Package evaluation of SoleModels on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T23:45:36.734 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.96s ################################################################################ # Installation # Installing SoleModels... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [4249d9c7] + SoleModels v0.10.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.19.0 [d1d4a3ce] + BitFlags v0.1.9 [336ed68f] + CSV v0.10.15 [acdeb78f] + Catch22 v0.7.0 [324d7699] + CategoricalArrays v0.10.8 [da1fd8a2] + CodeTracking v1.3.9 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [34da2185] + Compat v4.17.0 [807dbc54] + Compiler v0.1.1 [f0e56b4a] + ConcurrentUtilities v2.5.0 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [e7dc6d0d] + DataValues v0.4.13 [8bb1440f] + DelimitedFiles v1.9.1 [85a47980] + Dictionaries v0.4.5 [0703355e] + DimensionalData v0.29.18 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [411431e0] + Extents v0.1.6 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 [069b7b12] + FunctionWrappers v1.1.3 [86223c79] + Graphs v1.13.0 [cd3eb016] + HTTP v1.10.17 [34004b35] + HypergeometricFunctions v0.3.28 [313cdc1a] + Indexing v1.1.1 [d25df0c9] + Inflate v0.1.5 [842dd82b] + InlineStrings v1.4.4 [85a1e053] + Interfaces v0.3.2 [8197267c] + IntervalSets v0.7.11 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [1c8ee90f] + IterableTables v1.0.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [aa1ae85d] + JuliaInterpreter v0.10.3 [b964fa9f] + LaTeXStrings v1.4.0 [50d2b5c4] + Lazy v0.15.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [6f1432cf] + LoweredCodeUtils v3.4.1 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [739be429] + MbedTLS v1.1.9 [e1d29d7a] + Missings v1.2.0 [8cc5100c] + MultiData v0.1.4 [4d8831e6] + OpenSSL v1.5.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [69de0a69] + Parsers v2.8.3 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [1a8c2f83] + Query v1.0.0 [2aef5ad7] + QueryOperators v0.9.3 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [295af30f] + Revise v3.8.0 [79098fc4] + Rmath v0.8.0 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [91c51154] + SentinelArrays v1.4.8 [777ac1f9] + SimpleBufferStream v1.2.0 [699a6c99] + SimpleTraits v0.9.4 [4475fa32] + SoleBase v0.13.1 [123f1ae1] + SoleData v0.16.2 [b002da8f] + SoleLogics v0.13.2 [4249d9c7] + SoleModels v0.10.1 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [5e66a065] + TableShowUtils v0.2.6 [3783bdb8] + TableTraits v1.0.1 [382cd787] + TableTraitsUtils v1.0.2 [bd369af6] + Tables v1.12.1 [4239201d] + ThreadSafeDicts v0.1.6 [f3112013] + TimeseriesFeatures v0.6.1 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [2fbcfb34] + UniqueVectors v1.2.0 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [a5390f91] + ZipFile v0.10.1 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [8a07c0c5] + catch22_jll v0.5.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 5.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 562.28s ################################################################################ # Testing # Testing SoleModels Status `/tmp/jl_fmeoVV/Project.toml` [1520ce14] AbstractTrees v0.4.5 [324d7699] CategoricalArrays v0.10.8 [a93c6f00] DataFrames v1.7.0 [7806a523] DecisionTree v0.12.4 [1a297f60] FillArrays v1.13.0 [069b7b12] FunctionWrappers v1.1.3 [c8e1da08] IterTools v1.10.0 [50d2b5c4] Lazy v0.15.1 [add582a8] MLJ v0.20.8 [c6f25543] MLJDecisionTreeInterface v0.4.2 [e80e1ace] MLJModelInterface v1.11.1 [54119dfa] MLJXGBoostInterface v0.3.12 [8cc5100c] MultiData v0.1.4 [08abe8d2] PrettyTables v2.4.0 [189a3867] Reexport v1.2.2 [4475fa32] SoleBase v0.13.1 [123f1ae1] SoleData v0.16.2 [b002da8f] SoleLogics v0.13.2 [4249d9c7] SoleModels v0.10.1 [2913bbd2] StatsBase v0.34.5 [4239201d] ThreadSafeDicts v0.1.6 [009559a3] XGBoost v2.5.1 [8ba89e20] Distributed v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [d6f4376e] Markdown v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_fmeoVV/Manifest.toml` [da404889] ARFFFiles v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [acdeb78f] Catch22 v0.7.0 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.25.2 [da1fd8a2] CodeTracking v1.3.9 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.0.3 [34da2185] Compat v4.17.0 [807dbc54] Compiler v0.1.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [e7dc6d0d] DataValues v0.4.13 [7806a523] DecisionTree v0.12.4 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [85a47980] Dictionaries v0.4.5 [0703355e] DimensionalData v0.29.18 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [792122b4] EarlyStopping v0.3.0 [460bff9d] ExceptionUnwrapping v0.1.11 [411431e0] Extents v0.1.6 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [33837fe5] FeatureSelection v0.2.2 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [069b7b12] FunctionWrappers v1.1.3 [46192b85] GPUArraysCore v0.2.0 [86223c79] Graphs v1.13.0 [cd3eb016] HTTP v1.10.17 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [313cdc1a] Indexing v1.1.1 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.4 [85a1e053] Interfaces v0.3.2 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [1c8ee90f] IterableTables v1.0.0 [b3c1a2ee] IterationControl v0.5.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [aa1ae85d] JuliaInterpreter v0.10.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.37 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [50d2b5c4] Lazy v0.15.1 [92ad9a40] LearnAPI v1.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [6f1432cf] LoweredCodeUtils v3.4.1 [c2834f40] MLCore v1.0.0 ⌅ [64a0f543] MLFlowClient v0.5.1 [add582a8] MLJ v0.20.8 [45f359ea] MLJBalancing v0.1.5 [a7f614a8] MLJBase v1.8.1 [c6f25543] MLJDecisionTreeInterface v0.4.2 [50ed68f4] MLJEnsembles v0.4.3 [7b7b8358] MLJFlow v0.5.0 [614be32b] MLJIteration v0.6.3 [e80e1ace] MLJModelInterface v1.11.1 [d491faf4] MLJModels v0.17.9 [03970b2e] MLJTuning v0.8.8 [54119dfa] MLJXGBoostInterface v0.3.12 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.9 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [8cc5100c] MultiData v0.1.4 [872c559c] NNlib v0.9.30 [71a1bf82] NameResolution v0.1.5 [8b6db2d4] OpenML v0.3.2 [4d8831e6] OpenSSL v1.5.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.5 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [1a8c2f83] Query v1.0.0 [2aef5ad7] QueryOperators v0.9.3 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [05181044] RelocatableFolders v1.0.1 [ae029012] Requires v1.3.1 [295af30f] Revise v3.8.0 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [6e75b9c4] ScikitLearnBase v0.5.0 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.4 [4475fa32] SoleBase v0.13.1 [123f1ae1] SoleData v0.16.2 [b002da8f] SoleLogics v0.13.2 [4249d9c7] SoleModels v0.10.1 [a2af1166] SortingAlgorithms v1.2.1 [a0a7dd2c] SparseMatricesCSR v0.6.9 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.3 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [a19d573c] StatisticalMeasures v0.2.1 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [5e66a065] TableShowUtils v0.2.6 [3783bdb8] TableTraits v1.0.1 [382cd787] TableTraitsUtils v1.0.2 [bd369af6] Tables v1.12.1 [4239201d] ThreadSafeDicts v0.1.6 [f3112013] TimeseriesFeatures v0.6.1 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [2fbcfb34] UniqueVectors v1.2.0 [013be700] UnsafeAtomics v0.3.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [009559a3] XGBoost v2.5.1 [a5390f91] ZipFile v0.10.1 [4ee394cb] CUDA_Driver_jll v12.9.0+0 [76a88914] CUDA_Runtime_jll v0.18.0+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [c8ffd9c3] MbedTLS_jll v2.28.6+2 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [a5c6f535] XGBoost_jll v2.0.1+0 [8a07c0c5] catch22_jll v0.5.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 9116.9 ms ✓ MLCore 6847.4 ms ✓ Transducers 5081.9 ms ✓ ARFFFiles 8194.0 ms ✓ KernelAbstractions 3342.3 ms ✓ LatinHypercubeSampling 7117.4 ms ✓ MLFlowClient 5995.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 9907.7 ms ✓ CategoricalDistributions 2578.7 ms ✓ Transducers → TransducersAdaptExt 16222.6 ms ✓ FLoops 7454.2 ms ✓ OpenML 3270.7 ms ✓ KernelAbstractions → SparseArraysExt 2661.3 ms ✓ KernelAbstractions → LinearAlgebraExt 29081.7 ms ✓ MLJModels 15079.8 ms ✓ NNlib 3379.8 ms ✓ NNlib → NNlibSpecialFunctionsExt 23973.6 ms ✓ MLUtils 21759.5 ms ✓ StatisticalMeasuresBase 55636.3 ms ✓ StatisticalMeasures 20825.5 ms ✓ MLJBase 15819.2 ms ✓ MLJEnsembles 14882.2 ms ✓ StatisticalMeasures → ScientificTypesExt 16178.0 ms ✓ MLJBalancing 14072.1 ms ✓ MLJBase → DefaultMeasuresExt 20489.1 ms ✓ MLJIteration 16722.5 ms ✓ MLJTuning 17757.1 ms ✓ MLJFlow 38680.1 ms ✓ MLJ 28 dependencies successfully precompiled in 418 seconds. 178 already precompiled. Precompiling packages... 9574.1 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 11 seconds. 47 already precompiled. Precompiling packages... 8287.3 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 9 seconds. 63 already precompiled. Precompiling packages... 8036.7 ms ✓ MLJDecisionTreeInterface 1 dependency successfully precompiled in 8 seconds. 28 already precompiled. Julia version: 1.12.0-rc1.2 ################################################## TEST: base.jl TEST: test_tree.jl ################################################## TEST: misc.jl ################################################## TEST: parse.jl ################################################## TEST: juliacon2024.jl [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …). ▣ ([petal_width] < 0.75) ├✔ setosa └✘ ([petal_length] < 4.85) ├✔ ([petal_width] < 1.65) │ ├✔ versicolor │ └✘ ([sepal_width] < 3.1) │ ├✔ virginica │ └✘ versicolor └✘ ([petal_width] < 1.75) ├✔ ([petal_length] < 5.05) │ ├✔ ([sepal_length] < 6.15) │ │ ├✔ virginica │ │ └✘ versicolor │ └✘ virginica └✘ virginica ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬────────────┬────────────┬──────────┬────────────┬────────────┬─────────┬────────┐ │ Antecedent │ Consequent │ ninstances │ ncovered │ coverage │ confidence │ lift │ natoms │ ├───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼────────────┼────────────┼──────────┼────────────┼────────────┼─────────┼────────┤ │ [petal_width] < 0.75 │ setosa │ 120 │ 40 │ 0.333333 │ 1.0 │ 3.0 │ 1 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] < 4.85) ∧ ([petal_width] < 1.65) │ versicolor │ 120 │ 37 │ 0.308333 │ 1.0 │ 2.92683 │ 3 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] < 4.85) ∧ ([petal_width] ≥ 1.65) ∧ ([sepal_width] < 3.1) │ virginica │ 120 │ 2 │ 0.0166667 │ 1.0 │ 3.07692 │ 4 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] < 4.85) ∧ ([petal_width] ≥ 1.65) ∧ ([sepal_width] ≥ 3.1) │ versicolor │ 120 │ 1 │ 0.00833333 │ 1.0 │ 2.92683 │ 4 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] ≥ 4.85) ∧ ([petal_width] < 1.75) ∧ ([petal_length] < 5.05) ∧ ([sepal_length] < 6.15) │ virginica │ 120 │ 1 │ 0.00833333 │ 1.0 │ 3.07692 │ 5 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] ≥ 4.85) ∧ ([petal_width] < 1.75) ∧ ([petal_length] < 5.05) ∧ ([sepal_length] ≥ 6.15) │ versicolor │ 120 │ 3 │ 0.025 │ 1.0 │ 2.92683 │ 5 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] ≥ 4.85) ∧ ([petal_width] < 1.75) ∧ ([petal_length] ≥ 5.05) │ virginica │ 120 │ 3 │ 0.025 │ 1.0 │ 3.07692 │ 4 │ │ ([petal_width] ≥ 0.75) ∧ ([petal_length] ≥ 4.85) ∧ ([petal_width] ≥ 1.75) │ virginica │ 120 │ 33 │ 0.275 │ 1.0 │ 3.07692 │ 3 │ └───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴────────────┴────────────┴──────────┴────────────┴────────────┴─────────┴────────┘ ┌──────────────────────────────────────────────────────────────────────────────────────────┬────────────┬────────────┬──────────┬────────────┬────────────┬─────────┬────────┐ │ Antecedent │ Consequent │ ninstances │ ncovered │ coverage │ confidence │ lift │ natoms │ ├──────────────────────────────────────────────────────────────────────────────────────────┼────────────┼────────────┼──────────┼────────────┼────────────┼─────────┼────────┤ │ [petal_width] < 0.75 │ setosa │ 120 │ 40 │ 0.333333 │ 1.0 │ 3.0 │ 1 │ │ ([petal_width] ∈ [0.75,1.65)) ∧ ([petal_length] < 4.85) │ versicolor │ 120 │ 37 │ 0.308333 │ 1.0 │ 2.92683 │ 2 │ │ ([petal_width] ≥ 1.65) ∧ ([petal_length] < 4.85) ∧ ([sepal_width] < 3.1) │ virginica │ 120 │ 2 │ 0.0166667 │ 1.0 │ 3.07692 │ 3 │ │ ([petal_width] ≥ 1.65) ∧ ([petal_length] < 4.85) ∧ ([sepal_width] ≥ 3.1) │ versicolor │ 120 │ 1 │ 0.00833333 │ 1.0 │ 2.92683 │ 3 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ∈ [4.85,5.05)) ∧ ([sepal_length] < 6.15) │ virginica │ 120 │ 1 │ 0.00833333 │ 1.0 │ 3.07692 │ 3 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ∈ [4.85,5.05)) ∧ ([sepal_length] ≥ 6.15) │ versicolor │ 120 │ 3 │ 0.025 │ 1.0 │ 2.92683 │ 3 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ≥ 5.05) │ virginica │ 120 │ 3 │ 0.025 │ 1.0 │ 3.07692 │ 2 │ │ ([petal_width] ≥ 1.75) ∧ ([petal_length] ≥ 4.85) │ virginica │ 120 │ 33 │ 0.275 │ 1.0 │ 3.07692 │ 2 │ └──────────────────────────────────────────────────────────────────────────────────────────┴────────────┴────────────┴──────────┴────────────┴────────────┴─────────┴────────┘ ┌──────────────────────────────────────────────────────────────────────────────────────────┬────────────┬────────────┬──────────┬───────────┬────────────┬─────────┬────────┬────────┐ │ Antecedent │ Consequent │ ninstances │ ncovered │ coverage │ confidence │ lift │ natoms │ height │ ├──────────────────────────────────────────────────────────────────────────────────────────┼────────────┼────────────┼──────────┼───────────┼────────────┼─────────┼────────┼────────┤ │ [petal_width] < 0.75 │ setosa │ 30 │ 10 │ 0.333333 │ 1.0 │ 3.0 │ 1 │ 0 │ │ ([petal_width] ∈ [0.75,1.65)) ∧ ([petal_length] < 4.85) │ versicolor │ 30 │ 8 │ 0.266667 │ 1.0 │ 3.33333 │ 2 │ 1 │ │ ([petal_width] ≥ 1.65) ∧ ([petal_length] < 4.85) ∧ ([sepal_width] < 3.1) │ virginica │ 30 │ 1 │ 0.0333333 │ 1.0 │ 2.72727 │ 3 │ 2 │ │ ([petal_width] ≥ 1.65) ∧ ([petal_length] < 4.85) ∧ ([sepal_width] ≥ 3.1) │ versicolor │ 30 │ 0 │ 0.0 │ NaN │ NaN │ 3 │ 2 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ∈ [4.85,5.05)) ∧ ([sepal_length] < 6.15) │ virginica │ 30 │ 0 │ 0.0 │ NaN │ NaN │ 3 │ 2 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ∈ [4.85,5.05)) ∧ ([sepal_length] ≥ 6.15) │ versicolor │ 30 │ 0 │ 0.0 │ NaN │ NaN │ 3 │ 2 │ │ ([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ≥ 5.05) │ virginica │ 30 │ 1 │ 0.0333333 │ 0.0 │ 0.0 │ 2 │ 1 │ │ ([petal_width] ≥ 1.75) ∧ ([petal_length] ≥ 4.85) │ virginica │ 30 │ 10 │ 0.333333 │ 1.0 │ 2.72727 │ 2 │ 1 │ └──────────────────────────────────────────────────────────────────────────────────────────┴────────────┴────────────┴──────────┴───────────┴────────────┴─────────┴────────┴────────┘ ┌─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬────────────┬────────────┬──────────┬──────────┬────────────┬─────────┬────────┐ │ Antecedent │ Consequent │ ninstances │ ncovered │ coverage │ confidence │ lift │ natoms │ ├─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┼────────────┼────────────┼──────────┼──────────┼────────────┼─────────┼────────┤ │ [petal_width] < 0.75 │ setosa │ 30 │ 10 │ 0.333333 │ 1.0 │ 3.0 │ 1 │ │ [petal_width] ∈ [0.75,1.65) ∧ [petal_length] < 4.85 │ versicolor │ 30 │ 8 │ 0.266667 │ 1.0 │ 3.33333 │ 2 │ │ (([petal_width] ≥ 1.65) ∧ ([petal_length] < 4.85) ∧ ([sepal_width] < 3.1)) ∨ (([petal_width] ∈ [0.75,1.75)) ∧ ([petal_length] ≥ 5.05)) ∨ (([petal_width] ≥ 1.75) ∧ ([petal_length] ≥ 4.85)) │ virginica │ 90 │ 12 │ 0.133333 │ 0.916667 │ 2.5 │ 7 │ └─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴────────────┴────────────┴──────────┴──────────┴────────────┴─────────┴────────┘ ################################################## TEST: linear-form-utilities.jl ################################################## TEST: /home/pkgeval/.julia/packages/SoleModels/cpqga/pluto-demo.jl ################################################## TEST: DecisionTreeExt/tree.jl Training set size: (120, 4) - (120,) Test set size: (30, 4) - (30,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …). ▣ ([petal_width] < 0.75) ├✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) └✘ ([petal_width] < 1.75) ├✔ ([petal_length] < 4.95) │ ├✔ ([petal_width] < 1.65) │ │ ├✔ versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.55) │ ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ ([petal_length] < 5.449999999999999) │ ├✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) └✘ ([petal_length] < 4.85) ├✔ ([sepal_width] < 3.1) │ ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) └✘ virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] < 5.449999999999999)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] ≥ 5.449999999999999)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) ↣ versicolor : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) ↣ virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) ↣ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] < 5.449999999999999)) ↣ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] ≥ 5.449999999999999)) ↣ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) ↣ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) ↣ versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) ↣ virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3) ▣ ([petal_width] < 0.75) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) └✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4) └✔ versicolor : (ninstances = 40, ncovered = 40, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4) └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) └✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] < 5.449999999999999)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5) └✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] ≥ 5.449999999999999)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5) └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) └✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4) └✔ versicolor : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3) └✔ virginica : (ninstances = 30, ncovered = 30, confidence = 1.0, lift = 1.0) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 40, coverage = 0.33, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] < 5.449999999999999)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 2.79, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] ≥ 5.449999999999999)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.33, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.33, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) ↣ versicolor : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 2.79, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) ↣ virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.33, natoms = 3) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] ≥ 3.1)) ↣ versicolor : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 2.7906976744186047, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] ≥ 5.449999999999999)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.3333333333333335, natoms = 5, length = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] ≥ 1.55)) ∧ (([petal_length] < 5.449999999999999)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 2.7906976744186047, natoms = 5, length = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([petal_width] < 1.55)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] < 4.85)) ∧ (([sepal_width] < 3.1)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.3333333333333335, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ∧ (([petal_length] ≥ 4.85)) ↣ virginica : (ninstances = 120, ncovered = 30, coverage = 0.25, confidence = 1.0, lift = 3.3333333333333335, natoms = 3, length = 3) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 40, coverage = 0.3333333333333333, confidence = 1.0, lift = 2.7906976744186047, natoms = 4, length = 4) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.3416666666666667, confidence = 1.0, lift = 2.926829268292683, natoms = 1, length = 1) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ TEST: DecisionTreeExt/forest.jl Training set size: (120, 4) - (120,) Test set size: (30, 4) - (30,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(RandomForestClassifier(max_depth = 3, …), …). ▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}} ├[1/10]┐ ([sepal_length] < 5.75) │ ├✔ ([petal_width] < 0.7) │ │ ├✔ setosa : (ninstances = 8, ncovered = 8, confidence = 1.0, lift = 1.0) │ │ └✘ ([sepal_length] < 4.95) │ │ ├✔ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ │ └✘ versicolor : (ninstances = 2, ncovered = 2, confidence = 0.5, lift = 1.0) │ └✘ ([petal_length] < 4.95) │ ├✔ ([petal_width] < 1.7000000000000002) │ │ ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 0.86, lift = 1.0) │ │ └✘ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ ([petal_length] < 5.05) │ ├✔ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) ├[2/10]┐ ([petal_width] < 0.7) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.7000000000000002) │ ├✔ ([petal_width] < 1.45) │ │ ├✔ versicolor : (ninstances = 6, ncovered = 6, confidence = 0.83, lift = 1.0) │ │ └✘ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) ├[3/10]┐ ([petal_length] < 2.35) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_length] < 4.699999999999999) │ ├✔ versicolor : (ninstances = 6, ncovered = 6, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 6.4) │ ├✔ virginica : (ninstances = 6, ncovered = 6, confidence = 0.83, lift = 1.0) │ └✘ virginica : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) ├[4/10]┐ ([sepal_length] < 5.45) │ ├✔ ([petal_length] < 2.35) │ │ ├✔ setosa : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0) │ │ └✘ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ ([petal_width] < 1.75) │ ├✔ ([petal_length] < 2.45) │ │ ├✔ setosa : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ │ └✘ versicolor : (ninstances = 8, ncovered = 8, confidence = 0.88, lift = 1.0) │ └✘ ([petal_length] < 4.85) │ ├✔ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) ├[5/10]┐ ([petal_length] < 2.5) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 7.1) │ ├✔ ([petal_width] < 1.75) │ │ ├✔ versicolor : (ninstances = 8, ncovered = 8, confidence = 0.88, lift = 1.0) │ │ └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 3, ncovered = 3, confidence = 1.0, lift = 1.0) ├[6/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.65) │ ├✔ versicolor : (ninstances = 8, ncovered = 8, confidence = 0.88, lift = 1.0) │ └✘ ([petal_length] < 4.85) │ ├✔ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) ├[7/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_length] < 4.95) │ ├✔ ([petal_length] < 4.75) │ │ ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0) │ │ └✘ versicolor : (ninstances = 1, ncovered = 1, confidence = 0.0, lift = NaN) │ └✘ ([sepal_length] < 6.15) │ ├✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 0.0, lift = NaN) │ └✘ virginica : (ninstances = 11, ncovered = 11, confidence = 1.0, lift = 1.0) ├[8/10]┐ ([petal_length] < 2.5) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 6.15) │ ├✔ ([petal_length] < 4.699999999999999) │ │ ├✔ versicolor : (ninstances = 3, ncovered = 3, confidence = 1.0, lift = 1.0) │ │ └✘ versicolor : (ninstances = 4, ncovered = 4, confidence = 0.25, lift = 1.0) │ └✘ ([petal_width] < 1.55) │ ├✔ versicolor : (ninstances = 3, ncovered = 3, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 11, ncovered = 11, confidence = 1.0, lift = 1.0) ├[9/10]┐ ([petal_width] < 0.75) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.7000000000000002) │ ├✔ ([petal_width] < 1.45) │ │ ├✔ versicolor : (ninstances = 6, ncovered = 6, confidence = 0.83, lift = 1.0) │ │ └✘ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 5.95) │ ├✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 0.0, lift = NaN) │ └✘ virginica : (ninstances = 11, ncovered = 11, confidence = 1.0, lift = 1.0) └[10/10]┐ ([sepal_length] < 5.55) ├✔ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) └✘ ([petal_width] < 1.7000000000000002) ├✔ ([petal_width] < 1.45) │ ├✔ versicolor : (ninstances = 8, ncovered = 8, confidence = 0.62, lift = 1.0) │ └✘ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (60 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 30, "versicolor" => 30), argmax: virginica, max: 30 (sum = 60) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (30 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 15, "versicolor" => 15), argmax: virginica, max: 15 (sum = 30) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (20 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 10, "versicolor" => 10), argmax: virginica, max: 10 (sum = 20) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (40 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 20, "versicolor" => 20), argmax: virginica, max: 20 (sum = 40) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 ┌ Warning: Parity encountered in bestguess! counts (50 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 25, "versicolor" => 25), argmax: virginica, max: 25 (sum = 50) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 TEST: DecisionTreeExt/adaboost.jl Training set size: (105, 4) - (105,) Test set size: (45, 4) - (45,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}} ├[1/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0) ├[2/10]┐ ([petal_width] < 0.75) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0) ├[3/10]┐ ([petal_width] < 1.75) │ ├✔ versicolor : (ninstances = 30, ncovered = 30, confidence = 0.5, lift = 1.0) │ └✘ virginica : (ninstances = 15, ncovered = 15, confidence = 1.0, lift = 1.0) ├[4/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0) ├[5/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0) ├[6/10]┐ ([petal_length] < 5.05) │ ├✔ versicolor : (ninstances = 30, ncovered = 30, confidence = 0.47, lift = 1.0) │ └✘ virginica : (ninstances = 15, ncovered = 15, confidence = 0.93, lift = 1.0) ├[7/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0) ├[8/10]┐ ([petal_length] < 2.5999999999999996) │ ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 32, ncovered = 32, confidence = 0.53, lift = 1.0) ├[9/10]┐ ([petal_length] < 4.85) │ ├✔ versicolor : (ninstances = 28, ncovered = 28, confidence = 0.5, lift = 1.0) │ └✘ virginica : (ninstances = 17, ncovered = 17, confidence = 0.94, lift = 1.0) └[10/10]┐ ([petal_length] < 2.5999999999999996) ├✔ setosa : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) └✘ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.47, lift = 1.0) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ AdaBoost accuracy: 0.9333333333333333 DecisionTree accuracy: 0.9333333333333333 RandomForest accuracy: 0.9333333333333333 [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ################################################## TEST: XGBoostExt/xgboost_classifier.jl Training set size: (105, 4) - (105,) Test set size: (45, 4) - (45,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJXGBoostInterfacePrecompiling packages... 9238.5 ms ✓ MLJXGBoostInterface 1 dependency successfully precompiled in 10 seconds. 60 already precompiled. ✔ [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74400811081840879 [ Info: [2] train-mlogloss:0.53582954633803592 [ Info: [3] train-mlogloss:0.39975637083961851 [ Info: [4] train-mlogloss:0.30303399023555572 [ Info: [5] train-mlogloss:0.23674351175626118 [ Info: [6] train-mlogloss:0.18685626628853025 [ Info: [7] train-mlogloss:0.15057624223686400 [ Info: [8] train-mlogloss:0.12396132789907001 [ Info: [9] train-mlogloss:0.10413119360094979 [ Info: [10] train-mlogloss:0.08655083143994921 [ Info: Training rounds complete. [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ┌ Warning: Parity encountered in bestguess! counts (10 elements): Dict{CategoricalValue{String, UInt32}, Int64}("virginica" => 5, "versicolor" => 5), argmax: virginica, max: 5 (sum = 10) └ @ SoleBase ~/.julia/packages/SoleBase/qxWdo/src/machine-learning-utils.jl:97 XGBoost accuracy: 0.9777777777777777 DecisionTree accuracy: 0.9111111111111111 RandomForest accuracy: 0.9777777777777777 [ Info: For silent loading, specify `verbosity=0`. import MLJXGBoostInterface ✔ [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97303526560465492 [ Info: [2] train-mlogloss:0.86681072870890297 [ Info: [3] train-mlogloss:0.77536027987798051 [ Info: [4] train-mlogloss:0.69663943131764727 [ Info: [5] train-mlogloss:0.62764670928319299 [ Info: [6] train-mlogloss:0.56755314191182460 [ Info: [7] train-mlogloss:0.51416763067245486 [ Info: [8] train-mlogloss:0.46735872109731036 [ Info: [9] train-mlogloss:0.42534413456916809 [ Info: [10] train-mlogloss:0.38722346703211469 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85693743546803791 [ Info: [2] train-mlogloss:0.68395949761072794 [ Info: [3] train-mlogloss:0.55416595141092939 [ Info: [4] train-mlogloss:0.45518071850140890 [ Info: [5] train-mlogloss:0.37706529140472411 [ Info: [6] train-mlogloss:0.31401668111483255 [ Info: [7] train-mlogloss:0.26347950895627342 [ Info: [8] train-mlogloss:0.22294985155264538 [ Info: [9] train-mlogloss:0.18979609509309134 [ Info: [10] train-mlogloss:0.16287098566691080 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75068415085474649 [ Info: [2] train-mlogloss:0.54054476340611779 [ Info: [3] train-mlogloss:0.39900970180829365 [ Info: [4] train-mlogloss:0.30195361892382305 [ Info: [5] train-mlogloss:0.23398463209470113 [ Info: [6] train-mlogloss:0.18359487911065420 [ Info: [7] train-mlogloss:0.14613681097825368 [ Info: [8] train-mlogloss:0.11840282479921976 [ Info: [9] train-mlogloss:0.09790521105130513 [ Info: [10] train-mlogloss:0.08160500586032868 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65444699128468831 [ Info: [2] train-mlogloss:0.42826437314351401 [ Info: [3] train-mlogloss:0.29186661203702291 [ Info: [4] train-mlogloss:0.20708909769852957 [ Info: [5] train-mlogloss:0.15102903644243876 [ Info: [6] train-mlogloss:0.11367757509152095 [ Info: [7] train-mlogloss:0.08784683759013812 [ Info: [8] train-mlogloss:0.06980310728152593 [ Info: [9] train-mlogloss:0.05665555953979493 [ Info: [10] train-mlogloss:0.04730187453329563 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56818844636281329 [ Info: [2] train-mlogloss:0.34039292852083841 [ Info: [3] train-mlogloss:0.21645387073357900 [ Info: [4] train-mlogloss:0.14589587787787120 [ Info: [5] train-mlogloss:0.10228873292605083 [ Info: [6] train-mlogloss:0.07531118894616763 [ Info: [7] train-mlogloss:0.05755843917528788 [ Info: [8] train-mlogloss:0.04596844352781772 [ Info: [9] train-mlogloss:0.03907067795594533 [ Info: [10] train-mlogloss:0.03392551474273205 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49166585882504782 [ Info: [2] train-mlogloss:0.27164461433887482 [ Info: [3] train-mlogloss:0.16394140024979909 [ Info: [4] train-mlogloss:0.10503483007351558 [ Info: [5] train-mlogloss:0.07246210083365440 [ Info: [6] train-mlogloss:0.05270115728179614 [ Info: [7] train-mlogloss:0.04139043430487315 [ Info: [8] train-mlogloss:0.03463134673734506 [ Info: [9] train-mlogloss:0.03114433138320843 [ Info: [10] train-mlogloss:0.02952345548818509 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97303526560465492 [ Info: [2] train-mlogloss:0.86681072870890297 [ Info: [3] train-mlogloss:0.77536027987798051 [ Info: [4] train-mlogloss:0.69663943131764727 [ Info: [5] train-mlogloss:0.62764670928319299 [ Info: [6] train-mlogloss:0.56755314191182460 [ Info: [7] train-mlogloss:0.51416763067245486 [ Info: [8] train-mlogloss:0.46735872109731036 [ Info: [9] train-mlogloss:0.42534413456916809 [ Info: [10] train-mlogloss:0.38722346703211469 [ Info: [11] train-mlogloss:0.35334826310475670 [ Info: [12] train-mlogloss:0.32295070528984071 [ Info: [13] train-mlogloss:0.29575181563695274 [ Info: [14] train-mlogloss:0.27139131565888724 [ Info: [15] train-mlogloss:0.24944237013657888 [ Info: [16] train-mlogloss:0.22970094978809358 [ Info: [17] train-mlogloss:0.21189393341541291 [ Info: [18] train-mlogloss:0.19576094349225362 [ Info: [19] train-mlogloss:0.18119404236475625 [ Info: [20] train-mlogloss:0.16793272455533345 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85693743546803791 [ Info: [2] train-mlogloss:0.68395949761072794 [ Info: [3] train-mlogloss:0.55416595141092939 [ Info: [4] train-mlogloss:0.45518071850140890 [ Info: [5] train-mlogloss:0.37706529140472411 [ Info: [6] train-mlogloss:0.31401668111483255 [ Info: [7] train-mlogloss:0.26347950895627342 [ Info: [8] train-mlogloss:0.22294985155264538 [ Info: [9] train-mlogloss:0.18979609509309134 [ Info: [10] train-mlogloss:0.16287098566691080 [ Info: [11] train-mlogloss:0.14047679543495178 [ Info: [12] train-mlogloss:0.12211715052525203 [ Info: [13] train-mlogloss:0.10702229897181192 [ Info: [14] train-mlogloss:0.09424269249041875 [ Info: [15] train-mlogloss:0.08354941040277480 [ Info: [16] train-mlogloss:0.07452955106894175 [ Info: [17] train-mlogloss:0.06692012722293536 [ Info: [18] train-mlogloss:0.06045935859282812 [ Info: [19] train-mlogloss:0.05486604576309522 [ Info: [20] train-mlogloss:0.05023431787888209 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75068415085474649 [ Info: [2] train-mlogloss:0.54054476340611779 [ Info: [3] train-mlogloss:0.39900970180829365 [ Info: [4] train-mlogloss:0.30195361892382305 [ Info: [5] train-mlogloss:0.23398463209470113 [ Info: [6] train-mlogloss:0.18359487911065420 [ Info: [7] train-mlogloss:0.14613681097825368 [ Info: [8] train-mlogloss:0.11840282479921976 [ Info: [9] train-mlogloss:0.09790521105130513 [ Info: [10] train-mlogloss:0.08160500586032868 [ Info: [11] train-mlogloss:0.06889135415355364 [ Info: [12] train-mlogloss:0.05906422227621078 [ Info: [13] train-mlogloss:0.05149025902152062 [ Info: [14] train-mlogloss:0.04572580091655255 [ Info: [15] train-mlogloss:0.04143396541476250 [ Info: [16] train-mlogloss:0.03797549188137055 [ Info: [17] train-mlogloss:0.03483645923435688 [ Info: [18] train-mlogloss:0.03372299119830131 [ Info: [19] train-mlogloss:0.03213611974070470 [ Info: [20] train-mlogloss:0.03130870040506124 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65444699128468831 [ Info: [2] train-mlogloss:0.42826437314351401 [ Info: [3] train-mlogloss:0.29186661203702291 [ Info: [4] train-mlogloss:0.20708909769852957 [ Info: [5] train-mlogloss:0.15102903644243876 [ Info: [6] train-mlogloss:0.11367757509152095 [ Info: [7] train-mlogloss:0.08784683759013812 [ Info: [8] train-mlogloss:0.06980310728152593 [ Info: [9] train-mlogloss:0.05665555953979493 [ Info: [10] train-mlogloss:0.04730187453329563 [ Info: [11] train-mlogloss:0.04156431426604589 [ Info: [12] train-mlogloss:0.03682401033739249 [ Info: [13] train-mlogloss:0.03305414769798518 [ Info: [14] train-mlogloss:0.03165331193556388 [ Info: [15] train-mlogloss:0.03037808512647947 [ Info: [16] train-mlogloss:0.02938247906665007 [ Info: [17] train-mlogloss:0.02853367970635494 [ Info: [18] train-mlogloss:0.02771660803506772 [ Info: [19] train-mlogloss:0.02698879467944304 [ Info: [20] train-mlogloss:0.02630623852213224 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56818844636281329 [ Info: [2] train-mlogloss:0.34039292852083841 [ Info: [3] train-mlogloss:0.21645387073357900 [ Info: [4] train-mlogloss:0.14589587787787120 [ Info: [5] train-mlogloss:0.10228873292605083 [ Info: [6] train-mlogloss:0.07531118894616763 [ Info: [7] train-mlogloss:0.05755843917528788 [ Info: [8] train-mlogloss:0.04596844352781772 [ Info: [9] train-mlogloss:0.03907067795594533 [ Info: [10] train-mlogloss:0.03392551474273205 [ Info: [11] train-mlogloss:0.03205892627437910 [ Info: [12] train-mlogloss:0.03059525563071171 [ Info: [13] train-mlogloss:0.02937757220119238 [ Info: [14] train-mlogloss:0.02834596782922745 [ Info: [15] train-mlogloss:0.02742651098718246 [ Info: [16] train-mlogloss:0.02655697156985601 [ Info: [17] train-mlogloss:0.02581542182713747 [ Info: [18] train-mlogloss:0.02508832894886533 [ Info: [19] train-mlogloss:0.02450242256745696 [ Info: [20] train-mlogloss:0.02405212646971146 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49166585882504782 [ Info: [2] train-mlogloss:0.27164461433887482 [ Info: [3] train-mlogloss:0.16394140024979909 [ Info: [4] train-mlogloss:0.10503483007351558 [ Info: [5] train-mlogloss:0.07246210083365440 [ Info: [6] train-mlogloss:0.05270115728179614 [ Info: [7] train-mlogloss:0.04139043430487315 [ Info: [8] train-mlogloss:0.03463134673734506 [ Info: [9] train-mlogloss:0.03114433138320843 [ Info: [10] train-mlogloss:0.02952345548818509 [ Info: [11] train-mlogloss:0.02822415060053269 [ Info: [12] train-mlogloss:0.02715181789050499 [ Info: [13] train-mlogloss:0.02604456989715497 [ Info: [14] train-mlogloss:0.02519749668737253 [ Info: [15] train-mlogloss:0.02442610236505667 [ Info: [16] train-mlogloss:0.02374750842029850 [ Info: [17] train-mlogloss:0.02363277238483230 [ Info: [18] train-mlogloss:0.02355677832538883 [ Info: [19] train-mlogloss:0.02350447574630380 [ Info: [20] train-mlogloss:0.02331847511231899 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97303526560465492 [ Info: [2] train-mlogloss:0.86681072870890297 [ Info: [3] train-mlogloss:0.77536027987798051 [ Info: [4] train-mlogloss:0.69663943131764727 [ Info: [5] train-mlogloss:0.62764670928319299 [ Info: [6] train-mlogloss:0.56755314191182460 [ Info: [7] train-mlogloss:0.51416763067245486 [ Info: [8] train-mlogloss:0.46735872109731036 [ Info: [9] train-mlogloss:0.42534413456916809 [ Info: [10] train-mlogloss:0.38722346703211469 [ Info: [11] train-mlogloss:0.35334826310475670 [ Info: [12] train-mlogloss:0.32295070528984071 [ Info: [13] train-mlogloss:0.29575181563695274 [ Info: [14] train-mlogloss:0.27139131565888724 [ Info: [15] train-mlogloss:0.24944237013657888 [ Info: [16] train-mlogloss:0.22970094978809358 [ Info: [17] train-mlogloss:0.21189393341541291 [ Info: [18] train-mlogloss:0.19576094349225362 [ Info: [19] train-mlogloss:0.18119404236475625 [ Info: [20] train-mlogloss:0.16793272455533345 [ Info: [21] train-mlogloss:0.15590444227059683 [ Info: [22] train-mlogloss:0.14505024641752243 [ Info: [23] train-mlogloss:0.13512413312991461 [ Info: [24] train-mlogloss:0.12614563783009847 [ Info: [25] train-mlogloss:0.11816421121358872 [ Info: [26] train-mlogloss:0.11091286669174830 [ Info: [27] train-mlogloss:0.10400876392920812 [ Info: [28] train-mlogloss:0.09770175437132518 [ Info: [29] train-mlogloss:0.09190271218617757 [ Info: [30] train-mlogloss:0.08659387995799382 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85693743546803791 [ Info: [2] train-mlogloss:0.68395949761072794 [ Info: [3] train-mlogloss:0.55416595141092939 [ Info: [4] train-mlogloss:0.45518071850140890 [ Info: [5] train-mlogloss:0.37706529140472411 [ Info: [6] train-mlogloss:0.31401668111483255 [ Info: [7] train-mlogloss:0.26347950895627342 [ Info: [8] train-mlogloss:0.22294985155264538 [ Info: [9] train-mlogloss:0.18979609509309134 [ Info: [10] train-mlogloss:0.16287098566691080 [ Info: [11] train-mlogloss:0.14047679543495178 [ Info: [12] train-mlogloss:0.12211715052525203 [ Info: [13] train-mlogloss:0.10702229897181192 [ Info: [14] train-mlogloss:0.09424269249041875 [ Info: [15] train-mlogloss:0.08354941040277480 [ Info: [16] train-mlogloss:0.07452955106894175 [ Info: [17] train-mlogloss:0.06692012722293536 [ Info: [18] train-mlogloss:0.06045935859282812 [ Info: [19] train-mlogloss:0.05486604576309522 [ Info: [20] train-mlogloss:0.05023431787888209 [ Info: [21] train-mlogloss:0.04656886368989945 [ Info: [22] train-mlogloss:0.04355506623784701 [ Info: [23] train-mlogloss:0.04090631266434987 [ Info: [24] train-mlogloss:0.03859013962248961 [ Info: [25] train-mlogloss:0.03633870522181193 [ Info: [26] train-mlogloss:0.03441101394593716 [ Info: [27] train-mlogloss:0.03328647308051586 [ Info: [28] train-mlogloss:0.03260112776110569 [ Info: [29] train-mlogloss:0.03192229922860861 [ Info: [30] train-mlogloss:0.03127532816181580 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75068415085474649 [ Info: [2] train-mlogloss:0.54054476340611779 [ Info: [3] train-mlogloss:0.39900970180829365 [ Info: [4] train-mlogloss:0.30195361892382305 [ Info: [5] train-mlogloss:0.23398463209470113 [ Info: [6] train-mlogloss:0.18359487911065420 [ Info: [7] train-mlogloss:0.14613681097825368 [ Info: [8] train-mlogloss:0.11840282479921976 [ Info: [9] train-mlogloss:0.09790521105130513 [ Info: [10] train-mlogloss:0.08160500586032868 [ Info: [11] train-mlogloss:0.06889135415355364 [ Info: [12] train-mlogloss:0.05906422227621078 [ Info: [13] train-mlogloss:0.05149025902152062 [ Info: [14] train-mlogloss:0.04572580091655255 [ Info: [15] train-mlogloss:0.04143396541476250 [ Info: [16] train-mlogloss:0.03797549188137055 [ Info: [17] train-mlogloss:0.03483645923435688 [ Info: [18] train-mlogloss:0.03372299119830131 [ Info: [19] train-mlogloss:0.03213611974070470 [ Info: [20] train-mlogloss:0.03130870040506124 [ Info: [21] train-mlogloss:0.03039634566754103 [ Info: [22] train-mlogloss:0.02962352594981591 [ Info: [23] train-mlogloss:0.02897786830862363 [ Info: [24] train-mlogloss:0.02840526783217986 [ Info: [25] train-mlogloss:0.02785544695953528 [ Info: [26] train-mlogloss:0.02731679450720549 [ Info: [27] train-mlogloss:0.02681098292271296 [ Info: [28] train-mlogloss:0.02633165674904982 [ Info: [29] train-mlogloss:0.02590892061591148 [ Info: [30] train-mlogloss:0.02553933112571637 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65444699128468831 [ Info: [2] train-mlogloss:0.42826437314351401 [ Info: [3] train-mlogloss:0.29186661203702291 [ Info: [4] train-mlogloss:0.20708909769852957 [ Info: [5] train-mlogloss:0.15102903644243876 [ Info: [6] train-mlogloss:0.11367757509152095 [ Info: [7] train-mlogloss:0.08784683759013812 [ Info: [8] train-mlogloss:0.06980310728152593 [ Info: [9] train-mlogloss:0.05665555953979493 [ Info: [10] train-mlogloss:0.04730187453329563 [ Info: [11] train-mlogloss:0.04156431426604589 [ Info: [12] train-mlogloss:0.03682401033739249 [ Info: [13] train-mlogloss:0.03305414769798518 [ Info: [14] train-mlogloss:0.03165331193556388 [ Info: [15] train-mlogloss:0.03037808512647947 [ Info: [16] train-mlogloss:0.02938247906665007 [ Info: [17] train-mlogloss:0.02853367970635494 [ Info: [18] train-mlogloss:0.02771660803506772 [ Info: [19] train-mlogloss:0.02698879467944304 [ Info: [20] train-mlogloss:0.02630623852213224 [ Info: [21] train-mlogloss:0.02576617034773032 [ Info: [22] train-mlogloss:0.02529656573509177 [ Info: [23] train-mlogloss:0.02490968425447742 [ Info: [24] train-mlogloss:0.02456074197466175 [ Info: [25] train-mlogloss:0.02426972915728887 [ Info: [26] train-mlogloss:0.02419148628289501 [ Info: [27] train-mlogloss:0.02412901447465022 [ Info: [28] train-mlogloss:0.02400403639922540 [ Info: [29] train-mlogloss:0.02393278445427616 [ Info: [30] train-mlogloss:0.02387129054094354 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56818844636281329 [ Info: [2] train-mlogloss:0.34039292852083841 [ Info: [3] train-mlogloss:0.21645387073357900 [ Info: [4] train-mlogloss:0.14589587787787120 [ Info: [5] train-mlogloss:0.10228873292605083 [ Info: [6] train-mlogloss:0.07531118894616763 [ Info: [7] train-mlogloss:0.05755843917528788 [ Info: [8] train-mlogloss:0.04596844352781772 [ Info: [9] train-mlogloss:0.03907067795594533 [ Info: [10] train-mlogloss:0.03392551474273205 [ Info: [11] train-mlogloss:0.03205892627437910 [ Info: [12] train-mlogloss:0.03059525563071171 [ Info: [13] train-mlogloss:0.02937757220119238 [ Info: [14] train-mlogloss:0.02834596782922745 [ Info: [15] train-mlogloss:0.02742651098718246 [ Info: [16] train-mlogloss:0.02655697156985601 [ Info: [17] train-mlogloss:0.02581542182713747 [ Info: [18] train-mlogloss:0.02508832894886533 [ Info: [19] train-mlogloss:0.02450242256745696 [ Info: [20] train-mlogloss:0.02405212646971146 [ Info: [21] train-mlogloss:0.02369228569169839 [ Info: [22] train-mlogloss:0.02362370400379101 [ Info: [23] train-mlogloss:0.02355916144326329 [ Info: [24] train-mlogloss:0.02350790376464526 [ Info: [25] train-mlogloss:0.02345853100220362 [ Info: [26] train-mlogloss:0.02341806755711635 [ Info: [27] train-mlogloss:0.02337877804413438 [ Info: [28] train-mlogloss:0.02334592638537288 [ Info: [29] train-mlogloss:0.02331403084720175 [ Info: [30] train-mlogloss:0.02328174645081162 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49166585882504782 [ Info: [2] train-mlogloss:0.27164461433887482 [ Info: [3] train-mlogloss:0.16394140024979909 [ Info: [4] train-mlogloss:0.10503483007351558 [ Info: [5] train-mlogloss:0.07246210083365440 [ Info: [6] train-mlogloss:0.05270115728179614 [ Info: [7] train-mlogloss:0.04139043430487315 [ Info: [8] train-mlogloss:0.03463134673734506 [ Info: [9] train-mlogloss:0.03114433138320843 [ Info: [10] train-mlogloss:0.02952345548818509 [ Info: [11] train-mlogloss:0.02822415060053269 [ Info: [12] train-mlogloss:0.02715181789050499 [ Info: [13] train-mlogloss:0.02604456989715497 [ Info: [14] train-mlogloss:0.02519749668737253 [ Info: [15] train-mlogloss:0.02442610236505667 [ Info: [16] train-mlogloss:0.02374750842029850 [ Info: [17] train-mlogloss:0.02363277238483230 [ Info: [18] train-mlogloss:0.02355677832538883 [ Info: [19] train-mlogloss:0.02350447574630380 [ Info: [20] train-mlogloss:0.02331847511231899 [ Info: [21] train-mlogloss:0.02325888925542434 [ Info: [22] train-mlogloss:0.02321829905112584 [ Info: [23] train-mlogloss:0.02318970424433549 [ Info: [24] train-mlogloss:0.02300185093656182 [ Info: [25] train-mlogloss:0.02296364627778530 [ Info: [26] train-mlogloss:0.02293778230746587 [ Info: [27] train-mlogloss:0.02291966419046124 [ Info: [28] train-mlogloss:0.02289494204024474 [ Info: [29] train-mlogloss:0.02287846719846130 [ Info: [30] train-mlogloss:0.02285834512983759 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97303526560465492 [ Info: [2] train-mlogloss:0.86681072870890297 [ Info: [3] train-mlogloss:0.77536027987798051 [ Info: [4] train-mlogloss:0.69663943131764727 [ Info: [5] train-mlogloss:0.62764670928319299 [ Info: [6] train-mlogloss:0.56755314191182460 [ Info: [7] train-mlogloss:0.51416763067245486 [ Info: [8] train-mlogloss:0.46735872109731036 [ Info: [9] train-mlogloss:0.42534413456916809 [ Info: [10] train-mlogloss:0.38722346703211469 [ Info: [11] train-mlogloss:0.35334826310475670 [ Info: [12] train-mlogloss:0.32295070528984071 [ Info: [13] train-mlogloss:0.29575181563695274 [ Info: [14] train-mlogloss:0.27139131565888724 [ Info: [15] train-mlogloss:0.24944237013657888 [ Info: [16] train-mlogloss:0.22970094978809358 [ Info: [17] train-mlogloss:0.21189393341541291 [ Info: [18] train-mlogloss:0.19576094349225362 [ Info: [19] train-mlogloss:0.18119404236475625 [ Info: [20] train-mlogloss:0.16793272455533345 [ Info: [21] train-mlogloss:0.15590444227059683 [ Info: [22] train-mlogloss:0.14505024641752243 [ Info: [23] train-mlogloss:0.13512413312991461 [ Info: [24] train-mlogloss:0.12614563783009847 [ Info: [25] train-mlogloss:0.11816421121358872 [ Info: [26] train-mlogloss:0.11091286669174830 [ Info: [27] train-mlogloss:0.10400876392920812 [ Info: [28] train-mlogloss:0.09770175437132518 [ Info: [29] train-mlogloss:0.09190271218617757 [ Info: [30] train-mlogloss:0.08659387995799382 [ Info: [31] train-mlogloss:0.08171720917026203 [ Info: [32] train-mlogloss:0.07722439651687940 [ Info: [33] train-mlogloss:0.07309748694300651 [ Info: [34] train-mlogloss:0.06927619313200314 [ Info: [35] train-mlogloss:0.06578022097547849 [ Info: [36] train-mlogloss:0.06261455754439037 [ Info: [37] train-mlogloss:0.05960300609469413 [ Info: [38] train-mlogloss:0.05687986070911089 [ Info: [39] train-mlogloss:0.05435978675882022 [ Info: [40] train-mlogloss:0.05209069386124611 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85693743546803791 [ Info: [2] train-mlogloss:0.68395949761072794 [ Info: [3] train-mlogloss:0.55416595141092939 [ Info: [4] train-mlogloss:0.45518071850140890 [ Info: [5] train-mlogloss:0.37706529140472411 [ Info: [6] train-mlogloss:0.31401668111483255 [ Info: [7] train-mlogloss:0.26347950895627342 [ Info: [8] train-mlogloss:0.22294985155264538 [ Info: [9] train-mlogloss:0.18979609509309134 [ Info: [10] train-mlogloss:0.16287098566691080 [ Info: [11] train-mlogloss:0.14047679543495178 [ Info: [12] train-mlogloss:0.12211715052525203 [ Info: [13] train-mlogloss:0.10702229897181192 [ Info: [14] train-mlogloss:0.09424269249041875 [ Info: [15] train-mlogloss:0.08354941040277480 [ Info: [16] train-mlogloss:0.07452955106894175 [ Info: [17] train-mlogloss:0.06692012722293536 [ Info: [18] train-mlogloss:0.06045935859282812 [ Info: [19] train-mlogloss:0.05486604576309522 [ Info: [20] train-mlogloss:0.05023431787888209 [ Info: [21] train-mlogloss:0.04656886368989945 [ Info: [22] train-mlogloss:0.04355506623784701 [ Info: [23] train-mlogloss:0.04090631266434987 [ Info: [24] train-mlogloss:0.03859013962248961 [ Info: [25] train-mlogloss:0.03633870522181193 [ Info: [26] train-mlogloss:0.03441101394593716 [ Info: [27] train-mlogloss:0.03328647308051586 [ Info: [28] train-mlogloss:0.03260112776110569 [ Info: [29] train-mlogloss:0.03192229922860861 [ Info: [30] train-mlogloss:0.03127532816181580 [ Info: [31] train-mlogloss:0.03068265980730454 [ Info: [32] train-mlogloss:0.03011083164562782 [ Info: [33] train-mlogloss:0.02963273810843627 [ Info: [34] train-mlogloss:0.02919174797832966 [ Info: [35] train-mlogloss:0.02878668078531822 [ Info: [36] train-mlogloss:0.02838813447703918 [ Info: [37] train-mlogloss:0.02801933883378903 [ Info: [38] train-mlogloss:0.02765243214865526 [ Info: [39] train-mlogloss:0.02730709717919429 [ Info: [40] train-mlogloss:0.02697627263764540 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75068415085474649 [ Info: [2] train-mlogloss:0.54054476340611779 [ Info: [3] train-mlogloss:0.39900970180829365 [ Info: [4] train-mlogloss:0.30195361892382305 [ Info: [5] train-mlogloss:0.23398463209470113 [ Info: [6] train-mlogloss:0.18359487911065420 [ Info: [7] train-mlogloss:0.14613681097825368 [ Info: [8] train-mlogloss:0.11840282479921976 [ Info: [9] train-mlogloss:0.09790521105130513 [ Info: [10] train-mlogloss:0.08160500586032868 [ Info: [11] train-mlogloss:0.06889135415355364 [ Info: [12] train-mlogloss:0.05906422227621078 [ Info: [13] train-mlogloss:0.05149025902152062 [ Info: [14] train-mlogloss:0.04572580091655255 [ Info: [15] train-mlogloss:0.04143396541476250 [ Info: [16] train-mlogloss:0.03797549188137055 [ Info: [17] train-mlogloss:0.03483645923435688 [ Info: [18] train-mlogloss:0.03372299119830131 [ Info: [19] train-mlogloss:0.03213611974070470 [ Info: [20] train-mlogloss:0.03130870040506124 [ Info: [21] train-mlogloss:0.03039634566754103 [ Info: [22] train-mlogloss:0.02962352594981591 [ Info: [23] train-mlogloss:0.02897786830862363 [ Info: [24] train-mlogloss:0.02840526783217986 [ Info: [25] train-mlogloss:0.02785544695953528 [ Info: [26] train-mlogloss:0.02731679450720549 [ Info: [27] train-mlogloss:0.02681098292271296 [ Info: [28] train-mlogloss:0.02633165674904982 [ Info: [29] train-mlogloss:0.02590892061591148 [ Info: [30] train-mlogloss:0.02553933112571637 [ Info: [31] train-mlogloss:0.02521204717457294 [ Info: [32] train-mlogloss:0.02491876714552442 [ Info: [33] train-mlogloss:0.02466120079159737 [ Info: [34] train-mlogloss:0.02442297078048189 [ Info: [35] train-mlogloss:0.02435942413285375 [ Info: [36] train-mlogloss:0.02429228581488133 [ Info: [37] train-mlogloss:0.02423402449116111 [ Info: [38] train-mlogloss:0.02417179998010397 [ Info: [39] train-mlogloss:0.02410941849773129 [ Info: [40] train-mlogloss:0.02404922964672248 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65444699128468831 [ Info: [2] train-mlogloss:0.42826437314351401 [ Info: [3] train-mlogloss:0.29186661203702291 [ Info: [4] train-mlogloss:0.20708909769852957 [ Info: [5] train-mlogloss:0.15102903644243876 [ Info: [6] train-mlogloss:0.11367757509152095 [ Info: [7] train-mlogloss:0.08784683759013812 [ Info: [8] train-mlogloss:0.06980310728152593 [ Info: [9] train-mlogloss:0.05665555953979493 [ Info: [10] train-mlogloss:0.04730187453329563 [ Info: [11] train-mlogloss:0.04156431426604589 [ Info: [12] train-mlogloss:0.03682401033739249 [ Info: [13] train-mlogloss:0.03305414769798518 [ Info: [14] train-mlogloss:0.03165331193556388 [ Info: [15] train-mlogloss:0.03037808512647947 [ Info: [16] train-mlogloss:0.02938247906665007 [ Info: [17] train-mlogloss:0.02853367970635494 [ Info: [18] train-mlogloss:0.02771660803506772 [ Info: [19] train-mlogloss:0.02698879467944304 [ Info: [20] train-mlogloss:0.02630623852213224 [ Info: [21] train-mlogloss:0.02576617034773032 [ Info: [22] train-mlogloss:0.02529656573509177 [ Info: [23] train-mlogloss:0.02490968425447742 [ Info: [24] train-mlogloss:0.02456074197466175 [ Info: [25] train-mlogloss:0.02426972915728887 [ Info: [26] train-mlogloss:0.02419148628289501 [ Info: [27] train-mlogloss:0.02412901447465022 [ Info: [28] train-mlogloss:0.02400403639922540 [ Info: [29] train-mlogloss:0.02393278445427616 [ Info: [30] train-mlogloss:0.02387129054094354 [ Info: [31] train-mlogloss:0.02381533295537035 [ Info: [32] train-mlogloss:0.02376620005195339 [ Info: [33] train-mlogloss:0.02362539344156782 [ Info: [34] train-mlogloss:0.02357154856746396 [ Info: [35] train-mlogloss:0.02352043740451336 [ Info: [36] train-mlogloss:0.02347741727406780 [ Info: [37] train-mlogloss:0.02343608589222034 [ Info: [38] train-mlogloss:0.02340068305532137 [ Info: [39] train-mlogloss:0.02336644385010004 [ Info: [40] train-mlogloss:0.02320303083087007 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56818844636281329 [ Info: [2] train-mlogloss:0.34039292852083841 [ Info: [3] train-mlogloss:0.21645387073357900 [ Info: [4] train-mlogloss:0.14589587787787120 [ Info: [5] train-mlogloss:0.10228873292605083 [ Info: [6] train-mlogloss:0.07531118894616763 [ Info: [7] train-mlogloss:0.05755843917528788 [ Info: [8] train-mlogloss:0.04596844352781772 [ Info: [9] train-mlogloss:0.03907067795594533 [ Info: [10] train-mlogloss:0.03392551474273205 [ Info: [11] train-mlogloss:0.03205892627437910 [ Info: [12] train-mlogloss:0.03059525563071171 [ Info: [13] train-mlogloss:0.02937757220119238 [ Info: [14] train-mlogloss:0.02834596782922745 [ Info: [15] train-mlogloss:0.02742651098718246 [ Info: [16] train-mlogloss:0.02655697156985601 [ Info: [17] train-mlogloss:0.02581542182713747 [ Info: [18] train-mlogloss:0.02508832894886533 [ Info: [19] train-mlogloss:0.02450242256745696 [ Info: [20] train-mlogloss:0.02405212646971146 [ Info: [21] train-mlogloss:0.02369228569169839 [ Info: [22] train-mlogloss:0.02362370400379101 [ Info: [23] train-mlogloss:0.02355916144326329 [ Info: [24] train-mlogloss:0.02350790376464526 [ Info: [25] train-mlogloss:0.02345853100220362 [ Info: [26] train-mlogloss:0.02341806755711635 [ Info: [27] train-mlogloss:0.02337877804413438 [ Info: [28] train-mlogloss:0.02334592638537288 [ Info: [29] train-mlogloss:0.02331403084720175 [ Info: [30] train-mlogloss:0.02328174645081162 [ Info: [31] train-mlogloss:0.02325341521451870 [ Info: [32] train-mlogloss:0.02322876855731010 [ Info: [33] train-mlogloss:0.02320290733128786 [ Info: [34] train-mlogloss:0.02317791696016987 [ Info: [35] train-mlogloss:0.02315410620843371 [ Info: [36] train-mlogloss:0.02313044805079699 [ Info: [37] train-mlogloss:0.02310843726620078 [ Info: [38] train-mlogloss:0.02308519798020522 [ Info: [39] train-mlogloss:0.02306355210642020 [ Info: [40] train-mlogloss:0.02304341403767467 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49166585882504782 [ Info: [2] train-mlogloss:0.27164461433887482 [ Info: [3] train-mlogloss:0.16394140024979909 [ Info: [4] train-mlogloss:0.10503483007351558 [ Info: [5] train-mlogloss:0.07246210083365440 [ Info: [6] train-mlogloss:0.05270115728179614 [ Info: [7] train-mlogloss:0.04139043430487315 [ Info: [8] train-mlogloss:0.03463134673734506 [ Info: [9] train-mlogloss:0.03114433138320843 [ Info: [10] train-mlogloss:0.02952345548818509 [ Info: [11] train-mlogloss:0.02822415060053269 [ Info: [12] train-mlogloss:0.02715181789050499 [ Info: [13] train-mlogloss:0.02604456989715497 [ Info: [14] train-mlogloss:0.02519749668737253 [ Info: [15] train-mlogloss:0.02442610236505667 [ Info: [16] train-mlogloss:0.02374750842029850 [ Info: [17] train-mlogloss:0.02363277238483230 [ Info: [18] train-mlogloss:0.02355677832538883 [ Info: [19] train-mlogloss:0.02350447574630380 [ Info: [20] train-mlogloss:0.02331847511231899 [ Info: [21] train-mlogloss:0.02325888925542434 [ Info: [22] train-mlogloss:0.02321829905112584 [ Info: [23] train-mlogloss:0.02318970424433549 [ Info: [24] train-mlogloss:0.02300185093656182 [ Info: [25] train-mlogloss:0.02296364627778530 [ Info: [26] train-mlogloss:0.02293778230746587 [ Info: [27] train-mlogloss:0.02291966419046124 [ Info: [28] train-mlogloss:0.02289494204024474 [ Info: [29] train-mlogloss:0.02287846719846130 [ Info: [30] train-mlogloss:0.02285834512983759 [ Info: [31] train-mlogloss:0.02284384042645494 [ Info: [32] train-mlogloss:0.02282684604947766 [ Info: [33] train-mlogloss:0.02281425932422280 [ Info: [34] train-mlogloss:0.02279968377202749 [ Info: [35] train-mlogloss:0.02278843329598506 [ Info: [36] train-mlogloss:0.02277564105888208 [ Info: [37] train-mlogloss:0.02276374273002148 [ Info: [38] train-mlogloss:0.02275320284068584 [ Info: [39] train-mlogloss:0.02274216330920657 [ Info: [40] train-mlogloss:0.02273328054075440 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97303526560465492 [ Info: [2] train-mlogloss:0.86681072870890297 [ Info: [3] train-mlogloss:0.77536027987798051 [ Info: [4] train-mlogloss:0.69663943131764727 [ Info: [5] train-mlogloss:0.62764670928319299 [ Info: [6] train-mlogloss:0.56755314191182460 [ Info: [7] train-mlogloss:0.51416763067245486 [ Info: [8] train-mlogloss:0.46735872109731036 [ Info: [9] train-mlogloss:0.42534413456916809 [ Info: [10] train-mlogloss:0.38722346703211469 [ Info: [11] train-mlogloss:0.35334826310475670 [ Info: [12] train-mlogloss:0.32295070528984071 [ Info: [13] train-mlogloss:0.29575181563695274 [ Info: [14] train-mlogloss:0.27139131565888724 [ Info: [15] train-mlogloss:0.24944237013657888 [ Info: [16] train-mlogloss:0.22970094978809358 [ Info: [17] train-mlogloss:0.21189393341541291 [ Info: [18] train-mlogloss:0.19576094349225362 [ Info: [19] train-mlogloss:0.18119404236475625 [ Info: [20] train-mlogloss:0.16793272455533345 [ Info: [21] train-mlogloss:0.15590444227059683 [ Info: [22] train-mlogloss:0.14505024641752243 [ Info: [23] train-mlogloss:0.13512413312991461 [ Info: [24] train-mlogloss:0.12614563783009847 [ Info: [25] train-mlogloss:0.11816421121358872 [ Info: [26] train-mlogloss:0.11091286669174830 [ Info: [27] train-mlogloss:0.10400876392920812 [ Info: [28] train-mlogloss:0.09770175437132518 [ Info: [29] train-mlogloss:0.09190271218617757 [ Info: [30] train-mlogloss:0.08659387995799382 [ Info: [31] train-mlogloss:0.08171720917026203 [ Info: [32] train-mlogloss:0.07722439651687940 [ Info: [33] train-mlogloss:0.07309748694300651 [ Info: [34] train-mlogloss:0.06927619313200314 [ Info: [35] train-mlogloss:0.06578022097547849 [ Info: [36] train-mlogloss:0.06261455754439037 [ Info: [37] train-mlogloss:0.05960300609469413 [ Info: [38] train-mlogloss:0.05687986070911089 [ Info: [39] train-mlogloss:0.05435978675882022 [ Info: [40] train-mlogloss:0.05209069386124611 [ Info: [41] train-mlogloss:0.05004980457325776 [ Info: [42] train-mlogloss:0.04820697163542112 [ Info: [43] train-mlogloss:0.04648146303991477 [ Info: [44] train-mlogloss:0.04497218462328116 [ Info: [45] train-mlogloss:0.04355674080550671 [ Info: [46] train-mlogloss:0.04222759194672108 [ Info: [47] train-mlogloss:0.04086400024592876 [ Info: [48] train-mlogloss:0.03971657114724318 [ Info: [49] train-mlogloss:0.03863353088498116 [ Info: [50] train-mlogloss:0.03752680929998557 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85693743546803791 [ Info: [2] train-mlogloss:0.68395949761072794 [ Info: [3] train-mlogloss:0.55416595141092939 [ Info: [4] train-mlogloss:0.45518071850140890 [ Info: [5] train-mlogloss:0.37706529140472411 [ Info: [6] train-mlogloss:0.31401668111483255 [ Info: [7] train-mlogloss:0.26347950895627342 [ Info: [8] train-mlogloss:0.22294985155264538 [ Info: [9] train-mlogloss:0.18979609509309134 [ Info: [10] train-mlogloss:0.16287098566691080 [ Info: [11] train-mlogloss:0.14047679543495178 [ Info: [12] train-mlogloss:0.12211715052525203 [ Info: [13] train-mlogloss:0.10702229897181192 [ Info: [14] train-mlogloss:0.09424269249041875 [ Info: [15] train-mlogloss:0.08354941040277480 [ Info: [16] train-mlogloss:0.07452955106894175 [ Info: [17] train-mlogloss:0.06692012722293536 [ Info: [18] train-mlogloss:0.06045935859282812 [ Info: [19] train-mlogloss:0.05486604576309522 [ Info: [20] train-mlogloss:0.05023431787888209 [ Info: [21] train-mlogloss:0.04656886368989945 [ Info: [22] train-mlogloss:0.04355506623784701 [ Info: [23] train-mlogloss:0.04090631266434987 [ Info: [24] train-mlogloss:0.03859013962248961 [ Info: [25] train-mlogloss:0.03633870522181193 [ Info: [26] train-mlogloss:0.03441101394593716 [ Info: [27] train-mlogloss:0.03328647308051586 [ Info: [28] train-mlogloss:0.03260112776110569 [ Info: [29] train-mlogloss:0.03192229922860861 [ Info: [30] train-mlogloss:0.03127532816181580 [ Info: [31] train-mlogloss:0.03068265980730454 [ Info: [32] train-mlogloss:0.03011083164562782 [ Info: [33] train-mlogloss:0.02963273810843627 [ Info: [34] train-mlogloss:0.02919174797832966 [ Info: [35] train-mlogloss:0.02878668078531822 [ Info: [36] train-mlogloss:0.02838813447703918 [ Info: [37] train-mlogloss:0.02801933883378903 [ Info: [38] train-mlogloss:0.02765243214865526 [ Info: [39] train-mlogloss:0.02730709717919429 [ Info: [40] train-mlogloss:0.02697627263764540 [ Info: [41] train-mlogloss:0.02664019801964362 [ Info: [42] train-mlogloss:0.02633803329120080 [ Info: [43] train-mlogloss:0.02604066024223963 [ Info: [44] train-mlogloss:0.02576794303953648 [ Info: [45] train-mlogloss:0.02551886528730393 [ Info: [46] train-mlogloss:0.02529166451344888 [ Info: [47] train-mlogloss:0.02508064519613981 [ Info: [48] train-mlogloss:0.02488551524778207 [ Info: [49] train-mlogloss:0.02470542027304570 [ Info: [50] train-mlogloss:0.02453612974534432 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75068415085474649 [ Info: [2] train-mlogloss:0.54054476340611779 [ Info: [3] train-mlogloss:0.39900970180829365 [ Info: [4] train-mlogloss:0.30195361892382305 [ Info: [5] train-mlogloss:0.23398463209470113 [ Info: [6] train-mlogloss:0.18359487911065420 [ Info: [7] train-mlogloss:0.14613681097825368 [ Info: [8] train-mlogloss:0.11840282479921976 [ Info: [9] train-mlogloss:0.09790521105130513 [ Info: [10] train-mlogloss:0.08160500586032868 [ Info: [11] train-mlogloss:0.06889135415355364 [ Info: [12] train-mlogloss:0.05906422227621078 [ Info: [13] train-mlogloss:0.05149025902152062 [ Info: [14] train-mlogloss:0.04572580091655255 [ Info: [15] train-mlogloss:0.04143396541476250 [ Info: [16] train-mlogloss:0.03797549188137055 [ Info: [17] train-mlogloss:0.03483645923435688 [ Info: [18] train-mlogloss:0.03372299119830131 [ Info: [19] train-mlogloss:0.03213611974070470 [ Info: [20] train-mlogloss:0.03130870040506124 [ Info: [21] train-mlogloss:0.03039634566754103 [ Info: [22] train-mlogloss:0.02962352594981591 [ Info: [23] train-mlogloss:0.02897786830862363 [ Info: [24] train-mlogloss:0.02840526783217986 [ Info: [25] train-mlogloss:0.02785544695953528 [ Info: [26] train-mlogloss:0.02731679450720549 [ Info: [27] train-mlogloss:0.02681098292271296 [ Info: [28] train-mlogloss:0.02633165674904982 [ Info: [29] train-mlogloss:0.02590892061591148 [ Info: [30] train-mlogloss:0.02553933112571637 [ Info: [31] train-mlogloss:0.02521204717457294 [ Info: [32] train-mlogloss:0.02491876714552442 [ Info: [33] train-mlogloss:0.02466120079159737 [ Info: [34] train-mlogloss:0.02442297078048189 [ Info: [35] train-mlogloss:0.02435942413285375 [ Info: [36] train-mlogloss:0.02429228581488133 [ Info: [37] train-mlogloss:0.02423402449116111 [ Info: [38] train-mlogloss:0.02417179998010397 [ Info: [39] train-mlogloss:0.02410941849773129 [ Info: [40] train-mlogloss:0.02404922964672248 [ Info: [41] train-mlogloss:0.02399047176043193 [ Info: [42] train-mlogloss:0.02393240999430418 [ Info: [43] train-mlogloss:0.02387266311794519 [ Info: [44] train-mlogloss:0.02381845664853851 [ Info: [45] train-mlogloss:0.02375788919627667 [ Info: [46] train-mlogloss:0.02370499690373739 [ Info: [47] train-mlogloss:0.02364770136152704 [ Info: [48] train-mlogloss:0.02359171497945984 [ Info: [49] train-mlogloss:0.02353687386338910 [ Info: [50] train-mlogloss:0.02348367709666491 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65444699128468831 [ Info: [2] train-mlogloss:0.42826437314351401 [ Info: [3] train-mlogloss:0.29186661203702291 [ Info: [4] train-mlogloss:0.20708909769852957 [ Info: [5] train-mlogloss:0.15102903644243876 [ Info: [6] train-mlogloss:0.11367757509152095 [ Info: [7] train-mlogloss:0.08784683759013812 [ Info: [8] train-mlogloss:0.06980310728152593 [ Info: [9] train-mlogloss:0.05665555953979493 [ Info: [10] train-mlogloss:0.04730187453329563 [ Info: [11] train-mlogloss:0.04156431426604589 [ Info: [12] train-mlogloss:0.03682401033739249 [ Info: [13] train-mlogloss:0.03305414769798518 [ Info: [14] train-mlogloss:0.03165331193556388 [ Info: [15] train-mlogloss:0.03037808512647947 [ Info: [16] train-mlogloss:0.02938247906665007 [ Info: [17] train-mlogloss:0.02853367970635494 [ Info: [18] train-mlogloss:0.02771660803506772 [ Info: [19] train-mlogloss:0.02698879467944304 [ Info: [20] train-mlogloss:0.02630623852213224 [ Info: [21] train-mlogloss:0.02576617034773032 [ Info: [22] train-mlogloss:0.02529656573509177 [ Info: [23] train-mlogloss:0.02490968425447742 [ Info: [24] train-mlogloss:0.02456074197466175 [ Info: [25] train-mlogloss:0.02426972915728887 [ Info: [26] train-mlogloss:0.02419148628289501 [ Info: [27] train-mlogloss:0.02412901447465022 [ Info: [28] train-mlogloss:0.02400403639922540 [ Info: [29] train-mlogloss:0.02393278445427616 [ Info: [30] train-mlogloss:0.02387129054094354 [ Info: [31] train-mlogloss:0.02381533295537035 [ Info: [32] train-mlogloss:0.02376620005195339 [ Info: [33] train-mlogloss:0.02362539344156782 [ Info: [34] train-mlogloss:0.02357154856746396 [ Info: [35] train-mlogloss:0.02352043740451336 [ Info: [36] train-mlogloss:0.02347741727406780 [ Info: [37] train-mlogloss:0.02343608589222034 [ Info: [38] train-mlogloss:0.02340068305532137 [ Info: [39] train-mlogloss:0.02336644385010004 [ Info: [40] train-mlogloss:0.02320303083087007 [ Info: [41] train-mlogloss:0.02316452031955123 [ Info: [42] train-mlogloss:0.02312863218287627 [ Info: [43] train-mlogloss:0.02309762279813488 [ Info: [44] train-mlogloss:0.02307209914550185 [ Info: [45] train-mlogloss:0.02305029174312949 [ Info: [46] train-mlogloss:0.02302520311747988 [ Info: [47] train-mlogloss:0.02300206548223893 [ Info: [48] train-mlogloss:0.02298092444116871 [ Info: [49] train-mlogloss:0.02295770371953646 [ Info: [50] train-mlogloss:0.02293676195045312 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56818844636281329 [ Info: [2] train-mlogloss:0.34039292852083841 [ Info: [3] train-mlogloss:0.21645387073357900 [ Info: [4] train-mlogloss:0.14589587787787120 [ Info: [5] train-mlogloss:0.10228873292605083 [ Info: [6] train-mlogloss:0.07531118894616763 [ Info: [7] train-mlogloss:0.05755843917528788 [ Info: [8] train-mlogloss:0.04596844352781772 [ Info: [9] train-mlogloss:0.03907067795594533 [ Info: [10] train-mlogloss:0.03392551474273205 [ Info: [11] train-mlogloss:0.03205892627437910 [ Info: [12] train-mlogloss:0.03059525563071171 [ Info: [13] train-mlogloss:0.02937757220119238 [ Info: [14] train-mlogloss:0.02834596782922745 [ Info: [15] train-mlogloss:0.02742651098718246 [ Info: [16] train-mlogloss:0.02655697156985601 [ Info: [17] train-mlogloss:0.02581542182713747 [ Info: [18] train-mlogloss:0.02508832894886533 [ Info: [19] train-mlogloss:0.02450242256745696 [ Info: [20] train-mlogloss:0.02405212646971146 [ Info: [21] train-mlogloss:0.02369228569169839 [ Info: [22] train-mlogloss:0.02362370400379101 [ Info: [23] train-mlogloss:0.02355916144326329 [ Info: [24] train-mlogloss:0.02350790376464526 [ Info: [25] train-mlogloss:0.02345853100220362 [ Info: [26] train-mlogloss:0.02341806755711635 [ Info: [27] train-mlogloss:0.02337877804413438 [ Info: [28] train-mlogloss:0.02334592638537288 [ Info: [29] train-mlogloss:0.02331403084720175 [ Info: [30] train-mlogloss:0.02328174645081162 [ Info: [31] train-mlogloss:0.02325341521451870 [ Info: [32] train-mlogloss:0.02322876855731010 [ Info: [33] train-mlogloss:0.02320290733128786 [ Info: [34] train-mlogloss:0.02317791696016987 [ Info: [35] train-mlogloss:0.02315410620843371 [ Info: [36] train-mlogloss:0.02313044805079699 [ Info: [37] train-mlogloss:0.02310843726620078 [ Info: [38] train-mlogloss:0.02308519798020522 [ Info: [39] train-mlogloss:0.02306355210642020 [ Info: [40] train-mlogloss:0.02304341403767467 [ Info: [41] train-mlogloss:0.02302127661804358 [ Info: [42] train-mlogloss:0.02300198153282205 [ Info: [43] train-mlogloss:0.02298137239490946 [ Info: [44] train-mlogloss:0.02296233632291357 [ Info: [45] train-mlogloss:0.02294483431925376 [ Info: [46] train-mlogloss:0.02292861076692740 [ Info: [47] train-mlogloss:0.02291305588558316 [ Info: [48] train-mlogloss:0.02289913372447093 [ Info: [49] train-mlogloss:0.02288563505435983 [ Info: [50] train-mlogloss:0.02287369411438703 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49166585882504782 [ Info: [2] train-mlogloss:0.27164461433887482 [ Info: [3] train-mlogloss:0.16394140024979909 [ Info: [4] train-mlogloss:0.10503483007351558 [ Info: [5] train-mlogloss:0.07246210083365440 [ Info: [6] train-mlogloss:0.05270115728179614 [ Info: [7] train-mlogloss:0.04139043430487315 [ Info: [8] train-mlogloss:0.03463134673734506 [ Info: [9] train-mlogloss:0.03114433138320843 [ Info: [10] train-mlogloss:0.02952345548818509 [ Info: [11] train-mlogloss:0.02822415060053269 [ Info: [12] train-mlogloss:0.02715181789050499 [ Info: [13] train-mlogloss:0.02604456989715497 [ Info: [14] train-mlogloss:0.02519749668737253 [ Info: [15] train-mlogloss:0.02442610236505667 [ Info: [16] train-mlogloss:0.02374750842029850 [ Info: [17] train-mlogloss:0.02363277238483230 [ Info: [18] train-mlogloss:0.02355677832538883 [ Info: [19] train-mlogloss:0.02350447574630380 [ Info: [20] train-mlogloss:0.02331847511231899 [ Info: [21] train-mlogloss:0.02325888925542434 [ Info: [22] train-mlogloss:0.02321829905112584 [ Info: [23] train-mlogloss:0.02318970424433549 [ Info: [24] train-mlogloss:0.02300185093656182 [ Info: [25] train-mlogloss:0.02296364627778530 [ Info: [26] train-mlogloss:0.02293778230746587 [ Info: [27] train-mlogloss:0.02291966419046124 [ Info: [28] train-mlogloss:0.02289494204024474 [ Info: [29] train-mlogloss:0.02287846719846130 [ Info: [30] train-mlogloss:0.02285834512983759 [ Info: [31] train-mlogloss:0.02284384042645494 [ Info: [32] train-mlogloss:0.02282684604947766 [ Info: [33] train-mlogloss:0.02281425932422280 [ Info: [34] train-mlogloss:0.02279968377202749 [ Info: [35] train-mlogloss:0.02278843329598506 [ Info: [36] train-mlogloss:0.02277564105888208 [ Info: [37] train-mlogloss:0.02276374273002148 [ Info: [38] train-mlogloss:0.02275320284068584 [ Info: [39] train-mlogloss:0.02274216330920657 [ Info: [40] train-mlogloss:0.02273328054075440 [ Info: [41] train-mlogloss:0.02272194092472394 [ Info: [42] train-mlogloss:0.02271344408392906 [ Info: [43] train-mlogloss:0.02270329097285867 [ Info: [44] train-mlogloss:0.02269470674296220 [ Info: [45] train-mlogloss:0.02268546184524894 [ Info: [46] train-mlogloss:0.02267697796846430 [ Info: [47] train-mlogloss:0.02266823853055636 [ Info: [48] train-mlogloss:0.02266079992055893 [ Info: [49] train-mlogloss:0.02265138981863856 [ Info: [50] train-mlogloss:0.02264391314238310 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96879193226496374 [ Info: [2] train-mlogloss:0.85926632404327397 [ Info: [3] train-mlogloss:0.76571468194325765 [ Info: [4] train-mlogloss:0.68504688342412312 [ Info: [5] train-mlogloss:0.61496503114700318 [ Info: [6] train-mlogloss:0.55365660111109416 [ Info: [7] train-mlogloss:0.49963099598884581 [ Info: [8] train-mlogloss:0.45192609071731565 [ Info: [9] train-mlogloss:0.40964857737223309 [ Info: [10] train-mlogloss:0.37206364830334981 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84878283659617104 [ Info: [2] train-mlogloss:0.67176181077957153 [ Info: [3] train-mlogloss:0.54034305493036905 [ Info: [4] train-mlogloss:0.43960631450017296 [ Info: [5] train-mlogloss:0.36107141176859536 [ Info: [6] train-mlogloss:0.29899367411931355 [ Info: [7] train-mlogloss:0.24899398565292358 [ Info: [8] train-mlogloss:0.20877545376618703 [ Info: [9] train-mlogloss:0.17607750097910563 [ Info: [10] train-mlogloss:0.14971008102099101 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73896621704101562 [ Info: [2] train-mlogloss:0.52566850026448564 [ Info: [3] train-mlogloss:0.38553237756093345 [ Info: [4] train-mlogloss:0.28897526303927101 [ Info: [5] train-mlogloss:0.21985278348128001 [ Info: [6] train-mlogloss:0.16976977686087291 [ Info: [7] train-mlogloss:0.13298162778218586 [ Info: [8] train-mlogloss:0.10572720209757487 [ Info: [9] train-mlogloss:0.08517494320869445 [ Info: [10] train-mlogloss:0.06980766807993254 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63952082475026450 [ Info: [2] train-mlogloss:0.41218164881070457 [ Info: [3] train-mlogloss:0.27697934349377951 [ Info: [4] train-mlogloss:0.19314497033754985 [ Info: [5] train-mlogloss:0.13836904525756835 [ Info: [6] train-mlogloss:0.10138690908749898 [ Info: [7] train-mlogloss:0.07648843154311180 [ Info: [8] train-mlogloss:0.05916112010677656 [ Info: [9] train-mlogloss:0.04723124076922735 [ Info: [10] train-mlogloss:0.03853457810978095 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55040841658910111 [ Info: [2] train-mlogloss:0.32288256247838337 [ Info: [3] train-mlogloss:0.20179963191350300 [ Info: [4] train-mlogloss:0.13171772778034210 [ Info: [5] train-mlogloss:0.08982632388671240 [ Info: [6] train-mlogloss:0.06405786166588466 [ Info: [7] train-mlogloss:0.04771741002798081 [ Info: [8] train-mlogloss:0.03710861725111803 [ Info: [9] train-mlogloss:0.03084428643186887 [ Info: [10] train-mlogloss:0.02674837514758110 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47137673179308576 [ Info: [2] train-mlogloss:0.25386491099993386 [ Info: [3] train-mlogloss:0.14807274699211120 [ Info: [4] train-mlogloss:0.09205723037322362 [ Info: [5] train-mlogloss:0.06066482971111933 [ Info: [6] train-mlogloss:0.04295153722167015 [ Info: [7] train-mlogloss:0.03270762388904890 [ Info: [8] train-mlogloss:0.02738599337637425 [ Info: [9] train-mlogloss:0.02516936187942823 [ Info: [10] train-mlogloss:0.02333763668934504 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96879193226496374 [ Info: [2] train-mlogloss:0.85926632404327397 [ Info: [3] train-mlogloss:0.76571468194325765 [ Info: [4] train-mlogloss:0.68504688342412312 [ Info: [5] train-mlogloss:0.61496503114700318 [ Info: [6] train-mlogloss:0.55365660111109416 [ Info: [7] train-mlogloss:0.49963099598884581 [ Info: [8] train-mlogloss:0.45192609071731565 [ Info: [9] train-mlogloss:0.40964857737223309 [ Info: [10] train-mlogloss:0.37206364830334981 [ Info: [11] train-mlogloss:0.33855913162231444 [ Info: [12] train-mlogloss:0.30862060228983562 [ Info: [13] train-mlogloss:0.28159156441688538 [ Info: [14] train-mlogloss:0.25754711151123044 [ Info: [15] train-mlogloss:0.23593886335690817 [ Info: [16] train-mlogloss:0.21633407890796660 [ Info: [17] train-mlogloss:0.19859516104062400 [ Info: [18] train-mlogloss:0.18263532618681591 [ Info: [19] train-mlogloss:0.16814254959424338 [ Info: [20] train-mlogloss:0.15508728961149851 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84878283659617104 [ Info: [2] train-mlogloss:0.67176181077957153 [ Info: [3] train-mlogloss:0.54034305493036905 [ Info: [4] train-mlogloss:0.43960631450017296 [ Info: [5] train-mlogloss:0.36107141176859536 [ Info: [6] train-mlogloss:0.29899367411931355 [ Info: [7] train-mlogloss:0.24899398565292358 [ Info: [8] train-mlogloss:0.20877545376618703 [ Info: [9] train-mlogloss:0.17607750097910563 [ Info: [10] train-mlogloss:0.14971008102099101 [ Info: [11] train-mlogloss:0.12797178884347279 [ Info: [12] train-mlogloss:0.10989536503950754 [ Info: [13] train-mlogloss:0.09505784730116526 [ Info: [14] train-mlogloss:0.08276328305403391 [ Info: [15] train-mlogloss:0.07247583861152330 [ Info: [16] train-mlogloss:0.06388187934954961 [ Info: [17] train-mlogloss:0.05683120747407278 [ Info: [18] train-mlogloss:0.05073901742696762 [ Info: [19] train-mlogloss:0.04585277527570725 [ Info: [20] train-mlogloss:0.04149290442466736 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73896621704101562 [ Info: [2] train-mlogloss:0.52566850026448564 [ Info: [3] train-mlogloss:0.38553237756093345 [ Info: [4] train-mlogloss:0.28897526303927101 [ Info: [5] train-mlogloss:0.21985278348128001 [ Info: [6] train-mlogloss:0.16976977686087291 [ Info: [7] train-mlogloss:0.13298162778218586 [ Info: [8] train-mlogloss:0.10572720209757487 [ Info: [9] train-mlogloss:0.08517494320869445 [ Info: [10] train-mlogloss:0.06980766807993254 [ Info: [11] train-mlogloss:0.05786875938375791 [ Info: [12] train-mlogloss:0.04900485406319300 [ Info: [13] train-mlogloss:0.04191546094914277 [ Info: [14] train-mlogloss:0.03644473597407341 [ Info: [15] train-mlogloss:0.03270245323578517 [ Info: [16] train-mlogloss:0.02993033970395724 [ Info: [17] train-mlogloss:0.02746080535153548 [ Info: [18] train-mlogloss:0.02634198434650898 [ Info: [19] train-mlogloss:0.02537704914808273 [ Info: [20] train-mlogloss:0.02482747976978620 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63952082475026450 [ Info: [2] train-mlogloss:0.41218164881070457 [ Info: [3] train-mlogloss:0.27697934349377951 [ Info: [4] train-mlogloss:0.19314497033754985 [ Info: [5] train-mlogloss:0.13836904525756835 [ Info: [6] train-mlogloss:0.10138690908749898 [ Info: [7] train-mlogloss:0.07648843154311180 [ Info: [8] train-mlogloss:0.05916112010677656 [ Info: [9] train-mlogloss:0.04723124076922735 [ Info: [10] train-mlogloss:0.03853457810978095 [ Info: [11] train-mlogloss:0.03261648456255595 [ Info: [12] train-mlogloss:0.02892947946985563 [ Info: [13] train-mlogloss:0.02597965468962987 [ Info: [14] train-mlogloss:0.02462771127621333 [ Info: [15] train-mlogloss:0.02345511997739474 [ Info: [16] train-mlogloss:0.02301524075369040 [ Info: [17] train-mlogloss:0.02261998643477758 [ Info: [18] train-mlogloss:0.02227196892102560 [ Info: [19] train-mlogloss:0.02196355408678452 [ Info: [20] train-mlogloss:0.02186791025102139 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55040841658910111 [ Info: [2] train-mlogloss:0.32288256247838337 [ Info: [3] train-mlogloss:0.20179963191350300 [ Info: [4] train-mlogloss:0.13171772778034210 [ Info: [5] train-mlogloss:0.08982632388671240 [ Info: [6] train-mlogloss:0.06405786166588466 [ Info: [7] train-mlogloss:0.04771741002798081 [ Info: [8] train-mlogloss:0.03710861725111803 [ Info: [9] train-mlogloss:0.03084428643186887 [ Info: [10] train-mlogloss:0.02674837514758110 [ Info: [11] train-mlogloss:0.02499268626173337 [ Info: [12] train-mlogloss:0.02345246471464634 [ Info: [13] train-mlogloss:0.02288329782585303 [ Info: [14] train-mlogloss:0.02240867269535859 [ Info: [15] train-mlogloss:0.02200728251288335 [ Info: [16] train-mlogloss:0.02166380252689123 [ Info: [17] train-mlogloss:0.02158254779875278 [ Info: [18] train-mlogloss:0.02152000747621059 [ Info: [19] train-mlogloss:0.02122523877769709 [ Info: [20] train-mlogloss:0.02117233109970888 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47137673179308576 [ Info: [2] train-mlogloss:0.25386491099993386 [ Info: [3] train-mlogloss:0.14807274699211120 [ Info: [4] train-mlogloss:0.09205723037322362 [ Info: [5] train-mlogloss:0.06066482971111933 [ Info: [6] train-mlogloss:0.04295153722167015 [ Info: [7] train-mlogloss:0.03270762388904890 [ Info: [8] train-mlogloss:0.02738599337637425 [ Info: [9] train-mlogloss:0.02516936187942823 [ Info: [10] train-mlogloss:0.02333763668934504 [ Info: [11] train-mlogloss:0.02266778178513050 [ Info: [12] train-mlogloss:0.02212460502982140 [ Info: [13] train-mlogloss:0.02167561163504918 [ Info: [14] train-mlogloss:0.02129868791749080 [ Info: [15] train-mlogloss:0.02119122205923001 [ Info: [16] train-mlogloss:0.02111266724765301 [ Info: [17] train-mlogloss:0.02105525170763334 [ Info: [18] train-mlogloss:0.02099810294806957 [ Info: [19] train-mlogloss:0.02095068571468194 [ Info: [20] train-mlogloss:0.02090833236773809 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96879193226496374 [ Info: [2] train-mlogloss:0.85926632404327397 [ Info: [3] train-mlogloss:0.76571468194325765 [ Info: [4] train-mlogloss:0.68504688342412312 [ Info: [5] train-mlogloss:0.61496503114700318 [ Info: [6] train-mlogloss:0.55365660111109416 [ Info: [7] train-mlogloss:0.49963099598884581 [ Info: [8] train-mlogloss:0.45192609071731565 [ Info: [9] train-mlogloss:0.40964857737223309 [ Info: [10] train-mlogloss:0.37206364830334981 [ Info: [11] train-mlogloss:0.33855913162231444 [ Info: [12] train-mlogloss:0.30862060228983562 [ Info: [13] train-mlogloss:0.28159156441688538 [ Info: [14] train-mlogloss:0.25754711151123044 [ Info: [15] train-mlogloss:0.23593886335690817 [ Info: [16] train-mlogloss:0.21633407890796660 [ Info: [17] train-mlogloss:0.19859516104062400 [ Info: [18] train-mlogloss:0.18263532618681591 [ Info: [19] train-mlogloss:0.16814254959424338 [ Info: [20] train-mlogloss:0.15508728961149851 [ Info: [21] train-mlogloss:0.14316918402910234 [ Info: [22] train-mlogloss:0.13247786323229471 [ Info: [23] train-mlogloss:0.12270393192768098 [ Info: [24] train-mlogloss:0.11388257006804148 [ Info: [25] train-mlogloss:0.10576788177092870 [ Info: [26] train-mlogloss:0.09845105399688085 [ Info: [27] train-mlogloss:0.09179231802622477 [ Info: [28] train-mlogloss:0.08570143570502599 [ Info: [29] train-mlogloss:0.08013937125603358 [ Info: [30] train-mlogloss:0.07504938845833142 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84878283659617104 [ Info: [2] train-mlogloss:0.67176181077957153 [ Info: [3] train-mlogloss:0.54034305493036905 [ Info: [4] train-mlogloss:0.43960631450017296 [ Info: [5] train-mlogloss:0.36107141176859536 [ Info: [6] train-mlogloss:0.29899367411931355 [ Info: [7] train-mlogloss:0.24899398565292358 [ Info: [8] train-mlogloss:0.20877545376618703 [ Info: [9] train-mlogloss:0.17607750097910563 [ Info: [10] train-mlogloss:0.14971008102099101 [ Info: [11] train-mlogloss:0.12797178884347279 [ Info: [12] train-mlogloss:0.10989536503950754 [ Info: [13] train-mlogloss:0.09505784730116526 [ Info: [14] train-mlogloss:0.08276328305403391 [ Info: [15] train-mlogloss:0.07247583861152330 [ Info: [16] train-mlogloss:0.06388187934954961 [ Info: [17] train-mlogloss:0.05683120747407278 [ Info: [18] train-mlogloss:0.05073901742696762 [ Info: [19] train-mlogloss:0.04585277527570725 [ Info: [20] train-mlogloss:0.04149290442466736 [ Info: [21] train-mlogloss:0.03778450188537439 [ Info: [22] train-mlogloss:0.03462604386111100 [ Info: [23] train-mlogloss:0.03230837235848109 [ Info: [24] train-mlogloss:0.03045292225976785 [ Info: [25] train-mlogloss:0.02878056220710278 [ Info: [26] train-mlogloss:0.02727659704784552 [ Info: [27] train-mlogloss:0.02653007316092650 [ Info: [28] train-mlogloss:0.02581680744886398 [ Info: [29] train-mlogloss:0.02516867938141028 [ Info: [30] train-mlogloss:0.02473031585415204 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73896621704101562 [ Info: [2] train-mlogloss:0.52566850026448564 [ Info: [3] train-mlogloss:0.38553237756093345 [ Info: [4] train-mlogloss:0.28897526303927101 [ Info: [5] train-mlogloss:0.21985278348128001 [ Info: [6] train-mlogloss:0.16976977686087291 [ Info: [7] train-mlogloss:0.13298162778218586 [ Info: [8] train-mlogloss:0.10572720209757487 [ Info: [9] train-mlogloss:0.08517494320869445 [ Info: [10] train-mlogloss:0.06980766807993254 [ Info: [11] train-mlogloss:0.05786875938375791 [ Info: [12] train-mlogloss:0.04900485406319300 [ Info: [13] train-mlogloss:0.04191546094914277 [ Info: [14] train-mlogloss:0.03644473597407341 [ Info: [15] train-mlogloss:0.03270245323578517 [ Info: [16] train-mlogloss:0.02993033970395724 [ Info: [17] train-mlogloss:0.02746080535153548 [ Info: [18] train-mlogloss:0.02634198434650898 [ Info: [19] train-mlogloss:0.02537704914808273 [ Info: [20] train-mlogloss:0.02482747976978620 [ Info: [21] train-mlogloss:0.02448498186965783 [ Info: [22] train-mlogloss:0.02417616796990235 [ Info: [23] train-mlogloss:0.02389653615653515 [ Info: [24] train-mlogloss:0.02364243134856224 [ Info: [25] train-mlogloss:0.02341065728416045 [ Info: [26] train-mlogloss:0.02319743954886993 [ Info: [27] train-mlogloss:0.02300053027768930 [ Info: [28] train-mlogloss:0.02281720290581385 [ Info: [29] train-mlogloss:0.02275780629366636 [ Info: [30] train-mlogloss:0.02270518997063239 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63952082475026450 [ Info: [2] train-mlogloss:0.41218164881070457 [ Info: [3] train-mlogloss:0.27697934349377951 [ Info: [4] train-mlogloss:0.19314497033754985 [ Info: [5] train-mlogloss:0.13836904525756835 [ Info: [6] train-mlogloss:0.10138690908749898 [ Info: [7] train-mlogloss:0.07648843154311180 [ Info: [8] train-mlogloss:0.05916112010677656 [ Info: [9] train-mlogloss:0.04723124076922735 [ Info: [10] train-mlogloss:0.03853457810978095 [ Info: [11] train-mlogloss:0.03261648456255595 [ Info: [12] train-mlogloss:0.02892947946985563 [ Info: [13] train-mlogloss:0.02597965468962987 [ Info: [14] train-mlogloss:0.02462771127621333 [ Info: [15] train-mlogloss:0.02345511997739474 [ Info: [16] train-mlogloss:0.02301524075369040 [ Info: [17] train-mlogloss:0.02261998643477758 [ Info: [18] train-mlogloss:0.02227196892102560 [ Info: [19] train-mlogloss:0.02196355408678452 [ Info: [20] train-mlogloss:0.02186791025102139 [ Info: [21] train-mlogloss:0.02179035507142544 [ Info: [22] train-mlogloss:0.02152608842899402 [ Info: [23] train-mlogloss:0.02146484597275655 [ Info: [24] train-mlogloss:0.02141465152303378 [ Info: [25] train-mlogloss:0.02137194498131673 [ Info: [26] train-mlogloss:0.02133696516354879 [ Info: [27] train-mlogloss:0.02130704879760742 [ Info: [28] train-mlogloss:0.02128244816015164 [ Info: [29] train-mlogloss:0.02125750408818325 [ Info: [30] train-mlogloss:0.02123480257888635 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55040841658910111 [ Info: [2] train-mlogloss:0.32288256247838337 [ Info: [3] train-mlogloss:0.20179963191350300 [ Info: [4] train-mlogloss:0.13171772778034210 [ Info: [5] train-mlogloss:0.08982632388671240 [ Info: [6] train-mlogloss:0.06405786166588466 [ Info: [7] train-mlogloss:0.04771741002798081 [ Info: [8] train-mlogloss:0.03710861725111803 [ Info: [9] train-mlogloss:0.03084428643186887 [ Info: [10] train-mlogloss:0.02674837514758110 [ Info: [11] train-mlogloss:0.02499268626173337 [ Info: [12] train-mlogloss:0.02345246471464634 [ Info: [13] train-mlogloss:0.02288329782585303 [ Info: [14] train-mlogloss:0.02240867269535859 [ Info: [15] train-mlogloss:0.02200728251288335 [ Info: [16] train-mlogloss:0.02166380252689123 [ Info: [17] train-mlogloss:0.02158254779875278 [ Info: [18] train-mlogloss:0.02152000747621059 [ Info: [19] train-mlogloss:0.02122523877769709 [ Info: [20] train-mlogloss:0.02117233109970888 [ Info: [21] train-mlogloss:0.02112941369414329 [ Info: [22] train-mlogloss:0.02109381967534622 [ Info: [23] train-mlogloss:0.02105503190308809 [ Info: [24] train-mlogloss:0.02102493910739819 [ Info: [25] train-mlogloss:0.02099121922006210 [ Info: [26] train-mlogloss:0.02096312813460827 [ Info: [27] train-mlogloss:0.02093458997706572 [ Info: [28] train-mlogloss:0.02090844566623370 [ Info: [29] train-mlogloss:0.02088431545843681 [ Info: [30] train-mlogloss:0.02085896537949642 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47137673179308576 [ Info: [2] train-mlogloss:0.25386491099993386 [ Info: [3] train-mlogloss:0.14807274699211120 [ Info: [4] train-mlogloss:0.09205723037322362 [ Info: [5] train-mlogloss:0.06066482971111933 [ Info: [6] train-mlogloss:0.04295153722167015 [ Info: [7] train-mlogloss:0.03270762388904890 [ Info: [8] train-mlogloss:0.02738599337637425 [ Info: [9] train-mlogloss:0.02516936187942823 [ Info: [10] train-mlogloss:0.02333763668934504 [ Info: [11] train-mlogloss:0.02266778178513050 [ Info: [12] train-mlogloss:0.02212460502982140 [ Info: [13] train-mlogloss:0.02167561163504918 [ Info: [14] train-mlogloss:0.02129868791749080 [ Info: [15] train-mlogloss:0.02119122205923001 [ Info: [16] train-mlogloss:0.02111266724765301 [ Info: [17] train-mlogloss:0.02105525170763334 [ Info: [18] train-mlogloss:0.02099810294806957 [ Info: [19] train-mlogloss:0.02095068571468194 [ Info: [20] train-mlogloss:0.02090833236773809 [ Info: [21] train-mlogloss:0.02086369134485722 [ Info: [22] train-mlogloss:0.02082713515808185 [ Info: [23] train-mlogloss:0.02078737662484248 [ Info: [24] train-mlogloss:0.02075469163556894 [ Info: [25] train-mlogloss:0.02072143928458293 [ Info: [26] train-mlogloss:0.02069343050320943 [ Info: [27] train-mlogloss:0.02066349308316906 [ Info: [28] train-mlogloss:0.02063773478070895 [ Info: [29] train-mlogloss:0.02061120197797815 [ Info: [30] train-mlogloss:0.02058755544324716 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96879193226496374 [ Info: [2] train-mlogloss:0.85926632404327397 [ Info: [3] train-mlogloss:0.76571468194325765 [ Info: [4] train-mlogloss:0.68504688342412312 [ Info: [5] train-mlogloss:0.61496503114700318 [ Info: [6] train-mlogloss:0.55365660111109416 [ Info: [7] train-mlogloss:0.49963099598884581 [ Info: [8] train-mlogloss:0.45192609071731565 [ Info: [9] train-mlogloss:0.40964857737223309 [ Info: [10] train-mlogloss:0.37206364830334981 [ Info: [11] train-mlogloss:0.33855913162231444 [ Info: [12] train-mlogloss:0.30862060228983562 [ Info: [13] train-mlogloss:0.28159156441688538 [ Info: [14] train-mlogloss:0.25754711151123044 [ Info: [15] train-mlogloss:0.23593886335690817 [ Info: [16] train-mlogloss:0.21633407890796660 [ Info: [17] train-mlogloss:0.19859516104062400 [ Info: [18] train-mlogloss:0.18263532618681591 [ Info: [19] train-mlogloss:0.16814254959424338 [ Info: [20] train-mlogloss:0.15508728961149851 [ Info: [21] train-mlogloss:0.14316918402910234 [ Info: [22] train-mlogloss:0.13247786323229471 [ Info: [23] train-mlogloss:0.12270393192768098 [ Info: [24] train-mlogloss:0.11388257006804148 [ Info: [25] train-mlogloss:0.10576788177092870 [ Info: [26] train-mlogloss:0.09845105399688085 [ Info: [27] train-mlogloss:0.09179231802622477 [ Info: [28] train-mlogloss:0.08570143570502599 [ Info: [29] train-mlogloss:0.08013937125603358 [ Info: [30] train-mlogloss:0.07504938845833142 [ Info: [31] train-mlogloss:0.07040339291095733 [ Info: [32] train-mlogloss:0.06614443485935530 [ Info: [33] train-mlogloss:0.06225167180101077 [ Info: [34] train-mlogloss:0.05875017667810122 [ Info: [35] train-mlogloss:0.05546054994066556 [ Info: [36] train-mlogloss:0.05249484871824583 [ Info: [37] train-mlogloss:0.04970795929431916 [ Info: [38] train-mlogloss:0.04727299834291140 [ Info: [39] train-mlogloss:0.04492992818355560 [ Info: [40] train-mlogloss:0.04284481609861056 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84878283659617104 [ Info: [2] train-mlogloss:0.67176181077957153 [ Info: [3] train-mlogloss:0.54034305493036905 [ Info: [4] train-mlogloss:0.43960631450017296 [ Info: [5] train-mlogloss:0.36107141176859536 [ Info: [6] train-mlogloss:0.29899367411931355 [ Info: [7] train-mlogloss:0.24899398565292358 [ Info: [8] train-mlogloss:0.20877545376618703 [ Info: [9] train-mlogloss:0.17607750097910563 [ Info: [10] train-mlogloss:0.14971008102099101 [ Info: [11] train-mlogloss:0.12797178884347279 [ Info: [12] train-mlogloss:0.10989536503950754 [ Info: [13] train-mlogloss:0.09505784730116526 [ Info: [14] train-mlogloss:0.08276328305403391 [ Info: [15] train-mlogloss:0.07247583861152330 [ Info: [16] train-mlogloss:0.06388187934954961 [ Info: [17] train-mlogloss:0.05683120747407278 [ Info: [18] train-mlogloss:0.05073901742696762 [ Info: [19] train-mlogloss:0.04585277527570725 [ Info: [20] train-mlogloss:0.04149290442466736 [ Info: [21] train-mlogloss:0.03778450188537439 [ Info: [22] train-mlogloss:0.03462604386111100 [ Info: [23] train-mlogloss:0.03230837235848109 [ Info: [24] train-mlogloss:0.03045292225976785 [ Info: [25] train-mlogloss:0.02878056220710278 [ Info: [26] train-mlogloss:0.02727659704784552 [ Info: [27] train-mlogloss:0.02653007316092650 [ Info: [28] train-mlogloss:0.02581680744886398 [ Info: [29] train-mlogloss:0.02516867938141028 [ Info: [30] train-mlogloss:0.02473031585415204 [ Info: [31] train-mlogloss:0.02435527493556340 [ Info: [32] train-mlogloss:0.02402834904690583 [ Info: [33] train-mlogloss:0.02379559693237146 [ Info: [34] train-mlogloss:0.02357894784460465 [ Info: [35] train-mlogloss:0.02337673561026653 [ Info: [36] train-mlogloss:0.02318778047959010 [ Info: [37] train-mlogloss:0.02301080110172431 [ Info: [38] train-mlogloss:0.02284477639943361 [ Info: [39] train-mlogloss:0.02268891009191672 [ Info: [40] train-mlogloss:0.02254219667365154 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73896621704101562 [ Info: [2] train-mlogloss:0.52566850026448564 [ Info: [3] train-mlogloss:0.38553237756093345 [ Info: [4] train-mlogloss:0.28897526303927101 [ Info: [5] train-mlogloss:0.21985278348128001 [ Info: [6] train-mlogloss:0.16976977686087291 [ Info: [7] train-mlogloss:0.13298162778218586 [ Info: [8] train-mlogloss:0.10572720209757487 [ Info: [9] train-mlogloss:0.08517494320869445 [ Info: [10] train-mlogloss:0.06980766807993254 [ Info: [11] train-mlogloss:0.05786875938375791 [ Info: [12] train-mlogloss:0.04900485406319300 [ Info: [13] train-mlogloss:0.04191546094914277 [ Info: [14] train-mlogloss:0.03644473597407341 [ Info: [15] train-mlogloss:0.03270245323578517 [ Info: [16] train-mlogloss:0.02993033970395724 [ Info: [17] train-mlogloss:0.02746080535153548 [ Info: [18] train-mlogloss:0.02634198434650898 [ Info: [19] train-mlogloss:0.02537704914808273 [ Info: [20] train-mlogloss:0.02482747976978620 [ Info: [21] train-mlogloss:0.02448498186965783 [ Info: [22] train-mlogloss:0.02417616796990235 [ Info: [23] train-mlogloss:0.02389653615653515 [ Info: [24] train-mlogloss:0.02364243134856224 [ Info: [25] train-mlogloss:0.02341065728416045 [ Info: [26] train-mlogloss:0.02319743954886993 [ Info: [27] train-mlogloss:0.02300053027768930 [ Info: [28] train-mlogloss:0.02281720290581385 [ Info: [29] train-mlogloss:0.02275780629366636 [ Info: [30] train-mlogloss:0.02270518997063239 [ Info: [31] train-mlogloss:0.02265951808542013 [ Info: [32] train-mlogloss:0.02261766355484724 [ Info: [33] train-mlogloss:0.02257601124544938 [ Info: [34] train-mlogloss:0.02253897850712141 [ Info: [35] train-mlogloss:0.02250159007807573 [ Info: [36] train-mlogloss:0.02246743369847536 [ Info: [37] train-mlogloss:0.02243798454602559 [ Info: [38] train-mlogloss:0.02241189456234376 [ Info: [39] train-mlogloss:0.02238937210291624 [ Info: [40] train-mlogloss:0.02236930754035711 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63952082475026450 [ Info: [2] train-mlogloss:0.41218164881070457 [ Info: [3] train-mlogloss:0.27697934349377951 [ Info: [4] train-mlogloss:0.19314497033754985 [ Info: [5] train-mlogloss:0.13836904525756835 [ Info: [6] train-mlogloss:0.10138690908749898 [ Info: [7] train-mlogloss:0.07648843154311180 [ Info: [8] train-mlogloss:0.05916112010677656 [ Info: [9] train-mlogloss:0.04723124076922735 [ Info: [10] train-mlogloss:0.03853457810978095 [ Info: [11] train-mlogloss:0.03261648456255595 [ Info: [12] train-mlogloss:0.02892947946985563 [ Info: [13] train-mlogloss:0.02597965468962987 [ Info: [14] train-mlogloss:0.02462771127621333 [ Info: [15] train-mlogloss:0.02345511997739474 [ Info: [16] train-mlogloss:0.02301524075369040 [ Info: [17] train-mlogloss:0.02261998643477758 [ Info: [18] train-mlogloss:0.02227196892102560 [ Info: [19] train-mlogloss:0.02196355408678452 [ Info: [20] train-mlogloss:0.02186791025102139 [ Info: [21] train-mlogloss:0.02179035507142544 [ Info: [22] train-mlogloss:0.02152608842899402 [ Info: [23] train-mlogloss:0.02146484597275655 [ Info: [24] train-mlogloss:0.02141465152303378 [ Info: [25] train-mlogloss:0.02137194498131673 [ Info: [26] train-mlogloss:0.02133696516354879 [ Info: [27] train-mlogloss:0.02130704879760742 [ Info: [28] train-mlogloss:0.02128244816015164 [ Info: [29] train-mlogloss:0.02125750408818325 [ Info: [30] train-mlogloss:0.02123480257888635 [ Info: [31] train-mlogloss:0.02121440395712853 [ Info: [32] train-mlogloss:0.02119245747725169 [ Info: [33] train-mlogloss:0.02117429912090301 [ Info: [34] train-mlogloss:0.02115391383568446 [ Info: [35] train-mlogloss:0.02113732576370239 [ Info: [36] train-mlogloss:0.02111849634597699 [ Info: [37] train-mlogloss:0.02110315245886644 [ Info: [38] train-mlogloss:0.02108573678880930 [ Info: [39] train-mlogloss:0.02107139668116967 [ Info: [40] train-mlogloss:0.02105532662322124 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55040841658910111 [ Info: [2] train-mlogloss:0.32288256247838337 [ Info: [3] train-mlogloss:0.20179963191350300 [ Info: [4] train-mlogloss:0.13171772778034210 [ Info: [5] train-mlogloss:0.08982632388671240 [ Info: [6] train-mlogloss:0.06405786166588466 [ Info: [7] train-mlogloss:0.04771741002798081 [ Info: [8] train-mlogloss:0.03710861725111803 [ Info: [9] train-mlogloss:0.03084428643186887 [ Info: [10] train-mlogloss:0.02674837514758110 [ Info: [11] train-mlogloss:0.02499268626173337 [ Info: [12] train-mlogloss:0.02345246471464634 [ Info: [13] train-mlogloss:0.02288329782585303 [ Info: [14] train-mlogloss:0.02240867269535859 [ Info: [15] train-mlogloss:0.02200728251288335 [ Info: [16] train-mlogloss:0.02166380252689123 [ Info: [17] train-mlogloss:0.02158254779875278 [ Info: [18] train-mlogloss:0.02152000747621059 [ Info: [19] train-mlogloss:0.02122523877769709 [ Info: [20] train-mlogloss:0.02117233109970888 [ Info: [21] train-mlogloss:0.02112941369414329 [ Info: [22] train-mlogloss:0.02109381967534622 [ Info: [23] train-mlogloss:0.02105503190308809 [ Info: [24] train-mlogloss:0.02102493910739819 [ Info: [25] train-mlogloss:0.02099121922006210 [ Info: [26] train-mlogloss:0.02096312813460827 [ Info: [27] train-mlogloss:0.02093458997706572 [ Info: [28] train-mlogloss:0.02090844566623370 [ Info: [29] train-mlogloss:0.02088431545843681 [ Info: [30] train-mlogloss:0.02085896537949642 [ Info: [31] train-mlogloss:0.02083688174684842 [ Info: [32] train-mlogloss:0.02081384873638550 [ Info: [33] train-mlogloss:0.02079354980339607 [ Info: [34] train-mlogloss:0.02077270350108544 [ Info: [35] train-mlogloss:0.02075392346829176 [ Info: [36] train-mlogloss:0.02073505349457264 [ Info: [37] train-mlogloss:0.02071770258247852 [ Info: [38] train-mlogloss:0.02070052675902843 [ Info: [39] train-mlogloss:0.02068447933842739 [ Info: [40] train-mlogloss:0.02066887800892194 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47137673179308576 [ Info: [2] train-mlogloss:0.25386491099993386 [ Info: [3] train-mlogloss:0.14807274699211120 [ Info: [4] train-mlogloss:0.09205723037322362 [ Info: [5] train-mlogloss:0.06066482971111933 [ Info: [6] train-mlogloss:0.04295153722167015 [ Info: [7] train-mlogloss:0.03270762388904890 [ Info: [8] train-mlogloss:0.02738599337637425 [ Info: [9] train-mlogloss:0.02516936187942823 [ Info: [10] train-mlogloss:0.02333763668934504 [ Info: [11] train-mlogloss:0.02266778178513050 [ Info: [12] train-mlogloss:0.02212460502982140 [ Info: [13] train-mlogloss:0.02167561163504918 [ Info: [14] train-mlogloss:0.02129868791749080 [ Info: [15] train-mlogloss:0.02119122205923001 [ Info: [16] train-mlogloss:0.02111266724765301 [ Info: [17] train-mlogloss:0.02105525170763334 [ Info: [18] train-mlogloss:0.02099810294806957 [ Info: [19] train-mlogloss:0.02095068571468194 [ Info: [20] train-mlogloss:0.02090833236773809 [ Info: [21] train-mlogloss:0.02086369134485722 [ Info: [22] train-mlogloss:0.02082713515808185 [ Info: [23] train-mlogloss:0.02078737662484248 [ Info: [24] train-mlogloss:0.02075469163556894 [ Info: [25] train-mlogloss:0.02072143928458293 [ Info: [26] train-mlogloss:0.02069343050320943 [ Info: [27] train-mlogloss:0.02066349308316906 [ Info: [28] train-mlogloss:0.02063773478070895 [ Info: [29] train-mlogloss:0.02061120197797815 [ Info: [30] train-mlogloss:0.02058755544324716 [ Info: [31] train-mlogloss:0.02056454390908281 [ Info: [32] train-mlogloss:0.02054222234835227 [ Info: [33] train-mlogloss:0.02052238302926223 [ Info: [34] train-mlogloss:0.02049831295385957 [ Info: [35] train-mlogloss:0.02047973650197188 [ Info: [36] train-mlogloss:0.02046052387605111 [ Info: [37] train-mlogloss:0.02044424580410123 [ Info: [38] train-mlogloss:0.02042800602192680 [ Info: [39] train-mlogloss:0.02041375077019135 [ Info: [40] train-mlogloss:0.02039998581012090 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96879193226496374 [ Info: [2] train-mlogloss:0.85926632404327397 [ Info: [3] train-mlogloss:0.76571468194325765 [ Info: [4] train-mlogloss:0.68504688342412312 [ Info: [5] train-mlogloss:0.61496503114700318 [ Info: [6] train-mlogloss:0.55365660111109416 [ Info: [7] train-mlogloss:0.49963099598884581 [ Info: [8] train-mlogloss:0.45192609071731565 [ Info: [9] train-mlogloss:0.40964857737223309 [ Info: [10] train-mlogloss:0.37206364830334981 [ Info: [11] train-mlogloss:0.33855913162231444 [ Info: [12] train-mlogloss:0.30862060228983562 [ Info: [13] train-mlogloss:0.28159156441688538 [ Info: [14] train-mlogloss:0.25754711151123044 [ Info: [15] train-mlogloss:0.23593886335690817 [ Info: [16] train-mlogloss:0.21633407890796660 [ Info: [17] train-mlogloss:0.19859516104062400 [ Info: [18] train-mlogloss:0.18263532618681591 [ Info: [19] train-mlogloss:0.16814254959424338 [ Info: [20] train-mlogloss:0.15508728961149851 [ Info: [21] train-mlogloss:0.14316918402910234 [ Info: [22] train-mlogloss:0.13247786323229471 [ Info: [23] train-mlogloss:0.12270393192768098 [ Info: [24] train-mlogloss:0.11388257006804148 [ Info: [25] train-mlogloss:0.10576788177092870 [ Info: [26] train-mlogloss:0.09845105399688085 [ Info: [27] train-mlogloss:0.09179231802622477 [ Info: [28] train-mlogloss:0.08570143570502599 [ Info: [29] train-mlogloss:0.08013937125603358 [ Info: [30] train-mlogloss:0.07504938845833142 [ Info: [31] train-mlogloss:0.07040339291095733 [ Info: [32] train-mlogloss:0.06614443485935530 [ Info: [33] train-mlogloss:0.06225167180101077 [ Info: [34] train-mlogloss:0.05875017667810122 [ Info: [35] train-mlogloss:0.05546054994066556 [ Info: [36] train-mlogloss:0.05249484871824583 [ Info: [37] train-mlogloss:0.04970795929431916 [ Info: [38] train-mlogloss:0.04727299834291140 [ Info: [39] train-mlogloss:0.04492992818355560 [ Info: [40] train-mlogloss:0.04284481609861056 [ Info: [41] train-mlogloss:0.04085131518542767 [ Info: [42] train-mlogloss:0.03900587427119414 [ Info: [43] train-mlogloss:0.03738443024456501 [ Info: [44] train-mlogloss:0.03578574786583583 [ Info: [45] train-mlogloss:0.03454578792055448 [ Info: [46] train-mlogloss:0.03339656161765257 [ Info: [47] train-mlogloss:0.03240791509548823 [ Info: [48] train-mlogloss:0.03147212905188401 [ Info: [49] train-mlogloss:0.03053774257500966 [ Info: [50] train-mlogloss:0.02965171923240026 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84878283659617104 [ Info: [2] train-mlogloss:0.67176181077957153 [ Info: [3] train-mlogloss:0.54034305493036905 [ Info: [4] train-mlogloss:0.43960631450017296 [ Info: [5] train-mlogloss:0.36107141176859536 [ Info: [6] train-mlogloss:0.29899367411931355 [ Info: [7] train-mlogloss:0.24899398565292358 [ Info: [8] train-mlogloss:0.20877545376618703 [ Info: [9] train-mlogloss:0.17607750097910563 [ Info: [10] train-mlogloss:0.14971008102099101 [ Info: [11] train-mlogloss:0.12797178884347279 [ Info: [12] train-mlogloss:0.10989536503950754 [ Info: [13] train-mlogloss:0.09505784730116526 [ Info: [14] train-mlogloss:0.08276328305403391 [ Info: [15] train-mlogloss:0.07247583861152330 [ Info: [16] train-mlogloss:0.06388187934954961 [ Info: [17] train-mlogloss:0.05683120747407278 [ Info: [18] train-mlogloss:0.05073901742696762 [ Info: [19] train-mlogloss:0.04585277527570725 [ Info: [20] train-mlogloss:0.04149290442466736 [ Info: [21] train-mlogloss:0.03778450188537439 [ Info: [22] train-mlogloss:0.03462604386111100 [ Info: [23] train-mlogloss:0.03230837235848109 [ Info: [24] train-mlogloss:0.03045292225976785 [ Info: [25] train-mlogloss:0.02878056220710278 [ Info: [26] train-mlogloss:0.02727659704784552 [ Info: [27] train-mlogloss:0.02653007316092650 [ Info: [28] train-mlogloss:0.02581680744886398 [ Info: [29] train-mlogloss:0.02516867938141028 [ Info: [30] train-mlogloss:0.02473031585415204 [ Info: [31] train-mlogloss:0.02435527493556340 [ Info: [32] train-mlogloss:0.02402834904690583 [ Info: [33] train-mlogloss:0.02379559693237146 [ Info: [34] train-mlogloss:0.02357894784460465 [ Info: [35] train-mlogloss:0.02337673561026653 [ Info: [36] train-mlogloss:0.02318778047959010 [ Info: [37] train-mlogloss:0.02301080110172431 [ Info: [38] train-mlogloss:0.02284477639943361 [ Info: [39] train-mlogloss:0.02268891009191672 [ Info: [40] train-mlogloss:0.02254219667365154 [ Info: [41] train-mlogloss:0.02240350652486086 [ Info: [42] train-mlogloss:0.02236924993495146 [ Info: [43] train-mlogloss:0.02233771627147993 [ Info: [44] train-mlogloss:0.02230914069960515 [ Info: [45] train-mlogloss:0.02228272370994091 [ Info: [46] train-mlogloss:0.02225885188827912 [ Info: [47] train-mlogloss:0.02223673741022746 [ Info: [48] train-mlogloss:0.02210442448655764 [ Info: [49] train-mlogloss:0.02208358330031236 [ Info: [50] train-mlogloss:0.02206444354106982 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73896621704101562 [ Info: [2] train-mlogloss:0.52566850026448564 [ Info: [3] train-mlogloss:0.38553237756093345 [ Info: [4] train-mlogloss:0.28897526303927101 [ Info: [5] train-mlogloss:0.21985278348128001 [ Info: [6] train-mlogloss:0.16976977686087291 [ Info: [7] train-mlogloss:0.13298162778218586 [ Info: [8] train-mlogloss:0.10572720209757487 [ Info: [9] train-mlogloss:0.08517494320869445 [ Info: [10] train-mlogloss:0.06980766807993254 [ Info: [11] train-mlogloss:0.05786875938375791 [ Info: [12] train-mlogloss:0.04900485406319300 [ Info: [13] train-mlogloss:0.04191546094914277 [ Info: [14] train-mlogloss:0.03644473597407341 [ Info: [15] train-mlogloss:0.03270245323578517 [ Info: [16] train-mlogloss:0.02993033970395724 [ Info: [17] train-mlogloss:0.02746080535153548 [ Info: [18] train-mlogloss:0.02634198434650898 [ Info: [19] train-mlogloss:0.02537704914808273 [ Info: [20] train-mlogloss:0.02482747976978620 [ Info: [21] train-mlogloss:0.02448498186965783 [ Info: [22] train-mlogloss:0.02417616796990235 [ Info: [23] train-mlogloss:0.02389653615653515 [ Info: [24] train-mlogloss:0.02364243134856224 [ Info: [25] train-mlogloss:0.02341065728416045 [ Info: [26] train-mlogloss:0.02319743954886993 [ Info: [27] train-mlogloss:0.02300053027768930 [ Info: [28] train-mlogloss:0.02281720290581385 [ Info: [29] train-mlogloss:0.02275780629366636 [ Info: [30] train-mlogloss:0.02270518997063239 [ Info: [31] train-mlogloss:0.02265951808542013 [ Info: [32] train-mlogloss:0.02261766355484724 [ Info: [33] train-mlogloss:0.02257601124544938 [ Info: [34] train-mlogloss:0.02253897850712141 [ Info: [35] train-mlogloss:0.02250159007807573 [ Info: [36] train-mlogloss:0.02246743369847536 [ Info: [37] train-mlogloss:0.02243798454602559 [ Info: [38] train-mlogloss:0.02241189456234376 [ Info: [39] train-mlogloss:0.02238937210291624 [ Info: [40] train-mlogloss:0.02236930754035711 [ Info: [41] train-mlogloss:0.02219434265047312 [ Info: [42] train-mlogloss:0.02217489911864201 [ Info: [43] train-mlogloss:0.02215757248302301 [ Info: [44] train-mlogloss:0.02214253430565198 [ Info: [45] train-mlogloss:0.02212835578868786 [ Info: [46] train-mlogloss:0.02211406196157138 [ Info: [47] train-mlogloss:0.02210153911262751 [ Info: [48] train-mlogloss:0.02208796738336484 [ Info: [49] train-mlogloss:0.02207592448840539 [ Info: [50] train-mlogloss:0.02206363613406817 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63952082475026450 [ Info: [2] train-mlogloss:0.41218164881070457 [ Info: [3] train-mlogloss:0.27697934349377951 [ Info: [4] train-mlogloss:0.19314497033754985 [ Info: [5] train-mlogloss:0.13836904525756835 [ Info: [6] train-mlogloss:0.10138690908749898 [ Info: [7] train-mlogloss:0.07648843154311180 [ Info: [8] train-mlogloss:0.05916112010677656 [ Info: [9] train-mlogloss:0.04723124076922735 [ Info: [10] train-mlogloss:0.03853457810978095 [ Info: [11] train-mlogloss:0.03261648456255595 [ Info: [12] train-mlogloss:0.02892947946985563 [ Info: [13] train-mlogloss:0.02597965468962987 [ Info: [14] train-mlogloss:0.02462771127621333 [ Info: [15] train-mlogloss:0.02345511997739474 [ Info: [16] train-mlogloss:0.02301524075369040 [ Info: [17] train-mlogloss:0.02261998643477758 [ Info: [18] train-mlogloss:0.02227196892102560 [ Info: [19] train-mlogloss:0.02196355408678452 [ Info: [20] train-mlogloss:0.02186791025102139 [ Info: [21] train-mlogloss:0.02179035507142544 [ Info: [22] train-mlogloss:0.02152608842899402 [ Info: [23] train-mlogloss:0.02146484597275655 [ Info: [24] train-mlogloss:0.02141465152303378 [ Info: [25] train-mlogloss:0.02137194498131673 [ Info: [26] train-mlogloss:0.02133696516354879 [ Info: [27] train-mlogloss:0.02130704879760742 [ Info: [28] train-mlogloss:0.02128244816015164 [ Info: [29] train-mlogloss:0.02125750408818325 [ Info: [30] train-mlogloss:0.02123480257888635 [ Info: [31] train-mlogloss:0.02121440395712853 [ Info: [32] train-mlogloss:0.02119245747725169 [ Info: [33] train-mlogloss:0.02117429912090301 [ Info: [34] train-mlogloss:0.02115391383568446 [ Info: [35] train-mlogloss:0.02113732576370239 [ Info: [36] train-mlogloss:0.02111849634597699 [ Info: [37] train-mlogloss:0.02110315245886644 [ Info: [38] train-mlogloss:0.02108573678880930 [ Info: [39] train-mlogloss:0.02107139668116967 [ Info: [40] train-mlogloss:0.02105532662322124 [ Info: [41] train-mlogloss:0.02104183902343114 [ Info: [42] train-mlogloss:0.02102709197749694 [ Info: [43] train-mlogloss:0.02101438040534655 [ Info: [44] train-mlogloss:0.02100072381397088 [ Info: [45] train-mlogloss:0.02098917413502932 [ Info: [46] train-mlogloss:0.02097602913777033 [ Info: [47] train-mlogloss:0.02096505167583625 [ Info: [48] train-mlogloss:0.02095298749705156 [ Info: [49] train-mlogloss:0.02094258567939202 [ Info: [50] train-mlogloss:0.02093149314324061 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55040841658910111 [ Info: [2] train-mlogloss:0.32288256247838337 [ Info: [3] train-mlogloss:0.20179963191350300 [ Info: [4] train-mlogloss:0.13171772778034210 [ Info: [5] train-mlogloss:0.08982632388671240 [ Info: [6] train-mlogloss:0.06405786166588466 [ Info: [7] train-mlogloss:0.04771741002798081 [ Info: [8] train-mlogloss:0.03710861725111803 [ Info: [9] train-mlogloss:0.03084428643186887 [ Info: [10] train-mlogloss:0.02674837514758110 [ Info: [11] train-mlogloss:0.02499268626173337 [ Info: [12] train-mlogloss:0.02345246471464634 [ Info: [13] train-mlogloss:0.02288329782585303 [ Info: [14] train-mlogloss:0.02240867269535859 [ Info: [15] train-mlogloss:0.02200728251288335 [ Info: [16] train-mlogloss:0.02166380252689123 [ Info: [17] train-mlogloss:0.02158254779875278 [ Info: [18] train-mlogloss:0.02152000747621059 [ Info: [19] train-mlogloss:0.02122523877769709 [ Info: [20] train-mlogloss:0.02117233109970888 [ Info: [21] train-mlogloss:0.02112941369414329 [ Info: [22] train-mlogloss:0.02109381967534622 [ Info: [23] train-mlogloss:0.02105503190308809 [ Info: [24] train-mlogloss:0.02102493910739819 [ Info: [25] train-mlogloss:0.02099121922006210 [ Info: [26] train-mlogloss:0.02096312813460827 [ Info: [27] train-mlogloss:0.02093458997706572 [ Info: [28] train-mlogloss:0.02090844566623370 [ Info: [29] train-mlogloss:0.02088431545843681 [ Info: [30] train-mlogloss:0.02085896537949642 [ Info: [31] train-mlogloss:0.02083688174684842 [ Info: [32] train-mlogloss:0.02081384873638550 [ Info: [33] train-mlogloss:0.02079354980339607 [ Info: [34] train-mlogloss:0.02077270350108544 [ Info: [35] train-mlogloss:0.02075392346829176 [ Info: [36] train-mlogloss:0.02073505349457264 [ Info: [37] train-mlogloss:0.02071770258247852 [ Info: [38] train-mlogloss:0.02070052675902843 [ Info: [39] train-mlogloss:0.02068447933842739 [ Info: [40] train-mlogloss:0.02066887800892194 [ Info: [41] train-mlogloss:0.02065395716577768 [ Info: [42] train-mlogloss:0.02063980715970198 [ Info: [43] train-mlogloss:0.02062605019658804 [ Info: [44] train-mlogloss:0.02061295448491971 [ Info: [45] train-mlogloss:0.02060067905733983 [ Info: [46] train-mlogloss:0.02058821844557921 [ Info: [47] train-mlogloss:0.02057677482565244 [ Info: [48] train-mlogloss:0.02056555083642403 [ Info: [49] train-mlogloss:0.02055484325935443 [ Info: [50] train-mlogloss:0.02054459735751152 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47137673179308576 [ Info: [2] train-mlogloss:0.25386491099993386 [ Info: [3] train-mlogloss:0.14807274699211120 [ Info: [4] train-mlogloss:0.09205723037322362 [ Info: [5] train-mlogloss:0.06066482971111933 [ Info: [6] train-mlogloss:0.04295153722167015 [ Info: [7] train-mlogloss:0.03270762388904890 [ Info: [8] train-mlogloss:0.02738599337637425 [ Info: [9] train-mlogloss:0.02516936187942823 [ Info: [10] train-mlogloss:0.02333763668934504 [ Info: [11] train-mlogloss:0.02266778178513050 [ Info: [12] train-mlogloss:0.02212460502982140 [ Info: [13] train-mlogloss:0.02167561163504918 [ Info: [14] train-mlogloss:0.02129868791749080 [ Info: [15] train-mlogloss:0.02119122205923001 [ Info: [16] train-mlogloss:0.02111266724765301 [ Info: [17] train-mlogloss:0.02105525170763334 [ Info: [18] train-mlogloss:0.02099810294806957 [ Info: [19] train-mlogloss:0.02095068571468194 [ Info: [20] train-mlogloss:0.02090833236773809 [ Info: [21] train-mlogloss:0.02086369134485722 [ Info: [22] train-mlogloss:0.02082713515808185 [ Info: [23] train-mlogloss:0.02078737662484248 [ Info: [24] train-mlogloss:0.02075469163556894 [ Info: [25] train-mlogloss:0.02072143928458293 [ Info: [26] train-mlogloss:0.02069343050320943 [ Info: [27] train-mlogloss:0.02066349308316906 [ Info: [28] train-mlogloss:0.02063773478070895 [ Info: [29] train-mlogloss:0.02061120197797815 [ Info: [30] train-mlogloss:0.02058755544324716 [ Info: [31] train-mlogloss:0.02056454390908281 [ Info: [32] train-mlogloss:0.02054222234835227 [ Info: [33] train-mlogloss:0.02052238302926223 [ Info: [34] train-mlogloss:0.02049831295385957 [ Info: [35] train-mlogloss:0.02047973650197188 [ Info: [36] train-mlogloss:0.02046052387605111 [ Info: [37] train-mlogloss:0.02044424580410123 [ Info: [38] train-mlogloss:0.02042800602192680 [ Info: [39] train-mlogloss:0.02041375077019135 [ Info: [40] train-mlogloss:0.02039998581012090 [ Info: [41] train-mlogloss:0.02038743487869700 [ Info: [42] train-mlogloss:0.02037577313681443 [ Info: [43] train-mlogloss:0.02036474237839381 [ Info: [44] train-mlogloss:0.02035482621441285 [ Info: [45] train-mlogloss:0.02034515225018064 [ Info: [46] train-mlogloss:0.02033672424654166 [ Info: [47] train-mlogloss:0.02032817635685205 [ Info: [48] train-mlogloss:0.02032097181926171 [ Info: [49] train-mlogloss:0.02031352927287420 [ Info: [50] train-mlogloss:0.02030737039943536 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96882744868596393 [ Info: [2] train-mlogloss:0.85946081558863319 [ Info: [3] train-mlogloss:0.76611671527226766 [ Info: [4] train-mlogloss:0.68564110279083257 [ Info: [5] train-mlogloss:0.61575993855794275 [ Info: [6] train-mlogloss:0.55470518589019779 [ Info: [7] train-mlogloss:0.50109319011370346 [ Info: [8] train-mlogloss:0.45381918271382649 [ Info: [9] train-mlogloss:0.41198597788810731 [ Info: [10] train-mlogloss:0.37485519925753275 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84889590263366699 [ Info: [2] train-mlogloss:0.67237363974253339 [ Info: [3] train-mlogloss:0.54142291466395065 [ Info: [4] train-mlogloss:0.44156123439470929 [ Info: [5] train-mlogloss:0.36395442684491475 [ Info: [6] train-mlogloss:0.30282902002334594 [ Info: [7] train-mlogloss:0.25420235931873320 [ Info: [8] train-mlogloss:0.21521870553493500 [ Info: [9] train-mlogloss:0.18372638821601867 [ Info: [10] train-mlogloss:0.15813165267308554 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73920336564381917 [ Info: [2] train-mlogloss:0.52674978733062749 [ Info: [3] train-mlogloss:0.38791534105936687 [ Info: [4] train-mlogloss:0.29277180473009745 [ Info: [5] train-mlogloss:0.22569579760233560 [ Info: [6] train-mlogloss:0.17751614451408387 [ Info: [7] train-mlogloss:0.14226741443077723 [ Info: [8] train-mlogloss:0.11450104912122090 [ Info: [9] train-mlogloss:0.09456351747115453 [ Info: [10] train-mlogloss:0.07964029481013615 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63993080377578737 [ Info: [2] train-mlogloss:0.41383295257886249 [ Info: [3] train-mlogloss:0.28210760752360026 [ Info: [4] train-mlogloss:0.20020162085692086 [ Info: [5] train-mlogloss:0.14728853642940520 [ Info: [6] train-mlogloss:0.11000388274590174 [ Info: [7] train-mlogloss:0.08553226451079050 [ Info: [8] train-mlogloss:0.06830630461374919 [ Info: [9] train-mlogloss:0.05592985798915227 [ Info: [10] train-mlogloss:0.04696901413301627 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55103933095932012 [ Info: [2] train-mlogloss:0.32644019563992815 [ Info: [3] train-mlogloss:0.20862499296665191 [ Info: [4] train-mlogloss:0.14173357248306273 [ Info: [5] train-mlogloss:0.09890921910603841 [ Info: [6] train-mlogloss:0.07327689930796623 [ Info: [7] train-mlogloss:0.05659951165318489 [ Info: [8] train-mlogloss:0.04742616765201092 [ Info: [9] train-mlogloss:0.04098822370171547 [ Info: [10] train-mlogloss:0.03585836922128995 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47227309743563334 [ Info: [2] train-mlogloss:0.25886888722578683 [ Info: [3] train-mlogloss:0.15727003693580627 [ Info: [4] train-mlogloss:0.10071412265300751 [ Info: [5] train-mlogloss:0.07007200405001640 [ Info: [6] train-mlogloss:0.05263511558373769 [ Info: [7] train-mlogloss:0.04138894709448020 [ Info: [8] train-mlogloss:0.03572250386079152 [ Info: [9] train-mlogloss:0.03291350367168586 [ Info: [10] train-mlogloss:0.03194699919472138 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96882744868596393 [ Info: [2] train-mlogloss:0.85946081558863319 [ Info: [3] train-mlogloss:0.76611671527226766 [ Info: [4] train-mlogloss:0.68564110279083257 [ Info: [5] train-mlogloss:0.61575993855794275 [ Info: [6] train-mlogloss:0.55470518589019779 [ Info: [7] train-mlogloss:0.50109319011370346 [ Info: [8] train-mlogloss:0.45381918271382649 [ Info: [9] train-mlogloss:0.41198597788810731 [ Info: [10] train-mlogloss:0.37485519925753275 [ Info: [11] train-mlogloss:0.34181193550427752 [ Info: [12] train-mlogloss:0.31233895500500997 [ Info: [13] train-mlogloss:0.28599757432937623 [ Info: [14] train-mlogloss:0.26241307914257050 [ Info: [15] train-mlogloss:0.24126302818457285 [ Info: [16] train-mlogloss:0.22226867953936258 [ Info: [17] train-mlogloss:0.20517165700594583 [ Info: [18] train-mlogloss:0.18976268887519837 [ Info: [19] train-mlogloss:0.17585848510265351 [ Info: [20] train-mlogloss:0.16329769651095072 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84889590263366699 [ Info: [2] train-mlogloss:0.67237363974253339 [ Info: [3] train-mlogloss:0.54142291466395065 [ Info: [4] train-mlogloss:0.44156123439470929 [ Info: [5] train-mlogloss:0.36395442684491475 [ Info: [6] train-mlogloss:0.30282902002334594 [ Info: [7] train-mlogloss:0.25420235931873320 [ Info: [8] train-mlogloss:0.21521870553493500 [ Info: [9] train-mlogloss:0.18372638821601867 [ Info: [10] train-mlogloss:0.15813165267308554 [ Info: [11] train-mlogloss:0.13612807085116704 [ Info: [12] train-mlogloss:0.11795001506805419 [ Info: [13] train-mlogloss:0.10306337932745616 [ Info: [14] train-mlogloss:0.09105788012345632 [ Info: [15] train-mlogloss:0.08098088562488556 [ Info: [16] train-mlogloss:0.07248125428954760 [ Info: [17] train-mlogloss:0.06527647395928701 [ Info: [18] train-mlogloss:0.05913830334941546 [ Info: [19] train-mlogloss:0.05388196994860967 [ Info: [20] train-mlogloss:0.05013735433419546 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73920336564381917 [ Info: [2] train-mlogloss:0.52674978733062749 [ Info: [3] train-mlogloss:0.38791534105936687 [ Info: [4] train-mlogloss:0.29277180473009745 [ Info: [5] train-mlogloss:0.22569579760233560 [ Info: [6] train-mlogloss:0.17751614451408387 [ Info: [7] train-mlogloss:0.14226741443077723 [ Info: [8] train-mlogloss:0.11450104912122090 [ Info: [9] train-mlogloss:0.09456351747115453 [ Info: [10] train-mlogloss:0.07964029481013615 [ Info: [11] train-mlogloss:0.06774396394689877 [ Info: [12] train-mlogloss:0.05838283533851306 [ Info: [13] train-mlogloss:0.05095653295516968 [ Info: [14] train-mlogloss:0.04623582003017267 [ Info: [15] train-mlogloss:0.04226598367094993 [ Info: [16] train-mlogloss:0.03893917744358381 [ Info: [17] train-mlogloss:0.03659203886985779 [ Info: [18] train-mlogloss:0.03516044290115436 [ Info: [19] train-mlogloss:0.03452384003748497 [ Info: [20] train-mlogloss:0.03393019749472539 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63993080377578737 [ Info: [2] train-mlogloss:0.41383295257886249 [ Info: [3] train-mlogloss:0.28210760752360026 [ Info: [4] train-mlogloss:0.20020162085692086 [ Info: [5] train-mlogloss:0.14728853642940520 [ Info: [6] train-mlogloss:0.11000388274590174 [ Info: [7] train-mlogloss:0.08553226451079050 [ Info: [8] train-mlogloss:0.06830630461374919 [ Info: [9] train-mlogloss:0.05592985798915227 [ Info: [10] train-mlogloss:0.04696901413301627 [ Info: [11] train-mlogloss:0.04139683052897453 [ Info: [12] train-mlogloss:0.03704486646999915 [ Info: [13] train-mlogloss:0.03331135316441457 [ Info: [14] train-mlogloss:0.03253460178772608 [ Info: [15] train-mlogloss:0.03180419976512591 [ Info: [16] train-mlogloss:0.03120853314797084 [ Info: [17] train-mlogloss:0.03062235653400421 [ Info: [18] train-mlogloss:0.03009291409204403 [ Info: [19] train-mlogloss:0.02961504674206178 [ Info: [20] train-mlogloss:0.02937977567315102 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55103933095932012 [ Info: [2] train-mlogloss:0.32644019563992815 [ Info: [3] train-mlogloss:0.20862499296665191 [ Info: [4] train-mlogloss:0.14173357248306273 [ Info: [5] train-mlogloss:0.09890921910603841 [ Info: [6] train-mlogloss:0.07327689930796623 [ Info: [7] train-mlogloss:0.05659951165318489 [ Info: [8] train-mlogloss:0.04742616765201092 [ Info: [9] train-mlogloss:0.04098822370171547 [ Info: [10] train-mlogloss:0.03585836922128995 [ Info: [11] train-mlogloss:0.03477774154394865 [ Info: [12] train-mlogloss:0.03312381103634834 [ Info: [13] train-mlogloss:0.03220403545846542 [ Info: [14] train-mlogloss:0.03130791919926802 [ Info: [15] train-mlogloss:0.03062659698228041 [ Info: [16] train-mlogloss:0.03040286694963773 [ Info: [17] train-mlogloss:0.03017741814255714 [ Info: [18] train-mlogloss:0.02997188884764910 [ Info: [19] train-mlogloss:0.02976758126169443 [ Info: [20] train-mlogloss:0.02954776206364234 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47227309743563334 [ Info: [2] train-mlogloss:0.25886888722578683 [ Info: [3] train-mlogloss:0.15727003693580627 [ Info: [4] train-mlogloss:0.10071412265300751 [ Info: [5] train-mlogloss:0.07007200405001640 [ Info: [6] train-mlogloss:0.05263511558373769 [ Info: [7] train-mlogloss:0.04138894709448020 [ Info: [8] train-mlogloss:0.03572250386079152 [ Info: [9] train-mlogloss:0.03291350367168586 [ Info: [10] train-mlogloss:0.03194699919472138 [ Info: [11] train-mlogloss:0.03088983897119760 [ Info: [12] train-mlogloss:0.03008199452112119 [ Info: [13] train-mlogloss:0.02933923351267973 [ Info: [14] train-mlogloss:0.02903500132262707 [ Info: [15] train-mlogloss:0.02877542052417994 [ Info: [16] train-mlogloss:0.02855822157114744 [ Info: [17] train-mlogloss:0.02835591866324345 [ Info: [18] train-mlogloss:0.02813930104176203 [ Info: [19] train-mlogloss:0.02795875425140063 [ Info: [20] train-mlogloss:0.02778090786188841 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96882744868596393 [ Info: [2] train-mlogloss:0.85946081558863319 [ Info: [3] train-mlogloss:0.76611671527226766 [ Info: [4] train-mlogloss:0.68564110279083257 [ Info: [5] train-mlogloss:0.61575993855794275 [ Info: [6] train-mlogloss:0.55470518589019779 [ Info: [7] train-mlogloss:0.50109319011370346 [ Info: [8] train-mlogloss:0.45381918271382649 [ Info: [9] train-mlogloss:0.41198597788810731 [ Info: [10] train-mlogloss:0.37485519925753275 [ Info: [11] train-mlogloss:0.34181193550427752 [ Info: [12] train-mlogloss:0.31233895500500997 [ Info: [13] train-mlogloss:0.28599757432937623 [ Info: [14] train-mlogloss:0.26241307914257050 [ Info: [15] train-mlogloss:0.24126302818457285 [ Info: [16] train-mlogloss:0.22226867953936258 [ Info: [17] train-mlogloss:0.20517165700594583 [ Info: [18] train-mlogloss:0.18976268887519837 [ Info: [19] train-mlogloss:0.17585848510265351 [ Info: [20] train-mlogloss:0.16329769651095072 [ Info: [21] train-mlogloss:0.15193837285041809 [ Info: [22] train-mlogloss:0.14109248936176300 [ Info: [23] train-mlogloss:0.13123478809992473 [ Info: [24] train-mlogloss:0.12225412567456563 [ Info: [25] train-mlogloss:0.11406979958216350 [ Info: [26] train-mlogloss:0.10695407758156458 [ Info: [27] train-mlogloss:0.10044606596231460 [ Info: [28] train-mlogloss:0.09459323316812515 [ Info: [29] train-mlogloss:0.08912934561570486 [ Info: [30] train-mlogloss:0.08411378333965937 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84889590263366699 [ Info: [2] train-mlogloss:0.67237363974253339 [ Info: [3] train-mlogloss:0.54142291466395065 [ Info: [4] train-mlogloss:0.44156123439470929 [ Info: [5] train-mlogloss:0.36395442684491475 [ Info: [6] train-mlogloss:0.30282902002334594 [ Info: [7] train-mlogloss:0.25420235931873320 [ Info: [8] train-mlogloss:0.21521870553493500 [ Info: [9] train-mlogloss:0.18372638821601867 [ Info: [10] train-mlogloss:0.15813165267308554 [ Info: [11] train-mlogloss:0.13612807085116704 [ Info: [12] train-mlogloss:0.11795001506805419 [ Info: [13] train-mlogloss:0.10306337932745616 [ Info: [14] train-mlogloss:0.09105788012345632 [ Info: [15] train-mlogloss:0.08098088562488556 [ Info: [16] train-mlogloss:0.07248125428954760 [ Info: [17] train-mlogloss:0.06527647395928701 [ Info: [18] train-mlogloss:0.05913830334941546 [ Info: [19] train-mlogloss:0.05388196994860967 [ Info: [20] train-mlogloss:0.05013735433419546 [ Info: [21] train-mlogloss:0.04692641258239746 [ Info: [22] train-mlogloss:0.04408560931682587 [ Info: [23] train-mlogloss:0.04158503693838914 [ Info: [24] train-mlogloss:0.03935454929868380 [ Info: [25] train-mlogloss:0.03763481892645359 [ Info: [26] train-mlogloss:0.03596980395416419 [ Info: [27] train-mlogloss:0.03542173236608506 [ Info: [28] train-mlogloss:0.03498142305761576 [ Info: [29] train-mlogloss:0.03457502836982409 [ Info: [30] train-mlogloss:0.03419140287985405 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73920336564381917 [ Info: [2] train-mlogloss:0.52674978733062749 [ Info: [3] train-mlogloss:0.38791534105936687 [ Info: [4] train-mlogloss:0.29277180473009745 [ Info: [5] train-mlogloss:0.22569579760233560 [ Info: [6] train-mlogloss:0.17751614451408387 [ Info: [7] train-mlogloss:0.14226741443077723 [ Info: [8] train-mlogloss:0.11450104912122090 [ Info: [9] train-mlogloss:0.09456351747115453 [ Info: [10] train-mlogloss:0.07964029481013615 [ Info: [11] train-mlogloss:0.06774396394689877 [ Info: [12] train-mlogloss:0.05838283533851306 [ Info: [13] train-mlogloss:0.05095653295516968 [ Info: [14] train-mlogloss:0.04623582003017267 [ Info: [15] train-mlogloss:0.04226598367094993 [ Info: [16] train-mlogloss:0.03893917744358381 [ Info: [17] train-mlogloss:0.03659203886985779 [ Info: [18] train-mlogloss:0.03516044290115436 [ Info: [19] train-mlogloss:0.03452384003748497 [ Info: [20] train-mlogloss:0.03393019749472539 [ Info: [21] train-mlogloss:0.03339462872594595 [ Info: [22] train-mlogloss:0.03286241425822178 [ Info: [23] train-mlogloss:0.03238375334690014 [ Info: [24] train-mlogloss:0.03193030601988236 [ Info: [25] train-mlogloss:0.03149399947375059 [ Info: [26] train-mlogloss:0.03110081749657790 [ Info: [27] train-mlogloss:0.03093687284737826 [ Info: [28] train-mlogloss:0.03079726512233416 [ Info: [29] train-mlogloss:0.03067077377190193 [ Info: [30] train-mlogloss:0.03055449520548185 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63993080377578737 [ Info: [2] train-mlogloss:0.41383295257886249 [ Info: [3] train-mlogloss:0.28210760752360026 [ Info: [4] train-mlogloss:0.20020162085692086 [ Info: [5] train-mlogloss:0.14728853642940520 [ Info: [6] train-mlogloss:0.11000388274590174 [ Info: [7] train-mlogloss:0.08553226451079050 [ Info: [8] train-mlogloss:0.06830630461374919 [ Info: [9] train-mlogloss:0.05592985798915227 [ Info: [10] train-mlogloss:0.04696901413301627 [ Info: [11] train-mlogloss:0.04139683052897453 [ Info: [12] train-mlogloss:0.03704486646999915 [ Info: [13] train-mlogloss:0.03331135316441457 [ Info: [14] train-mlogloss:0.03253460178772608 [ Info: [15] train-mlogloss:0.03180419976512591 [ Info: [16] train-mlogloss:0.03120853314797084 [ Info: [17] train-mlogloss:0.03062235653400421 [ Info: [18] train-mlogloss:0.03009291409204403 [ Info: [19] train-mlogloss:0.02961504674206178 [ Info: [20] train-mlogloss:0.02937977567315102 [ Info: [21] train-mlogloss:0.02918990882734458 [ Info: [22] train-mlogloss:0.02899998827526967 [ Info: [23] train-mlogloss:0.02883547799040874 [ Info: [24] train-mlogloss:0.02868711379667123 [ Info: [25] train-mlogloss:0.02853967277954022 [ Info: [26] train-mlogloss:0.02841774130860964 [ Info: [27] train-mlogloss:0.02828585562606653 [ Info: [28] train-mlogloss:0.02815060333659251 [ Info: [29] train-mlogloss:0.02802583448588848 [ Info: [30] train-mlogloss:0.02789919808506966 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55103933095932012 [ Info: [2] train-mlogloss:0.32644019563992815 [ Info: [3] train-mlogloss:0.20862499296665191 [ Info: [4] train-mlogloss:0.14173357248306273 [ Info: [5] train-mlogloss:0.09890921910603841 [ Info: [6] train-mlogloss:0.07327689930796623 [ Info: [7] train-mlogloss:0.05659951165318489 [ Info: [8] train-mlogloss:0.04742616765201092 [ Info: [9] train-mlogloss:0.04098822370171547 [ Info: [10] train-mlogloss:0.03585836922128995 [ Info: [11] train-mlogloss:0.03477774154394865 [ Info: [12] train-mlogloss:0.03312381103634834 [ Info: [13] train-mlogloss:0.03220403545846542 [ Info: [14] train-mlogloss:0.03130791919926802 [ Info: [15] train-mlogloss:0.03062659698228041 [ Info: [16] train-mlogloss:0.03040286694963773 [ Info: [17] train-mlogloss:0.03017741814255714 [ Info: [18] train-mlogloss:0.02997188884764910 [ Info: [19] train-mlogloss:0.02976758126169443 [ Info: [20] train-mlogloss:0.02954776206364234 [ Info: [21] train-mlogloss:0.02937103565782308 [ Info: [22] train-mlogloss:0.02917410022268693 [ Info: [23] train-mlogloss:0.02900376307467619 [ Info: [24] train-mlogloss:0.02882507730275392 [ Info: [25] train-mlogloss:0.02866168002287547 [ Info: [26] train-mlogloss:0.02848014809191227 [ Info: [27] train-mlogloss:0.02831199309478203 [ Info: [28] train-mlogloss:0.02815550164630016 [ Info: [29] train-mlogloss:0.02800153321276109 [ Info: [30] train-mlogloss:0.02786228177448114 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47227309743563334 [ Info: [2] train-mlogloss:0.25886888722578683 [ Info: [3] train-mlogloss:0.15727003693580627 [ Info: [4] train-mlogloss:0.10071412265300751 [ Info: [5] train-mlogloss:0.07007200405001640 [ Info: [6] train-mlogloss:0.05263511558373769 [ Info: [7] train-mlogloss:0.04138894709448020 [ Info: [8] train-mlogloss:0.03572250386079152 [ Info: [9] train-mlogloss:0.03291350367168586 [ Info: [10] train-mlogloss:0.03194699919472138 [ Info: [11] train-mlogloss:0.03088983897119760 [ Info: [12] train-mlogloss:0.03008199452112119 [ Info: [13] train-mlogloss:0.02933923351267973 [ Info: [14] train-mlogloss:0.02903500132262707 [ Info: [15] train-mlogloss:0.02877542052417994 [ Info: [16] train-mlogloss:0.02855822157114744 [ Info: [17] train-mlogloss:0.02835591866324345 [ Info: [18] train-mlogloss:0.02813930104176203 [ Info: [19] train-mlogloss:0.02795875425140063 [ Info: [20] train-mlogloss:0.02778090786188841 [ Info: [21] train-mlogloss:0.02757873881608248 [ Info: [22] train-mlogloss:0.02738826801379522 [ Info: [23] train-mlogloss:0.02721470686296622 [ Info: [24] train-mlogloss:0.02705771206567685 [ Info: [25] train-mlogloss:0.02687987635533015 [ Info: [26] train-mlogloss:0.02673859672000011 [ Info: [27] train-mlogloss:0.02657541471223036 [ Info: [28] train-mlogloss:0.02644868309299151 [ Info: [29] train-mlogloss:0.02631026806930701 [ Info: [30] train-mlogloss:0.02619106709957123 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96882744868596393 [ Info: [2] train-mlogloss:0.85946081558863319 [ Info: [3] train-mlogloss:0.76611671527226766 [ Info: [4] train-mlogloss:0.68564110279083257 [ Info: [5] train-mlogloss:0.61575993855794275 [ Info: [6] train-mlogloss:0.55470518589019779 [ Info: [7] train-mlogloss:0.50109319011370346 [ Info: [8] train-mlogloss:0.45381918271382649 [ Info: [9] train-mlogloss:0.41198597788810731 [ Info: [10] train-mlogloss:0.37485519925753275 [ Info: [11] train-mlogloss:0.34181193550427752 [ Info: [12] train-mlogloss:0.31233895500500997 [ Info: [13] train-mlogloss:0.28599757432937623 [ Info: [14] train-mlogloss:0.26241307914257050 [ Info: [15] train-mlogloss:0.24126302818457285 [ Info: [16] train-mlogloss:0.22226867953936258 [ Info: [17] train-mlogloss:0.20517165700594583 [ Info: [18] train-mlogloss:0.18976268887519837 [ Info: [19] train-mlogloss:0.17585848510265351 [ Info: [20] train-mlogloss:0.16329769651095072 [ Info: [21] train-mlogloss:0.15193837285041809 [ Info: [22] train-mlogloss:0.14109248936176300 [ Info: [23] train-mlogloss:0.13123478809992473 [ Info: [24] train-mlogloss:0.12225412567456563 [ Info: [25] train-mlogloss:0.11406979958216350 [ Info: [26] train-mlogloss:0.10695407758156458 [ Info: [27] train-mlogloss:0.10044606596231460 [ Info: [28] train-mlogloss:0.09459323316812515 [ Info: [29] train-mlogloss:0.08912934561570486 [ Info: [30] train-mlogloss:0.08411378333965937 [ Info: [31] train-mlogloss:0.07950605422258378 [ Info: [32] train-mlogloss:0.07526796181996663 [ Info: [33] train-mlogloss:0.07136495177944502 [ Info: [34] train-mlogloss:0.06776626686255137 [ Info: [35] train-mlogloss:0.06444381386041641 [ Info: [36] train-mlogloss:0.06137262398997943 [ Info: [37] train-mlogloss:0.05853007033467292 [ Info: [38] train-mlogloss:0.05589785903692245 [ Info: [39] train-mlogloss:0.05348695993423462 [ Info: [40] train-mlogloss:0.05161704180141290 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84889590263366699 [ Info: [2] train-mlogloss:0.67237363974253339 [ Info: [3] train-mlogloss:0.54142291466395065 [ Info: [4] train-mlogloss:0.44156123439470929 [ Info: [5] train-mlogloss:0.36395442684491475 [ Info: [6] train-mlogloss:0.30282902002334594 [ Info: [7] train-mlogloss:0.25420235931873320 [ Info: [8] train-mlogloss:0.21521870553493500 [ Info: [9] train-mlogloss:0.18372638821601867 [ Info: [10] train-mlogloss:0.15813165267308554 [ Info: [11] train-mlogloss:0.13612807085116704 [ Info: [12] train-mlogloss:0.11795001506805419 [ Info: [13] train-mlogloss:0.10306337932745616 [ Info: [14] train-mlogloss:0.09105788012345632 [ Info: [15] train-mlogloss:0.08098088562488556 [ Info: [16] train-mlogloss:0.07248125428954760 [ Info: [17] train-mlogloss:0.06527647395928701 [ Info: [18] train-mlogloss:0.05913830334941546 [ Info: [19] train-mlogloss:0.05388196994860967 [ Info: [20] train-mlogloss:0.05013735433419546 [ Info: [21] train-mlogloss:0.04692641258239746 [ Info: [22] train-mlogloss:0.04408560931682587 [ Info: [23] train-mlogloss:0.04158503693838914 [ Info: [24] train-mlogloss:0.03935454929868380 [ Info: [25] train-mlogloss:0.03763481892645359 [ Info: [26] train-mlogloss:0.03596980395416419 [ Info: [27] train-mlogloss:0.03542173236608506 [ Info: [28] train-mlogloss:0.03498142305761576 [ Info: [29] train-mlogloss:0.03457502836982409 [ Info: [30] train-mlogloss:0.03419140287985405 [ Info: [31] train-mlogloss:0.03381006362537543 [ Info: [32] train-mlogloss:0.03346100276956956 [ Info: [33] train-mlogloss:0.03310754435757796 [ Info: [34] train-mlogloss:0.03277776027719180 [ Info: [35] train-mlogloss:0.03246611682077249 [ Info: [36] train-mlogloss:0.03215650809307893 [ Info: [37] train-mlogloss:0.03187275269379219 [ Info: [38] train-mlogloss:0.03157957583665848 [ Info: [39] train-mlogloss:0.03132319594422976 [ Info: [40] train-mlogloss:0.03107912288357814 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73920336564381917 [ Info: [2] train-mlogloss:0.52674978733062749 [ Info: [3] train-mlogloss:0.38791534105936687 [ Info: [4] train-mlogloss:0.29277180473009745 [ Info: [5] train-mlogloss:0.22569579760233560 [ Info: [6] train-mlogloss:0.17751614451408387 [ Info: [7] train-mlogloss:0.14226741443077723 [ Info: [8] train-mlogloss:0.11450104912122090 [ Info: [9] train-mlogloss:0.09456351747115453 [ Info: [10] train-mlogloss:0.07964029481013615 [ Info: [11] train-mlogloss:0.06774396394689877 [ Info: [12] train-mlogloss:0.05838283533851306 [ Info: [13] train-mlogloss:0.05095653295516968 [ Info: [14] train-mlogloss:0.04623582003017267 [ Info: [15] train-mlogloss:0.04226598367094993 [ Info: [16] train-mlogloss:0.03893917744358381 [ Info: [17] train-mlogloss:0.03659203886985779 [ Info: [18] train-mlogloss:0.03516044290115436 [ Info: [19] train-mlogloss:0.03452384003748497 [ Info: [20] train-mlogloss:0.03393019749472539 [ Info: [21] train-mlogloss:0.03339462872594595 [ Info: [22] train-mlogloss:0.03286241425822178 [ Info: [23] train-mlogloss:0.03238375334690014 [ Info: [24] train-mlogloss:0.03193030601988236 [ Info: [25] train-mlogloss:0.03149399947375059 [ Info: [26] train-mlogloss:0.03110081749657790 [ Info: [27] train-mlogloss:0.03093687284737826 [ Info: [28] train-mlogloss:0.03079726512233416 [ Info: [29] train-mlogloss:0.03067077377190193 [ Info: [30] train-mlogloss:0.03055449520548185 [ Info: [31] train-mlogloss:0.03043935452898344 [ Info: [32] train-mlogloss:0.03032822610189517 [ Info: [33] train-mlogloss:0.03021763548254967 [ Info: [34] train-mlogloss:0.03010993551462889 [ Info: [35] train-mlogloss:0.03000492899368207 [ Info: [36] train-mlogloss:0.02989726902296146 [ Info: [37] train-mlogloss:0.02978796982516845 [ Info: [38] train-mlogloss:0.02968642514199019 [ Info: [39] train-mlogloss:0.02958176384369532 [ Info: [40] train-mlogloss:0.02948109886298577 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63993080377578737 [ Info: [2] train-mlogloss:0.41383295257886249 [ Info: [3] train-mlogloss:0.28210760752360026 [ Info: [4] train-mlogloss:0.20020162085692086 [ Info: [5] train-mlogloss:0.14728853642940520 [ Info: [6] train-mlogloss:0.11000388274590174 [ Info: [7] train-mlogloss:0.08553226451079050 [ Info: [8] train-mlogloss:0.06830630461374919 [ Info: [9] train-mlogloss:0.05592985798915227 [ Info: [10] train-mlogloss:0.04696901413301627 [ Info: [11] train-mlogloss:0.04139683052897453 [ Info: [12] train-mlogloss:0.03704486646999915 [ Info: [13] train-mlogloss:0.03331135316441457 [ Info: [14] train-mlogloss:0.03253460178772608 [ Info: [15] train-mlogloss:0.03180419976512591 [ Info: [16] train-mlogloss:0.03120853314797084 [ Info: [17] train-mlogloss:0.03062235653400421 [ Info: [18] train-mlogloss:0.03009291409204403 [ Info: [19] train-mlogloss:0.02961504674206178 [ Info: [20] train-mlogloss:0.02937977567315102 [ Info: [21] train-mlogloss:0.02918990882734458 [ Info: [22] train-mlogloss:0.02899998827526967 [ Info: [23] train-mlogloss:0.02883547799040874 [ Info: [24] train-mlogloss:0.02868711379667123 [ Info: [25] train-mlogloss:0.02853967277954022 [ Info: [26] train-mlogloss:0.02841774130860964 [ Info: [27] train-mlogloss:0.02828585562606653 [ Info: [28] train-mlogloss:0.02815060333659251 [ Info: [29] train-mlogloss:0.02802583448588848 [ Info: [30] train-mlogloss:0.02789919808506966 [ Info: [31] train-mlogloss:0.02778197601437569 [ Info: [32] train-mlogloss:0.02766130770246188 [ Info: [33] train-mlogloss:0.02753823867688576 [ Info: [34] train-mlogloss:0.02741770374278227 [ Info: [35] train-mlogloss:0.02730049964040518 [ Info: [36] train-mlogloss:0.02718683063983917 [ Info: [37] train-mlogloss:0.02707535552481810 [ Info: [38] train-mlogloss:0.02695401335755984 [ Info: [39] train-mlogloss:0.02684589270502329 [ Info: [40] train-mlogloss:0.02673649193098148 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55103933095932012 [ Info: [2] train-mlogloss:0.32644019563992815 [ Info: [3] train-mlogloss:0.20862499296665191 [ Info: [4] train-mlogloss:0.14173357248306273 [ Info: [5] train-mlogloss:0.09890921910603841 [ Info: [6] train-mlogloss:0.07327689930796623 [ Info: [7] train-mlogloss:0.05659951165318489 [ Info: [8] train-mlogloss:0.04742616765201092 [ Info: [9] train-mlogloss:0.04098822370171547 [ Info: [10] train-mlogloss:0.03585836922128995 [ Info: [11] train-mlogloss:0.03477774154394865 [ Info: [12] train-mlogloss:0.03312381103634834 [ Info: [13] train-mlogloss:0.03220403545846542 [ Info: [14] train-mlogloss:0.03130791919926802 [ Info: [15] train-mlogloss:0.03062659698228041 [ Info: [16] train-mlogloss:0.03040286694963773 [ Info: [17] train-mlogloss:0.03017741814255714 [ Info: [18] train-mlogloss:0.02997188884764910 [ Info: [19] train-mlogloss:0.02976758126169443 [ Info: [20] train-mlogloss:0.02954776206364234 [ Info: [21] train-mlogloss:0.02937103565782308 [ Info: [22] train-mlogloss:0.02917410022268693 [ Info: [23] train-mlogloss:0.02900376307467619 [ Info: [24] train-mlogloss:0.02882507730275392 [ Info: [25] train-mlogloss:0.02866168002287547 [ Info: [26] train-mlogloss:0.02848014809191227 [ Info: [27] train-mlogloss:0.02831199309478203 [ Info: [28] train-mlogloss:0.02815550164630016 [ Info: [29] train-mlogloss:0.02800153321276109 [ Info: [30] train-mlogloss:0.02786228177448114 [ Info: [31] train-mlogloss:0.02770706030229727 [ Info: [32] train-mlogloss:0.02758085699131091 [ Info: [33] train-mlogloss:0.02744753050307433 [ Info: [34] train-mlogloss:0.02733461710313956 [ Info: [35] train-mlogloss:0.02721597943454981 [ Info: [36] train-mlogloss:0.02711533748855193 [ Info: [37] train-mlogloss:0.02700810104608536 [ Info: [38] train-mlogloss:0.02691861007362604 [ Info: [39] train-mlogloss:0.02682085854311784 [ Info: [40] train-mlogloss:0.02674123847236236 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47227309743563334 [ Info: [2] train-mlogloss:0.25886888722578683 [ Info: [3] train-mlogloss:0.15727003693580627 [ Info: [4] train-mlogloss:0.10071412265300751 [ Info: [5] train-mlogloss:0.07007200405001640 [ Info: [6] train-mlogloss:0.05263511558373769 [ Info: [7] train-mlogloss:0.04138894709448020 [ Info: [8] train-mlogloss:0.03572250386079152 [ Info: [9] train-mlogloss:0.03291350367168586 [ Info: [10] train-mlogloss:0.03194699919472138 [ Info: [11] train-mlogloss:0.03088983897119760 [ Info: [12] train-mlogloss:0.03008199452112119 [ Info: [13] train-mlogloss:0.02933923351267973 [ Info: [14] train-mlogloss:0.02903500132262707 [ Info: [15] train-mlogloss:0.02877542052417994 [ Info: [16] train-mlogloss:0.02855822157114744 [ Info: [17] train-mlogloss:0.02835591866324345 [ Info: [18] train-mlogloss:0.02813930104176203 [ Info: [19] train-mlogloss:0.02795875425140063 [ Info: [20] train-mlogloss:0.02778090786188841 [ Info: [21] train-mlogloss:0.02757873881608248 [ Info: [22] train-mlogloss:0.02738826801379522 [ Info: [23] train-mlogloss:0.02721470686296622 [ Info: [24] train-mlogloss:0.02705771206567685 [ Info: [25] train-mlogloss:0.02687987635533015 [ Info: [26] train-mlogloss:0.02673859672000011 [ Info: [27] train-mlogloss:0.02657541471223036 [ Info: [28] train-mlogloss:0.02644868309299151 [ Info: [29] train-mlogloss:0.02631026806930701 [ Info: [30] train-mlogloss:0.02619106709957123 [ Info: [31] train-mlogloss:0.02605157400170962 [ Info: [32] train-mlogloss:0.02594213756422202 [ Info: [33] train-mlogloss:0.02582228299230337 [ Info: [34] train-mlogloss:0.02572492510080338 [ Info: [35] train-mlogloss:0.02561928201466799 [ Info: [36] train-mlogloss:0.02554162848740816 [ Info: [37] train-mlogloss:0.02548174730191628 [ Info: [38] train-mlogloss:0.02543404140820106 [ Info: [39] train-mlogloss:0.02539119874437650 [ Info: [40] train-mlogloss:0.02534482313940922 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96882744868596393 [ Info: [2] train-mlogloss:0.85946081558863319 [ Info: [3] train-mlogloss:0.76611671527226766 [ Info: [4] train-mlogloss:0.68564110279083257 [ Info: [5] train-mlogloss:0.61575993855794275 [ Info: [6] train-mlogloss:0.55470518589019779 [ Info: [7] train-mlogloss:0.50109319011370346 [ Info: [8] train-mlogloss:0.45381918271382649 [ Info: [9] train-mlogloss:0.41198597788810731 [ Info: [10] train-mlogloss:0.37485519925753275 [ Info: [11] train-mlogloss:0.34181193550427752 [ Info: [12] train-mlogloss:0.31233895500500997 [ Info: [13] train-mlogloss:0.28599757432937623 [ Info: [14] train-mlogloss:0.26241307914257050 [ Info: [15] train-mlogloss:0.24126302818457285 [ Info: [16] train-mlogloss:0.22226867953936258 [ Info: [17] train-mlogloss:0.20517165700594583 [ Info: [18] train-mlogloss:0.18976268887519837 [ Info: [19] train-mlogloss:0.17585848510265351 [ Info: [20] train-mlogloss:0.16329769651095072 [ Info: [21] train-mlogloss:0.15193837285041809 [ Info: [22] train-mlogloss:0.14109248936176300 [ Info: [23] train-mlogloss:0.13123478809992473 [ Info: [24] train-mlogloss:0.12225412567456563 [ Info: [25] train-mlogloss:0.11406979958216350 [ Info: [26] train-mlogloss:0.10695407758156458 [ Info: [27] train-mlogloss:0.10044606596231460 [ Info: [28] train-mlogloss:0.09459323316812515 [ Info: [29] train-mlogloss:0.08912934561570486 [ Info: [30] train-mlogloss:0.08411378333965937 [ Info: [31] train-mlogloss:0.07950605422258378 [ Info: [32] train-mlogloss:0.07526796181996663 [ Info: [33] train-mlogloss:0.07136495177944502 [ Info: [34] train-mlogloss:0.06776626686255137 [ Info: [35] train-mlogloss:0.06444381386041641 [ Info: [36] train-mlogloss:0.06137262398997943 [ Info: [37] train-mlogloss:0.05853007033467292 [ Info: [38] train-mlogloss:0.05589785903692245 [ Info: [39] train-mlogloss:0.05348695993423462 [ Info: [40] train-mlogloss:0.05161704180141290 [ Info: [41] train-mlogloss:0.04988666286071142 [ Info: [42] train-mlogloss:0.04828377644220988 [ Info: [43] train-mlogloss:0.04679390653967858 [ Info: [44] train-mlogloss:0.04538666856785616 [ Info: [45] train-mlogloss:0.04404577732086182 [ Info: [46] train-mlogloss:0.04279164093236128 [ Info: [47] train-mlogloss:0.04160783869524797 [ Info: [48] train-mlogloss:0.04063986065487067 [ Info: [49] train-mlogloss:0.03956705756485462 [ Info: [50] train-mlogloss:0.03855266481637955 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.84889590263366699 [ Info: [2] train-mlogloss:0.67237363974253339 [ Info: [3] train-mlogloss:0.54142291466395065 [ Info: [4] train-mlogloss:0.44156123439470929 [ Info: [5] train-mlogloss:0.36395442684491475 [ Info: [6] train-mlogloss:0.30282902002334594 [ Info: [7] train-mlogloss:0.25420235931873320 [ Info: [8] train-mlogloss:0.21521870553493500 [ Info: [9] train-mlogloss:0.18372638821601867 [ Info: [10] train-mlogloss:0.15813165267308554 [ Info: [11] train-mlogloss:0.13612807085116704 [ Info: [12] train-mlogloss:0.11795001506805419 [ Info: [13] train-mlogloss:0.10306337932745616 [ Info: [14] train-mlogloss:0.09105788012345632 [ Info: [15] train-mlogloss:0.08098088562488556 [ Info: [16] train-mlogloss:0.07248125428954760 [ Info: [17] train-mlogloss:0.06527647395928701 [ Info: [18] train-mlogloss:0.05913830334941546 [ Info: [19] train-mlogloss:0.05388196994860967 [ Info: [20] train-mlogloss:0.05013735433419546 [ Info: [21] train-mlogloss:0.04692641258239746 [ Info: [22] train-mlogloss:0.04408560931682587 [ Info: [23] train-mlogloss:0.04158503693838914 [ Info: [24] train-mlogloss:0.03935454929868380 [ Info: [25] train-mlogloss:0.03763481892645359 [ Info: [26] train-mlogloss:0.03596980395416419 [ Info: [27] train-mlogloss:0.03542173236608506 [ Info: [28] train-mlogloss:0.03498142305761576 [ Info: [29] train-mlogloss:0.03457502836982409 [ Info: [30] train-mlogloss:0.03419140287985405 [ Info: [31] train-mlogloss:0.03381006362537543 [ Info: [32] train-mlogloss:0.03346100276956956 [ Info: [33] train-mlogloss:0.03310754435757796 [ Info: [34] train-mlogloss:0.03277776027719180 [ Info: [35] train-mlogloss:0.03246611682077249 [ Info: [36] train-mlogloss:0.03215650809307893 [ Info: [37] train-mlogloss:0.03187275269379219 [ Info: [38] train-mlogloss:0.03157957583665848 [ Info: [39] train-mlogloss:0.03132319594422976 [ Info: [40] train-mlogloss:0.03107912288357814 [ Info: [41] train-mlogloss:0.03085899665951729 [ Info: [42] train-mlogloss:0.03076282615462939 [ Info: [43] train-mlogloss:0.03067252511779467 [ Info: [44] train-mlogloss:0.03058218198517958 [ Info: [45] train-mlogloss:0.03050042022019625 [ Info: [46] train-mlogloss:0.03041666090488434 [ Info: [47] train-mlogloss:0.03033932297180096 [ Info: [48] train-mlogloss:0.03026388776799043 [ Info: [49] train-mlogloss:0.03018523309379816 [ Info: [50] train-mlogloss:0.03011025767773390 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.73920336564381917 [ Info: [2] train-mlogloss:0.52674978733062749 [ Info: [3] train-mlogloss:0.38791534105936687 [ Info: [4] train-mlogloss:0.29277180473009745 [ Info: [5] train-mlogloss:0.22569579760233560 [ Info: [6] train-mlogloss:0.17751614451408387 [ Info: [7] train-mlogloss:0.14226741443077723 [ Info: [8] train-mlogloss:0.11450104912122090 [ Info: [9] train-mlogloss:0.09456351747115453 [ Info: [10] train-mlogloss:0.07964029481013615 [ Info: [11] train-mlogloss:0.06774396394689877 [ Info: [12] train-mlogloss:0.05838283533851306 [ Info: [13] train-mlogloss:0.05095653295516968 [ Info: [14] train-mlogloss:0.04623582003017267 [ Info: [15] train-mlogloss:0.04226598367094993 [ Info: [16] train-mlogloss:0.03893917744358381 [ Info: [17] train-mlogloss:0.03659203886985779 [ Info: [18] train-mlogloss:0.03516044290115436 [ Info: [19] train-mlogloss:0.03452384003748497 [ Info: [20] train-mlogloss:0.03393019749472539 [ Info: [21] train-mlogloss:0.03339462872594595 [ Info: [22] train-mlogloss:0.03286241425822178 [ Info: [23] train-mlogloss:0.03238375334690014 [ Info: [24] train-mlogloss:0.03193030601988236 [ Info: [25] train-mlogloss:0.03149399947375059 [ Info: [26] train-mlogloss:0.03110081749657790 [ Info: [27] train-mlogloss:0.03093687284737826 [ Info: [28] train-mlogloss:0.03079726512233416 [ Info: [29] train-mlogloss:0.03067077377190193 [ Info: [30] train-mlogloss:0.03055449520548185 [ Info: [31] train-mlogloss:0.03043935452898344 [ Info: [32] train-mlogloss:0.03032822610189517 [ Info: [33] train-mlogloss:0.03021763548254967 [ Info: [34] train-mlogloss:0.03010993551462889 [ Info: [35] train-mlogloss:0.03000492899368207 [ Info: [36] train-mlogloss:0.02989726902296146 [ Info: [37] train-mlogloss:0.02978796982516845 [ Info: [38] train-mlogloss:0.02968642514199019 [ Info: [39] train-mlogloss:0.02958176384369532 [ Info: [40] train-mlogloss:0.02948109886298577 [ Info: [41] train-mlogloss:0.02938452853510777 [ Info: [42] train-mlogloss:0.02928055603057146 [ Info: [43] train-mlogloss:0.02918303744246562 [ Info: [44] train-mlogloss:0.02908235333859921 [ Info: [45] train-mlogloss:0.02898410112907489 [ Info: [46] train-mlogloss:0.02888735403617223 [ Info: [47] train-mlogloss:0.02879108803967635 [ Info: [48] train-mlogloss:0.02869830732544263 [ Info: [49] train-mlogloss:0.02860140172143777 [ Info: [50] train-mlogloss:0.02850735670576493 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.63993080377578737 [ Info: [2] train-mlogloss:0.41383295257886249 [ Info: [3] train-mlogloss:0.28210760752360026 [ Info: [4] train-mlogloss:0.20020162085692086 [ Info: [5] train-mlogloss:0.14728853642940520 [ Info: [6] train-mlogloss:0.11000388274590174 [ Info: [7] train-mlogloss:0.08553226451079050 [ Info: [8] train-mlogloss:0.06830630461374919 [ Info: [9] train-mlogloss:0.05592985798915227 [ Info: [10] train-mlogloss:0.04696901413301627 [ Info: [11] train-mlogloss:0.04139683052897453 [ Info: [12] train-mlogloss:0.03704486646999915 [ Info: [13] train-mlogloss:0.03331135316441457 [ Info: [14] train-mlogloss:0.03253460178772608 [ Info: [15] train-mlogloss:0.03180419976512591 [ Info: [16] train-mlogloss:0.03120853314797084 [ Info: [17] train-mlogloss:0.03062235653400421 [ Info: [18] train-mlogloss:0.03009291409204403 [ Info: [19] train-mlogloss:0.02961504674206178 [ Info: [20] train-mlogloss:0.02937977567315102 [ Info: [21] train-mlogloss:0.02918990882734458 [ Info: [22] train-mlogloss:0.02899998827526967 [ Info: [23] train-mlogloss:0.02883547799040874 [ Info: [24] train-mlogloss:0.02868711379667123 [ Info: [25] train-mlogloss:0.02853967277954022 [ Info: [26] train-mlogloss:0.02841774130860964 [ Info: [27] train-mlogloss:0.02828585562606653 [ Info: [28] train-mlogloss:0.02815060333659251 [ Info: [29] train-mlogloss:0.02802583448588848 [ Info: [30] train-mlogloss:0.02789919808506966 [ Info: [31] train-mlogloss:0.02778197601437569 [ Info: [32] train-mlogloss:0.02766130770246188 [ Info: [33] train-mlogloss:0.02753823867688576 [ Info: [34] train-mlogloss:0.02741770374278227 [ Info: [35] train-mlogloss:0.02730049964040518 [ Info: [36] train-mlogloss:0.02718683063983917 [ Info: [37] train-mlogloss:0.02707535552481810 [ Info: [38] train-mlogloss:0.02695401335755984 [ Info: [39] train-mlogloss:0.02684589270502329 [ Info: [40] train-mlogloss:0.02673649193098148 [ Info: [41] train-mlogloss:0.02663250192999840 [ Info: [42] train-mlogloss:0.02653750214725733 [ Info: [43] train-mlogloss:0.02642914393295845 [ Info: [44] train-mlogloss:0.02634006413320700 [ Info: [45] train-mlogloss:0.02624162686367830 [ Info: [46] train-mlogloss:0.02615919967492421 [ Info: [47] train-mlogloss:0.02607102368026972 [ Info: [48] train-mlogloss:0.02598816605905692 [ Info: [49] train-mlogloss:0.02590653913716475 [ Info: [50] train-mlogloss:0.02582999162375927 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55103933095932012 [ Info: [2] train-mlogloss:0.32644019563992815 [ Info: [3] train-mlogloss:0.20862499296665191 [ Info: [4] train-mlogloss:0.14173357248306273 [ Info: [5] train-mlogloss:0.09890921910603841 [ Info: [6] train-mlogloss:0.07327689930796623 [ Info: [7] train-mlogloss:0.05659951165318489 [ Info: [8] train-mlogloss:0.04742616765201092 [ Info: [9] train-mlogloss:0.04098822370171547 [ Info: [10] train-mlogloss:0.03585836922128995 [ Info: [11] train-mlogloss:0.03477774154394865 [ Info: [12] train-mlogloss:0.03312381103634834 [ Info: [13] train-mlogloss:0.03220403545846542 [ Info: [14] train-mlogloss:0.03130791919926802 [ Info: [15] train-mlogloss:0.03062659698228041 [ Info: [16] train-mlogloss:0.03040286694963773 [ Info: [17] train-mlogloss:0.03017741814255714 [ Info: [18] train-mlogloss:0.02997188884764910 [ Info: [19] train-mlogloss:0.02976758126169443 [ Info: [20] train-mlogloss:0.02954776206364234 [ Info: [21] train-mlogloss:0.02937103565782308 [ Info: [22] train-mlogloss:0.02917410022268693 [ Info: [23] train-mlogloss:0.02900376307467619 [ Info: [24] train-mlogloss:0.02882507730275392 [ Info: [25] train-mlogloss:0.02866168002287547 [ Info: [26] train-mlogloss:0.02848014809191227 [ Info: [27] train-mlogloss:0.02831199309478203 [ Info: [28] train-mlogloss:0.02815550164630016 [ Info: [29] train-mlogloss:0.02800153321276109 [ Info: [30] train-mlogloss:0.02786228177448114 [ Info: [31] train-mlogloss:0.02770706030229727 [ Info: [32] train-mlogloss:0.02758085699131091 [ Info: [33] train-mlogloss:0.02744753050307433 [ Info: [34] train-mlogloss:0.02733461710313956 [ Info: [35] train-mlogloss:0.02721597943454981 [ Info: [36] train-mlogloss:0.02711533748855193 [ Info: [37] train-mlogloss:0.02700810104608536 [ Info: [38] train-mlogloss:0.02691861007362604 [ Info: [39] train-mlogloss:0.02682085854311784 [ Info: [40] train-mlogloss:0.02674123847236236 [ Info: [41] train-mlogloss:0.02665167448421319 [ Info: [42] train-mlogloss:0.02658076723416646 [ Info: [43] train-mlogloss:0.02649850723644098 [ Info: [44] train-mlogloss:0.02643519418934981 [ Info: [45] train-mlogloss:0.02635954086979230 [ Info: [46] train-mlogloss:0.02629983811328809 [ Info: [47] train-mlogloss:0.02623346384614706 [ Info: [48] train-mlogloss:0.02617574969927470 [ Info: [49] train-mlogloss:0.02611892014741898 [ Info: [50] train-mlogloss:0.02606404869506757 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47227309743563334 [ Info: [2] train-mlogloss:0.25886888722578683 [ Info: [3] train-mlogloss:0.15727003693580627 [ Info: [4] train-mlogloss:0.10071412265300751 [ Info: [5] train-mlogloss:0.07007200405001640 [ Info: [6] train-mlogloss:0.05263511558373769 [ Info: [7] train-mlogloss:0.04138894709448020 [ Info: [8] train-mlogloss:0.03572250386079152 [ Info: [9] train-mlogloss:0.03291350367168586 [ Info: [10] train-mlogloss:0.03194699919472138 [ Info: [11] train-mlogloss:0.03088983897119760 [ Info: [12] train-mlogloss:0.03008199452112119 [ Info: [13] train-mlogloss:0.02933923351267973 [ Info: [14] train-mlogloss:0.02903500132262707 [ Info: [15] train-mlogloss:0.02877542052417994 [ Info: [16] train-mlogloss:0.02855822157114744 [ Info: [17] train-mlogloss:0.02835591866324345 [ Info: [18] train-mlogloss:0.02813930104176203 [ Info: [19] train-mlogloss:0.02795875425140063 [ Info: [20] train-mlogloss:0.02778090786188841 [ Info: [21] train-mlogloss:0.02757873881608248 [ Info: [22] train-mlogloss:0.02738826801379522 [ Info: [23] train-mlogloss:0.02721470686296622 [ Info: [24] train-mlogloss:0.02705771206567685 [ Info: [25] train-mlogloss:0.02687987635533015 [ Info: [26] train-mlogloss:0.02673859672000011 [ Info: [27] train-mlogloss:0.02657541471223036 [ Info: [28] train-mlogloss:0.02644868309299151 [ Info: [29] train-mlogloss:0.02631026806930701 [ Info: [30] train-mlogloss:0.02619106709957123 [ Info: [31] train-mlogloss:0.02605157400170962 [ Info: [32] train-mlogloss:0.02594213756422202 [ Info: [33] train-mlogloss:0.02582228299230337 [ Info: [34] train-mlogloss:0.02572492510080338 [ Info: [35] train-mlogloss:0.02561928201466799 [ Info: [36] train-mlogloss:0.02554162848740816 [ Info: [37] train-mlogloss:0.02548174730191628 [ Info: [38] train-mlogloss:0.02543404140820106 [ Info: [39] train-mlogloss:0.02539119874437650 [ Info: [40] train-mlogloss:0.02534482313940922 [ Info: [41] train-mlogloss:0.02530853190769752 [ Info: [42] train-mlogloss:0.02526807653407256 [ Info: [43] train-mlogloss:0.02523170133431752 [ Info: [44] train-mlogloss:0.02519917955001195 [ Info: [45] train-mlogloss:0.02516367594401042 [ Info: [46] train-mlogloss:0.02513528486092885 [ Info: [47] train-mlogloss:0.02510116513818502 [ Info: [48] train-mlogloss:0.02507511147608360 [ Info: [49] train-mlogloss:0.02504262376576662 [ Info: [50] train-mlogloss:0.02501835138847431 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97030110359191890 [ Info: [2] train-mlogloss:0.86171282529830928 [ Info: [3] train-mlogloss:0.76888016780217494 [ Info: [4] train-mlogloss:0.68858264446258544 [ Info: [5] train-mlogloss:0.61817167997360234 [ Info: [6] train-mlogloss:0.55690804084142054 [ Info: [7] train-mlogloss:0.50254262129465743 [ Info: [8] train-mlogloss:0.45451961596806845 [ Info: [9] train-mlogloss:0.41216593066851298 [ Info: [10] train-mlogloss:0.37418321172396340 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85158835411071776 [ Info: [2] train-mlogloss:0.67456218083699548 [ Info: [3] train-mlogloss:0.54327775637308762 [ Info: [4] train-mlogloss:0.44253581364949546 [ Info: [5] train-mlogloss:0.36313219666481017 [ Info: [6] train-mlogloss:0.30177169680595400 [ Info: [7] train-mlogloss:0.25039016306400297 [ Info: [8] train-mlogloss:0.21127077500025432 [ Info: [9] train-mlogloss:0.17680606226126352 [ Info: [10] train-mlogloss:0.14882743795712788 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74283691644668581 [ Info: [2] train-mlogloss:0.52812590360641476 [ Info: [3] train-mlogloss:0.38717466870943706 [ Info: [4] train-mlogloss:0.29181943297386170 [ Info: [5] train-mlogloss:0.22055768986543020 [ Info: [6] train-mlogloss:0.16922664562861126 [ Info: [7] train-mlogloss:0.13329824815193811 [ Info: [8] train-mlogloss:0.10626591722170511 [ Info: [9] train-mlogloss:0.08564391404390335 [ Info: [10] train-mlogloss:0.07019050220648447 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64421472072601316 [ Info: [2] train-mlogloss:0.41371266961097719 [ Info: [3] train-mlogloss:0.28261374950408935 [ Info: [4] train-mlogloss:0.19373397926489513 [ Info: [5] train-mlogloss:0.13720090339581173 [ Info: [6] train-mlogloss:0.10088175276915233 [ Info: [7] train-mlogloss:0.07623420144120852 [ Info: [8] train-mlogloss:0.06014345005154609 [ Info: [9] train-mlogloss:0.04775831148028373 [ Info: [10] train-mlogloss:0.03938170132537683 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55568153142929078 [ Info: [2] train-mlogloss:0.33033493518829343 [ Info: [3] train-mlogloss:0.21154255251089732 [ Info: [4] train-mlogloss:0.13495631078879039 [ Info: [5] train-mlogloss:0.08966630756855011 [ Info: [6] train-mlogloss:0.06469514191150666 [ Info: [7] train-mlogloss:0.04829889019330343 [ Info: [8] train-mlogloss:0.03836864347259204 [ Info: [9] train-mlogloss:0.03134786846737067 [ Info: [10] train-mlogloss:0.02759067325542371 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47699120521545413 [ Info: [2] train-mlogloss:0.26065766692161563 [ Info: [3] train-mlogloss:0.15094828267892202 [ Info: [4] train-mlogloss:0.09718356927235922 [ Info: [5] train-mlogloss:0.06574518278241158 [ Info: [6] train-mlogloss:0.04761162904401620 [ Info: [7] train-mlogloss:0.03632865510880947 [ Info: [8] train-mlogloss:0.02997110106050968 [ Info: [9] train-mlogloss:0.02793969002862771 [ Info: [10] train-mlogloss:0.02613277547061443 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97030110359191890 [ Info: [2] train-mlogloss:0.86171282529830928 [ Info: [3] train-mlogloss:0.76888016780217494 [ Info: [4] train-mlogloss:0.68858264446258544 [ Info: [5] train-mlogloss:0.61817167997360234 [ Info: [6] train-mlogloss:0.55690804084142054 [ Info: [7] train-mlogloss:0.50254262129465743 [ Info: [8] train-mlogloss:0.45451961596806845 [ Info: [9] train-mlogloss:0.41216593066851298 [ Info: [10] train-mlogloss:0.37418321172396340 [ Info: [11] train-mlogloss:0.34139063398043312 [ Info: [12] train-mlogloss:0.31178192257881165 [ Info: [13] train-mlogloss:0.28544229149818423 [ Info: [14] train-mlogloss:0.26132996400197345 [ Info: [15] train-mlogloss:0.23838578204313915 [ Info: [16] train-mlogloss:0.21777069648106892 [ Info: [17] train-mlogloss:0.19952582538127900 [ Info: [18] train-mlogloss:0.18276160836219787 [ Info: [19] train-mlogloss:0.16764192581176757 [ Info: [20] train-mlogloss:0.15421126544475555 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85158835411071776 [ Info: [2] train-mlogloss:0.67456218083699548 [ Info: [3] train-mlogloss:0.54327775637308762 [ Info: [4] train-mlogloss:0.44253581364949546 [ Info: [5] train-mlogloss:0.36313219666481017 [ Info: [6] train-mlogloss:0.30177169680595400 [ Info: [7] train-mlogloss:0.25039016306400297 [ Info: [8] train-mlogloss:0.21127077500025432 [ Info: [9] train-mlogloss:0.17680606226126352 [ Info: [10] train-mlogloss:0.14882743795712788 [ Info: [11] train-mlogloss:0.12640192091464997 [ Info: [12] train-mlogloss:0.10867921352386474 [ Info: [13] train-mlogloss:0.09408462345600128 [ Info: [14] train-mlogloss:0.08186477720737458 [ Info: [15] train-mlogloss:0.07172997638583184 [ Info: [16] train-mlogloss:0.06382970665891965 [ Info: [17] train-mlogloss:0.05660637433330218 [ Info: [18] train-mlogloss:0.05057167117794355 [ Info: [19] train-mlogloss:0.04575960586468378 [ Info: [20] train-mlogloss:0.04156379751861095 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74283691644668581 [ Info: [2] train-mlogloss:0.52812590360641476 [ Info: [3] train-mlogloss:0.38717466870943706 [ Info: [4] train-mlogloss:0.29181943297386170 [ Info: [5] train-mlogloss:0.22055768986543020 [ Info: [6] train-mlogloss:0.16922664562861126 [ Info: [7] train-mlogloss:0.13329824815193811 [ Info: [8] train-mlogloss:0.10626591722170511 [ Info: [9] train-mlogloss:0.08564391404390335 [ Info: [10] train-mlogloss:0.07019050220648447 [ Info: [11] train-mlogloss:0.05898855472604433 [ Info: [12] train-mlogloss:0.04980071877439817 [ Info: [13] train-mlogloss:0.04298622424403827 [ Info: [14] train-mlogloss:0.03760350873072942 [ Info: [15] train-mlogloss:0.03370468204220136 [ Info: [16] train-mlogloss:0.03061656527221203 [ Info: [17] train-mlogloss:0.02838556595146656 [ Info: [18] train-mlogloss:0.02736618095388015 [ Info: [19] train-mlogloss:0.02644930383811394 [ Info: [20] train-mlogloss:0.02566477614144484 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64421472072601316 [ Info: [2] train-mlogloss:0.41371266961097719 [ Info: [3] train-mlogloss:0.28261374950408935 [ Info: [4] train-mlogloss:0.19373397926489513 [ Info: [5] train-mlogloss:0.13720090339581173 [ Info: [6] train-mlogloss:0.10088175276915233 [ Info: [7] train-mlogloss:0.07623420144120852 [ Info: [8] train-mlogloss:0.06014345005154609 [ Info: [9] train-mlogloss:0.04775831148028373 [ Info: [10] train-mlogloss:0.03938170132537683 [ Info: [11] train-mlogloss:0.03355186693370342 [ Info: [12] train-mlogloss:0.02925320915877819 [ Info: [13] train-mlogloss:0.02654769343634446 [ Info: [14] train-mlogloss:0.02536398715029160 [ Info: [15] train-mlogloss:0.02436785824596882 [ Info: [16] train-mlogloss:0.02355188962072134 [ Info: [17] train-mlogloss:0.02332649540156126 [ Info: [18] train-mlogloss:0.02314572128156821 [ Info: [19] train-mlogloss:0.02298127402861913 [ Info: [20] train-mlogloss:0.02284016977995634 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55568153142929078 [ Info: [2] train-mlogloss:0.33033493518829343 [ Info: [3] train-mlogloss:0.21154255251089732 [ Info: [4] train-mlogloss:0.13495631078879039 [ Info: [5] train-mlogloss:0.08966630756855011 [ Info: [6] train-mlogloss:0.06469514191150666 [ Info: [7] train-mlogloss:0.04829889019330343 [ Info: [8] train-mlogloss:0.03836864347259204 [ Info: [9] train-mlogloss:0.03134786846737067 [ Info: [10] train-mlogloss:0.02759067325542371 [ Info: [11] train-mlogloss:0.02605011167625586 [ Info: [12] train-mlogloss:0.02475933153182268 [ Info: [13] train-mlogloss:0.02376305626084407 [ Info: [14] train-mlogloss:0.02346920584638914 [ Info: [15] train-mlogloss:0.02323021034399668 [ Info: [16] train-mlogloss:0.02303333818912506 [ Info: [17] train-mlogloss:0.02285432911167542 [ Info: [18] train-mlogloss:0.02269481226801872 [ Info: [19] train-mlogloss:0.02253285398085912 [ Info: [20] train-mlogloss:0.02238608258465926 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47699120521545413 [ Info: [2] train-mlogloss:0.26065766692161563 [ Info: [3] train-mlogloss:0.15094828267892202 [ Info: [4] train-mlogloss:0.09718356927235922 [ Info: [5] train-mlogloss:0.06574518278241158 [ Info: [6] train-mlogloss:0.04761162904401620 [ Info: [7] train-mlogloss:0.03632865510880947 [ Info: [8] train-mlogloss:0.02997110106050968 [ Info: [9] train-mlogloss:0.02793969002862771 [ Info: [10] train-mlogloss:0.02613277547061443 [ Info: [11] train-mlogloss:0.02460146964838108 [ Info: [12] train-mlogloss:0.02400078959763050 [ Info: [13] train-mlogloss:0.02350920828059316 [ Info: [14] train-mlogloss:0.02317299289007982 [ Info: [15] train-mlogloss:0.02293105904633800 [ Info: [16] train-mlogloss:0.02273440276583036 [ Info: [17] train-mlogloss:0.02256487214937806 [ Info: [18] train-mlogloss:0.02239120693877339 [ Info: [19] train-mlogloss:0.02223781435439984 [ Info: [20] train-mlogloss:0.02208420884485046 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97030110359191890 [ Info: [2] train-mlogloss:0.86171282529830928 [ Info: [3] train-mlogloss:0.76888016780217494 [ Info: [4] train-mlogloss:0.68858264446258544 [ Info: [5] train-mlogloss:0.61817167997360234 [ Info: [6] train-mlogloss:0.55690804084142054 [ Info: [7] train-mlogloss:0.50254262129465743 [ Info: [8] train-mlogloss:0.45451961596806845 [ Info: [9] train-mlogloss:0.41216593066851298 [ Info: [10] train-mlogloss:0.37418321172396340 [ Info: [11] train-mlogloss:0.34139063398043312 [ Info: [12] train-mlogloss:0.31178192257881165 [ Info: [13] train-mlogloss:0.28544229149818423 [ Info: [14] train-mlogloss:0.26132996400197345 [ Info: [15] train-mlogloss:0.23838578204313915 [ Info: [16] train-mlogloss:0.21777069648106892 [ Info: [17] train-mlogloss:0.19952582538127900 [ Info: [18] train-mlogloss:0.18276160836219787 [ Info: [19] train-mlogloss:0.16764192581176757 [ Info: [20] train-mlogloss:0.15421126544475555 [ Info: [21] train-mlogloss:0.14183003445466361 [ Info: [22] train-mlogloss:0.13129202644030252 [ Info: [23] train-mlogloss:0.12166289011637370 [ Info: [24] train-mlogloss:0.11296719223260880 [ Info: [25] train-mlogloss:0.10498921126127243 [ Info: [26] train-mlogloss:0.09778540869553884 [ Info: [27] train-mlogloss:0.09114092777172725 [ Info: [28] train-mlogloss:0.08513960589965185 [ Info: [29] train-mlogloss:0.07998637566963832 [ Info: [30] train-mlogloss:0.07494507739941279 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85158835411071776 [ Info: [2] train-mlogloss:0.67456218083699548 [ Info: [3] train-mlogloss:0.54327775637308762 [ Info: [4] train-mlogloss:0.44253581364949546 [ Info: [5] train-mlogloss:0.36313219666481017 [ Info: [6] train-mlogloss:0.30177169680595400 [ Info: [7] train-mlogloss:0.25039016306400297 [ Info: [8] train-mlogloss:0.21127077500025432 [ Info: [9] train-mlogloss:0.17680606226126352 [ Info: [10] train-mlogloss:0.14882743795712788 [ Info: [11] train-mlogloss:0.12640192091464997 [ Info: [12] train-mlogloss:0.10867921352386474 [ Info: [13] train-mlogloss:0.09408462345600128 [ Info: [14] train-mlogloss:0.08186477720737458 [ Info: [15] train-mlogloss:0.07172997638583184 [ Info: [16] train-mlogloss:0.06382970665891965 [ Info: [17] train-mlogloss:0.05660637433330218 [ Info: [18] train-mlogloss:0.05057167117794355 [ Info: [19] train-mlogloss:0.04575960586468378 [ Info: [20] train-mlogloss:0.04156379751861095 [ Info: [21] train-mlogloss:0.03820817689100901 [ Info: [22] train-mlogloss:0.03527935062845548 [ Info: [23] train-mlogloss:0.03291492333014806 [ Info: [24] train-mlogloss:0.03086351623137792 [ Info: [25] train-mlogloss:0.02927726797759533 [ Info: [26] train-mlogloss:0.02786190912127495 [ Info: [27] train-mlogloss:0.02718875072896481 [ Info: [28] train-mlogloss:0.02657496771464745 [ Info: [29] train-mlogloss:0.02603303392728170 [ Info: [30] train-mlogloss:0.02554282631725073 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74283691644668581 [ Info: [2] train-mlogloss:0.52812590360641476 [ Info: [3] train-mlogloss:0.38717466870943706 [ Info: [4] train-mlogloss:0.29181943297386170 [ Info: [5] train-mlogloss:0.22055768986543020 [ Info: [6] train-mlogloss:0.16922664562861126 [ Info: [7] train-mlogloss:0.13329824815193811 [ Info: [8] train-mlogloss:0.10626591722170511 [ Info: [9] train-mlogloss:0.08564391404390335 [ Info: [10] train-mlogloss:0.07019050220648447 [ Info: [11] train-mlogloss:0.05898855472604433 [ Info: [12] train-mlogloss:0.04980071877439817 [ Info: [13] train-mlogloss:0.04298622424403827 [ Info: [14] train-mlogloss:0.03760350873072942 [ Info: [15] train-mlogloss:0.03370468204220136 [ Info: [16] train-mlogloss:0.03061656527221203 [ Info: [17] train-mlogloss:0.02838556595146656 [ Info: [18] train-mlogloss:0.02736618095388015 [ Info: [19] train-mlogloss:0.02644930383811394 [ Info: [20] train-mlogloss:0.02566477614144484 [ Info: [21] train-mlogloss:0.02498677941660086 [ Info: [22] train-mlogloss:0.02440195043881734 [ Info: [23] train-mlogloss:0.02402323314299186 [ Info: [24] train-mlogloss:0.02368305449684461 [ Info: [25] train-mlogloss:0.02337569680064917 [ Info: [26] train-mlogloss:0.02321762839953105 [ Info: [27] train-mlogloss:0.02308379972974459 [ Info: [28] train-mlogloss:0.02296391941606998 [ Info: [29] train-mlogloss:0.02285557950536410 [ Info: [30] train-mlogloss:0.02275098392119010 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64421472072601316 [ Info: [2] train-mlogloss:0.41371266961097719 [ Info: [3] train-mlogloss:0.28261374950408935 [ Info: [4] train-mlogloss:0.19373397926489513 [ Info: [5] train-mlogloss:0.13720090339581173 [ Info: [6] train-mlogloss:0.10088175276915233 [ Info: [7] train-mlogloss:0.07623420144120852 [ Info: [8] train-mlogloss:0.06014345005154609 [ Info: [9] train-mlogloss:0.04775831148028373 [ Info: [10] train-mlogloss:0.03938170132537683 [ Info: [11] train-mlogloss:0.03355186693370342 [ Info: [12] train-mlogloss:0.02925320915877819 [ Info: [13] train-mlogloss:0.02654769343634446 [ Info: [14] train-mlogloss:0.02536398715029160 [ Info: [15] train-mlogloss:0.02436785824596882 [ Info: [16] train-mlogloss:0.02355188962072134 [ Info: [17] train-mlogloss:0.02332649540156126 [ Info: [18] train-mlogloss:0.02314572128156821 [ Info: [19] train-mlogloss:0.02298127402861913 [ Info: [20] train-mlogloss:0.02284016977995634 [ Info: [21] train-mlogloss:0.02271054785698652 [ Info: [22] train-mlogloss:0.02258148803065221 [ Info: [23] train-mlogloss:0.02246410589665174 [ Info: [24] train-mlogloss:0.02234635586539904 [ Info: [25] train-mlogloss:0.02223818618804217 [ Info: [26] train-mlogloss:0.02213180887202422 [ Info: [27] train-mlogloss:0.02202403294543425 [ Info: [28] train-mlogloss:0.02192269064486027 [ Info: [29] train-mlogloss:0.02182080167035262 [ Info: [30] train-mlogloss:0.02172661999861399 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55568153142929078 [ Info: [2] train-mlogloss:0.33033493518829343 [ Info: [3] train-mlogloss:0.21154255251089732 [ Info: [4] train-mlogloss:0.13495631078879039 [ Info: [5] train-mlogloss:0.08966630756855011 [ Info: [6] train-mlogloss:0.06469514191150666 [ Info: [7] train-mlogloss:0.04829889019330343 [ Info: [8] train-mlogloss:0.03836864347259204 [ Info: [9] train-mlogloss:0.03134786846737067 [ Info: [10] train-mlogloss:0.02759067325542371 [ Info: [11] train-mlogloss:0.02605011167625586 [ Info: [12] train-mlogloss:0.02475933153182268 [ Info: [13] train-mlogloss:0.02376305626084407 [ Info: [14] train-mlogloss:0.02346920584638914 [ Info: [15] train-mlogloss:0.02323021034399668 [ Info: [16] train-mlogloss:0.02303333818912506 [ Info: [17] train-mlogloss:0.02285432911167542 [ Info: [18] train-mlogloss:0.02269481226801872 [ Info: [19] train-mlogloss:0.02253285398085912 [ Info: [20] train-mlogloss:0.02238608258465926 [ Info: [21] train-mlogloss:0.02225686629613241 [ Info: [22] train-mlogloss:0.02211179349571466 [ Info: [23] train-mlogloss:0.02198766981561978 [ Info: [24] train-mlogloss:0.02186743003626665 [ Info: [25] train-mlogloss:0.02174779701977968 [ Info: [26] train-mlogloss:0.02163945164531469 [ Info: [27] train-mlogloss:0.02154001502941052 [ Info: [28] train-mlogloss:0.02143864357223113 [ Info: [29] train-mlogloss:0.02134249344468117 [ Info: [30] train-mlogloss:0.02125088052203258 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47699120521545413 [ Info: [2] train-mlogloss:0.26065766692161563 [ Info: [3] train-mlogloss:0.15094828267892202 [ Info: [4] train-mlogloss:0.09718356927235922 [ Info: [5] train-mlogloss:0.06574518278241158 [ Info: [6] train-mlogloss:0.04761162904401620 [ Info: [7] train-mlogloss:0.03632865510880947 [ Info: [8] train-mlogloss:0.02997110106050968 [ Info: [9] train-mlogloss:0.02793969002862771 [ Info: [10] train-mlogloss:0.02613277547061443 [ Info: [11] train-mlogloss:0.02460146964838108 [ Info: [12] train-mlogloss:0.02400078959763050 [ Info: [13] train-mlogloss:0.02350920828059316 [ Info: [14] train-mlogloss:0.02317299289007982 [ Info: [15] train-mlogloss:0.02293105904633800 [ Info: [16] train-mlogloss:0.02273440276583036 [ Info: [17] train-mlogloss:0.02256487214937806 [ Info: [18] train-mlogloss:0.02239120693877339 [ Info: [19] train-mlogloss:0.02223781435439984 [ Info: [20] train-mlogloss:0.02208420884485046 [ Info: [21] train-mlogloss:0.02194564512620370 [ Info: [22] train-mlogloss:0.02181960014005502 [ Info: [23] train-mlogloss:0.02170401129871607 [ Info: [24] train-mlogloss:0.02159238102535407 [ Info: [25] train-mlogloss:0.02147651663050056 [ Info: [26] train-mlogloss:0.02137339758997162 [ Info: [27] train-mlogloss:0.02128232948482037 [ Info: [28] train-mlogloss:0.02118642800798019 [ Info: [29] train-mlogloss:0.02109563536942005 [ Info: [30] train-mlogloss:0.02100989341114958 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97030110359191890 [ Info: [2] train-mlogloss:0.86171282529830928 [ Info: [3] train-mlogloss:0.76888016780217494 [ Info: [4] train-mlogloss:0.68858264446258544 [ Info: [5] train-mlogloss:0.61817167997360234 [ Info: [6] train-mlogloss:0.55690804084142054 [ Info: [7] train-mlogloss:0.50254262129465743 [ Info: [8] train-mlogloss:0.45451961596806845 [ Info: [9] train-mlogloss:0.41216593066851298 [ Info: [10] train-mlogloss:0.37418321172396340 [ Info: [11] train-mlogloss:0.34139063398043312 [ Info: [12] train-mlogloss:0.31178192257881165 [ Info: [13] train-mlogloss:0.28544229149818423 [ Info: [14] train-mlogloss:0.26132996400197345 [ Info: [15] train-mlogloss:0.23838578204313915 [ Info: [16] train-mlogloss:0.21777069648106892 [ Info: [17] train-mlogloss:0.19952582538127900 [ Info: [18] train-mlogloss:0.18276160836219787 [ Info: [19] train-mlogloss:0.16764192581176757 [ Info: [20] train-mlogloss:0.15421126544475555 [ Info: [21] train-mlogloss:0.14183003445466361 [ Info: [22] train-mlogloss:0.13129202644030252 [ Info: [23] train-mlogloss:0.12166289011637370 [ Info: [24] train-mlogloss:0.11296719223260880 [ Info: [25] train-mlogloss:0.10498921126127243 [ Info: [26] train-mlogloss:0.09778540869553884 [ Info: [27] train-mlogloss:0.09114092777172725 [ Info: [28] train-mlogloss:0.08513960589965185 [ Info: [29] train-mlogloss:0.07998637566963832 [ Info: [30] train-mlogloss:0.07494507739941279 [ Info: [31] train-mlogloss:0.07051685055096944 [ Info: [32] train-mlogloss:0.06629666889707247 [ Info: [33] train-mlogloss:0.06265002518892288 [ Info: [34] train-mlogloss:0.05907530556122462 [ Info: [35] train-mlogloss:0.05599803611636162 [ Info: [36] train-mlogloss:0.05295591329534848 [ Info: [37] train-mlogloss:0.05016872331500053 [ Info: [38] train-mlogloss:0.04774492859840393 [ Info: [39] train-mlogloss:0.04547669634222985 [ Info: [40] train-mlogloss:0.04348078767458598 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85158835411071776 [ Info: [2] train-mlogloss:0.67456218083699548 [ Info: [3] train-mlogloss:0.54327775637308762 [ Info: [4] train-mlogloss:0.44253581364949546 [ Info: [5] train-mlogloss:0.36313219666481017 [ Info: [6] train-mlogloss:0.30177169680595400 [ Info: [7] train-mlogloss:0.25039016306400297 [ Info: [8] train-mlogloss:0.21127077500025432 [ Info: [9] train-mlogloss:0.17680606226126352 [ Info: [10] train-mlogloss:0.14882743795712788 [ Info: [11] train-mlogloss:0.12640192091464997 [ Info: [12] train-mlogloss:0.10867921352386474 [ Info: [13] train-mlogloss:0.09408462345600128 [ Info: [14] train-mlogloss:0.08186477720737458 [ Info: [15] train-mlogloss:0.07172997638583184 [ Info: [16] train-mlogloss:0.06382970665891965 [ Info: [17] train-mlogloss:0.05660637433330218 [ Info: [18] train-mlogloss:0.05057167117794355 [ Info: [19] train-mlogloss:0.04575960586468378 [ Info: [20] train-mlogloss:0.04156379751861095 [ Info: [21] train-mlogloss:0.03820817689100901 [ Info: [22] train-mlogloss:0.03527935062845548 [ Info: [23] train-mlogloss:0.03291492333014806 [ Info: [24] train-mlogloss:0.03086351623137792 [ Info: [25] train-mlogloss:0.02927726797759533 [ Info: [26] train-mlogloss:0.02786190912127495 [ Info: [27] train-mlogloss:0.02718875072896481 [ Info: [28] train-mlogloss:0.02657496771464745 [ Info: [29] train-mlogloss:0.02603303392728170 [ Info: [30] train-mlogloss:0.02554282631725073 [ Info: [31] train-mlogloss:0.02509854971120755 [ Info: [32] train-mlogloss:0.02469054559866587 [ Info: [33] train-mlogloss:0.02441306800891956 [ Info: [34] train-mlogloss:0.02415626214196285 [ Info: [35] train-mlogloss:0.02391718445966641 [ Info: [36] train-mlogloss:0.02369405304392179 [ Info: [37] train-mlogloss:0.02348529876520236 [ Info: [38] train-mlogloss:0.02328956119716168 [ Info: [39] train-mlogloss:0.02310567182799180 [ Info: [40] train-mlogloss:0.02300061617046594 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74283691644668581 [ Info: [2] train-mlogloss:0.52812590360641476 [ Info: [3] train-mlogloss:0.38717466870943706 [ Info: [4] train-mlogloss:0.29181943297386170 [ Info: [5] train-mlogloss:0.22055768986543020 [ Info: [6] train-mlogloss:0.16922664562861126 [ Info: [7] train-mlogloss:0.13329824815193811 [ Info: [8] train-mlogloss:0.10626591722170511 [ Info: [9] train-mlogloss:0.08564391404390335 [ Info: [10] train-mlogloss:0.07019050220648447 [ Info: [11] train-mlogloss:0.05898855472604433 [ Info: [12] train-mlogloss:0.04980071877439817 [ Info: [13] train-mlogloss:0.04298622424403827 [ Info: [14] train-mlogloss:0.03760350873072942 [ Info: [15] train-mlogloss:0.03370468204220136 [ Info: [16] train-mlogloss:0.03061656527221203 [ Info: [17] train-mlogloss:0.02838556595146656 [ Info: [18] train-mlogloss:0.02736618095388015 [ Info: [19] train-mlogloss:0.02644930383811394 [ Info: [20] train-mlogloss:0.02566477614144484 [ Info: [21] train-mlogloss:0.02498677941660086 [ Info: [22] train-mlogloss:0.02440195043881734 [ Info: [23] train-mlogloss:0.02402323314299186 [ Info: [24] train-mlogloss:0.02368305449684461 [ Info: [25] train-mlogloss:0.02337569680064917 [ Info: [26] train-mlogloss:0.02321762839953105 [ Info: [27] train-mlogloss:0.02308379972974459 [ Info: [28] train-mlogloss:0.02296391941606998 [ Info: [29] train-mlogloss:0.02285557950536410 [ Info: [30] train-mlogloss:0.02275098392119010 [ Info: [31] train-mlogloss:0.02265164894362291 [ Info: [32] train-mlogloss:0.02255885418504476 [ Info: [33] train-mlogloss:0.02246548713495334 [ Info: [34] train-mlogloss:0.02237686701118946 [ Info: [35] train-mlogloss:0.02229263257235289 [ Info: [36] train-mlogloss:0.02221329655498266 [ Info: [37] train-mlogloss:0.02213454282532136 [ Info: [38] train-mlogloss:0.02205975489070018 [ Info: [39] train-mlogloss:0.02198461646835009 [ Info: [40] train-mlogloss:0.02191333061705033 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64421472072601316 [ Info: [2] train-mlogloss:0.41371266961097719 [ Info: [3] train-mlogloss:0.28261374950408935 [ Info: [4] train-mlogloss:0.19373397926489513 [ Info: [5] train-mlogloss:0.13720090339581173 [ Info: [6] train-mlogloss:0.10088175276915233 [ Info: [7] train-mlogloss:0.07623420144120852 [ Info: [8] train-mlogloss:0.06014345005154609 [ Info: [9] train-mlogloss:0.04775831148028373 [ Info: [10] train-mlogloss:0.03938170132537683 [ Info: [11] train-mlogloss:0.03355186693370342 [ Info: [12] train-mlogloss:0.02925320915877819 [ Info: [13] train-mlogloss:0.02654769343634446 [ Info: [14] train-mlogloss:0.02536398715029160 [ Info: [15] train-mlogloss:0.02436785824596882 [ Info: [16] train-mlogloss:0.02355188962072134 [ Info: [17] train-mlogloss:0.02332649540156126 [ Info: [18] train-mlogloss:0.02314572128156821 [ Info: [19] train-mlogloss:0.02298127402861913 [ Info: [20] train-mlogloss:0.02284016977995634 [ Info: [21] train-mlogloss:0.02271054785698652 [ Info: [22] train-mlogloss:0.02258148803065221 [ Info: [23] train-mlogloss:0.02246410589665174 [ Info: [24] train-mlogloss:0.02234635586539904 [ Info: [25] train-mlogloss:0.02223818618804217 [ Info: [26] train-mlogloss:0.02213180887202422 [ Info: [27] train-mlogloss:0.02202403294543425 [ Info: [28] train-mlogloss:0.02192269064486027 [ Info: [29] train-mlogloss:0.02182080167035262 [ Info: [30] train-mlogloss:0.02172661999861399 [ Info: [31] train-mlogloss:0.02163595461597045 [ Info: [32] train-mlogloss:0.02154352031648159 [ Info: [33] train-mlogloss:0.02145800549536944 [ Info: [34] train-mlogloss:0.02137961824735006 [ Info: [35] train-mlogloss:0.02130310812344154 [ Info: [36] train-mlogloss:0.02122173952559630 [ Info: [37] train-mlogloss:0.02114701918015877 [ Info: [38] train-mlogloss:0.02107909179603060 [ Info: [39] train-mlogloss:0.02101216124370694 [ Info: [40] train-mlogloss:0.02094065357620517 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55568153142929078 [ Info: [2] train-mlogloss:0.33033493518829343 [ Info: [3] train-mlogloss:0.21154255251089732 [ Info: [4] train-mlogloss:0.13495631078879039 [ Info: [5] train-mlogloss:0.08966630756855011 [ Info: [6] train-mlogloss:0.06469514191150666 [ Info: [7] train-mlogloss:0.04829889019330343 [ Info: [8] train-mlogloss:0.03836864347259204 [ Info: [9] train-mlogloss:0.03134786846737067 [ Info: [10] train-mlogloss:0.02759067325542371 [ Info: [11] train-mlogloss:0.02605011167625586 [ Info: [12] train-mlogloss:0.02475933153182268 [ Info: [13] train-mlogloss:0.02376305626084407 [ Info: [14] train-mlogloss:0.02346920584638914 [ Info: [15] train-mlogloss:0.02323021034399668 [ Info: [16] train-mlogloss:0.02303333818912506 [ Info: [17] train-mlogloss:0.02285432911167542 [ Info: [18] train-mlogloss:0.02269481226801872 [ Info: [19] train-mlogloss:0.02253285398085912 [ Info: [20] train-mlogloss:0.02238608258465926 [ Info: [21] train-mlogloss:0.02225686629613241 [ Info: [22] train-mlogloss:0.02211179349571466 [ Info: [23] train-mlogloss:0.02198766981561978 [ Info: [24] train-mlogloss:0.02186743003626665 [ Info: [25] train-mlogloss:0.02174779701977968 [ Info: [26] train-mlogloss:0.02163945164531469 [ Info: [27] train-mlogloss:0.02154001502941052 [ Info: [28] train-mlogloss:0.02143864357223113 [ Info: [29] train-mlogloss:0.02134249344468117 [ Info: [30] train-mlogloss:0.02125088052203258 [ Info: [31] train-mlogloss:0.02116718330730994 [ Info: [32] train-mlogloss:0.02109090202177564 [ Info: [33] train-mlogloss:0.02101809628307819 [ Info: [34] train-mlogloss:0.02095063112676144 [ Info: [35] train-mlogloss:0.02088321688895424 [ Info: [36] train-mlogloss:0.02081832606345415 [ Info: [37] train-mlogloss:0.02075487151121100 [ Info: [38] train-mlogloss:0.02069457141682506 [ Info: [39] train-mlogloss:0.02063630222032467 [ Info: [40] train-mlogloss:0.02057712666069468 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47699120521545413 [ Info: [2] train-mlogloss:0.26065766692161563 [ Info: [3] train-mlogloss:0.15094828267892202 [ Info: [4] train-mlogloss:0.09718356927235922 [ Info: [5] train-mlogloss:0.06574518278241158 [ Info: [6] train-mlogloss:0.04761162904401620 [ Info: [7] train-mlogloss:0.03632865510880947 [ Info: [8] train-mlogloss:0.02997110106050968 [ Info: [9] train-mlogloss:0.02793969002862771 [ Info: [10] train-mlogloss:0.02613277547061443 [ Info: [11] train-mlogloss:0.02460146964838108 [ Info: [12] train-mlogloss:0.02400078959763050 [ Info: [13] train-mlogloss:0.02350920828059316 [ Info: [14] train-mlogloss:0.02317299289007982 [ Info: [15] train-mlogloss:0.02293105904633800 [ Info: [16] train-mlogloss:0.02273440276583036 [ Info: [17] train-mlogloss:0.02256487214937806 [ Info: [18] train-mlogloss:0.02239120693877339 [ Info: [19] train-mlogloss:0.02223781435439984 [ Info: [20] train-mlogloss:0.02208420884485046 [ Info: [21] train-mlogloss:0.02194564512620370 [ Info: [22] train-mlogloss:0.02181960014005502 [ Info: [23] train-mlogloss:0.02170401129871607 [ Info: [24] train-mlogloss:0.02159238102535407 [ Info: [25] train-mlogloss:0.02147651663050056 [ Info: [26] train-mlogloss:0.02137339758997162 [ Info: [27] train-mlogloss:0.02128232948482037 [ Info: [28] train-mlogloss:0.02118642800798019 [ Info: [29] train-mlogloss:0.02109563536942005 [ Info: [30] train-mlogloss:0.02100989341114958 [ Info: [31] train-mlogloss:0.02093380459894737 [ Info: [32] train-mlogloss:0.02085401881486177 [ Info: [33] train-mlogloss:0.02077750176812212 [ Info: [34] train-mlogloss:0.02070634974166751 [ Info: [35] train-mlogloss:0.02064009171600143 [ Info: [36] train-mlogloss:0.02058027158180873 [ Info: [37] train-mlogloss:0.02051946724454562 [ Info: [38] train-mlogloss:0.02046656755109628 [ Info: [39] train-mlogloss:0.02041260234390696 [ Info: [40] train-mlogloss:0.02035740817586581 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97030110359191890 [ Info: [2] train-mlogloss:0.86171282529830928 [ Info: [3] train-mlogloss:0.76888016780217494 [ Info: [4] train-mlogloss:0.68858264446258544 [ Info: [5] train-mlogloss:0.61817167997360234 [ Info: [6] train-mlogloss:0.55690804084142054 [ Info: [7] train-mlogloss:0.50254262129465743 [ Info: [8] train-mlogloss:0.45451961596806845 [ Info: [9] train-mlogloss:0.41216593066851298 [ Info: [10] train-mlogloss:0.37418321172396340 [ Info: [11] train-mlogloss:0.34139063398043312 [ Info: [12] train-mlogloss:0.31178192257881165 [ Info: [13] train-mlogloss:0.28544229149818423 [ Info: [14] train-mlogloss:0.26132996400197345 [ Info: [15] train-mlogloss:0.23838578204313915 [ Info: [16] train-mlogloss:0.21777069648106892 [ Info: [17] train-mlogloss:0.19952582538127900 [ Info: [18] train-mlogloss:0.18276160836219787 [ Info: [19] train-mlogloss:0.16764192581176757 [ Info: [20] train-mlogloss:0.15421126544475555 [ Info: [21] train-mlogloss:0.14183003445466361 [ Info: [22] train-mlogloss:0.13129202644030252 [ Info: [23] train-mlogloss:0.12166289011637370 [ Info: [24] train-mlogloss:0.11296719223260880 [ Info: [25] train-mlogloss:0.10498921126127243 [ Info: [26] train-mlogloss:0.09778540869553884 [ Info: [27] train-mlogloss:0.09114092777172725 [ Info: [28] train-mlogloss:0.08513960589965185 [ Info: [29] train-mlogloss:0.07998637566963832 [ Info: [30] train-mlogloss:0.07494507739941279 [ Info: [31] train-mlogloss:0.07051685055096944 [ Info: [32] train-mlogloss:0.06629666889707247 [ Info: [33] train-mlogloss:0.06265002518892288 [ Info: [34] train-mlogloss:0.05907530556122462 [ Info: [35] train-mlogloss:0.05599803611636162 [ Info: [36] train-mlogloss:0.05295591329534848 [ Info: [37] train-mlogloss:0.05016872331500053 [ Info: [38] train-mlogloss:0.04774492859840393 [ Info: [39] train-mlogloss:0.04547669634222985 [ Info: [40] train-mlogloss:0.04348078767458598 [ Info: [41] train-mlogloss:0.04151979317267736 [ Info: [42] train-mlogloss:0.03974109758933386 [ Info: [43] train-mlogloss:0.03819391913712025 [ Info: [44] train-mlogloss:0.03677362230916818 [ Info: [45] train-mlogloss:0.03546709810694059 [ Info: [46] train-mlogloss:0.03426471958557765 [ Info: [47] train-mlogloss:0.03309523242215315 [ Info: [48] train-mlogloss:0.03206168142457803 [ Info: [49] train-mlogloss:0.03108980782330036 [ Info: [50] train-mlogloss:0.03030184877415498 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85158835411071776 [ Info: [2] train-mlogloss:0.67456218083699548 [ Info: [3] train-mlogloss:0.54327775637308762 [ Info: [4] train-mlogloss:0.44253581364949546 [ Info: [5] train-mlogloss:0.36313219666481017 [ Info: [6] train-mlogloss:0.30177169680595400 [ Info: [7] train-mlogloss:0.25039016306400297 [ Info: [8] train-mlogloss:0.21127077500025432 [ Info: [9] train-mlogloss:0.17680606226126352 [ Info: [10] train-mlogloss:0.14882743795712788 [ Info: [11] train-mlogloss:0.12640192091464997 [ Info: [12] train-mlogloss:0.10867921352386474 [ Info: [13] train-mlogloss:0.09408462345600128 [ Info: [14] train-mlogloss:0.08186477720737458 [ Info: [15] train-mlogloss:0.07172997638583184 [ Info: [16] train-mlogloss:0.06382970665891965 [ Info: [17] train-mlogloss:0.05660637433330218 [ Info: [18] train-mlogloss:0.05057167117794355 [ Info: [19] train-mlogloss:0.04575960586468378 [ Info: [20] train-mlogloss:0.04156379751861095 [ Info: [21] train-mlogloss:0.03820817689100901 [ Info: [22] train-mlogloss:0.03527935062845548 [ Info: [23] train-mlogloss:0.03291492333014806 [ Info: [24] train-mlogloss:0.03086351623137792 [ Info: [25] train-mlogloss:0.02927726797759533 [ Info: [26] train-mlogloss:0.02786190912127495 [ Info: [27] train-mlogloss:0.02718875072896481 [ Info: [28] train-mlogloss:0.02657496771464745 [ Info: [29] train-mlogloss:0.02603303392728170 [ Info: [30] train-mlogloss:0.02554282631725073 [ Info: [31] train-mlogloss:0.02509854971120755 [ Info: [32] train-mlogloss:0.02469054559866587 [ Info: [33] train-mlogloss:0.02441306800891956 [ Info: [34] train-mlogloss:0.02415626214196285 [ Info: [35] train-mlogloss:0.02391718445966641 [ Info: [36] train-mlogloss:0.02369405304392179 [ Info: [37] train-mlogloss:0.02348529876520236 [ Info: [38] train-mlogloss:0.02328956119716168 [ Info: [39] train-mlogloss:0.02310567182799180 [ Info: [40] train-mlogloss:0.02300061617046594 [ Info: [41] train-mlogloss:0.02290627072254817 [ Info: [42] train-mlogloss:0.02282146794100602 [ Info: [43] train-mlogloss:0.02274517184744279 [ Info: [44] train-mlogloss:0.02267135325819254 [ Info: [45] train-mlogloss:0.02260002983113130 [ Info: [46] train-mlogloss:0.02253163733830055 [ Info: [47] train-mlogloss:0.02246383103231589 [ Info: [48] train-mlogloss:0.02239827723552783 [ Info: [49] train-mlogloss:0.02233485691249371 [ Info: [50] train-mlogloss:0.02227348867803812 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74283691644668581 [ Info: [2] train-mlogloss:0.52812590360641476 [ Info: [3] train-mlogloss:0.38717466870943706 [ Info: [4] train-mlogloss:0.29181943297386170 [ Info: [5] train-mlogloss:0.22055768986543020 [ Info: [6] train-mlogloss:0.16922664562861126 [ Info: [7] train-mlogloss:0.13329824815193811 [ Info: [8] train-mlogloss:0.10626591722170511 [ Info: [9] train-mlogloss:0.08564391404390335 [ Info: [10] train-mlogloss:0.07019050220648447 [ Info: [11] train-mlogloss:0.05898855472604433 [ Info: [12] train-mlogloss:0.04980071877439817 [ Info: [13] train-mlogloss:0.04298622424403827 [ Info: [14] train-mlogloss:0.03760350873072942 [ Info: [15] train-mlogloss:0.03370468204220136 [ Info: [16] train-mlogloss:0.03061656527221203 [ Info: [17] train-mlogloss:0.02838556595146656 [ Info: [18] train-mlogloss:0.02736618095388015 [ Info: [19] train-mlogloss:0.02644930383811394 [ Info: [20] train-mlogloss:0.02566477614144484 [ Info: [21] train-mlogloss:0.02498677941660086 [ Info: [22] train-mlogloss:0.02440195043881734 [ Info: [23] train-mlogloss:0.02402323314299186 [ Info: [24] train-mlogloss:0.02368305449684461 [ Info: [25] train-mlogloss:0.02337569680064917 [ Info: [26] train-mlogloss:0.02321762839953105 [ Info: [27] train-mlogloss:0.02308379972974459 [ Info: [28] train-mlogloss:0.02296391941606998 [ Info: [29] train-mlogloss:0.02285557950536410 [ Info: [30] train-mlogloss:0.02275098392119010 [ Info: [31] train-mlogloss:0.02265164894362291 [ Info: [32] train-mlogloss:0.02255885418504476 [ Info: [33] train-mlogloss:0.02246548713495334 [ Info: [34] train-mlogloss:0.02237686701118946 [ Info: [35] train-mlogloss:0.02229263257235289 [ Info: [36] train-mlogloss:0.02221329655498266 [ Info: [37] train-mlogloss:0.02213454282532136 [ Info: [38] train-mlogloss:0.02205975489070018 [ Info: [39] train-mlogloss:0.02198461646835009 [ Info: [40] train-mlogloss:0.02191333061705033 [ Info: [41] train-mlogloss:0.02184556273122629 [ Info: [42] train-mlogloss:0.02178041969736417 [ Info: [43] train-mlogloss:0.02171323480705420 [ Info: [44] train-mlogloss:0.02164973564445972 [ Info: [45] train-mlogloss:0.02158581913759311 [ Info: [46] train-mlogloss:0.02152523729950189 [ Info: [47] train-mlogloss:0.02146886275460323 [ Info: [48] train-mlogloss:0.02141065088411172 [ Info: [49] train-mlogloss:0.02135517614583174 [ Info: [50] train-mlogloss:0.02130015102525552 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64421472072601316 [ Info: [2] train-mlogloss:0.41371266961097719 [ Info: [3] train-mlogloss:0.28261374950408935 [ Info: [4] train-mlogloss:0.19373397926489513 [ Info: [5] train-mlogloss:0.13720090339581173 [ Info: [6] train-mlogloss:0.10088175276915233 [ Info: [7] train-mlogloss:0.07623420144120852 [ Info: [8] train-mlogloss:0.06014345005154609 [ Info: [9] train-mlogloss:0.04775831148028373 [ Info: [10] train-mlogloss:0.03938170132537683 [ Info: [11] train-mlogloss:0.03355186693370342 [ Info: [12] train-mlogloss:0.02925320915877819 [ Info: [13] train-mlogloss:0.02654769343634446 [ Info: [14] train-mlogloss:0.02536398715029160 [ Info: [15] train-mlogloss:0.02436785824596882 [ Info: [16] train-mlogloss:0.02355188962072134 [ Info: [17] train-mlogloss:0.02332649540156126 [ Info: [18] train-mlogloss:0.02314572128156821 [ Info: [19] train-mlogloss:0.02298127402861913 [ Info: [20] train-mlogloss:0.02284016977995634 [ Info: [21] train-mlogloss:0.02271054785698652 [ Info: [22] train-mlogloss:0.02258148803065221 [ Info: [23] train-mlogloss:0.02246410589665174 [ Info: [24] train-mlogloss:0.02234635586539904 [ Info: [25] train-mlogloss:0.02223818618804217 [ Info: [26] train-mlogloss:0.02213180887202422 [ Info: [27] train-mlogloss:0.02202403294543425 [ Info: [28] train-mlogloss:0.02192269064486027 [ Info: [29] train-mlogloss:0.02182080167035262 [ Info: [30] train-mlogloss:0.02172661999861399 [ Info: [31] train-mlogloss:0.02163595461597045 [ Info: [32] train-mlogloss:0.02154352031648159 [ Info: [33] train-mlogloss:0.02145800549536944 [ Info: [34] train-mlogloss:0.02137961824735006 [ Info: [35] train-mlogloss:0.02130310812344154 [ Info: [36] train-mlogloss:0.02122173952559630 [ Info: [37] train-mlogloss:0.02114701918015877 [ Info: [38] train-mlogloss:0.02107909179603060 [ Info: [39] train-mlogloss:0.02101216124370694 [ Info: [40] train-mlogloss:0.02094065357620517 [ Info: [41] train-mlogloss:0.02088290896887580 [ Info: [42] train-mlogloss:0.02082932369162639 [ Info: [43] train-mlogloss:0.02077475144838293 [ Info: [44] train-mlogloss:0.02071972017486890 [ Info: [45] train-mlogloss:0.02067029576748609 [ Info: [46] train-mlogloss:0.02062070044378440 [ Info: [47] train-mlogloss:0.02056852285439769 [ Info: [48] train-mlogloss:0.02052281153077880 [ Info: [49] train-mlogloss:0.02047710194562872 [ Info: [50] train-mlogloss:0.02042787040894230 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55568153142929078 [ Info: [2] train-mlogloss:0.33033493518829343 [ Info: [3] train-mlogloss:0.21154255251089732 [ Info: [4] train-mlogloss:0.13495631078879039 [ Info: [5] train-mlogloss:0.08966630756855011 [ Info: [6] train-mlogloss:0.06469514191150666 [ Info: [7] train-mlogloss:0.04829889019330343 [ Info: [8] train-mlogloss:0.03836864347259204 [ Info: [9] train-mlogloss:0.03134786846737067 [ Info: [10] train-mlogloss:0.02759067325542371 [ Info: [11] train-mlogloss:0.02605011167625586 [ Info: [12] train-mlogloss:0.02475933153182268 [ Info: [13] train-mlogloss:0.02376305626084407 [ Info: [14] train-mlogloss:0.02346920584638914 [ Info: [15] train-mlogloss:0.02323021034399668 [ Info: [16] train-mlogloss:0.02303333818912506 [ Info: [17] train-mlogloss:0.02285432911167542 [ Info: [18] train-mlogloss:0.02269481226801872 [ Info: [19] train-mlogloss:0.02253285398085912 [ Info: [20] train-mlogloss:0.02238608258465926 [ Info: [21] train-mlogloss:0.02225686629613241 [ Info: [22] train-mlogloss:0.02211179349571466 [ Info: [23] train-mlogloss:0.02198766981561978 [ Info: [24] train-mlogloss:0.02186743003626665 [ Info: [25] train-mlogloss:0.02174779701977968 [ Info: [26] train-mlogloss:0.02163945164531469 [ Info: [27] train-mlogloss:0.02154001502941052 [ Info: [28] train-mlogloss:0.02143864357223113 [ Info: [29] train-mlogloss:0.02134249344468117 [ Info: [30] train-mlogloss:0.02125088052203258 [ Info: [31] train-mlogloss:0.02116718330730994 [ Info: [32] train-mlogloss:0.02109090202177564 [ Info: [33] train-mlogloss:0.02101809628307819 [ Info: [34] train-mlogloss:0.02095063112676144 [ Info: [35] train-mlogloss:0.02088321688895424 [ Info: [36] train-mlogloss:0.02081832606345415 [ Info: [37] train-mlogloss:0.02075487151121100 [ Info: [38] train-mlogloss:0.02069457141682506 [ Info: [39] train-mlogloss:0.02063630222032467 [ Info: [40] train-mlogloss:0.02057712666069468 [ Info: [41] train-mlogloss:0.02052901050075889 [ Info: [42] train-mlogloss:0.02048168529445926 [ Info: [43] train-mlogloss:0.02043860385194421 [ Info: [44] train-mlogloss:0.02039392747605840 [ Info: [45] train-mlogloss:0.02034982332338890 [ Info: [46] train-mlogloss:0.02031045569106936 [ Info: [47] train-mlogloss:0.02026346270615856 [ Info: [48] train-mlogloss:0.02022684020300706 [ Info: [49] train-mlogloss:0.02018375715861718 [ Info: [50] train-mlogloss:0.02014618991563718 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47699120521545413 [ Info: [2] train-mlogloss:0.26065766692161563 [ Info: [3] train-mlogloss:0.15094828267892202 [ Info: [4] train-mlogloss:0.09718356927235922 [ Info: [5] train-mlogloss:0.06574518278241158 [ Info: [6] train-mlogloss:0.04761162904401620 [ Info: [7] train-mlogloss:0.03632865510880947 [ Info: [8] train-mlogloss:0.02997110106050968 [ Info: [9] train-mlogloss:0.02793969002862771 [ Info: [10] train-mlogloss:0.02613277547061443 [ Info: [11] train-mlogloss:0.02460146964838108 [ Info: [12] train-mlogloss:0.02400078959763050 [ Info: [13] train-mlogloss:0.02350920828059316 [ Info: [14] train-mlogloss:0.02317299289007982 [ Info: [15] train-mlogloss:0.02293105904633800 [ Info: [16] train-mlogloss:0.02273440276583036 [ Info: [17] train-mlogloss:0.02256487214937806 [ Info: [18] train-mlogloss:0.02239120693877339 [ Info: [19] train-mlogloss:0.02223781435439984 [ Info: [20] train-mlogloss:0.02208420884485046 [ Info: [21] train-mlogloss:0.02194564512620370 [ Info: [22] train-mlogloss:0.02181960014005502 [ Info: [23] train-mlogloss:0.02170401129871607 [ Info: [24] train-mlogloss:0.02159238102535407 [ Info: [25] train-mlogloss:0.02147651663050056 [ Info: [26] train-mlogloss:0.02137339758997162 [ Info: [27] train-mlogloss:0.02128232948482037 [ Info: [28] train-mlogloss:0.02118642800798019 [ Info: [29] train-mlogloss:0.02109563536942005 [ Info: [30] train-mlogloss:0.02100989341114958 [ Info: [31] train-mlogloss:0.02093380459894737 [ Info: [32] train-mlogloss:0.02085401881486177 [ Info: [33] train-mlogloss:0.02077750176812212 [ Info: [34] train-mlogloss:0.02070634974166751 [ Info: [35] train-mlogloss:0.02064009171600143 [ Info: [36] train-mlogloss:0.02058027158180873 [ Info: [37] train-mlogloss:0.02051946724454562 [ Info: [38] train-mlogloss:0.02046656755109628 [ Info: [39] train-mlogloss:0.02041260234390696 [ Info: [40] train-mlogloss:0.02035740817586581 [ Info: [41] train-mlogloss:0.02030883607765039 [ Info: [42] train-mlogloss:0.02025464065993826 [ Info: [43] train-mlogloss:0.02020229331528147 [ Info: [44] train-mlogloss:0.02015974064047138 [ Info: [45] train-mlogloss:0.02011186556269725 [ Info: [46] train-mlogloss:0.02007175347767770 [ Info: [47] train-mlogloss:0.02003626154114803 [ Info: [48] train-mlogloss:0.01999370070795218 [ Info: [49] train-mlogloss:0.01996104964365562 [ Info: [50] train-mlogloss:0.01992223065346480 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97302456061045328 [ Info: [2] train-mlogloss:0.86704392035802202 [ Info: [3] train-mlogloss:0.77644741217295332 [ Info: [4] train-mlogloss:0.69826546033223469 [ Info: [5] train-mlogloss:0.63031760851542151 [ Info: [6] train-mlogloss:0.57090506076812741 [ Info: [7] train-mlogloss:0.51869650244712828 [ Info: [8] train-mlogloss:0.47262757857640586 [ Info: [9] train-mlogloss:0.43183308164278666 [ Info: [10] train-mlogloss:0.39560037930806480 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85691887219746909 [ Info: [2] train-mlogloss:0.68550010681152340 [ Info: [3] train-mlogloss:0.55805636723836261 [ Info: [4] train-mlogloss:0.46072633544603986 [ Info: [5] train-mlogloss:0.38498581091562906 [ Info: [6] train-mlogloss:0.32459664384524028 [ Info: [7] train-mlogloss:0.27508811851342518 [ Info: [8] train-mlogloss:0.23503393073876699 [ Info: [9] train-mlogloss:0.20320686062177024 [ Info: [10] train-mlogloss:0.17608785708745320 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75066068808237707 [ Info: [2] train-mlogloss:0.54389880657196044 [ Info: [3] train-mlogloss:0.40846127390861509 [ Info: [4] train-mlogloss:0.31240529457728067 [ Info: [5] train-mlogloss:0.24420380254586538 [ Info: [6] train-mlogloss:0.19538388828436534 [ Info: [7] train-mlogloss:0.15814771125713983 [ Info: [8] train-mlogloss:0.13042622745037080 [ Info: [9] train-mlogloss:0.10904894113540649 [ Info: [10] train-mlogloss:0.09198306540648142 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65442130406697596 [ Info: [2] train-mlogloss:0.43391192197799683 [ Info: [3] train-mlogloss:0.30111801306406655 [ Info: [4] train-mlogloss:0.21722111721833548 [ Info: [5] train-mlogloss:0.16314360400040945 [ Info: [6] train-mlogloss:0.12581615825494130 [ Info: [7] train-mlogloss:0.09949340899785360 [ Info: [8] train-mlogloss:0.08063015744090080 [ Info: [9] train-mlogloss:0.06600155517458915 [ Info: [10] train-mlogloss:0.05535355590283871 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56816325028737391 [ Info: [2] train-mlogloss:0.34866005539894102 [ Info: [3] train-mlogloss:0.22809416055679321 [ Info: [4] train-mlogloss:0.15781701286633809 [ Info: [5] train-mlogloss:0.11415132174889246 [ Info: [6] train-mlogloss:0.08634604478875796 [ Info: [7] train-mlogloss:0.06747745772202809 [ Info: [8] train-mlogloss:0.05520015401144823 [ Info: [9] train-mlogloss:0.04723363384604454 [ Info: [10] train-mlogloss:0.04068537725756566 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49164305130640668 [ Info: [2] train-mlogloss:0.28265752514203391 [ Info: [3] train-mlogloss:0.17605344295501710 [ Info: [4] train-mlogloss:0.11886555035909017 [ Info: [5] train-mlogloss:0.08490558306376139 [ Info: [6] train-mlogloss:0.06381433881819248 [ Info: [7] train-mlogloss:0.05105367953578631 [ Info: [8] train-mlogloss:0.04272167678922414 [ Info: [9] train-mlogloss:0.03649737683435281 [ Info: [10] train-mlogloss:0.03485003522286812 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97302456061045328 [ Info: [2] train-mlogloss:0.86704392035802202 [ Info: [3] train-mlogloss:0.77644741217295332 [ Info: [4] train-mlogloss:0.69826546033223469 [ Info: [5] train-mlogloss:0.63031760851542151 [ Info: [6] train-mlogloss:0.57090506076812741 [ Info: [7] train-mlogloss:0.51869650244712828 [ Info: [8] train-mlogloss:0.47262757857640586 [ Info: [9] train-mlogloss:0.43183308164278666 [ Info: [10] train-mlogloss:0.39560037930806480 [ Info: [11] train-mlogloss:0.36333538373311358 [ Info: [12] train-mlogloss:0.33453782836596169 [ Info: [13] train-mlogloss:0.30842480222384133 [ Info: [14] train-mlogloss:0.28508646945158639 [ Info: [15] train-mlogloss:0.26326279322306317 [ Info: [16] train-mlogloss:0.24357214351495107 [ Info: [17] train-mlogloss:0.22577662229537965 [ Info: [18] train-mlogloss:0.20971150437990824 [ Info: [19] train-mlogloss:0.19505378842353821 [ Info: [20] train-mlogloss:0.18174975434939067 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85691887219746909 [ Info: [2] train-mlogloss:0.68550010681152340 [ Info: [3] train-mlogloss:0.55805636723836261 [ Info: [4] train-mlogloss:0.46072633544603986 [ Info: [5] train-mlogloss:0.38498581091562906 [ Info: [6] train-mlogloss:0.32459664384524028 [ Info: [7] train-mlogloss:0.27508811851342518 [ Info: [8] train-mlogloss:0.23503393073876699 [ Info: [9] train-mlogloss:0.20320686062177024 [ Info: [10] train-mlogloss:0.17608785708745320 [ Info: [11] train-mlogloss:0.15394976923863093 [ Info: [12] train-mlogloss:0.13564451187849044 [ Info: [13] train-mlogloss:0.12016138444344203 [ Info: [14] train-mlogloss:0.10645019302765528 [ Info: [15] train-mlogloss:0.09522169103225073 [ Info: [16] train-mlogloss:0.08559988270203273 [ Info: [17] train-mlogloss:0.07744047080477079 [ Info: [18] train-mlogloss:0.07048138772447904 [ Info: [19] train-mlogloss:0.06435968190431594 [ Info: [20] train-mlogloss:0.05938757893939813 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75066068808237707 [ Info: [2] train-mlogloss:0.54389880657196044 [ Info: [3] train-mlogloss:0.40846127390861509 [ Info: [4] train-mlogloss:0.31240529457728067 [ Info: [5] train-mlogloss:0.24420380254586538 [ Info: [6] train-mlogloss:0.19538388828436534 [ Info: [7] train-mlogloss:0.15814771125713983 [ Info: [8] train-mlogloss:0.13042622745037080 [ Info: [9] train-mlogloss:0.10904894113540649 [ Info: [10] train-mlogloss:0.09198306540648142 [ Info: [11] train-mlogloss:0.07855534662803014 [ Info: [12] train-mlogloss:0.06803815260529518 [ Info: [13] train-mlogloss:0.05943990978101889 [ Info: [14] train-mlogloss:0.05342488065361976 [ Info: [15] train-mlogloss:0.04860954488317171 [ Info: [16] train-mlogloss:0.04474703657130400 [ Info: [17] train-mlogloss:0.04114378850907088 [ Info: [18] train-mlogloss:0.03941644952942928 [ Info: [19] train-mlogloss:0.03785293083637953 [ Info: [20] train-mlogloss:0.03683099384109179 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65442130406697596 [ Info: [2] train-mlogloss:0.43391192197799683 [ Info: [3] train-mlogloss:0.30111801306406655 [ Info: [4] train-mlogloss:0.21722111721833548 [ Info: [5] train-mlogloss:0.16314360400040945 [ Info: [6] train-mlogloss:0.12581615825494130 [ Info: [7] train-mlogloss:0.09949340899785360 [ Info: [8] train-mlogloss:0.08063015744090080 [ Info: [9] train-mlogloss:0.06600155517458915 [ Info: [10] train-mlogloss:0.05535355590283871 [ Info: [11] train-mlogloss:0.04828691477576891 [ Info: [12] train-mlogloss:0.04311524762461583 [ Info: [13] train-mlogloss:0.03856660377234220 [ Info: [14] train-mlogloss:0.03714328363537788 [ Info: [15] train-mlogloss:0.03513777002692223 [ Info: [16] train-mlogloss:0.03401512559503317 [ Info: [17] train-mlogloss:0.03303896524012088 [ Info: [18] train-mlogloss:0.03149194883803526 [ Info: [19] train-mlogloss:0.03063213005041083 [ Info: [20] train-mlogloss:0.02984790901963909 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56816325028737391 [ Info: [2] train-mlogloss:0.34866005539894102 [ Info: [3] train-mlogloss:0.22809416055679321 [ Info: [4] train-mlogloss:0.15781701286633809 [ Info: [5] train-mlogloss:0.11415132174889246 [ Info: [6] train-mlogloss:0.08634604478875796 [ Info: [7] train-mlogloss:0.06747745772202809 [ Info: [8] train-mlogloss:0.05520015401144823 [ Info: [9] train-mlogloss:0.04723363384604454 [ Info: [10] train-mlogloss:0.04068537725756566 [ Info: [11] train-mlogloss:0.03719213613619407 [ Info: [12] train-mlogloss:0.03472418840974569 [ Info: [13] train-mlogloss:0.03321778062731028 [ Info: [14] train-mlogloss:0.03205094849069913 [ Info: [15] train-mlogloss:0.03103753025333087 [ Info: [16] train-mlogloss:0.02936544305955370 [ Info: [17] train-mlogloss:0.02838512723023693 [ Info: [18] train-mlogloss:0.02756198078393936 [ Info: [19] train-mlogloss:0.02668018191431959 [ Info: [20] train-mlogloss:0.02592759915937980 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49164305130640668 [ Info: [2] train-mlogloss:0.28265752514203391 [ Info: [3] train-mlogloss:0.17605344295501710 [ Info: [4] train-mlogloss:0.11886555035909017 [ Info: [5] train-mlogloss:0.08490558306376139 [ Info: [6] train-mlogloss:0.06381433881819248 [ Info: [7] train-mlogloss:0.05105367953578631 [ Info: [8] train-mlogloss:0.04272167678922414 [ Info: [9] train-mlogloss:0.03649737683435281 [ Info: [10] train-mlogloss:0.03485003522286812 [ Info: [11] train-mlogloss:0.03223164117584626 [ Info: [12] train-mlogloss:0.03086822553227345 [ Info: [13] train-mlogloss:0.02976114863529801 [ Info: [14] train-mlogloss:0.02807447483763099 [ Info: [15] train-mlogloss:0.02704904388015469 [ Info: [16] train-mlogloss:0.02603529471283158 [ Info: [17] train-mlogloss:0.02528721562897166 [ Info: [18] train-mlogloss:0.02450716418524583 [ Info: [19] train-mlogloss:0.02384904724856218 [ Info: [20] train-mlogloss:0.02331095726539691 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97302456061045328 [ Info: [2] train-mlogloss:0.86704392035802202 [ Info: [3] train-mlogloss:0.77644741217295332 [ Info: [4] train-mlogloss:0.69826546033223469 [ Info: [5] train-mlogloss:0.63031760851542151 [ Info: [6] train-mlogloss:0.57090506076812741 [ Info: [7] train-mlogloss:0.51869650244712828 [ Info: [8] train-mlogloss:0.47262757857640586 [ Info: [9] train-mlogloss:0.43183308164278666 [ Info: [10] train-mlogloss:0.39560037930806480 [ Info: [11] train-mlogloss:0.36333538373311358 [ Info: [12] train-mlogloss:0.33453782836596169 [ Info: [13] train-mlogloss:0.30842480222384133 [ Info: [14] train-mlogloss:0.28508646945158639 [ Info: [15] train-mlogloss:0.26326279322306317 [ Info: [16] train-mlogloss:0.24357214351495107 [ Info: [17] train-mlogloss:0.22577662229537965 [ Info: [18] train-mlogloss:0.20971150437990824 [ Info: [19] train-mlogloss:0.19505378842353821 [ Info: [20] train-mlogloss:0.18174975434939067 [ Info: [21] train-mlogloss:0.16948710838953654 [ Info: [22] train-mlogloss:0.15867499023675918 [ Info: [23] train-mlogloss:0.14845845381418865 [ Info: [24] train-mlogloss:0.13941102792819340 [ Info: [25] train-mlogloss:0.13106777439514797 [ Info: [26] train-mlogloss:0.12322881708542506 [ Info: [27] train-mlogloss:0.11605596452951432 [ Info: [28] train-mlogloss:0.10950631280740102 [ Info: [29] train-mlogloss:0.10349261005719503 [ Info: [30] train-mlogloss:0.09792742222547531 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85691887219746909 [ Info: [2] train-mlogloss:0.68550010681152340 [ Info: [3] train-mlogloss:0.55805636723836261 [ Info: [4] train-mlogloss:0.46072633544603986 [ Info: [5] train-mlogloss:0.38498581091562906 [ Info: [6] train-mlogloss:0.32459664384524028 [ Info: [7] train-mlogloss:0.27508811851342518 [ Info: [8] train-mlogloss:0.23503393073876699 [ Info: [9] train-mlogloss:0.20320686062177024 [ Info: [10] train-mlogloss:0.17608785708745320 [ Info: [11] train-mlogloss:0.15394976923863093 [ Info: [12] train-mlogloss:0.13564451187849044 [ Info: [13] train-mlogloss:0.12016138444344203 [ Info: [14] train-mlogloss:0.10645019302765528 [ Info: [15] train-mlogloss:0.09522169103225073 [ Info: [16] train-mlogloss:0.08559988270203273 [ Info: [17] train-mlogloss:0.07744047080477079 [ Info: [18] train-mlogloss:0.07048138772447904 [ Info: [19] train-mlogloss:0.06435968190431594 [ Info: [20] train-mlogloss:0.05938757893939813 [ Info: [21] train-mlogloss:0.05525584648052851 [ Info: [22] train-mlogloss:0.05188647858798504 [ Info: [23] train-mlogloss:0.04879436574876309 [ Info: [24] train-mlogloss:0.04611181100209554 [ Info: [25] train-mlogloss:0.04364558798571427 [ Info: [26] train-mlogloss:0.04119412481784820 [ Info: [27] train-mlogloss:0.03969524669150511 [ Info: [28] train-mlogloss:0.03896675149599711 [ Info: [29] train-mlogloss:0.03789265924443801 [ Info: [30] train-mlogloss:0.03722347034762303 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75066068808237707 [ Info: [2] train-mlogloss:0.54389880657196044 [ Info: [3] train-mlogloss:0.40846127390861509 [ Info: [4] train-mlogloss:0.31240529457728067 [ Info: [5] train-mlogloss:0.24420380254586538 [ Info: [6] train-mlogloss:0.19538388828436534 [ Info: [7] train-mlogloss:0.15814771125713983 [ Info: [8] train-mlogloss:0.13042622745037080 [ Info: [9] train-mlogloss:0.10904894113540649 [ Info: [10] train-mlogloss:0.09198306540648142 [ Info: [11] train-mlogloss:0.07855534662803014 [ Info: [12] train-mlogloss:0.06803815260529518 [ Info: [13] train-mlogloss:0.05943990978101889 [ Info: [14] train-mlogloss:0.05342488065361976 [ Info: [15] train-mlogloss:0.04860954488317171 [ Info: [16] train-mlogloss:0.04474703657130400 [ Info: [17] train-mlogloss:0.04114378850907088 [ Info: [18] train-mlogloss:0.03941644952942928 [ Info: [19] train-mlogloss:0.03785293083637953 [ Info: [20] train-mlogloss:0.03683099384109179 [ Info: [21] train-mlogloss:0.03583139657974243 [ Info: [22] train-mlogloss:0.03445843248317639 [ Info: [23] train-mlogloss:0.03361107890804609 [ Info: [24] train-mlogloss:0.03287481675545374 [ Info: [25] train-mlogloss:0.03217788651585579 [ Info: [26] train-mlogloss:0.03153846234083175 [ Info: [27] train-mlogloss:0.03045646714667479 [ Info: [28] train-mlogloss:0.02988170697043339 [ Info: [29] train-mlogloss:0.02932456294695536 [ Info: [30] train-mlogloss:0.02845207699884971 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65442130406697596 [ Info: [2] train-mlogloss:0.43391192197799683 [ Info: [3] train-mlogloss:0.30111801306406655 [ Info: [4] train-mlogloss:0.21722111721833548 [ Info: [5] train-mlogloss:0.16314360400040945 [ Info: [6] train-mlogloss:0.12581615825494130 [ Info: [7] train-mlogloss:0.09949340899785360 [ Info: [8] train-mlogloss:0.08063015744090080 [ Info: [9] train-mlogloss:0.06600155517458915 [ Info: [10] train-mlogloss:0.05535355590283871 [ Info: [11] train-mlogloss:0.04828691477576891 [ Info: [12] train-mlogloss:0.04311524762461583 [ Info: [13] train-mlogloss:0.03856660377234220 [ Info: [14] train-mlogloss:0.03714328363537788 [ Info: [15] train-mlogloss:0.03513777002692223 [ Info: [16] train-mlogloss:0.03401512559503317 [ Info: [17] train-mlogloss:0.03303896524012088 [ Info: [18] train-mlogloss:0.03149194883803526 [ Info: [19] train-mlogloss:0.03063213005041083 [ Info: [20] train-mlogloss:0.02984790901963909 [ Info: [21] train-mlogloss:0.02904178289696574 [ Info: [22] train-mlogloss:0.02792737610638142 [ Info: [23] train-mlogloss:0.02728015705322226 [ Info: [24] train-mlogloss:0.02664971842120091 [ Info: [25] train-mlogloss:0.02609941229224205 [ Info: [26] train-mlogloss:0.02553408818319440 [ Info: [27] train-mlogloss:0.02502500739569465 [ Info: [28] train-mlogloss:0.02455986580501000 [ Info: [29] train-mlogloss:0.02408330015838146 [ Info: [30] train-mlogloss:0.02367612674211462 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56816325028737391 [ Info: [2] train-mlogloss:0.34866005539894102 [ Info: [3] train-mlogloss:0.22809416055679321 [ Info: [4] train-mlogloss:0.15781701286633809 [ Info: [5] train-mlogloss:0.11415132174889246 [ Info: [6] train-mlogloss:0.08634604478875796 [ Info: [7] train-mlogloss:0.06747745772202809 [ Info: [8] train-mlogloss:0.05520015401144823 [ Info: [9] train-mlogloss:0.04723363384604454 [ Info: [10] train-mlogloss:0.04068537725756566 [ Info: [11] train-mlogloss:0.03719213613619407 [ Info: [12] train-mlogloss:0.03472418840974569 [ Info: [13] train-mlogloss:0.03321778062731028 [ Info: [14] train-mlogloss:0.03205094849069913 [ Info: [15] train-mlogloss:0.03103753025333087 [ Info: [16] train-mlogloss:0.02936544305955370 [ Info: [17] train-mlogloss:0.02838512723023693 [ Info: [18] train-mlogloss:0.02756198078393936 [ Info: [19] train-mlogloss:0.02668018191431959 [ Info: [20] train-mlogloss:0.02592759915937980 [ Info: [21] train-mlogloss:0.02527049299950401 [ Info: [22] train-mlogloss:0.02460256640488903 [ Info: [23] train-mlogloss:0.02402798080816865 [ Info: [24] train-mlogloss:0.02353469275558988 [ Info: [25] train-mlogloss:0.02312209584439794 [ Info: [26] train-mlogloss:0.02271775413925449 [ Info: [27] train-mlogloss:0.02250666577989856 [ Info: [28] train-mlogloss:0.02232153624917070 [ Info: [29] train-mlogloss:0.02213611244534453 [ Info: [30] train-mlogloss:0.02195740997170409 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49164305130640668 [ Info: [2] train-mlogloss:0.28265752514203391 [ Info: [3] train-mlogloss:0.17605344295501710 [ Info: [4] train-mlogloss:0.11886555035909017 [ Info: [5] train-mlogloss:0.08490558306376139 [ Info: [6] train-mlogloss:0.06381433881819248 [ Info: [7] train-mlogloss:0.05105367953578631 [ Info: [8] train-mlogloss:0.04272167678922414 [ Info: [9] train-mlogloss:0.03649737683435281 [ Info: [10] train-mlogloss:0.03485003522286812 [ Info: [11] train-mlogloss:0.03223164117584626 [ Info: [12] train-mlogloss:0.03086822553227345 [ Info: [13] train-mlogloss:0.02976114863529801 [ Info: [14] train-mlogloss:0.02807447483763099 [ Info: [15] train-mlogloss:0.02704904388015469 [ Info: [16] train-mlogloss:0.02603529471283158 [ Info: [17] train-mlogloss:0.02528721562897166 [ Info: [18] train-mlogloss:0.02450716418524583 [ Info: [19] train-mlogloss:0.02384904724856218 [ Info: [20] train-mlogloss:0.02331095726539691 [ Info: [21] train-mlogloss:0.02280359617744883 [ Info: [22] train-mlogloss:0.02254638696710269 [ Info: [23] train-mlogloss:0.02232750971491138 [ Info: [24] train-mlogloss:0.02212793817433218 [ Info: [25] train-mlogloss:0.02192135466262698 [ Info: [26] train-mlogloss:0.02177872200496495 [ Info: [27] train-mlogloss:0.02166068233549595 [ Info: [28] train-mlogloss:0.02154106933313112 [ Info: [29] train-mlogloss:0.02143839291296899 [ Info: [30] train-mlogloss:0.02133068768307567 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97302456061045328 [ Info: [2] train-mlogloss:0.86704392035802202 [ Info: [3] train-mlogloss:0.77644741217295332 [ Info: [4] train-mlogloss:0.69826546033223469 [ Info: [5] train-mlogloss:0.63031760851542151 [ Info: [6] train-mlogloss:0.57090506076812741 [ Info: [7] train-mlogloss:0.51869650244712828 [ Info: [8] train-mlogloss:0.47262757857640586 [ Info: [9] train-mlogloss:0.43183308164278666 [ Info: [10] train-mlogloss:0.39560037930806480 [ Info: [11] train-mlogloss:0.36333538373311358 [ Info: [12] train-mlogloss:0.33453782836596169 [ Info: [13] train-mlogloss:0.30842480222384133 [ Info: [14] train-mlogloss:0.28508646945158639 [ Info: [15] train-mlogloss:0.26326279322306317 [ Info: [16] train-mlogloss:0.24357214351495107 [ Info: [17] train-mlogloss:0.22577662229537965 [ Info: [18] train-mlogloss:0.20971150437990824 [ Info: [19] train-mlogloss:0.19505378842353821 [ Info: [20] train-mlogloss:0.18174975434939067 [ Info: [21] train-mlogloss:0.16948710838953654 [ Info: [22] train-mlogloss:0.15867499023675918 [ Info: [23] train-mlogloss:0.14845845381418865 [ Info: [24] train-mlogloss:0.13941102792819340 [ Info: [25] train-mlogloss:0.13106777439514797 [ Info: [26] train-mlogloss:0.12322881708542506 [ Info: [27] train-mlogloss:0.11605596452951432 [ Info: [28] train-mlogloss:0.10950631280740102 [ Info: [29] train-mlogloss:0.10349261005719503 [ Info: [30] train-mlogloss:0.09792742222547531 [ Info: [31] train-mlogloss:0.09275272195537886 [ Info: [32] train-mlogloss:0.08800507913033168 [ Info: [33] train-mlogloss:0.08362835218509038 [ Info: [34] train-mlogloss:0.07959489494562150 [ Info: [35] train-mlogloss:0.07598791316151619 [ Info: [36] train-mlogloss:0.07250442753235499 [ Info: [37] train-mlogloss:0.06925678297877312 [ Info: [38] train-mlogloss:0.06623505329092344 [ Info: [39] train-mlogloss:0.06344969642659028 [ Info: [40] train-mlogloss:0.06110112674534321 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85691887219746909 [ Info: [2] train-mlogloss:0.68550010681152340 [ Info: [3] train-mlogloss:0.55805636723836261 [ Info: [4] train-mlogloss:0.46072633544603986 [ Info: [5] train-mlogloss:0.38498581091562906 [ Info: [6] train-mlogloss:0.32459664384524028 [ Info: [7] train-mlogloss:0.27508811851342518 [ Info: [8] train-mlogloss:0.23503393073876699 [ Info: [9] train-mlogloss:0.20320686062177024 [ Info: [10] train-mlogloss:0.17608785708745320 [ Info: [11] train-mlogloss:0.15394976923863093 [ Info: [12] train-mlogloss:0.13564451187849044 [ Info: [13] train-mlogloss:0.12016138444344203 [ Info: [14] train-mlogloss:0.10645019302765528 [ Info: [15] train-mlogloss:0.09522169103225073 [ Info: [16] train-mlogloss:0.08559988270203273 [ Info: [17] train-mlogloss:0.07744047080477079 [ Info: [18] train-mlogloss:0.07048138772447904 [ Info: [19] train-mlogloss:0.06435968190431594 [ Info: [20] train-mlogloss:0.05938757893939813 [ Info: [21] train-mlogloss:0.05525584648052851 [ Info: [22] train-mlogloss:0.05188647858798504 [ Info: [23] train-mlogloss:0.04879436574876309 [ Info: [24] train-mlogloss:0.04611181100209554 [ Info: [25] train-mlogloss:0.04364558798571427 [ Info: [26] train-mlogloss:0.04119412481784820 [ Info: [27] train-mlogloss:0.03969524669150511 [ Info: [28] train-mlogloss:0.03896675149599711 [ Info: [29] train-mlogloss:0.03789265924443801 [ Info: [30] train-mlogloss:0.03722347034762303 [ Info: [31] train-mlogloss:0.03658846564590931 [ Info: [32] train-mlogloss:0.03569666267683109 [ Info: [33] train-mlogloss:0.03515992073963086 [ Info: [34] train-mlogloss:0.03429146877179543 [ Info: [35] train-mlogloss:0.03379975325117508 [ Info: [36] train-mlogloss:0.03329637254277865 [ Info: [37] train-mlogloss:0.03255233188470204 [ Info: [38] train-mlogloss:0.03209847860038281 [ Info: [39] train-mlogloss:0.03167033365617196 [ Info: [40] train-mlogloss:0.03123812810828288 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75066068808237707 [ Info: [2] train-mlogloss:0.54389880657196044 [ Info: [3] train-mlogloss:0.40846127390861509 [ Info: [4] train-mlogloss:0.31240529457728067 [ Info: [5] train-mlogloss:0.24420380254586538 [ Info: [6] train-mlogloss:0.19538388828436534 [ Info: [7] train-mlogloss:0.15814771125713983 [ Info: [8] train-mlogloss:0.13042622745037080 [ Info: [9] train-mlogloss:0.10904894113540649 [ Info: [10] train-mlogloss:0.09198306540648142 [ Info: [11] train-mlogloss:0.07855534662803014 [ Info: [12] train-mlogloss:0.06803815260529518 [ Info: [13] train-mlogloss:0.05943990978101889 [ Info: [14] train-mlogloss:0.05342488065361976 [ Info: [15] train-mlogloss:0.04860954488317171 [ Info: [16] train-mlogloss:0.04474703657130400 [ Info: [17] train-mlogloss:0.04114378850907088 [ Info: [18] train-mlogloss:0.03941644952942928 [ Info: [19] train-mlogloss:0.03785293083637953 [ Info: [20] train-mlogloss:0.03683099384109179 [ Info: [21] train-mlogloss:0.03583139657974243 [ Info: [22] train-mlogloss:0.03445843248317639 [ Info: [23] train-mlogloss:0.03361107890804609 [ Info: [24] train-mlogloss:0.03287481675545374 [ Info: [25] train-mlogloss:0.03217788651585579 [ Info: [26] train-mlogloss:0.03153846234083175 [ Info: [27] train-mlogloss:0.03045646714667479 [ Info: [28] train-mlogloss:0.02988170697043339 [ Info: [29] train-mlogloss:0.02932456294695536 [ Info: [30] train-mlogloss:0.02845207699884971 [ Info: [31] train-mlogloss:0.02794700049484769 [ Info: [32] train-mlogloss:0.02742236624782284 [ Info: [33] train-mlogloss:0.02696587317933639 [ Info: [34] train-mlogloss:0.02653242968022823 [ Info: [35] train-mlogloss:0.02610848288362225 [ Info: [36] train-mlogloss:0.02572640494133035 [ Info: [37] train-mlogloss:0.02532707891737421 [ Info: [38] train-mlogloss:0.02495797113204996 [ Info: [39] train-mlogloss:0.02461806034669280 [ Info: [40] train-mlogloss:0.02427446371565262 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65442130406697596 [ Info: [2] train-mlogloss:0.43391192197799683 [ Info: [3] train-mlogloss:0.30111801306406655 [ Info: [4] train-mlogloss:0.21722111721833548 [ Info: [5] train-mlogloss:0.16314360400040945 [ Info: [6] train-mlogloss:0.12581615825494130 [ Info: [7] train-mlogloss:0.09949340899785360 [ Info: [8] train-mlogloss:0.08063015744090080 [ Info: [9] train-mlogloss:0.06600155517458915 [ Info: [10] train-mlogloss:0.05535355590283871 [ Info: [11] train-mlogloss:0.04828691477576891 [ Info: [12] train-mlogloss:0.04311524762461583 [ Info: [13] train-mlogloss:0.03856660377234220 [ Info: [14] train-mlogloss:0.03714328363537788 [ Info: [15] train-mlogloss:0.03513777002692223 [ Info: [16] train-mlogloss:0.03401512559503317 [ Info: [17] train-mlogloss:0.03303896524012088 [ Info: [18] train-mlogloss:0.03149194883803526 [ Info: [19] train-mlogloss:0.03063213005041083 [ Info: [20] train-mlogloss:0.02984790901963909 [ Info: [21] train-mlogloss:0.02904178289696574 [ Info: [22] train-mlogloss:0.02792737610638142 [ Info: [23] train-mlogloss:0.02728015705322226 [ Info: [24] train-mlogloss:0.02664971842120091 [ Info: [25] train-mlogloss:0.02609941229224205 [ Info: [26] train-mlogloss:0.02553408818319440 [ Info: [27] train-mlogloss:0.02502500739569465 [ Info: [28] train-mlogloss:0.02455986580501000 [ Info: [29] train-mlogloss:0.02408330015838146 [ Info: [30] train-mlogloss:0.02367612674211462 [ Info: [31] train-mlogloss:0.02325640698894858 [ Info: [32] train-mlogloss:0.02287779927874605 [ Info: [33] train-mlogloss:0.02268565882618229 [ Info: [34] train-mlogloss:0.02251099551717440 [ Info: [35] train-mlogloss:0.02232634678483009 [ Info: [36] train-mlogloss:0.02215807484462857 [ Info: [37] train-mlogloss:0.02200409781187773 [ Info: [38] train-mlogloss:0.02184154571344455 [ Info: [39] train-mlogloss:0.02169313710493346 [ Info: [40] train-mlogloss:0.02155642381248375 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56816325028737391 [ Info: [2] train-mlogloss:0.34866005539894102 [ Info: [3] train-mlogloss:0.22809416055679321 [ Info: [4] train-mlogloss:0.15781701286633809 [ Info: [5] train-mlogloss:0.11415132174889246 [ Info: [6] train-mlogloss:0.08634604478875796 [ Info: [7] train-mlogloss:0.06747745772202809 [ Info: [8] train-mlogloss:0.05520015401144823 [ Info: [9] train-mlogloss:0.04723363384604454 [ Info: [10] train-mlogloss:0.04068537725756566 [ Info: [11] train-mlogloss:0.03719213613619407 [ Info: [12] train-mlogloss:0.03472418840974569 [ Info: [13] train-mlogloss:0.03321778062731028 [ Info: [14] train-mlogloss:0.03205094849069913 [ Info: [15] train-mlogloss:0.03103753025333087 [ Info: [16] train-mlogloss:0.02936544305955370 [ Info: [17] train-mlogloss:0.02838512723023693 [ Info: [18] train-mlogloss:0.02756198078393936 [ Info: [19] train-mlogloss:0.02668018191431959 [ Info: [20] train-mlogloss:0.02592759915937980 [ Info: [21] train-mlogloss:0.02527049299950401 [ Info: [22] train-mlogloss:0.02460256640488903 [ Info: [23] train-mlogloss:0.02402798080816865 [ Info: [24] train-mlogloss:0.02353469275558988 [ Info: [25] train-mlogloss:0.02312209584439794 [ Info: [26] train-mlogloss:0.02271775413925449 [ Info: [27] train-mlogloss:0.02250666577989856 [ Info: [28] train-mlogloss:0.02232153624917070 [ Info: [29] train-mlogloss:0.02213611244534453 [ Info: [30] train-mlogloss:0.02195740997170409 [ Info: [31] train-mlogloss:0.02180541624315083 [ Info: [32] train-mlogloss:0.02163505025518437 [ Info: [33] train-mlogloss:0.02148495991403858 [ Info: [34] train-mlogloss:0.02135078784699241 [ Info: [35] train-mlogloss:0.02122971441286306 [ Info: [36] train-mlogloss:0.02112026001016299 [ Info: [37] train-mlogloss:0.02101653638606270 [ Info: [38] train-mlogloss:0.02093311239033938 [ Info: [39] train-mlogloss:0.02085530746107300 [ Info: [40] train-mlogloss:0.02077670961928864 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49164305130640668 [ Info: [2] train-mlogloss:0.28265752514203391 [ Info: [3] train-mlogloss:0.17605344295501710 [ Info: [4] train-mlogloss:0.11886555035909017 [ Info: [5] train-mlogloss:0.08490558306376139 [ Info: [6] train-mlogloss:0.06381433881819248 [ Info: [7] train-mlogloss:0.05105367953578631 [ Info: [8] train-mlogloss:0.04272167678922414 [ Info: [9] train-mlogloss:0.03649737683435281 [ Info: [10] train-mlogloss:0.03485003522286812 [ Info: [11] train-mlogloss:0.03223164117584626 [ Info: [12] train-mlogloss:0.03086822553227345 [ Info: [13] train-mlogloss:0.02976114863529801 [ Info: [14] train-mlogloss:0.02807447483763099 [ Info: [15] train-mlogloss:0.02704904388015469 [ Info: [16] train-mlogloss:0.02603529471283158 [ Info: [17] train-mlogloss:0.02528721562897166 [ Info: [18] train-mlogloss:0.02450716418524583 [ Info: [19] train-mlogloss:0.02384904724856218 [ Info: [20] train-mlogloss:0.02331095726539691 [ Info: [21] train-mlogloss:0.02280359617744883 [ Info: [22] train-mlogloss:0.02254638696710269 [ Info: [23] train-mlogloss:0.02232750971491138 [ Info: [24] train-mlogloss:0.02212793817433218 [ Info: [25] train-mlogloss:0.02192135466262698 [ Info: [26] train-mlogloss:0.02177872200496495 [ Info: [27] train-mlogloss:0.02166068233549595 [ Info: [28] train-mlogloss:0.02154106933313112 [ Info: [29] train-mlogloss:0.02143839291296899 [ Info: [30] train-mlogloss:0.02133068768307567 [ Info: [31] train-mlogloss:0.02123996659182012 [ Info: [32] train-mlogloss:0.02114287611717979 [ Info: [33] train-mlogloss:0.02106193817531069 [ Info: [34] train-mlogloss:0.02097420906958481 [ Info: [35] train-mlogloss:0.02090141710204383 [ Info: [36] train-mlogloss:0.02082198071603974 [ Info: [37] train-mlogloss:0.02075611002122362 [ Info: [38] train-mlogloss:0.02068395761462549 [ Info: [39] train-mlogloss:0.02062404335786899 [ Info: [40] train-mlogloss:0.02055831957608461 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97302456061045328 [ Info: [2] train-mlogloss:0.86704392035802202 [ Info: [3] train-mlogloss:0.77644741217295332 [ Info: [4] train-mlogloss:0.69826546033223469 [ Info: [5] train-mlogloss:0.63031760851542151 [ Info: [6] train-mlogloss:0.57090506076812741 [ Info: [7] train-mlogloss:0.51869650244712828 [ Info: [8] train-mlogloss:0.47262757857640586 [ Info: [9] train-mlogloss:0.43183308164278666 [ Info: [10] train-mlogloss:0.39560037930806480 [ Info: [11] train-mlogloss:0.36333538373311358 [ Info: [12] train-mlogloss:0.33453782836596169 [ Info: [13] train-mlogloss:0.30842480222384133 [ Info: [14] train-mlogloss:0.28508646945158639 [ Info: [15] train-mlogloss:0.26326279322306317 [ Info: [16] train-mlogloss:0.24357214351495107 [ Info: [17] train-mlogloss:0.22577662229537965 [ Info: [18] train-mlogloss:0.20971150437990824 [ Info: [19] train-mlogloss:0.19505378842353821 [ Info: [20] train-mlogloss:0.18174975434939067 [ Info: [21] train-mlogloss:0.16948710838953654 [ Info: [22] train-mlogloss:0.15867499023675918 [ Info: [23] train-mlogloss:0.14845845381418865 [ Info: [24] train-mlogloss:0.13941102792819340 [ Info: [25] train-mlogloss:0.13106777439514797 [ Info: [26] train-mlogloss:0.12322881708542506 [ Info: [27] train-mlogloss:0.11605596452951432 [ Info: [28] train-mlogloss:0.10950631280740102 [ Info: [29] train-mlogloss:0.10349261005719503 [ Info: [30] train-mlogloss:0.09792742222547531 [ Info: [31] train-mlogloss:0.09275272195537886 [ Info: [32] train-mlogloss:0.08800507913033168 [ Info: [33] train-mlogloss:0.08362835218509038 [ Info: [34] train-mlogloss:0.07959489494562150 [ Info: [35] train-mlogloss:0.07598791316151619 [ Info: [36] train-mlogloss:0.07250442753235499 [ Info: [37] train-mlogloss:0.06925678297877312 [ Info: [38] train-mlogloss:0.06623505329092344 [ Info: [39] train-mlogloss:0.06344969642659028 [ Info: [40] train-mlogloss:0.06110112674534321 [ Info: [41] train-mlogloss:0.05883561802407106 [ Info: [42] train-mlogloss:0.05676911922792593 [ Info: [43] train-mlogloss:0.05484789527952671 [ Info: [44] train-mlogloss:0.05301689681907495 [ Info: [45] train-mlogloss:0.05145031777520975 [ Info: [46] train-mlogloss:0.04988560110330582 [ Info: [47] train-mlogloss:0.04848655730485916 [ Info: [48] train-mlogloss:0.04708944367865722 [ Info: [49] train-mlogloss:0.04582209425667922 [ Info: [50] train-mlogloss:0.04457037061452866 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85691887219746909 [ Info: [2] train-mlogloss:0.68550010681152340 [ Info: [3] train-mlogloss:0.55805636723836261 [ Info: [4] train-mlogloss:0.46072633544603986 [ Info: [5] train-mlogloss:0.38498581091562906 [ Info: [6] train-mlogloss:0.32459664384524028 [ Info: [7] train-mlogloss:0.27508811851342518 [ Info: [8] train-mlogloss:0.23503393073876699 [ Info: [9] train-mlogloss:0.20320686062177024 [ Info: [10] train-mlogloss:0.17608785708745320 [ Info: [11] train-mlogloss:0.15394976923863093 [ Info: [12] train-mlogloss:0.13564451187849044 [ Info: [13] train-mlogloss:0.12016138444344203 [ Info: [14] train-mlogloss:0.10645019302765528 [ Info: [15] train-mlogloss:0.09522169103225073 [ Info: [16] train-mlogloss:0.08559988270203273 [ Info: [17] train-mlogloss:0.07744047080477079 [ Info: [18] train-mlogloss:0.07048138772447904 [ Info: [19] train-mlogloss:0.06435968190431594 [ Info: [20] train-mlogloss:0.05938757893939813 [ Info: [21] train-mlogloss:0.05525584648052851 [ Info: [22] train-mlogloss:0.05188647858798504 [ Info: [23] train-mlogloss:0.04879436574876309 [ Info: [24] train-mlogloss:0.04611181100209554 [ Info: [25] train-mlogloss:0.04364558798571427 [ Info: [26] train-mlogloss:0.04119412481784820 [ Info: [27] train-mlogloss:0.03969524669150511 [ Info: [28] train-mlogloss:0.03896675149599711 [ Info: [29] train-mlogloss:0.03789265924443801 [ Info: [30] train-mlogloss:0.03722347034762303 [ Info: [31] train-mlogloss:0.03658846564590931 [ Info: [32] train-mlogloss:0.03569666267683109 [ Info: [33] train-mlogloss:0.03515992073963086 [ Info: [34] train-mlogloss:0.03429146877179543 [ Info: [35] train-mlogloss:0.03379975325117508 [ Info: [36] train-mlogloss:0.03329637254277865 [ Info: [37] train-mlogloss:0.03255233188470204 [ Info: [38] train-mlogloss:0.03209847860038281 [ Info: [39] train-mlogloss:0.03167033365617196 [ Info: [40] train-mlogloss:0.03123812810828288 [ Info: [41] train-mlogloss:0.03083928421139717 [ Info: [42] train-mlogloss:0.03020529209946593 [ Info: [43] train-mlogloss:0.02982725026085973 [ Info: [44] train-mlogloss:0.02944557666157683 [ Info: [45] train-mlogloss:0.02908622063075503 [ Info: [46] train-mlogloss:0.02873858671014507 [ Info: [47] train-mlogloss:0.02840831606338421 [ Info: [48] train-mlogloss:0.02807031471903125 [ Info: [49] train-mlogloss:0.02774744806811213 [ Info: [50] train-mlogloss:0.02744346713026365 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75066068808237707 [ Info: [2] train-mlogloss:0.54389880657196044 [ Info: [3] train-mlogloss:0.40846127390861509 [ Info: [4] train-mlogloss:0.31240529457728067 [ Info: [5] train-mlogloss:0.24420380254586538 [ Info: [6] train-mlogloss:0.19538388828436534 [ Info: [7] train-mlogloss:0.15814771125713983 [ Info: [8] train-mlogloss:0.13042622745037080 [ Info: [9] train-mlogloss:0.10904894113540649 [ Info: [10] train-mlogloss:0.09198306540648142 [ Info: [11] train-mlogloss:0.07855534662803014 [ Info: [12] train-mlogloss:0.06803815260529518 [ Info: [13] train-mlogloss:0.05943990978101889 [ Info: [14] train-mlogloss:0.05342488065361976 [ Info: [15] train-mlogloss:0.04860954488317171 [ Info: [16] train-mlogloss:0.04474703657130400 [ Info: [17] train-mlogloss:0.04114378850907088 [ Info: [18] train-mlogloss:0.03941644952942928 [ Info: [19] train-mlogloss:0.03785293083637953 [ Info: [20] train-mlogloss:0.03683099384109179 [ Info: [21] train-mlogloss:0.03583139657974243 [ Info: [22] train-mlogloss:0.03445843248317639 [ Info: [23] train-mlogloss:0.03361107890804609 [ Info: [24] train-mlogloss:0.03287481675545374 [ Info: [25] train-mlogloss:0.03217788651585579 [ Info: [26] train-mlogloss:0.03153846234083175 [ Info: [27] train-mlogloss:0.03045646714667479 [ Info: [28] train-mlogloss:0.02988170697043339 [ Info: [29] train-mlogloss:0.02932456294695536 [ Info: [30] train-mlogloss:0.02845207699884971 [ Info: [31] train-mlogloss:0.02794700049484769 [ Info: [32] train-mlogloss:0.02742236624782284 [ Info: [33] train-mlogloss:0.02696587317933639 [ Info: [34] train-mlogloss:0.02653242968022823 [ Info: [35] train-mlogloss:0.02610848288362225 [ Info: [36] train-mlogloss:0.02572640494133035 [ Info: [37] train-mlogloss:0.02532707891737421 [ Info: [38] train-mlogloss:0.02495797113204996 [ Info: [39] train-mlogloss:0.02461806034669280 [ Info: [40] train-mlogloss:0.02427446371565262 [ Info: [41] train-mlogloss:0.02396773003662626 [ Info: [42] train-mlogloss:0.02365870643407107 [ Info: [43] train-mlogloss:0.02337132753183444 [ Info: [44] train-mlogloss:0.02310749255120754 [ Info: [45] train-mlogloss:0.02286454418053230 [ Info: [46] train-mlogloss:0.02274519495666027 [ Info: [47] train-mlogloss:0.02261927327141166 [ Info: [48] train-mlogloss:0.02250162440973024 [ Info: [49] train-mlogloss:0.02239294939053555 [ Info: [50] train-mlogloss:0.02227822086463372 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65442130406697596 [ Info: [2] train-mlogloss:0.43391192197799683 [ Info: [3] train-mlogloss:0.30111801306406655 [ Info: [4] train-mlogloss:0.21722111721833548 [ Info: [5] train-mlogloss:0.16314360400040945 [ Info: [6] train-mlogloss:0.12581615825494130 [ Info: [7] train-mlogloss:0.09949340899785360 [ Info: [8] train-mlogloss:0.08063015744090080 [ Info: [9] train-mlogloss:0.06600155517458915 [ Info: [10] train-mlogloss:0.05535355590283871 [ Info: [11] train-mlogloss:0.04828691477576891 [ Info: [12] train-mlogloss:0.04311524762461583 [ Info: [13] train-mlogloss:0.03856660377234220 [ Info: [14] train-mlogloss:0.03714328363537788 [ Info: [15] train-mlogloss:0.03513777002692223 [ Info: [16] train-mlogloss:0.03401512559503317 [ Info: [17] train-mlogloss:0.03303896524012088 [ Info: [18] train-mlogloss:0.03149194883803526 [ Info: [19] train-mlogloss:0.03063213005041083 [ Info: [20] train-mlogloss:0.02984790901963909 [ Info: [21] train-mlogloss:0.02904178289696574 [ Info: [22] train-mlogloss:0.02792737610638142 [ Info: [23] train-mlogloss:0.02728015705322226 [ Info: [24] train-mlogloss:0.02664971842120091 [ Info: [25] train-mlogloss:0.02609941229224205 [ Info: [26] train-mlogloss:0.02553408818319440 [ Info: [27] train-mlogloss:0.02502500739569465 [ Info: [28] train-mlogloss:0.02455986580501000 [ Info: [29] train-mlogloss:0.02408330015838146 [ Info: [30] train-mlogloss:0.02367612674211462 [ Info: [31] train-mlogloss:0.02325640698894858 [ Info: [32] train-mlogloss:0.02287779927874605 [ Info: [33] train-mlogloss:0.02268565882618229 [ Info: [34] train-mlogloss:0.02251099551717440 [ Info: [35] train-mlogloss:0.02232634678483009 [ Info: [36] train-mlogloss:0.02215807484462857 [ Info: [37] train-mlogloss:0.02200409781187773 [ Info: [38] train-mlogloss:0.02184154571344455 [ Info: [39] train-mlogloss:0.02169313710493346 [ Info: [40] train-mlogloss:0.02155642381248375 [ Info: [41] train-mlogloss:0.02141246546680729 [ Info: [42] train-mlogloss:0.02128079575796922 [ Info: [43] train-mlogloss:0.02115876342790822 [ Info: [44] train-mlogloss:0.02103062341300150 [ Info: [45] train-mlogloss:0.02091313363052905 [ Info: [46] train-mlogloss:0.02082404297466079 [ Info: [47] train-mlogloss:0.02074003871840735 [ Info: [48] train-mlogloss:0.02066879248246551 [ Info: [49] train-mlogloss:0.02059487931740781 [ Info: [50] train-mlogloss:0.02053439862094819 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56816325028737391 [ Info: [2] train-mlogloss:0.34866005539894102 [ Info: [3] train-mlogloss:0.22809416055679321 [ Info: [4] train-mlogloss:0.15781701286633809 [ Info: [5] train-mlogloss:0.11415132174889246 [ Info: [6] train-mlogloss:0.08634604478875796 [ Info: [7] train-mlogloss:0.06747745772202809 [ Info: [8] train-mlogloss:0.05520015401144823 [ Info: [9] train-mlogloss:0.04723363384604454 [ Info: [10] train-mlogloss:0.04068537725756566 [ Info: [11] train-mlogloss:0.03719213613619407 [ Info: [12] train-mlogloss:0.03472418840974569 [ Info: [13] train-mlogloss:0.03321778062731028 [ Info: [14] train-mlogloss:0.03205094849069913 [ Info: [15] train-mlogloss:0.03103753025333087 [ Info: [16] train-mlogloss:0.02936544305955370 [ Info: [17] train-mlogloss:0.02838512723023693 [ Info: [18] train-mlogloss:0.02756198078393936 [ Info: [19] train-mlogloss:0.02668018191431959 [ Info: [20] train-mlogloss:0.02592759915937980 [ Info: [21] train-mlogloss:0.02527049299950401 [ Info: [22] train-mlogloss:0.02460256640488903 [ Info: [23] train-mlogloss:0.02402798080816865 [ Info: [24] train-mlogloss:0.02353469275558988 [ Info: [25] train-mlogloss:0.02312209584439794 [ Info: [26] train-mlogloss:0.02271775413925449 [ Info: [27] train-mlogloss:0.02250666577989856 [ Info: [28] train-mlogloss:0.02232153624917070 [ Info: [29] train-mlogloss:0.02213611244534453 [ Info: [30] train-mlogloss:0.02195740997170409 [ Info: [31] train-mlogloss:0.02180541624315083 [ Info: [32] train-mlogloss:0.02163505025518437 [ Info: [33] train-mlogloss:0.02148495991403858 [ Info: [34] train-mlogloss:0.02135078784699241 [ Info: [35] train-mlogloss:0.02122971441286306 [ Info: [36] train-mlogloss:0.02112026001016299 [ Info: [37] train-mlogloss:0.02101653638606270 [ Info: [38] train-mlogloss:0.02093311239033938 [ Info: [39] train-mlogloss:0.02085530746107300 [ Info: [40] train-mlogloss:0.02077670961928864 [ Info: [41] train-mlogloss:0.02071470924653113 [ Info: [42] train-mlogloss:0.02066854497728248 [ Info: [43] train-mlogloss:0.02063286269394060 [ Info: [44] train-mlogloss:0.02060505885320405 [ Info: [45] train-mlogloss:0.02058320776248972 [ Info: [46] train-mlogloss:0.02056590554304421 [ Info: [47] train-mlogloss:0.02049940718337893 [ Info: [48] train-mlogloss:0.02048227443359792 [ Info: [49] train-mlogloss:0.02046346855970721 [ Info: [50] train-mlogloss:0.02044644197759529 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49164305130640668 [ Info: [2] train-mlogloss:0.28265752514203391 [ Info: [3] train-mlogloss:0.17605344295501710 [ Info: [4] train-mlogloss:0.11886555035909017 [ Info: [5] train-mlogloss:0.08490558306376139 [ Info: [6] train-mlogloss:0.06381433881819248 [ Info: [7] train-mlogloss:0.05105367953578631 [ Info: [8] train-mlogloss:0.04272167678922414 [ Info: [9] train-mlogloss:0.03649737683435281 [ Info: [10] train-mlogloss:0.03485003522286812 [ Info: [11] train-mlogloss:0.03223164117584626 [ Info: [12] train-mlogloss:0.03086822553227345 [ Info: [13] train-mlogloss:0.02976114863529801 [ Info: [14] train-mlogloss:0.02807447483763099 [ Info: [15] train-mlogloss:0.02704904388015469 [ Info: [16] train-mlogloss:0.02603529471283158 [ Info: [17] train-mlogloss:0.02528721562897166 [ Info: [18] train-mlogloss:0.02450716418524583 [ Info: [19] train-mlogloss:0.02384904724856218 [ Info: [20] train-mlogloss:0.02331095726539691 [ Info: [21] train-mlogloss:0.02280359617744883 [ Info: [22] train-mlogloss:0.02254638696710269 [ Info: [23] train-mlogloss:0.02232750971491138 [ Info: [24] train-mlogloss:0.02212793817433218 [ Info: [25] train-mlogloss:0.02192135466262698 [ Info: [26] train-mlogloss:0.02177872200496495 [ Info: [27] train-mlogloss:0.02166068233549595 [ Info: [28] train-mlogloss:0.02154106933313112 [ Info: [29] train-mlogloss:0.02143839291296899 [ Info: [30] train-mlogloss:0.02133068768307567 [ Info: [31] train-mlogloss:0.02123996659182012 [ Info: [32] train-mlogloss:0.02114287611717979 [ Info: [33] train-mlogloss:0.02106193817531069 [ Info: [34] train-mlogloss:0.02097420906958481 [ Info: [35] train-mlogloss:0.02090141710204383 [ Info: [36] train-mlogloss:0.02082198071603974 [ Info: [37] train-mlogloss:0.02075611002122362 [ Info: [38] train-mlogloss:0.02068395761462549 [ Info: [39] train-mlogloss:0.02062404335786899 [ Info: [40] train-mlogloss:0.02055831957608461 [ Info: [41] train-mlogloss:0.02050359598360956 [ Info: [42] train-mlogloss:0.02044359237266084 [ Info: [43] train-mlogloss:0.02039343083277345 [ Info: [44] train-mlogloss:0.02033839888560275 [ Info: [45] train-mlogloss:0.02029222548318406 [ Info: [46] train-mlogloss:0.02024170471976201 [ Info: [47] train-mlogloss:0.02020517959104230 [ Info: [48] train-mlogloss:0.02017844284574191 [ Info: [49] train-mlogloss:0.02015859459216396 [ Info: [50] train-mlogloss:0.02014369297927866 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97532990694046018 [ Info: [2] train-mlogloss:0.86885949452718103 [ Info: [3] train-mlogloss:0.77785742521286005 [ Info: [4] train-mlogloss:0.69936304171880082 [ Info: [5] train-mlogloss:0.63115420262018840 [ Info: [6] train-mlogloss:0.57151909271876022 [ Info: [7] train-mlogloss:0.51911091049512226 [ Info: [8] train-mlogloss:0.47287209828694660 [ Info: [9] train-mlogloss:0.43187544186909993 [ Info: [10] train-mlogloss:0.39543208320935569 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86116367657979331 [ Info: [2] train-mlogloss:0.68789780219395957 [ Info: [3] train-mlogloss:0.55941619078318283 [ Info: [4] train-mlogloss:0.46134732484817503 [ Info: [5] train-mlogloss:0.38485558430353800 [ Info: [6] train-mlogloss:0.32442632993062337 [ Info: [7] train-mlogloss:0.27616254210472108 [ Info: [8] train-mlogloss:0.23728154778480529 [ Info: [9] train-mlogloss:0.20544113616148632 [ Info: [10] train-mlogloss:0.17858938117822012 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75645427385965980 [ Info: [2] train-mlogloss:0.54614540020624791 [ Info: [3] train-mlogloss:0.40907083153724672 [ Info: [4] train-mlogloss:0.31450770854949950 [ Info: [5] train-mlogloss:0.24762753883997599 [ Info: [6] train-mlogloss:0.19894695520401001 [ Info: [7] train-mlogloss:0.15993153234322866 [ Info: [8] train-mlogloss:0.13191020260254541 [ Info: [9] train-mlogloss:0.10919626981019974 [ Info: [10] train-mlogloss:0.09213258057832718 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66136412858963012 [ Info: [2] train-mlogloss:0.43550750732421872 [ Info: [3] train-mlogloss:0.30415248314539589 [ Info: [4] train-mlogloss:0.22187363604704538 [ Info: [5] train-mlogloss:0.16637758314609527 [ Info: [6] train-mlogloss:0.12830457121133804 [ Info: [7] train-mlogloss:0.10111416399478912 [ Info: [8] train-mlogloss:0.08093926767508189 [ Info: [9] train-mlogloss:0.06686508407195409 [ Info: [10] train-mlogloss:0.05613573543727398 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57586425542831421 [ Info: [2] train-mlogloss:0.34896110375722250 [ Info: [3] train-mlogloss:0.23057442486286164 [ Info: [4] train-mlogloss:0.15838053703308105 [ Info: [5] train-mlogloss:0.11315410445133844 [ Info: [6] train-mlogloss:0.08493248944481215 [ Info: [7] train-mlogloss:0.06581697180867195 [ Info: [8] train-mlogloss:0.05381776240964731 [ Info: [9] train-mlogloss:0.04548356778919697 [ Info: [10] train-mlogloss:0.04037592064589262 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49973556558291116 [ Info: [2] train-mlogloss:0.28133072296778361 [ Info: [3] train-mlogloss:0.17778302192687989 [ Info: [4] train-mlogloss:0.11969256699085236 [ Info: [5] train-mlogloss:0.08328628008564314 [ Info: [6] train-mlogloss:0.06094154569009940 [ Info: [7] train-mlogloss:0.04909329098959764 [ Info: [8] train-mlogloss:0.04174265497674545 [ Info: [9] train-mlogloss:0.03802881728857756 [ Info: [10] train-mlogloss:0.03551992325733105 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97532990694046018 [ Info: [2] train-mlogloss:0.86885949452718103 [ Info: [3] train-mlogloss:0.77785742521286005 [ Info: [4] train-mlogloss:0.69936304171880082 [ Info: [5] train-mlogloss:0.63115420262018840 [ Info: [6] train-mlogloss:0.57151909271876022 [ Info: [7] train-mlogloss:0.51911091049512226 [ Info: [8] train-mlogloss:0.47287209828694660 [ Info: [9] train-mlogloss:0.43187544186909993 [ Info: [10] train-mlogloss:0.39543208320935569 [ Info: [11] train-mlogloss:0.36294073581695557 [ Info: [12] train-mlogloss:0.33390597621599832 [ Info: [13] train-mlogloss:0.30790665388107302 [ Info: [14] train-mlogloss:0.28457661112149557 [ Info: [15] train-mlogloss:0.26360112428665161 [ Info: [16] train-mlogloss:0.24468655010064444 [ Info: [17] train-mlogloss:0.22714089115460714 [ Info: [18] train-mlogloss:0.21130719125270844 [ Info: [19] train-mlogloss:0.19665788114070892 [ Info: [20] train-mlogloss:0.18364544332027435 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86116367657979331 [ Info: [2] train-mlogloss:0.68789780219395957 [ Info: [3] train-mlogloss:0.55941619078318283 [ Info: [4] train-mlogloss:0.46134732484817503 [ Info: [5] train-mlogloss:0.38485558430353800 [ Info: [6] train-mlogloss:0.32442632993062337 [ Info: [7] train-mlogloss:0.27616254210472108 [ Info: [8] train-mlogloss:0.23728154778480529 [ Info: [9] train-mlogloss:0.20544113616148632 [ Info: [10] train-mlogloss:0.17858938117822012 [ Info: [11] train-mlogloss:0.15512391914923987 [ Info: [12] train-mlogloss:0.13655425409475963 [ Info: [13] train-mlogloss:0.12029184867938360 [ Info: [14] train-mlogloss:0.10714870949586232 [ Info: [15] train-mlogloss:0.09573660194873809 [ Info: [16] train-mlogloss:0.08602030952771504 [ Info: [17] train-mlogloss:0.07786424979567527 [ Info: [18] train-mlogloss:0.07084934398531914 [ Info: [19] train-mlogloss:0.06475419054428737 [ Info: [20] train-mlogloss:0.05980990014970303 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75645427385965980 [ Info: [2] train-mlogloss:0.54614540020624791 [ Info: [3] train-mlogloss:0.40907083153724672 [ Info: [4] train-mlogloss:0.31450770854949950 [ Info: [5] train-mlogloss:0.24762753883997599 [ Info: [6] train-mlogloss:0.19894695520401001 [ Info: [7] train-mlogloss:0.15993153234322866 [ Info: [8] train-mlogloss:0.13191020260254541 [ Info: [9] train-mlogloss:0.10919626981019974 [ Info: [10] train-mlogloss:0.09213258057832718 [ Info: [11] train-mlogloss:0.07898738880952200 [ Info: [12] train-mlogloss:0.06815251568953196 [ Info: [13] train-mlogloss:0.05980481815834840 [ Info: [14] train-mlogloss:0.05356285274028778 [ Info: [15] train-mlogloss:0.04898831362525622 [ Info: [16] train-mlogloss:0.04488630535701910 [ Info: [17] train-mlogloss:0.04164698747297128 [ Info: [18] train-mlogloss:0.04031641677021981 [ Info: [19] train-mlogloss:0.03922740445782741 [ Info: [20] train-mlogloss:0.03831484187394381 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66136412858963012 [ Info: [2] train-mlogloss:0.43550750732421872 [ Info: [3] train-mlogloss:0.30415248314539589 [ Info: [4] train-mlogloss:0.22187363604704538 [ Info: [5] train-mlogloss:0.16637758314609527 [ Info: [6] train-mlogloss:0.12830457121133804 [ Info: [7] train-mlogloss:0.10111416399478912 [ Info: [8] train-mlogloss:0.08093926767508189 [ Info: [9] train-mlogloss:0.06686508407195409 [ Info: [10] train-mlogloss:0.05613573543727398 [ Info: [11] train-mlogloss:0.04965762553115686 [ Info: [12] train-mlogloss:0.04420464600125949 [ Info: [13] train-mlogloss:0.04011015041420857 [ Info: [14] train-mlogloss:0.03818236141155163 [ Info: [15] train-mlogloss:0.03660357082883517 [ Info: [16] train-mlogloss:0.03549721111853917 [ Info: [17] train-mlogloss:0.03449140857905150 [ Info: [18] train-mlogloss:0.03280816068251928 [ Info: [19] train-mlogloss:0.03163870330899954 [ Info: [20] train-mlogloss:0.03093484256416559 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57586425542831421 [ Info: [2] train-mlogloss:0.34896110375722250 [ Info: [3] train-mlogloss:0.23057442486286164 [ Info: [4] train-mlogloss:0.15838053703308105 [ Info: [5] train-mlogloss:0.11315410445133844 [ Info: [6] train-mlogloss:0.08493248944481215 [ Info: [7] train-mlogloss:0.06581697180867195 [ Info: [8] train-mlogloss:0.05381776240964731 [ Info: [9] train-mlogloss:0.04548356778919697 [ Info: [10] train-mlogloss:0.04037592064589262 [ Info: [11] train-mlogloss:0.03815498641381661 [ Info: [12] train-mlogloss:0.03665498182177544 [ Info: [13] train-mlogloss:0.03523289779822032 [ Info: [14] train-mlogloss:0.03344429975996415 [ Info: [15] train-mlogloss:0.03247212278967102 [ Info: [16] train-mlogloss:0.03128934990614653 [ Info: [17] train-mlogloss:0.03037712406367064 [ Info: [18] train-mlogloss:0.02956954595322410 [ Info: [19] train-mlogloss:0.02886947915578882 [ Info: [20] train-mlogloss:0.02824141149098675 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49973556558291116 [ Info: [2] train-mlogloss:0.28133072296778361 [ Info: [3] train-mlogloss:0.17778302192687989 [ Info: [4] train-mlogloss:0.11969256699085236 [ Info: [5] train-mlogloss:0.08328628008564314 [ Info: [6] train-mlogloss:0.06094154569009940 [ Info: [7] train-mlogloss:0.04909329098959764 [ Info: [8] train-mlogloss:0.04174265497674545 [ Info: [9] train-mlogloss:0.03802881728857756 [ Info: [10] train-mlogloss:0.03551992325733105 [ Info: [11] train-mlogloss:0.03377287512024243 [ Info: [12] train-mlogloss:0.03222993562618891 [ Info: [13] train-mlogloss:0.03117765813445051 [ Info: [14] train-mlogloss:0.03008721814801295 [ Info: [15] train-mlogloss:0.02908595506722728 [ Info: [16] train-mlogloss:0.02831011596446236 [ Info: [17] train-mlogloss:0.02754087038959066 [ Info: [18] train-mlogloss:0.02684442159409324 [ Info: [19] train-mlogloss:0.02617259989803036 [ Info: [20] train-mlogloss:0.02559185668826103 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97532990694046018 [ Info: [2] train-mlogloss:0.86885949452718103 [ Info: [3] train-mlogloss:0.77785742521286005 [ Info: [4] train-mlogloss:0.69936304171880082 [ Info: [5] train-mlogloss:0.63115420262018840 [ Info: [6] train-mlogloss:0.57151909271876022 [ Info: [7] train-mlogloss:0.51911091049512226 [ Info: [8] train-mlogloss:0.47287209828694660 [ Info: [9] train-mlogloss:0.43187544186909993 [ Info: [10] train-mlogloss:0.39543208320935569 [ Info: [11] train-mlogloss:0.36294073581695557 [ Info: [12] train-mlogloss:0.33390597621599832 [ Info: [13] train-mlogloss:0.30790665388107302 [ Info: [14] train-mlogloss:0.28457661112149557 [ Info: [15] train-mlogloss:0.26360112428665161 [ Info: [16] train-mlogloss:0.24468655010064444 [ Info: [17] train-mlogloss:0.22714089115460714 [ Info: [18] train-mlogloss:0.21130719125270844 [ Info: [19] train-mlogloss:0.19665788114070892 [ Info: [20] train-mlogloss:0.18364544332027435 [ Info: [21] train-mlogloss:0.17187103033065795 [ Info: [22] train-mlogloss:0.16086638708909354 [ Info: [23] train-mlogloss:0.15030014604330064 [ Info: [24] train-mlogloss:0.14068322747945786 [ Info: [25] train-mlogloss:0.13233427127202352 [ Info: [26] train-mlogloss:0.12431197394927343 [ Info: [27] train-mlogloss:0.11721815884113312 [ Info: [28] train-mlogloss:0.11058281034231186 [ Info: [29] train-mlogloss:0.10462098528941473 [ Info: [30] train-mlogloss:0.09896703789631525 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86116367657979331 [ Info: [2] train-mlogloss:0.68789780219395957 [ Info: [3] train-mlogloss:0.55941619078318283 [ Info: [4] train-mlogloss:0.46134732484817503 [ Info: [5] train-mlogloss:0.38485558430353800 [ Info: [6] train-mlogloss:0.32442632993062337 [ Info: [7] train-mlogloss:0.27616254210472108 [ Info: [8] train-mlogloss:0.23728154778480529 [ Info: [9] train-mlogloss:0.20544113616148632 [ Info: [10] train-mlogloss:0.17858938117822012 [ Info: [11] train-mlogloss:0.15512391914923987 [ Info: [12] train-mlogloss:0.13655425409475963 [ Info: [13] train-mlogloss:0.12029184867938360 [ Info: [14] train-mlogloss:0.10714870949586232 [ Info: [15] train-mlogloss:0.09573660194873809 [ Info: [16] train-mlogloss:0.08602030952771504 [ Info: [17] train-mlogloss:0.07786424979567527 [ Info: [18] train-mlogloss:0.07084934398531914 [ Info: [19] train-mlogloss:0.06475419054428737 [ Info: [20] train-mlogloss:0.05980990014970303 [ Info: [21] train-mlogloss:0.05559473425149918 [ Info: [22] train-mlogloss:0.05225433088839054 [ Info: [23] train-mlogloss:0.04893843623499076 [ Info: [24] train-mlogloss:0.04621893475453059 [ Info: [25] train-mlogloss:0.04391965589175622 [ Info: [26] train-mlogloss:0.04222799253960451 [ Info: [27] train-mlogloss:0.04099911831319332 [ Info: [28] train-mlogloss:0.04012702215462923 [ Info: [29] train-mlogloss:0.03947870274384817 [ Info: [30] train-mlogloss:0.03882747617860635 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75645427385965980 [ Info: [2] train-mlogloss:0.54614540020624791 [ Info: [3] train-mlogloss:0.40907083153724672 [ Info: [4] train-mlogloss:0.31450770854949950 [ Info: [5] train-mlogloss:0.24762753883997599 [ Info: [6] train-mlogloss:0.19894695520401001 [ Info: [7] train-mlogloss:0.15993153234322866 [ Info: [8] train-mlogloss:0.13191020260254541 [ Info: [9] train-mlogloss:0.10919626981019974 [ Info: [10] train-mlogloss:0.09213258057832718 [ Info: [11] train-mlogloss:0.07898738880952200 [ Info: [12] train-mlogloss:0.06815251568953196 [ Info: [13] train-mlogloss:0.05980481815834840 [ Info: [14] train-mlogloss:0.05356285274028778 [ Info: [15] train-mlogloss:0.04898831362525622 [ Info: [16] train-mlogloss:0.04488630535701910 [ Info: [17] train-mlogloss:0.04164698747297128 [ Info: [18] train-mlogloss:0.04031641677021981 [ Info: [19] train-mlogloss:0.03922740445782741 [ Info: [20] train-mlogloss:0.03831484187394381 [ Info: [21] train-mlogloss:0.03714753760645787 [ Info: [22] train-mlogloss:0.03630030029763778 [ Info: [23] train-mlogloss:0.03548780822505553 [ Info: [24] train-mlogloss:0.03480818483978510 [ Info: [25] train-mlogloss:0.03356626229981581 [ Info: [26] train-mlogloss:0.03269221147522330 [ Info: [27] train-mlogloss:0.03205895021557808 [ Info: [28] train-mlogloss:0.03150080802539985 [ Info: [29] train-mlogloss:0.03078343899920583 [ Info: [30] train-mlogloss:0.03032508399337530 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66136412858963012 [ Info: [2] train-mlogloss:0.43550750732421872 [ Info: [3] train-mlogloss:0.30415248314539589 [ Info: [4] train-mlogloss:0.22187363604704538 [ Info: [5] train-mlogloss:0.16637758314609527 [ Info: [6] train-mlogloss:0.12830457121133804 [ Info: [7] train-mlogloss:0.10111416399478912 [ Info: [8] train-mlogloss:0.08093926767508189 [ Info: [9] train-mlogloss:0.06686508407195409 [ Info: [10] train-mlogloss:0.05613573543727398 [ Info: [11] train-mlogloss:0.04965762553115686 [ Info: [12] train-mlogloss:0.04420464600125949 [ Info: [13] train-mlogloss:0.04011015041420857 [ Info: [14] train-mlogloss:0.03818236141155163 [ Info: [15] train-mlogloss:0.03660357082883517 [ Info: [16] train-mlogloss:0.03549721111853917 [ Info: [17] train-mlogloss:0.03449140857905150 [ Info: [18] train-mlogloss:0.03280816068251928 [ Info: [19] train-mlogloss:0.03163870330899954 [ Info: [20] train-mlogloss:0.03093484256416559 [ Info: [21] train-mlogloss:0.03029448912168543 [ Info: [22] train-mlogloss:0.02937322553868095 [ Info: [23] train-mlogloss:0.02854881910607219 [ Info: [24] train-mlogloss:0.02797733876233300 [ Info: [25] train-mlogloss:0.02745591246212522 [ Info: [26] train-mlogloss:0.02699891278520226 [ Info: [27] train-mlogloss:0.02649429601927598 [ Info: [28] train-mlogloss:0.02609233731403947 [ Info: [29] train-mlogloss:0.02572779320180416 [ Info: [30] train-mlogloss:0.02535595743606488 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57586425542831421 [ Info: [2] train-mlogloss:0.34896110375722250 [ Info: [3] train-mlogloss:0.23057442486286164 [ Info: [4] train-mlogloss:0.15838053703308105 [ Info: [5] train-mlogloss:0.11315410445133844 [ Info: [6] train-mlogloss:0.08493248944481215 [ Info: [7] train-mlogloss:0.06581697180867195 [ Info: [8] train-mlogloss:0.05381776240964731 [ Info: [9] train-mlogloss:0.04548356778919697 [ Info: [10] train-mlogloss:0.04037592064589262 [ Info: [11] train-mlogloss:0.03815498641381661 [ Info: [12] train-mlogloss:0.03665498182177544 [ Info: [13] train-mlogloss:0.03523289779822032 [ Info: [14] train-mlogloss:0.03344429975996415 [ Info: [15] train-mlogloss:0.03247212278967102 [ Info: [16] train-mlogloss:0.03128934990614653 [ Info: [17] train-mlogloss:0.03037712406367064 [ Info: [18] train-mlogloss:0.02956954595322410 [ Info: [19] train-mlogloss:0.02886947915578882 [ Info: [20] train-mlogloss:0.02824141149098675 [ Info: [21] train-mlogloss:0.02764065536980828 [ Info: [22] train-mlogloss:0.02707734820122520 [ Info: [23] train-mlogloss:0.02652240305518111 [ Info: [24] train-mlogloss:0.02605815640029808 [ Info: [25] train-mlogloss:0.02560204707396527 [ Info: [26] train-mlogloss:0.02520353632047772 [ Info: [27] train-mlogloss:0.02477433507641157 [ Info: [28] train-mlogloss:0.02440592793126901 [ Info: [29] train-mlogloss:0.02406374284066260 [ Info: [30] train-mlogloss:0.02370470129574339 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49973556558291116 [ Info: [2] train-mlogloss:0.28133072296778361 [ Info: [3] train-mlogloss:0.17778302192687989 [ Info: [4] train-mlogloss:0.11969256699085236 [ Info: [5] train-mlogloss:0.08328628008564314 [ Info: [6] train-mlogloss:0.06094154569009940 [ Info: [7] train-mlogloss:0.04909329098959764 [ Info: [8] train-mlogloss:0.04174265497674545 [ Info: [9] train-mlogloss:0.03802881728857756 [ Info: [10] train-mlogloss:0.03551992325733105 [ Info: [11] train-mlogloss:0.03377287512024243 [ Info: [12] train-mlogloss:0.03222993562618891 [ Info: [13] train-mlogloss:0.03117765813445051 [ Info: [14] train-mlogloss:0.03008721814801295 [ Info: [15] train-mlogloss:0.02908595506722728 [ Info: [16] train-mlogloss:0.02831011596446236 [ Info: [17] train-mlogloss:0.02754087038959066 [ Info: [18] train-mlogloss:0.02684442159409324 [ Info: [19] train-mlogloss:0.02617259989803036 [ Info: [20] train-mlogloss:0.02559185668826103 [ Info: [21] train-mlogloss:0.02508152635457615 [ Info: [22] train-mlogloss:0.02454109572184583 [ Info: [23] train-mlogloss:0.02407094424280028 [ Info: [24] train-mlogloss:0.02367117497138679 [ Info: [25] train-mlogloss:0.02323202954605222 [ Info: [26] train-mlogloss:0.02289439837758740 [ Info: [27] train-mlogloss:0.02268472434021532 [ Info: [28] train-mlogloss:0.02248712808204194 [ Info: [29] train-mlogloss:0.02231814979265134 [ Info: [30] train-mlogloss:0.02219827794780334 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97532990694046018 [ Info: [2] train-mlogloss:0.86885949452718103 [ Info: [3] train-mlogloss:0.77785742521286005 [ Info: [4] train-mlogloss:0.69936304171880082 [ Info: [5] train-mlogloss:0.63115420262018840 [ Info: [6] train-mlogloss:0.57151909271876022 [ Info: [7] train-mlogloss:0.51911091049512226 [ Info: [8] train-mlogloss:0.47287209828694660 [ Info: [9] train-mlogloss:0.43187544186909993 [ Info: [10] train-mlogloss:0.39543208320935569 [ Info: [11] train-mlogloss:0.36294073581695557 [ Info: [12] train-mlogloss:0.33390597621599832 [ Info: [13] train-mlogloss:0.30790665388107302 [ Info: [14] train-mlogloss:0.28457661112149557 [ Info: [15] train-mlogloss:0.26360112428665161 [ Info: [16] train-mlogloss:0.24468655010064444 [ Info: [17] train-mlogloss:0.22714089115460714 [ Info: [18] train-mlogloss:0.21130719125270844 [ Info: [19] train-mlogloss:0.19665788114070892 [ Info: [20] train-mlogloss:0.18364544332027435 [ Info: [21] train-mlogloss:0.17187103033065795 [ Info: [22] train-mlogloss:0.16086638708909354 [ Info: [23] train-mlogloss:0.15030014604330064 [ Info: [24] train-mlogloss:0.14068322747945786 [ Info: [25] train-mlogloss:0.13233427127202352 [ Info: [26] train-mlogloss:0.12431197394927343 [ Info: [27] train-mlogloss:0.11721815884113312 [ Info: [28] train-mlogloss:0.11058281034231186 [ Info: [29] train-mlogloss:0.10462098528941473 [ Info: [30] train-mlogloss:0.09896703789631525 [ Info: [31] train-mlogloss:0.09380871047576268 [ Info: [32] train-mlogloss:0.08922584926088652 [ Info: [33] train-mlogloss:0.08486793860793114 [ Info: [34] train-mlogloss:0.08035716583331426 [ Info: [35] train-mlogloss:0.07620075106620788 [ Info: [36] train-mlogloss:0.07287140692273776 [ Info: [37] train-mlogloss:0.06978847851355871 [ Info: [38] train-mlogloss:0.06672535528739293 [ Info: [39] train-mlogloss:0.06377633951604367 [ Info: [40] train-mlogloss:0.06131098908682664 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86116367657979331 [ Info: [2] train-mlogloss:0.68789780219395957 [ Info: [3] train-mlogloss:0.55941619078318283 [ Info: [4] train-mlogloss:0.46134732484817503 [ Info: [5] train-mlogloss:0.38485558430353800 [ Info: [6] train-mlogloss:0.32442632993062337 [ Info: [7] train-mlogloss:0.27616254210472108 [ Info: [8] train-mlogloss:0.23728154778480529 [ Info: [9] train-mlogloss:0.20544113616148632 [ Info: [10] train-mlogloss:0.17858938117822012 [ Info: [11] train-mlogloss:0.15512391914923987 [ Info: [12] train-mlogloss:0.13655425409475963 [ Info: [13] train-mlogloss:0.12029184867938360 [ Info: [14] train-mlogloss:0.10714870949586232 [ Info: [15] train-mlogloss:0.09573660194873809 [ Info: [16] train-mlogloss:0.08602030952771504 [ Info: [17] train-mlogloss:0.07786424979567527 [ Info: [18] train-mlogloss:0.07084934398531914 [ Info: [19] train-mlogloss:0.06475419054428737 [ Info: [20] train-mlogloss:0.05980990014970303 [ Info: [21] train-mlogloss:0.05559473425149918 [ Info: [22] train-mlogloss:0.05225433088839054 [ Info: [23] train-mlogloss:0.04893843623499076 [ Info: [24] train-mlogloss:0.04621893475453059 [ Info: [25] train-mlogloss:0.04391965589175622 [ Info: [26] train-mlogloss:0.04222799253960451 [ Info: [27] train-mlogloss:0.04099911831319332 [ Info: [28] train-mlogloss:0.04012702215462923 [ Info: [29] train-mlogloss:0.03947870274384817 [ Info: [30] train-mlogloss:0.03882747617860635 [ Info: [31] train-mlogloss:0.03820100940763951 [ Info: [32] train-mlogloss:0.03764310726275047 [ Info: [33] train-mlogloss:0.03705646031846603 [ Info: [34] train-mlogloss:0.03617347047974666 [ Info: [35] train-mlogloss:0.03562883425503969 [ Info: [36] train-mlogloss:0.03499238892147939 [ Info: [37] train-mlogloss:0.03454819413522879 [ Info: [38] train-mlogloss:0.03372750220199426 [ Info: [39] train-mlogloss:0.03326468580712875 [ Info: [40] train-mlogloss:0.03285491740331054 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75645427385965980 [ Info: [2] train-mlogloss:0.54614540020624791 [ Info: [3] train-mlogloss:0.40907083153724672 [ Info: [4] train-mlogloss:0.31450770854949950 [ Info: [5] train-mlogloss:0.24762753883997599 [ Info: [6] train-mlogloss:0.19894695520401001 [ Info: [7] train-mlogloss:0.15993153234322866 [ Info: [8] train-mlogloss:0.13191020260254541 [ Info: [9] train-mlogloss:0.10919626981019974 [ Info: [10] train-mlogloss:0.09213258057832718 [ Info: [11] train-mlogloss:0.07898738880952200 [ Info: [12] train-mlogloss:0.06815251568953196 [ Info: [13] train-mlogloss:0.05980481815834840 [ Info: [14] train-mlogloss:0.05356285274028778 [ Info: [15] train-mlogloss:0.04898831362525622 [ Info: [16] train-mlogloss:0.04488630535701910 [ Info: [17] train-mlogloss:0.04164698747297128 [ Info: [18] train-mlogloss:0.04031641677021981 [ Info: [19] train-mlogloss:0.03922740445782741 [ Info: [20] train-mlogloss:0.03831484187394381 [ Info: [21] train-mlogloss:0.03714753760645787 [ Info: [22] train-mlogloss:0.03630030029763778 [ Info: [23] train-mlogloss:0.03548780822505553 [ Info: [24] train-mlogloss:0.03480818483978510 [ Info: [25] train-mlogloss:0.03356626229981581 [ Info: [26] train-mlogloss:0.03269221147522330 [ Info: [27] train-mlogloss:0.03205895021557808 [ Info: [28] train-mlogloss:0.03150080802539985 [ Info: [29] train-mlogloss:0.03078343899920583 [ Info: [30] train-mlogloss:0.03032508399337530 [ Info: [31] train-mlogloss:0.02967156980186701 [ Info: [32] train-mlogloss:0.02910272463535269 [ Info: [33] train-mlogloss:0.02870768699795008 [ Info: [34] train-mlogloss:0.02831055224562685 [ Info: [35] train-mlogloss:0.02794989458595713 [ Info: [36] train-mlogloss:0.02759569608916839 [ Info: [37] train-mlogloss:0.02726838374510408 [ Info: [38] train-mlogloss:0.02695709215477109 [ Info: [39] train-mlogloss:0.02665920558075110 [ Info: [40] train-mlogloss:0.02637939515834054 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66136412858963012 [ Info: [2] train-mlogloss:0.43550750732421872 [ Info: [3] train-mlogloss:0.30415248314539589 [ Info: [4] train-mlogloss:0.22187363604704538 [ Info: [5] train-mlogloss:0.16637758314609527 [ Info: [6] train-mlogloss:0.12830457121133804 [ Info: [7] train-mlogloss:0.10111416399478912 [ Info: [8] train-mlogloss:0.08093926767508189 [ Info: [9] train-mlogloss:0.06686508407195409 [ Info: [10] train-mlogloss:0.05613573543727398 [ Info: [11] train-mlogloss:0.04965762553115686 [ Info: [12] train-mlogloss:0.04420464600125949 [ Info: [13] train-mlogloss:0.04011015041420857 [ Info: [14] train-mlogloss:0.03818236141155163 [ Info: [15] train-mlogloss:0.03660357082883517 [ Info: [16] train-mlogloss:0.03549721111853917 [ Info: [17] train-mlogloss:0.03449140857905150 [ Info: [18] train-mlogloss:0.03280816068251928 [ Info: [19] train-mlogloss:0.03163870330899954 [ Info: [20] train-mlogloss:0.03093484256416559 [ Info: [21] train-mlogloss:0.03029448912168543 [ Info: [22] train-mlogloss:0.02937322553868095 [ Info: [23] train-mlogloss:0.02854881910607219 [ Info: [24] train-mlogloss:0.02797733876233300 [ Info: [25] train-mlogloss:0.02745591246212522 [ Info: [26] train-mlogloss:0.02699891278520226 [ Info: [27] train-mlogloss:0.02649429601927598 [ Info: [28] train-mlogloss:0.02609233731403947 [ Info: [29] train-mlogloss:0.02572779320180416 [ Info: [30] train-mlogloss:0.02535595743606488 [ Info: [31] train-mlogloss:0.02502405970978240 [ Info: [32] train-mlogloss:0.02471404364022116 [ Info: [33] train-mlogloss:0.02439945866353810 [ Info: [34] train-mlogloss:0.02412057990518709 [ Info: [35] train-mlogloss:0.02382581922846536 [ Info: [36] train-mlogloss:0.02362996399713059 [ Info: [37] train-mlogloss:0.02347923832945526 [ Info: [38] train-mlogloss:0.02337197484448552 [ Info: [39] train-mlogloss:0.02326824998483062 [ Info: [40] train-mlogloss:0.02315941023329894 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57586425542831421 [ Info: [2] train-mlogloss:0.34896110375722250 [ Info: [3] train-mlogloss:0.23057442486286164 [ Info: [4] train-mlogloss:0.15838053703308105 [ Info: [5] train-mlogloss:0.11315410445133844 [ Info: [6] train-mlogloss:0.08493248944481215 [ Info: [7] train-mlogloss:0.06581697180867195 [ Info: [8] train-mlogloss:0.05381776240964731 [ Info: [9] train-mlogloss:0.04548356778919697 [ Info: [10] train-mlogloss:0.04037592064589262 [ Info: [11] train-mlogloss:0.03815498641381661 [ Info: [12] train-mlogloss:0.03665498182177544 [ Info: [13] train-mlogloss:0.03523289779822032 [ Info: [14] train-mlogloss:0.03344429975996415 [ Info: [15] train-mlogloss:0.03247212278967102 [ Info: [16] train-mlogloss:0.03128934990614653 [ Info: [17] train-mlogloss:0.03037712406367064 [ Info: [18] train-mlogloss:0.02956954595322410 [ Info: [19] train-mlogloss:0.02886947915578882 [ Info: [20] train-mlogloss:0.02824141149098675 [ Info: [21] train-mlogloss:0.02764065536980828 [ Info: [22] train-mlogloss:0.02707734820122520 [ Info: [23] train-mlogloss:0.02652240305518111 [ Info: [24] train-mlogloss:0.02605815640029808 [ Info: [25] train-mlogloss:0.02560204707396527 [ Info: [26] train-mlogloss:0.02520353632047772 [ Info: [27] train-mlogloss:0.02477433507641157 [ Info: [28] train-mlogloss:0.02440592793126901 [ Info: [29] train-mlogloss:0.02406374284066260 [ Info: [30] train-mlogloss:0.02370470129574339 [ Info: [31] train-mlogloss:0.02338965842500329 [ Info: [32] train-mlogloss:0.02310923661415776 [ Info: [33] train-mlogloss:0.02282593841043611 [ Info: [34] train-mlogloss:0.02262156607272724 [ Info: [35] train-mlogloss:0.02245078397914767 [ Info: [36] train-mlogloss:0.02235327906596164 [ Info: [37] train-mlogloss:0.02227977014146745 [ Info: [38] train-mlogloss:0.02220314392199119 [ Info: [39] train-mlogloss:0.02213368314318359 [ Info: [40] train-mlogloss:0.02206987841365238 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49973556558291116 [ Info: [2] train-mlogloss:0.28133072296778361 [ Info: [3] train-mlogloss:0.17778302192687989 [ Info: [4] train-mlogloss:0.11969256699085236 [ Info: [5] train-mlogloss:0.08328628008564314 [ Info: [6] train-mlogloss:0.06094154569009940 [ Info: [7] train-mlogloss:0.04909329098959764 [ Info: [8] train-mlogloss:0.04174265497674545 [ Info: [9] train-mlogloss:0.03802881728857756 [ Info: [10] train-mlogloss:0.03551992325733105 [ Info: [11] train-mlogloss:0.03377287512024243 [ Info: [12] train-mlogloss:0.03222993562618891 [ Info: [13] train-mlogloss:0.03117765813445051 [ Info: [14] train-mlogloss:0.03008721814801295 [ Info: [15] train-mlogloss:0.02908595506722728 [ Info: [16] train-mlogloss:0.02831011596446236 [ Info: [17] train-mlogloss:0.02754087038959066 [ Info: [18] train-mlogloss:0.02684442159409324 [ Info: [19] train-mlogloss:0.02617259989803036 [ Info: [20] train-mlogloss:0.02559185668826103 [ Info: [21] train-mlogloss:0.02508152635457615 [ Info: [22] train-mlogloss:0.02454109572184583 [ Info: [23] train-mlogloss:0.02407094424280028 [ Info: [24] train-mlogloss:0.02367117497138679 [ Info: [25] train-mlogloss:0.02323202954605222 [ Info: [26] train-mlogloss:0.02289439837758740 [ Info: [27] train-mlogloss:0.02268472434021532 [ Info: [28] train-mlogloss:0.02248712808204194 [ Info: [29] train-mlogloss:0.02231814979265134 [ Info: [30] train-mlogloss:0.02219827794780334 [ Info: [31] train-mlogloss:0.02211353909534713 [ Info: [32] train-mlogloss:0.02193665075115860 [ Info: [33] train-mlogloss:0.02185049310016135 [ Info: [34] train-mlogloss:0.02177493185425798 [ Info: [35] train-mlogloss:0.02170019728442033 [ Info: [36] train-mlogloss:0.02162954355279605 [ Info: [37] train-mlogloss:0.02156865878961980 [ Info: [38] train-mlogloss:0.02150716754297416 [ Info: [39] train-mlogloss:0.02144937288016081 [ Info: [40] train-mlogloss:0.02139539410049717 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97532990694046018 [ Info: [2] train-mlogloss:0.86885949452718103 [ Info: [3] train-mlogloss:0.77785742521286005 [ Info: [4] train-mlogloss:0.69936304171880082 [ Info: [5] train-mlogloss:0.63115420262018840 [ Info: [6] train-mlogloss:0.57151909271876022 [ Info: [7] train-mlogloss:0.51911091049512226 [ Info: [8] train-mlogloss:0.47287209828694660 [ Info: [9] train-mlogloss:0.43187544186909993 [ Info: [10] train-mlogloss:0.39543208320935569 [ Info: [11] train-mlogloss:0.36294073581695557 [ Info: [12] train-mlogloss:0.33390597621599832 [ Info: [13] train-mlogloss:0.30790665388107302 [ Info: [14] train-mlogloss:0.28457661112149557 [ Info: [15] train-mlogloss:0.26360112428665161 [ Info: [16] train-mlogloss:0.24468655010064444 [ Info: [17] train-mlogloss:0.22714089115460714 [ Info: [18] train-mlogloss:0.21130719125270844 [ Info: [19] train-mlogloss:0.19665788114070892 [ Info: [20] train-mlogloss:0.18364544332027435 [ Info: [21] train-mlogloss:0.17187103033065795 [ Info: [22] train-mlogloss:0.16086638708909354 [ Info: [23] train-mlogloss:0.15030014604330064 [ Info: [24] train-mlogloss:0.14068322747945786 [ Info: [25] train-mlogloss:0.13233427127202352 [ Info: [26] train-mlogloss:0.12431197394927343 [ Info: [27] train-mlogloss:0.11721815884113312 [ Info: [28] train-mlogloss:0.11058281034231186 [ Info: [29] train-mlogloss:0.10462098528941473 [ Info: [30] train-mlogloss:0.09896703789631525 [ Info: [31] train-mlogloss:0.09380871047576268 [ Info: [32] train-mlogloss:0.08922584926088652 [ Info: [33] train-mlogloss:0.08486793860793114 [ Info: [34] train-mlogloss:0.08035716583331426 [ Info: [35] train-mlogloss:0.07620075106620788 [ Info: [36] train-mlogloss:0.07287140692273776 [ Info: [37] train-mlogloss:0.06978847851355871 [ Info: [38] train-mlogloss:0.06672535528739293 [ Info: [39] train-mlogloss:0.06377633951604367 [ Info: [40] train-mlogloss:0.06131098908682664 [ Info: [41] train-mlogloss:0.05908330127596855 [ Info: [42] train-mlogloss:0.05712994491060575 [ Info: [43] train-mlogloss:0.05533976679046949 [ Info: [44] train-mlogloss:0.05366532926758130 [ Info: [45] train-mlogloss:0.05207685766120752 [ Info: [46] train-mlogloss:0.05060641569395860 [ Info: [47] train-mlogloss:0.04903491683304310 [ Info: [48] train-mlogloss:0.04764527291059494 [ Info: [49] train-mlogloss:0.04633882336318493 [ Info: [50] train-mlogloss:0.04509727070728937 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86116367657979331 [ Info: [2] train-mlogloss:0.68789780219395957 [ Info: [3] train-mlogloss:0.55941619078318283 [ Info: [4] train-mlogloss:0.46134732484817503 [ Info: [5] train-mlogloss:0.38485558430353800 [ Info: [6] train-mlogloss:0.32442632993062337 [ Info: [7] train-mlogloss:0.27616254210472108 [ Info: [8] train-mlogloss:0.23728154778480529 [ Info: [9] train-mlogloss:0.20544113616148632 [ Info: [10] train-mlogloss:0.17858938117822012 [ Info: [11] train-mlogloss:0.15512391914923987 [ Info: [12] train-mlogloss:0.13655425409475963 [ Info: [13] train-mlogloss:0.12029184867938360 [ Info: [14] train-mlogloss:0.10714870949586232 [ Info: [15] train-mlogloss:0.09573660194873809 [ Info: [16] train-mlogloss:0.08602030952771504 [ Info: [17] train-mlogloss:0.07786424979567527 [ Info: [18] train-mlogloss:0.07084934398531914 [ Info: [19] train-mlogloss:0.06475419054428737 [ Info: [20] train-mlogloss:0.05980990014970303 [ Info: [21] train-mlogloss:0.05559473425149918 [ Info: [22] train-mlogloss:0.05225433088839054 [ Info: [23] train-mlogloss:0.04893843623499076 [ Info: [24] train-mlogloss:0.04621893475453059 [ Info: [25] train-mlogloss:0.04391965589175622 [ Info: [26] train-mlogloss:0.04222799253960451 [ Info: [27] train-mlogloss:0.04099911831319332 [ Info: [28] train-mlogloss:0.04012702215462923 [ Info: [29] train-mlogloss:0.03947870274384817 [ Info: [30] train-mlogloss:0.03882747617860635 [ Info: [31] train-mlogloss:0.03820100940763951 [ Info: [32] train-mlogloss:0.03764310726275047 [ Info: [33] train-mlogloss:0.03705646031846603 [ Info: [34] train-mlogloss:0.03617347047974666 [ Info: [35] train-mlogloss:0.03562883425503969 [ Info: [36] train-mlogloss:0.03499238892147939 [ Info: [37] train-mlogloss:0.03454819413522879 [ Info: [38] train-mlogloss:0.03372750220199426 [ Info: [39] train-mlogloss:0.03326468580712875 [ Info: [40] train-mlogloss:0.03285491740331054 [ Info: [41] train-mlogloss:0.03231797338773807 [ Info: [42] train-mlogloss:0.03194702946270506 [ Info: [43] train-mlogloss:0.03153130084276199 [ Info: [44] train-mlogloss:0.03105428691332539 [ Info: [45] train-mlogloss:0.03059763828292489 [ Info: [46] train-mlogloss:0.03028095046679179 [ Info: [47] train-mlogloss:0.02984215494245291 [ Info: [48] train-mlogloss:0.02944194252292315 [ Info: [49] train-mlogloss:0.02916179514179627 [ Info: [50] train-mlogloss:0.02878114007413387 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75645427385965980 [ Info: [2] train-mlogloss:0.54614540020624791 [ Info: [3] train-mlogloss:0.40907083153724672 [ Info: [4] train-mlogloss:0.31450770854949950 [ Info: [5] train-mlogloss:0.24762753883997599 [ Info: [6] train-mlogloss:0.19894695520401001 [ Info: [7] train-mlogloss:0.15993153234322866 [ Info: [8] train-mlogloss:0.13191020260254541 [ Info: [9] train-mlogloss:0.10919626981019974 [ Info: [10] train-mlogloss:0.09213258057832718 [ Info: [11] train-mlogloss:0.07898738880952200 [ Info: [12] train-mlogloss:0.06815251568953196 [ Info: [13] train-mlogloss:0.05980481815834840 [ Info: [14] train-mlogloss:0.05356285274028778 [ Info: [15] train-mlogloss:0.04898831362525622 [ Info: [16] train-mlogloss:0.04488630535701910 [ Info: [17] train-mlogloss:0.04164698747297128 [ Info: [18] train-mlogloss:0.04031641677021981 [ Info: [19] train-mlogloss:0.03922740445782741 [ Info: [20] train-mlogloss:0.03831484187394381 [ Info: [21] train-mlogloss:0.03714753760645787 [ Info: [22] train-mlogloss:0.03630030029763778 [ Info: [23] train-mlogloss:0.03548780822505553 [ Info: [24] train-mlogloss:0.03480818483978510 [ Info: [25] train-mlogloss:0.03356626229981581 [ Info: [26] train-mlogloss:0.03269221147522330 [ Info: [27] train-mlogloss:0.03205895021557808 [ Info: [28] train-mlogloss:0.03150080802539985 [ Info: [29] train-mlogloss:0.03078343899920583 [ Info: [30] train-mlogloss:0.03032508399337530 [ Info: [31] train-mlogloss:0.02967156980186701 [ Info: [32] train-mlogloss:0.02910272463535269 [ Info: [33] train-mlogloss:0.02870768699795008 [ Info: [34] train-mlogloss:0.02831055224562685 [ Info: [35] train-mlogloss:0.02794989458595713 [ Info: [36] train-mlogloss:0.02759569608916839 [ Info: [37] train-mlogloss:0.02726838374510408 [ Info: [38] train-mlogloss:0.02695709215477109 [ Info: [39] train-mlogloss:0.02665920558075110 [ Info: [40] train-mlogloss:0.02637939515834054 [ Info: [41] train-mlogloss:0.02611442492343485 [ Info: [42] train-mlogloss:0.02585028884001076 [ Info: [43] train-mlogloss:0.02560644006356597 [ Info: [44] train-mlogloss:0.02535974898996452 [ Info: [45] train-mlogloss:0.02512366226253410 [ Info: [46] train-mlogloss:0.02490884750150144 [ Info: [47] train-mlogloss:0.02467834568892916 [ Info: [48] train-mlogloss:0.02446606595069170 [ Info: [49] train-mlogloss:0.02426684152645369 [ Info: [50] train-mlogloss:0.02405850093190869 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66136412858963012 [ Info: [2] train-mlogloss:0.43550750732421872 [ Info: [3] train-mlogloss:0.30415248314539589 [ Info: [4] train-mlogloss:0.22187363604704538 [ Info: [5] train-mlogloss:0.16637758314609527 [ Info: [6] train-mlogloss:0.12830457121133804 [ Info: [7] train-mlogloss:0.10111416399478912 [ Info: [8] train-mlogloss:0.08093926767508189 [ Info: [9] train-mlogloss:0.06686508407195409 [ Info: [10] train-mlogloss:0.05613573543727398 [ Info: [11] train-mlogloss:0.04965762553115686 [ Info: [12] train-mlogloss:0.04420464600125949 [ Info: [13] train-mlogloss:0.04011015041420857 [ Info: [14] train-mlogloss:0.03818236141155163 [ Info: [15] train-mlogloss:0.03660357082883517 [ Info: [16] train-mlogloss:0.03549721111853917 [ Info: [17] train-mlogloss:0.03449140857905150 [ Info: [18] train-mlogloss:0.03280816068251928 [ Info: [19] train-mlogloss:0.03163870330899954 [ Info: [20] train-mlogloss:0.03093484256416559 [ Info: [21] train-mlogloss:0.03029448912168543 [ Info: [22] train-mlogloss:0.02937322553868095 [ Info: [23] train-mlogloss:0.02854881910607219 [ Info: [24] train-mlogloss:0.02797733876233300 [ Info: [25] train-mlogloss:0.02745591246212522 [ Info: [26] train-mlogloss:0.02699891278520226 [ Info: [27] train-mlogloss:0.02649429601927598 [ Info: [28] train-mlogloss:0.02609233731403947 [ Info: [29] train-mlogloss:0.02572779320180416 [ Info: [30] train-mlogloss:0.02535595743606488 [ Info: [31] train-mlogloss:0.02502405970978240 [ Info: [32] train-mlogloss:0.02471404364022116 [ Info: [33] train-mlogloss:0.02439945866353810 [ Info: [34] train-mlogloss:0.02412057990518709 [ Info: [35] train-mlogloss:0.02382581922846536 [ Info: [36] train-mlogloss:0.02362996399713059 [ Info: [37] train-mlogloss:0.02347923832945526 [ Info: [38] train-mlogloss:0.02337197484448552 [ Info: [39] train-mlogloss:0.02326824998483062 [ Info: [40] train-mlogloss:0.02315941023329894 [ Info: [41] train-mlogloss:0.02305605021305382 [ Info: [42] train-mlogloss:0.02295985938981175 [ Info: [43] train-mlogloss:0.02286673784255982 [ Info: [44] train-mlogloss:0.02276685186972221 [ Info: [45] train-mlogloss:0.02267385857490202 [ Info: [46] train-mlogloss:0.02259148209355772 [ Info: [47] train-mlogloss:0.02250162562355399 [ Info: [48] train-mlogloss:0.02242039606906474 [ Info: [49] train-mlogloss:0.02233315542961160 [ Info: [50] train-mlogloss:0.02225324959183733 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57586425542831421 [ Info: [2] train-mlogloss:0.34896110375722250 [ Info: [3] train-mlogloss:0.23057442486286164 [ Info: [4] train-mlogloss:0.15838053703308105 [ Info: [5] train-mlogloss:0.11315410445133844 [ Info: [6] train-mlogloss:0.08493248944481215 [ Info: [7] train-mlogloss:0.06581697180867195 [ Info: [8] train-mlogloss:0.05381776240964731 [ Info: [9] train-mlogloss:0.04548356778919697 [ Info: [10] train-mlogloss:0.04037592064589262 [ Info: [11] train-mlogloss:0.03815498641381661 [ Info: [12] train-mlogloss:0.03665498182177544 [ Info: [13] train-mlogloss:0.03523289779822032 [ Info: [14] train-mlogloss:0.03344429975996415 [ Info: [15] train-mlogloss:0.03247212278967102 [ Info: [16] train-mlogloss:0.03128934990614653 [ Info: [17] train-mlogloss:0.03037712406367064 [ Info: [18] train-mlogloss:0.02956954595322410 [ Info: [19] train-mlogloss:0.02886947915578882 [ Info: [20] train-mlogloss:0.02824141149098675 [ Info: [21] train-mlogloss:0.02764065536980828 [ Info: [22] train-mlogloss:0.02707734820122520 [ Info: [23] train-mlogloss:0.02652240305518111 [ Info: [24] train-mlogloss:0.02605815640029808 [ Info: [25] train-mlogloss:0.02560204707396527 [ Info: [26] train-mlogloss:0.02520353632047772 [ Info: [27] train-mlogloss:0.02477433507641157 [ Info: [28] train-mlogloss:0.02440592793126901 [ Info: [29] train-mlogloss:0.02406374284066260 [ Info: [30] train-mlogloss:0.02370470129574339 [ Info: [31] train-mlogloss:0.02338965842500329 [ Info: [32] train-mlogloss:0.02310923661415776 [ Info: [33] train-mlogloss:0.02282593841043611 [ Info: [34] train-mlogloss:0.02262156607272724 [ Info: [35] train-mlogloss:0.02245078397914767 [ Info: [36] train-mlogloss:0.02235327906596164 [ Info: [37] train-mlogloss:0.02227977014146745 [ Info: [38] train-mlogloss:0.02220314392199119 [ Info: [39] train-mlogloss:0.02213368314318359 [ Info: [40] train-mlogloss:0.02206987841365238 [ Info: [41] train-mlogloss:0.02200142304413021 [ Info: [42] train-mlogloss:0.02194572001385192 [ Info: [43] train-mlogloss:0.02188929948024452 [ Info: [44] train-mlogloss:0.02183013854237894 [ Info: [45] train-mlogloss:0.02178377091884613 [ Info: [46] train-mlogloss:0.02172657750236491 [ Info: [47] train-mlogloss:0.02167906841263175 [ Info: [48] train-mlogloss:0.02163235886953771 [ Info: [49] train-mlogloss:0.02158136944596966 [ Info: [50] train-mlogloss:0.02153598320670426 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49973556558291116 [ Info: [2] train-mlogloss:0.28133072296778361 [ Info: [3] train-mlogloss:0.17778302192687989 [ Info: [4] train-mlogloss:0.11969256699085236 [ Info: [5] train-mlogloss:0.08328628008564314 [ Info: [6] train-mlogloss:0.06094154569009940 [ Info: [7] train-mlogloss:0.04909329098959764 [ Info: [8] train-mlogloss:0.04174265497674545 [ Info: [9] train-mlogloss:0.03802881728857756 [ Info: [10] train-mlogloss:0.03551992325733105 [ Info: [11] train-mlogloss:0.03377287512024243 [ Info: [12] train-mlogloss:0.03222993562618891 [ Info: [13] train-mlogloss:0.03117765813445051 [ Info: [14] train-mlogloss:0.03008721814801295 [ Info: [15] train-mlogloss:0.02908595506722728 [ Info: [16] train-mlogloss:0.02831011596446236 [ Info: [17] train-mlogloss:0.02754087038959066 [ Info: [18] train-mlogloss:0.02684442159409324 [ Info: [19] train-mlogloss:0.02617259989803036 [ Info: [20] train-mlogloss:0.02559185668826103 [ Info: [21] train-mlogloss:0.02508152635457615 [ Info: [22] train-mlogloss:0.02454109572184583 [ Info: [23] train-mlogloss:0.02407094424280028 [ Info: [24] train-mlogloss:0.02367117497138679 [ Info: [25] train-mlogloss:0.02323202954605222 [ Info: [26] train-mlogloss:0.02289439837758740 [ Info: [27] train-mlogloss:0.02268472434021532 [ Info: [28] train-mlogloss:0.02248712808204194 [ Info: [29] train-mlogloss:0.02231814979265134 [ Info: [30] train-mlogloss:0.02219827794780334 [ Info: [31] train-mlogloss:0.02211353909534713 [ Info: [32] train-mlogloss:0.02193665075115860 [ Info: [33] train-mlogloss:0.02185049310016135 [ Info: [34] train-mlogloss:0.02177493185425798 [ Info: [35] train-mlogloss:0.02170019728442033 [ Info: [36] train-mlogloss:0.02162954355279605 [ Info: [37] train-mlogloss:0.02156865878961980 [ Info: [38] train-mlogloss:0.02150716754297416 [ Info: [39] train-mlogloss:0.02144937288016081 [ Info: [40] train-mlogloss:0.02139539410049717 [ Info: [41] train-mlogloss:0.02134878194580475 [ Info: [42] train-mlogloss:0.02119958175967137 [ Info: [43] train-mlogloss:0.02115207537077367 [ Info: [44] train-mlogloss:0.02110654554950694 [ Info: [45] train-mlogloss:0.02106910111693044 [ Info: [46] train-mlogloss:0.02093261444009840 [ Info: [47] train-mlogloss:0.02089340138559540 [ Info: [48] train-mlogloss:0.02085670952995618 [ Info: [49] train-mlogloss:0.02073770894358555 [ Info: [50] train-mlogloss:0.02069285732693970 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96979779720306392 [ Info: [2] train-mlogloss:0.86108473459879553 [ Info: [3] train-mlogloss:0.76814803520838415 [ Info: [4] train-mlogloss:0.68791396458943688 [ Info: [5] train-mlogloss:0.61810828367869064 [ Info: [6] train-mlogloss:0.55699495553970335 [ Info: [7] train-mlogloss:0.50321548302968344 [ Info: [8] train-mlogloss:0.45568506757418314 [ Info: [9] train-mlogloss:0.41352301279703774 [ Info: [10] train-mlogloss:0.37562246680259703 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85064886331558232 [ Info: [2] train-mlogloss:0.67475288232167563 [ Info: [3] train-mlogloss:0.54382505416870119 [ Info: [4] train-mlogloss:0.44350917617479962 [ Info: [5] train-mlogloss:0.36433205246925354 [ Info: [6] train-mlogloss:0.30221750299135847 [ Info: [7] train-mlogloss:0.25191330154736835 [ Info: [8] train-mlogloss:0.21227565725644429 [ Info: [9] train-mlogloss:0.17793257733186085 [ Info: [10] train-mlogloss:0.15004106998443603 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74153190215428666 [ Info: [2] train-mlogloss:0.52924862782160442 [ Info: [3] train-mlogloss:0.38954717199007671 [ Info: [4] train-mlogloss:0.29183966477711998 [ Info: [5] train-mlogloss:0.22464788099129995 [ Info: [6] train-mlogloss:0.17525009612242382 [ Info: [7] train-mlogloss:0.13600637435913085 [ Info: [8] train-mlogloss:0.10698183496793111 [ Info: [9] train-mlogloss:0.08621832708517710 [ Info: [10] train-mlogloss:0.07047080780069033 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64261546293894445 [ Info: [2] train-mlogloss:0.41586577057838442 [ Info: [3] train-mlogloss:0.28065942883491518 [ Info: [4] train-mlogloss:0.19740654269854227 [ Info: [5] train-mlogloss:0.13929163734118144 [ Info: [6] train-mlogloss:0.10083107491334280 [ Info: [7] train-mlogloss:0.07576376001040140 [ Info: [8] train-mlogloss:0.05839542776346206 [ Info: [9] train-mlogloss:0.04679764946301778 [ Info: [10] train-mlogloss:0.03899574970205625 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55385663429896037 [ Info: [2] train-mlogloss:0.32754629174868266 [ Info: [3] train-mlogloss:0.20499385118484498 [ Info: [4] train-mlogloss:0.13689255396525066 [ Info: [5] train-mlogloss:0.09139609475930532 [ Info: [6] train-mlogloss:0.06504172722498576 [ Info: [7] train-mlogloss:0.04894224748015404 [ Info: [8] train-mlogloss:0.03874747902154922 [ Info: [9] train-mlogloss:0.03230060870448748 [ Info: [10] train-mlogloss:0.02788554862141609 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47500392317771911 [ Info: [2] train-mlogloss:0.25647329310576122 [ Info: [3] train-mlogloss:0.14671446919441222 [ Info: [4] train-mlogloss:0.09345171411832173 [ Info: [5] train-mlogloss:0.06167265102267265 [ Info: [6] train-mlogloss:0.04406325330336889 [ Info: [7] train-mlogloss:0.03432271068294843 [ Info: [8] train-mlogloss:0.02843606024980545 [ Info: [9] train-mlogloss:0.02678298931568861 [ Info: [10] train-mlogloss:0.02555399376899004 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96979779720306392 [ Info: [2] train-mlogloss:0.86108473459879553 [ Info: [3] train-mlogloss:0.76814803520838415 [ Info: [4] train-mlogloss:0.68791396458943688 [ Info: [5] train-mlogloss:0.61810828367869064 [ Info: [6] train-mlogloss:0.55699495553970335 [ Info: [7] train-mlogloss:0.50321548302968344 [ Info: [8] train-mlogloss:0.45568506757418314 [ Info: [9] train-mlogloss:0.41352301279703774 [ Info: [10] train-mlogloss:0.37562246680259703 [ Info: [11] train-mlogloss:0.34176592389742533 [ Info: [12] train-mlogloss:0.31179662704467775 [ Info: [13] train-mlogloss:0.28464484135309853 [ Info: [14] train-mlogloss:0.26106922666231791 [ Info: [15] train-mlogloss:0.23961979468663533 [ Info: [16] train-mlogloss:0.22026155849297840 [ Info: [17] train-mlogloss:0.20163254499435423 [ Info: [18] train-mlogloss:0.18484646896521251 [ Info: [19] train-mlogloss:0.16970259090264639 [ Info: [20] train-mlogloss:0.15708536207675933 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85064886331558232 [ Info: [2] train-mlogloss:0.67475288232167563 [ Info: [3] train-mlogloss:0.54382505416870119 [ Info: [4] train-mlogloss:0.44350917617479962 [ Info: [5] train-mlogloss:0.36433205246925354 [ Info: [6] train-mlogloss:0.30221750299135847 [ Info: [7] train-mlogloss:0.25191330154736835 [ Info: [8] train-mlogloss:0.21227565725644429 [ Info: [9] train-mlogloss:0.17793257733186085 [ Info: [10] train-mlogloss:0.15004106998443603 [ Info: [11] train-mlogloss:0.12727944910526276 [ Info: [12] train-mlogloss:0.11028157303730647 [ Info: [13] train-mlogloss:0.09519221742947896 [ Info: [14] train-mlogloss:0.08270041704177857 [ Info: [15] train-mlogloss:0.07229178269704183 [ Info: [16] train-mlogloss:0.06358212590217591 [ Info: [17] train-mlogloss:0.05665388425191244 [ Info: [18] train-mlogloss:0.05058480982979139 [ Info: [19] train-mlogloss:0.04562320734063784 [ Info: [20] train-mlogloss:0.04175503256420295 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74153190215428666 [ Info: [2] train-mlogloss:0.52924862782160442 [ Info: [3] train-mlogloss:0.38954717199007671 [ Info: [4] train-mlogloss:0.29183966477711998 [ Info: [5] train-mlogloss:0.22464788099129995 [ Info: [6] train-mlogloss:0.17525009612242382 [ Info: [7] train-mlogloss:0.13600637435913085 [ Info: [8] train-mlogloss:0.10698183496793111 [ Info: [9] train-mlogloss:0.08621832708517710 [ Info: [10] train-mlogloss:0.07047080780069033 [ Info: [11] train-mlogloss:0.05841102078557014 [ Info: [12] train-mlogloss:0.04959875881671905 [ Info: [13] train-mlogloss:0.04267523606618245 [ Info: [14] train-mlogloss:0.03795051443080107 [ Info: [15] train-mlogloss:0.03390947677195072 [ Info: [16] train-mlogloss:0.03097593146065871 [ Info: [17] train-mlogloss:0.02883683025836944 [ Info: [18] train-mlogloss:0.02802120925237735 [ Info: [19] train-mlogloss:0.02733161680400371 [ Info: [20] train-mlogloss:0.02667991771052281 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64261546293894445 [ Info: [2] train-mlogloss:0.41586577057838442 [ Info: [3] train-mlogloss:0.28065942883491518 [ Info: [4] train-mlogloss:0.19740654269854227 [ Info: [5] train-mlogloss:0.13929163734118144 [ Info: [6] train-mlogloss:0.10083107491334280 [ Info: [7] train-mlogloss:0.07576376001040140 [ Info: [8] train-mlogloss:0.05839542776346206 [ Info: [9] train-mlogloss:0.04679764946301778 [ Info: [10] train-mlogloss:0.03899574970205625 [ Info: [11] train-mlogloss:0.03346466943621636 [ Info: [12] train-mlogloss:0.02957013929883639 [ Info: [13] train-mlogloss:0.02713516066471736 [ Info: [14] train-mlogloss:0.02628571209808191 [ Info: [15] train-mlogloss:0.02538799018909534 [ Info: [16] train-mlogloss:0.02470192531744639 [ Info: [17] train-mlogloss:0.02414622365186612 [ Info: [18] train-mlogloss:0.02359070897102356 [ Info: [19] train-mlogloss:0.02312723786880573 [ Info: [20] train-mlogloss:0.02271932158619165 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55385663429896037 [ Info: [2] train-mlogloss:0.32754629174868266 [ Info: [3] train-mlogloss:0.20499385118484498 [ Info: [4] train-mlogloss:0.13689255396525066 [ Info: [5] train-mlogloss:0.09139609475930532 [ Info: [6] train-mlogloss:0.06504172722498576 [ Info: [7] train-mlogloss:0.04894224748015404 [ Info: [8] train-mlogloss:0.03874747902154922 [ Info: [9] train-mlogloss:0.03230060870448748 [ Info: [10] train-mlogloss:0.02788554862141609 [ Info: [11] train-mlogloss:0.02659890923649073 [ Info: [12] train-mlogloss:0.02560024328529835 [ Info: [13] train-mlogloss:0.02489371324578921 [ Info: [14] train-mlogloss:0.02433570122967164 [ Info: [15] train-mlogloss:0.02379033199201027 [ Info: [16] train-mlogloss:0.02333808029691378 [ Info: [17] train-mlogloss:0.02290520902723074 [ Info: [18] train-mlogloss:0.02253118804345528 [ Info: [19] train-mlogloss:0.02225900517155727 [ Info: [20] train-mlogloss:0.02205197310696046 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47500392317771911 [ Info: [2] train-mlogloss:0.25647329310576122 [ Info: [3] train-mlogloss:0.14671446919441222 [ Info: [4] train-mlogloss:0.09345171411832173 [ Info: [5] train-mlogloss:0.06167265102267265 [ Info: [6] train-mlogloss:0.04406325330336889 [ Info: [7] train-mlogloss:0.03432271068294843 [ Info: [8] train-mlogloss:0.02843606024980545 [ Info: [9] train-mlogloss:0.02678298931568861 [ Info: [10] train-mlogloss:0.02555399376899004 [ Info: [11] train-mlogloss:0.02463101876278718 [ Info: [12] train-mlogloss:0.02385490866998832 [ Info: [13] train-mlogloss:0.02318497380862633 [ Info: [14] train-mlogloss:0.02276493777831395 [ Info: [15] train-mlogloss:0.02244286598016818 [ Info: [16] train-mlogloss:0.02232541521390279 [ Info: [17] train-mlogloss:0.02207535849263271 [ Info: [18] train-mlogloss:0.02197150999059280 [ Info: [19] train-mlogloss:0.02187818550815185 [ Info: [20] train-mlogloss:0.02179589558392763 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96979779720306392 [ Info: [2] train-mlogloss:0.86108473459879553 [ Info: [3] train-mlogloss:0.76814803520838415 [ Info: [4] train-mlogloss:0.68791396458943688 [ Info: [5] train-mlogloss:0.61810828367869064 [ Info: [6] train-mlogloss:0.55699495553970335 [ Info: [7] train-mlogloss:0.50321548302968344 [ Info: [8] train-mlogloss:0.45568506757418314 [ Info: [9] train-mlogloss:0.41352301279703774 [ Info: [10] train-mlogloss:0.37562246680259703 [ Info: [11] train-mlogloss:0.34176592389742533 [ Info: [12] train-mlogloss:0.31179662704467775 [ Info: [13] train-mlogloss:0.28464484135309853 [ Info: [14] train-mlogloss:0.26106922666231791 [ Info: [15] train-mlogloss:0.23961979468663533 [ Info: [16] train-mlogloss:0.22026155849297840 [ Info: [17] train-mlogloss:0.20163254499435423 [ Info: [18] train-mlogloss:0.18484646896521251 [ Info: [19] train-mlogloss:0.16970259090264639 [ Info: [20] train-mlogloss:0.15708536207675933 [ Info: [21] train-mlogloss:0.14462275167306265 [ Info: [22] train-mlogloss:0.13334342817465464 [ Info: [23] train-mlogloss:0.12312674522399902 [ Info: [24] train-mlogloss:0.11383784035841624 [ Info: [25] train-mlogloss:0.10619644194841385 [ Info: [26] train-mlogloss:0.09877438515424729 [ Info: [27] train-mlogloss:0.09201095740000408 [ Info: [28] train-mlogloss:0.08584058354298274 [ Info: [29] train-mlogloss:0.08020548363526663 [ Info: [30] train-mlogloss:0.07505389978488286 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85064886331558232 [ Info: [2] train-mlogloss:0.67475288232167563 [ Info: [3] train-mlogloss:0.54382505416870119 [ Info: [4] train-mlogloss:0.44350917617479962 [ Info: [5] train-mlogloss:0.36433205246925354 [ Info: [6] train-mlogloss:0.30221750299135847 [ Info: [7] train-mlogloss:0.25191330154736835 [ Info: [8] train-mlogloss:0.21227565725644429 [ Info: [9] train-mlogloss:0.17793257733186085 [ Info: [10] train-mlogloss:0.15004106998443603 [ Info: [11] train-mlogloss:0.12727944910526276 [ Info: [12] train-mlogloss:0.11028157303730647 [ Info: [13] train-mlogloss:0.09519221742947896 [ Info: [14] train-mlogloss:0.08270041704177857 [ Info: [15] train-mlogloss:0.07229178269704183 [ Info: [16] train-mlogloss:0.06358212590217591 [ Info: [17] train-mlogloss:0.05665388425191244 [ Info: [18] train-mlogloss:0.05058480982979139 [ Info: [19] train-mlogloss:0.04562320734063784 [ Info: [20] train-mlogloss:0.04175503256420295 [ Info: [21] train-mlogloss:0.03848985562721888 [ Info: [22] train-mlogloss:0.03573707054058711 [ Info: [23] train-mlogloss:0.03333749244610468 [ Info: [24] train-mlogloss:0.03134199120104313 [ Info: [25] train-mlogloss:0.02963877665499846 [ Info: [26] train-mlogloss:0.02836323363085588 [ Info: [27] train-mlogloss:0.02784623650213083 [ Info: [28] train-mlogloss:0.02737067386507988 [ Info: [29] train-mlogloss:0.02690578047186136 [ Info: [30] train-mlogloss:0.02649235791216294 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74153190215428666 [ Info: [2] train-mlogloss:0.52924862782160442 [ Info: [3] train-mlogloss:0.38954717199007671 [ Info: [4] train-mlogloss:0.29183966477711998 [ Info: [5] train-mlogloss:0.22464788099129995 [ Info: [6] train-mlogloss:0.17525009612242382 [ Info: [7] train-mlogloss:0.13600637435913085 [ Info: [8] train-mlogloss:0.10698183496793111 [ Info: [9] train-mlogloss:0.08621832708517710 [ Info: [10] train-mlogloss:0.07047080780069033 [ Info: [11] train-mlogloss:0.05841102078557014 [ Info: [12] train-mlogloss:0.04959875881671905 [ Info: [13] train-mlogloss:0.04267523606618245 [ Info: [14] train-mlogloss:0.03795051443080107 [ Info: [15] train-mlogloss:0.03390947677195072 [ Info: [16] train-mlogloss:0.03097593146065871 [ Info: [17] train-mlogloss:0.02883683025836944 [ Info: [18] train-mlogloss:0.02802120925237735 [ Info: [19] train-mlogloss:0.02733161680400371 [ Info: [20] train-mlogloss:0.02667991771052281 [ Info: [21] train-mlogloss:0.02610890614489714 [ Info: [22] train-mlogloss:0.02559354521334171 [ Info: [23] train-mlogloss:0.02508554489662250 [ Info: [24] train-mlogloss:0.02463654015213251 [ Info: [25] train-mlogloss:0.02422298435121775 [ Info: [26] train-mlogloss:0.02384677698214849 [ Info: [27] train-mlogloss:0.02350737514595191 [ Info: [28] train-mlogloss:0.02317410708715518 [ Info: [29] train-mlogloss:0.02287678665171067 [ Info: [30] train-mlogloss:0.02260569301744302 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64261546293894445 [ Info: [2] train-mlogloss:0.41586577057838442 [ Info: [3] train-mlogloss:0.28065942883491518 [ Info: [4] train-mlogloss:0.19740654269854227 [ Info: [5] train-mlogloss:0.13929163734118144 [ Info: [6] train-mlogloss:0.10083107491334280 [ Info: [7] train-mlogloss:0.07576376001040140 [ Info: [8] train-mlogloss:0.05839542776346206 [ Info: [9] train-mlogloss:0.04679764946301778 [ Info: [10] train-mlogloss:0.03899574970205625 [ Info: [11] train-mlogloss:0.03346466943621636 [ Info: [12] train-mlogloss:0.02957013929883639 [ Info: [13] train-mlogloss:0.02713516066471736 [ Info: [14] train-mlogloss:0.02628571209808191 [ Info: [15] train-mlogloss:0.02538799018909534 [ Info: [16] train-mlogloss:0.02470192531744639 [ Info: [17] train-mlogloss:0.02414622365186612 [ Info: [18] train-mlogloss:0.02359070897102356 [ Info: [19] train-mlogloss:0.02312723786880573 [ Info: [20] train-mlogloss:0.02271932158619165 [ Info: [21] train-mlogloss:0.02237142485876878 [ Info: [22] train-mlogloss:0.02210316224644581 [ Info: [23] train-mlogloss:0.02201746555666129 [ Info: [24] train-mlogloss:0.02194734297692776 [ Info: [25] train-mlogloss:0.02187851512183746 [ Info: [26] train-mlogloss:0.02180727214862903 [ Info: [27] train-mlogloss:0.02174357470124960 [ Info: [28] train-mlogloss:0.02167913272976875 [ Info: [29] train-mlogloss:0.02161400765180588 [ Info: [30] train-mlogloss:0.02155572324991226 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55385663429896037 [ Info: [2] train-mlogloss:0.32754629174868266 [ Info: [3] train-mlogloss:0.20499385118484498 [ Info: [4] train-mlogloss:0.13689255396525066 [ Info: [5] train-mlogloss:0.09139609475930532 [ Info: [6] train-mlogloss:0.06504172722498576 [ Info: [7] train-mlogloss:0.04894224748015404 [ Info: [8] train-mlogloss:0.03874747902154922 [ Info: [9] train-mlogloss:0.03230060870448748 [ Info: [10] train-mlogloss:0.02788554862141609 [ Info: [11] train-mlogloss:0.02659890923649073 [ Info: [12] train-mlogloss:0.02560024328529835 [ Info: [13] train-mlogloss:0.02489371324578921 [ Info: [14] train-mlogloss:0.02433570122967164 [ Info: [15] train-mlogloss:0.02379033199201027 [ Info: [16] train-mlogloss:0.02333808029691378 [ Info: [17] train-mlogloss:0.02290520902723074 [ Info: [18] train-mlogloss:0.02253118804345528 [ Info: [19] train-mlogloss:0.02225900517155727 [ Info: [20] train-mlogloss:0.02205197310696046 [ Info: [21] train-mlogloss:0.02198284278934201 [ Info: [22] train-mlogloss:0.02191521999736627 [ Info: [23] train-mlogloss:0.02184521324932575 [ Info: [24] train-mlogloss:0.02178380668784181 [ Info: [25] train-mlogloss:0.02172182758649190 [ Info: [26] train-mlogloss:0.02167089482769370 [ Info: [27] train-mlogloss:0.02161757656683524 [ Info: [28] train-mlogloss:0.02156863567108909 [ Info: [29] train-mlogloss:0.02152404478440682 [ Info: [30] train-mlogloss:0.02148225381970405 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47500392317771911 [ Info: [2] train-mlogloss:0.25647329310576122 [ Info: [3] train-mlogloss:0.14671446919441222 [ Info: [4] train-mlogloss:0.09345171411832173 [ Info: [5] train-mlogloss:0.06167265102267265 [ Info: [6] train-mlogloss:0.04406325330336889 [ Info: [7] train-mlogloss:0.03432271068294843 [ Info: [8] train-mlogloss:0.02843606024980545 [ Info: [9] train-mlogloss:0.02678298931568861 [ Info: [10] train-mlogloss:0.02555399376899004 [ Info: [11] train-mlogloss:0.02463101876278718 [ Info: [12] train-mlogloss:0.02385490866998832 [ Info: [13] train-mlogloss:0.02318497380862633 [ Info: [14] train-mlogloss:0.02276493777831395 [ Info: [15] train-mlogloss:0.02244286598016818 [ Info: [16] train-mlogloss:0.02232541521390279 [ Info: [17] train-mlogloss:0.02207535849263271 [ Info: [18] train-mlogloss:0.02197150999059280 [ Info: [19] train-mlogloss:0.02187818550815185 [ Info: [20] train-mlogloss:0.02179589558392763 [ Info: [21] train-mlogloss:0.02171415068209171 [ Info: [22] train-mlogloss:0.02164662826806307 [ Info: [23] train-mlogloss:0.02159100902577241 [ Info: [24] train-mlogloss:0.02153036470214526 [ Info: [25] train-mlogloss:0.02148114914074540 [ Info: [26] train-mlogloss:0.02142694337914387 [ Info: [27] train-mlogloss:0.02138117296000322 [ Info: [28] train-mlogloss:0.02133839499205351 [ Info: [29] train-mlogloss:0.02128799570103486 [ Info: [30] train-mlogloss:0.02124878792092204 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96979779720306392 [ Info: [2] train-mlogloss:0.86108473459879553 [ Info: [3] train-mlogloss:0.76814803520838415 [ Info: [4] train-mlogloss:0.68791396458943688 [ Info: [5] train-mlogloss:0.61810828367869064 [ Info: [6] train-mlogloss:0.55699495553970335 [ Info: [7] train-mlogloss:0.50321548302968344 [ Info: [8] train-mlogloss:0.45568506757418314 [ Info: [9] train-mlogloss:0.41352301279703774 [ Info: [10] train-mlogloss:0.37562246680259703 [ Info: [11] train-mlogloss:0.34176592389742533 [ Info: [12] train-mlogloss:0.31179662704467775 [ Info: [13] train-mlogloss:0.28464484135309853 [ Info: [14] train-mlogloss:0.26106922666231791 [ Info: [15] train-mlogloss:0.23961979468663533 [ Info: [16] train-mlogloss:0.22026155849297840 [ Info: [17] train-mlogloss:0.20163254499435423 [ Info: [18] train-mlogloss:0.18484646896521251 [ Info: [19] train-mlogloss:0.16970259090264639 [ Info: [20] train-mlogloss:0.15708536207675933 [ Info: [21] train-mlogloss:0.14462275167306265 [ Info: [22] train-mlogloss:0.13334342817465464 [ Info: [23] train-mlogloss:0.12312674522399902 [ Info: [24] train-mlogloss:0.11383784035841624 [ Info: [25] train-mlogloss:0.10619644194841385 [ Info: [26] train-mlogloss:0.09877438515424729 [ Info: [27] train-mlogloss:0.09201095740000408 [ Info: [28] train-mlogloss:0.08584058354298274 [ Info: [29] train-mlogloss:0.08020548363526663 [ Info: [30] train-mlogloss:0.07505389978488286 [ Info: [31] train-mlogloss:0.07033945878346760 [ Info: [32] train-mlogloss:0.06602048908670743 [ Info: [33] train-mlogloss:0.06205952743689219 [ Info: [34] train-mlogloss:0.05862111662824949 [ Info: [35] train-mlogloss:0.05533699671427409 [ Info: [36] train-mlogloss:0.05243080074588458 [ Info: [37] train-mlogloss:0.04975220496455828 [ Info: [38] train-mlogloss:0.04725930288434028 [ Info: [39] train-mlogloss:0.04511469644804796 [ Info: [40] train-mlogloss:0.04317696293195088 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85064886331558232 [ Info: [2] train-mlogloss:0.67475288232167563 [ Info: [3] train-mlogloss:0.54382505416870119 [ Info: [4] train-mlogloss:0.44350917617479962 [ Info: [5] train-mlogloss:0.36433205246925354 [ Info: [6] train-mlogloss:0.30221750299135847 [ Info: [7] train-mlogloss:0.25191330154736835 [ Info: [8] train-mlogloss:0.21227565725644429 [ Info: [9] train-mlogloss:0.17793257733186085 [ Info: [10] train-mlogloss:0.15004106998443603 [ Info: [11] train-mlogloss:0.12727944910526276 [ Info: [12] train-mlogloss:0.11028157303730647 [ Info: [13] train-mlogloss:0.09519221742947896 [ Info: [14] train-mlogloss:0.08270041704177857 [ Info: [15] train-mlogloss:0.07229178269704183 [ Info: [16] train-mlogloss:0.06358212590217591 [ Info: [17] train-mlogloss:0.05665388425191244 [ Info: [18] train-mlogloss:0.05058480982979139 [ Info: [19] train-mlogloss:0.04562320734063784 [ Info: [20] train-mlogloss:0.04175503256420295 [ Info: [21] train-mlogloss:0.03848985562721888 [ Info: [22] train-mlogloss:0.03573707054058711 [ Info: [23] train-mlogloss:0.03333749244610468 [ Info: [24] train-mlogloss:0.03134199120104313 [ Info: [25] train-mlogloss:0.02963877665499846 [ Info: [26] train-mlogloss:0.02836323363085588 [ Info: [27] train-mlogloss:0.02784623650213083 [ Info: [28] train-mlogloss:0.02737067386507988 [ Info: [29] train-mlogloss:0.02690578047186136 [ Info: [30] train-mlogloss:0.02649235791216294 [ Info: [31] train-mlogloss:0.02611650988459587 [ Info: [32] train-mlogloss:0.02575379549215237 [ Info: [33] train-mlogloss:0.02542512198289235 [ Info: [34] train-mlogloss:0.02512133006006479 [ Info: [35] train-mlogloss:0.02483771500488122 [ Info: [36] train-mlogloss:0.02457668301959832 [ Info: [37] train-mlogloss:0.02432581864297390 [ Info: [38] train-mlogloss:0.02409154644856850 [ Info: [39] train-mlogloss:0.02386584059645732 [ Info: [40] train-mlogloss:0.02364894116918246 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74153190215428666 [ Info: [2] train-mlogloss:0.52924862782160442 [ Info: [3] train-mlogloss:0.38954717199007671 [ Info: [4] train-mlogloss:0.29183966477711998 [ Info: [5] train-mlogloss:0.22464788099129995 [ Info: [6] train-mlogloss:0.17525009612242382 [ Info: [7] train-mlogloss:0.13600637435913085 [ Info: [8] train-mlogloss:0.10698183496793111 [ Info: [9] train-mlogloss:0.08621832708517710 [ Info: [10] train-mlogloss:0.07047080780069033 [ Info: [11] train-mlogloss:0.05841102078557014 [ Info: [12] train-mlogloss:0.04959875881671905 [ Info: [13] train-mlogloss:0.04267523606618245 [ Info: [14] train-mlogloss:0.03795051443080107 [ Info: [15] train-mlogloss:0.03390947677195072 [ Info: [16] train-mlogloss:0.03097593146065871 [ Info: [17] train-mlogloss:0.02883683025836944 [ Info: [18] train-mlogloss:0.02802120925237735 [ Info: [19] train-mlogloss:0.02733161680400371 [ Info: [20] train-mlogloss:0.02667991771052281 [ Info: [21] train-mlogloss:0.02610890614489714 [ Info: [22] train-mlogloss:0.02559354521334171 [ Info: [23] train-mlogloss:0.02508554489662250 [ Info: [24] train-mlogloss:0.02463654015213251 [ Info: [25] train-mlogloss:0.02422298435121775 [ Info: [26] train-mlogloss:0.02384677698214849 [ Info: [27] train-mlogloss:0.02350737514595191 [ Info: [28] train-mlogloss:0.02317410708715518 [ Info: [29] train-mlogloss:0.02287678665171067 [ Info: [30] train-mlogloss:0.02260569301744302 [ Info: [31] train-mlogloss:0.02235901717096567 [ Info: [32] train-mlogloss:0.02215151835232973 [ Info: [33] train-mlogloss:0.02209856610745192 [ Info: [34] train-mlogloss:0.02204435542225838 [ Info: [35] train-mlogloss:0.02199267389873663 [ Info: [36] train-mlogloss:0.02194322232156992 [ Info: [37] train-mlogloss:0.02189150215437015 [ Info: [38] train-mlogloss:0.02184458538889885 [ Info: [39] train-mlogloss:0.02179792642593384 [ Info: [40] train-mlogloss:0.02175255466252565 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64261546293894445 [ Info: [2] train-mlogloss:0.41586577057838442 [ Info: [3] train-mlogloss:0.28065942883491518 [ Info: [4] train-mlogloss:0.19740654269854227 [ Info: [5] train-mlogloss:0.13929163734118144 [ Info: [6] train-mlogloss:0.10083107491334280 [ Info: [7] train-mlogloss:0.07576376001040140 [ Info: [8] train-mlogloss:0.05839542776346206 [ Info: [9] train-mlogloss:0.04679764946301778 [ Info: [10] train-mlogloss:0.03899574970205625 [ Info: [11] train-mlogloss:0.03346466943621636 [ Info: [12] train-mlogloss:0.02957013929883639 [ Info: [13] train-mlogloss:0.02713516066471736 [ Info: [14] train-mlogloss:0.02628571209808191 [ Info: [15] train-mlogloss:0.02538799018909534 [ Info: [16] train-mlogloss:0.02470192531744639 [ Info: [17] train-mlogloss:0.02414622365186612 [ Info: [18] train-mlogloss:0.02359070897102356 [ Info: [19] train-mlogloss:0.02312723786880573 [ Info: [20] train-mlogloss:0.02271932158619165 [ Info: [21] train-mlogloss:0.02237142485876878 [ Info: [22] train-mlogloss:0.02210316224644581 [ Info: [23] train-mlogloss:0.02201746555666129 [ Info: [24] train-mlogloss:0.02194734297692776 [ Info: [25] train-mlogloss:0.02187851512183746 [ Info: [26] train-mlogloss:0.02180727214862903 [ Info: [27] train-mlogloss:0.02174357470124960 [ Info: [28] train-mlogloss:0.02167913272976875 [ Info: [29] train-mlogloss:0.02161400765180588 [ Info: [30] train-mlogloss:0.02155572324991226 [ Info: [31] train-mlogloss:0.02149533590922753 [ Info: [32] train-mlogloss:0.02144231290866931 [ Info: [33] train-mlogloss:0.02139667738229036 [ Info: [34] train-mlogloss:0.02134700515617927 [ Info: [35] train-mlogloss:0.02130494722475608 [ Info: [36] train-mlogloss:0.02125849774107337 [ Info: [37] train-mlogloss:0.02121934560437997 [ Info: [38] train-mlogloss:0.02117594628284375 [ Info: [39] train-mlogloss:0.02113919580976168 [ Info: [40] train-mlogloss:0.02109862611318628 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55385663429896037 [ Info: [2] train-mlogloss:0.32754629174868266 [ Info: [3] train-mlogloss:0.20499385118484498 [ Info: [4] train-mlogloss:0.13689255396525066 [ Info: [5] train-mlogloss:0.09139609475930532 [ Info: [6] train-mlogloss:0.06504172722498576 [ Info: [7] train-mlogloss:0.04894224748015404 [ Info: [8] train-mlogloss:0.03874747902154922 [ Info: [9] train-mlogloss:0.03230060870448748 [ Info: [10] train-mlogloss:0.02788554862141609 [ Info: [11] train-mlogloss:0.02659890923649073 [ Info: [12] train-mlogloss:0.02560024328529835 [ Info: [13] train-mlogloss:0.02489371324578921 [ Info: [14] train-mlogloss:0.02433570122967164 [ Info: [15] train-mlogloss:0.02379033199201027 [ Info: [16] train-mlogloss:0.02333808029691378 [ Info: [17] train-mlogloss:0.02290520902723074 [ Info: [18] train-mlogloss:0.02253118804345528 [ Info: [19] train-mlogloss:0.02225900517155727 [ Info: [20] train-mlogloss:0.02205197310696046 [ Info: [21] train-mlogloss:0.02198284278934201 [ Info: [22] train-mlogloss:0.02191521999736627 [ Info: [23] train-mlogloss:0.02184521324932575 [ Info: [24] train-mlogloss:0.02178380668784181 [ Info: [25] train-mlogloss:0.02172182758649190 [ Info: [26] train-mlogloss:0.02167089482769370 [ Info: [27] train-mlogloss:0.02161757656683524 [ Info: [28] train-mlogloss:0.02156863567108909 [ Info: [29] train-mlogloss:0.02152404478440682 [ Info: [30] train-mlogloss:0.02148225381970405 [ Info: [31] train-mlogloss:0.02143872165431579 [ Info: [32] train-mlogloss:0.02139951734493176 [ Info: [33] train-mlogloss:0.02136273326352239 [ Info: [34] train-mlogloss:0.02132554596289992 [ Info: [35] train-mlogloss:0.02129426575576266 [ Info: [36] train-mlogloss:0.02126008432979385 [ Info: [37] train-mlogloss:0.02122882487252355 [ Info: [38] train-mlogloss:0.02120153484245141 [ Info: [39] train-mlogloss:0.02117241781825821 [ Info: [40] train-mlogloss:0.02114688554778695 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47500392317771911 [ Info: [2] train-mlogloss:0.25647329310576122 [ Info: [3] train-mlogloss:0.14671446919441222 [ Info: [4] train-mlogloss:0.09345171411832173 [ Info: [5] train-mlogloss:0.06167265102267265 [ Info: [6] train-mlogloss:0.04406325330336889 [ Info: [7] train-mlogloss:0.03432271068294843 [ Info: [8] train-mlogloss:0.02843606024980545 [ Info: [9] train-mlogloss:0.02678298931568861 [ Info: [10] train-mlogloss:0.02555399376899004 [ Info: [11] train-mlogloss:0.02463101876278718 [ Info: [12] train-mlogloss:0.02385490866998832 [ Info: [13] train-mlogloss:0.02318497380862633 [ Info: [14] train-mlogloss:0.02276493777831395 [ Info: [15] train-mlogloss:0.02244286598016818 [ Info: [16] train-mlogloss:0.02232541521390279 [ Info: [17] train-mlogloss:0.02207535849263271 [ Info: [18] train-mlogloss:0.02197150999059280 [ Info: [19] train-mlogloss:0.02187818550815185 [ Info: [20] train-mlogloss:0.02179589558392763 [ Info: [21] train-mlogloss:0.02171415068209171 [ Info: [22] train-mlogloss:0.02164662826806307 [ Info: [23] train-mlogloss:0.02159100902577241 [ Info: [24] train-mlogloss:0.02153036470214526 [ Info: [25] train-mlogloss:0.02148114914074540 [ Info: [26] train-mlogloss:0.02142694337914387 [ Info: [27] train-mlogloss:0.02138117296000322 [ Info: [28] train-mlogloss:0.02133839499205351 [ Info: [29] train-mlogloss:0.02128799570103486 [ Info: [30] train-mlogloss:0.02124878792092204 [ Info: [31] train-mlogloss:0.02120412797977527 [ Info: [32] train-mlogloss:0.02116798365488648 [ Info: [33] train-mlogloss:0.02113217575475574 [ Info: [34] train-mlogloss:0.02109859102716049 [ Info: [35] train-mlogloss:0.02106627813229958 [ Info: [36] train-mlogloss:0.02103190706421932 [ Info: [37] train-mlogloss:0.02100178912902872 [ Info: [38] train-mlogloss:0.02097052806988358 [ Info: [39] train-mlogloss:0.02094240543742975 [ Info: [40] train-mlogloss:0.02091384305929144 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96979779720306392 [ Info: [2] train-mlogloss:0.86108473459879553 [ Info: [3] train-mlogloss:0.76814803520838415 [ Info: [4] train-mlogloss:0.68791396458943688 [ Info: [5] train-mlogloss:0.61810828367869064 [ Info: [6] train-mlogloss:0.55699495553970335 [ Info: [7] train-mlogloss:0.50321548302968344 [ Info: [8] train-mlogloss:0.45568506757418314 [ Info: [9] train-mlogloss:0.41352301279703774 [ Info: [10] train-mlogloss:0.37562246680259703 [ Info: [11] train-mlogloss:0.34176592389742533 [ Info: [12] train-mlogloss:0.31179662704467775 [ Info: [13] train-mlogloss:0.28464484135309853 [ Info: [14] train-mlogloss:0.26106922666231791 [ Info: [15] train-mlogloss:0.23961979468663533 [ Info: [16] train-mlogloss:0.22026155849297840 [ Info: [17] train-mlogloss:0.20163254499435423 [ Info: [18] train-mlogloss:0.18484646896521251 [ Info: [19] train-mlogloss:0.16970259090264639 [ Info: [20] train-mlogloss:0.15708536207675933 [ Info: [21] train-mlogloss:0.14462275167306265 [ Info: [22] train-mlogloss:0.13334342817465464 [ Info: [23] train-mlogloss:0.12312674522399902 [ Info: [24] train-mlogloss:0.11383784035841624 [ Info: [25] train-mlogloss:0.10619644194841385 [ Info: [26] train-mlogloss:0.09877438515424729 [ Info: [27] train-mlogloss:0.09201095740000408 [ Info: [28] train-mlogloss:0.08584058354298274 [ Info: [29] train-mlogloss:0.08020548363526663 [ Info: [30] train-mlogloss:0.07505389978488286 [ Info: [31] train-mlogloss:0.07033945878346760 [ Info: [32] train-mlogloss:0.06602048908670743 [ Info: [33] train-mlogloss:0.06205952743689219 [ Info: [34] train-mlogloss:0.05862111662824949 [ Info: [35] train-mlogloss:0.05533699671427409 [ Info: [36] train-mlogloss:0.05243080074588458 [ Info: [37] train-mlogloss:0.04975220496455828 [ Info: [38] train-mlogloss:0.04725930288434028 [ Info: [39] train-mlogloss:0.04511469644804796 [ Info: [40] train-mlogloss:0.04317696293195088 [ Info: [41] train-mlogloss:0.04149420546988646 [ Info: [42] train-mlogloss:0.03985189869999885 [ Info: [43] train-mlogloss:0.03833030484616756 [ Info: [44] train-mlogloss:0.03696443952620029 [ Info: [45] train-mlogloss:0.03568177548547586 [ Info: [46] train-mlogloss:0.03451631039381027 [ Info: [47] train-mlogloss:0.03345349172751109 [ Info: [48] train-mlogloss:0.03245897144079209 [ Info: [49] train-mlogloss:0.03157110077639421 [ Info: [50] train-mlogloss:0.03074013752241929 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85064886331558232 [ Info: [2] train-mlogloss:0.67475288232167563 [ Info: [3] train-mlogloss:0.54382505416870119 [ Info: [4] train-mlogloss:0.44350917617479962 [ Info: [5] train-mlogloss:0.36433205246925354 [ Info: [6] train-mlogloss:0.30221750299135847 [ Info: [7] train-mlogloss:0.25191330154736835 [ Info: [8] train-mlogloss:0.21227565725644429 [ Info: [9] train-mlogloss:0.17793257733186085 [ Info: [10] train-mlogloss:0.15004106998443603 [ Info: [11] train-mlogloss:0.12727944910526276 [ Info: [12] train-mlogloss:0.11028157303730647 [ Info: [13] train-mlogloss:0.09519221742947896 [ Info: [14] train-mlogloss:0.08270041704177857 [ Info: [15] train-mlogloss:0.07229178269704183 [ Info: [16] train-mlogloss:0.06358212590217591 [ Info: [17] train-mlogloss:0.05665388425191244 [ Info: [18] train-mlogloss:0.05058480982979139 [ Info: [19] train-mlogloss:0.04562320734063784 [ Info: [20] train-mlogloss:0.04175503256420295 [ Info: [21] train-mlogloss:0.03848985562721888 [ Info: [22] train-mlogloss:0.03573707054058711 [ Info: [23] train-mlogloss:0.03333749244610468 [ Info: [24] train-mlogloss:0.03134199120104313 [ Info: [25] train-mlogloss:0.02963877665499846 [ Info: [26] train-mlogloss:0.02836323363085588 [ Info: [27] train-mlogloss:0.02784623650213083 [ Info: [28] train-mlogloss:0.02737067386507988 [ Info: [29] train-mlogloss:0.02690578047186136 [ Info: [30] train-mlogloss:0.02649235791216294 [ Info: [31] train-mlogloss:0.02611650988459587 [ Info: [32] train-mlogloss:0.02575379549215237 [ Info: [33] train-mlogloss:0.02542512198289235 [ Info: [34] train-mlogloss:0.02512133006006479 [ Info: [35] train-mlogloss:0.02483771500488122 [ Info: [36] train-mlogloss:0.02457668301959832 [ Info: [37] train-mlogloss:0.02432581864297390 [ Info: [38] train-mlogloss:0.02409154644856850 [ Info: [39] train-mlogloss:0.02386584059645732 [ Info: [40] train-mlogloss:0.02364894116918246 [ Info: [41] train-mlogloss:0.02344590255369743 [ Info: [42] train-mlogloss:0.02324837796390057 [ Info: [43] train-mlogloss:0.02305923202385505 [ Info: [44] train-mlogloss:0.02288195016483466 [ Info: [45] train-mlogloss:0.02271428698052963 [ Info: [46] train-mlogloss:0.02255632570634286 [ Info: [47] train-mlogloss:0.02240734558552504 [ Info: [48] train-mlogloss:0.02226318796475728 [ Info: [49] train-mlogloss:0.02222829910616080 [ Info: [50] train-mlogloss:0.02219552395244440 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74153190215428666 [ Info: [2] train-mlogloss:0.52924862782160442 [ Info: [3] train-mlogloss:0.38954717199007671 [ Info: [4] train-mlogloss:0.29183966477711998 [ Info: [5] train-mlogloss:0.22464788099129995 [ Info: [6] train-mlogloss:0.17525009612242382 [ Info: [7] train-mlogloss:0.13600637435913085 [ Info: [8] train-mlogloss:0.10698183496793111 [ Info: [9] train-mlogloss:0.08621832708517710 [ Info: [10] train-mlogloss:0.07047080780069033 [ Info: [11] train-mlogloss:0.05841102078557014 [ Info: [12] train-mlogloss:0.04959875881671905 [ Info: [13] train-mlogloss:0.04267523606618245 [ Info: [14] train-mlogloss:0.03795051443080107 [ Info: [15] train-mlogloss:0.03390947677195072 [ Info: [16] train-mlogloss:0.03097593146065871 [ Info: [17] train-mlogloss:0.02883683025836944 [ Info: [18] train-mlogloss:0.02802120925237735 [ Info: [19] train-mlogloss:0.02733161680400371 [ Info: [20] train-mlogloss:0.02667991771052281 [ Info: [21] train-mlogloss:0.02610890614489714 [ Info: [22] train-mlogloss:0.02559354521334171 [ Info: [23] train-mlogloss:0.02508554489662250 [ Info: [24] train-mlogloss:0.02463654015213251 [ Info: [25] train-mlogloss:0.02422298435121775 [ Info: [26] train-mlogloss:0.02384677698214849 [ Info: [27] train-mlogloss:0.02350737514595191 [ Info: [28] train-mlogloss:0.02317410708715518 [ Info: [29] train-mlogloss:0.02287678665171067 [ Info: [30] train-mlogloss:0.02260569301744302 [ Info: [31] train-mlogloss:0.02235901717096567 [ Info: [32] train-mlogloss:0.02215151835232973 [ Info: [33] train-mlogloss:0.02209856610745192 [ Info: [34] train-mlogloss:0.02204435542225838 [ Info: [35] train-mlogloss:0.02199267389873663 [ Info: [36] train-mlogloss:0.02194322232156992 [ Info: [37] train-mlogloss:0.02189150215437015 [ Info: [38] train-mlogloss:0.02184458538889885 [ Info: [39] train-mlogloss:0.02179792642593384 [ Info: [40] train-mlogloss:0.02175255466252565 [ Info: [41] train-mlogloss:0.02171221166849137 [ Info: [42] train-mlogloss:0.02166850645095110 [ Info: [43] train-mlogloss:0.02162989893307288 [ Info: [44] train-mlogloss:0.02159113731235266 [ Info: [45] train-mlogloss:0.02155371158073346 [ Info: [46] train-mlogloss:0.02151945637539029 [ Info: [47] train-mlogloss:0.02148326283320785 [ Info: [48] train-mlogloss:0.02145151862874627 [ Info: [49] train-mlogloss:0.02141792264456550 [ Info: [50] train-mlogloss:0.02138700275371472 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64261546293894445 [ Info: [2] train-mlogloss:0.41586577057838442 [ Info: [3] train-mlogloss:0.28065942883491518 [ Info: [4] train-mlogloss:0.19740654269854227 [ Info: [5] train-mlogloss:0.13929163734118144 [ Info: [6] train-mlogloss:0.10083107491334280 [ Info: [7] train-mlogloss:0.07576376001040140 [ Info: [8] train-mlogloss:0.05839542776346206 [ Info: [9] train-mlogloss:0.04679764946301778 [ Info: [10] train-mlogloss:0.03899574970205625 [ Info: [11] train-mlogloss:0.03346466943621636 [ Info: [12] train-mlogloss:0.02957013929883639 [ Info: [13] train-mlogloss:0.02713516066471736 [ Info: [14] train-mlogloss:0.02628571209808191 [ Info: [15] train-mlogloss:0.02538799018909534 [ Info: [16] train-mlogloss:0.02470192531744639 [ Info: [17] train-mlogloss:0.02414622365186612 [ Info: [18] train-mlogloss:0.02359070897102356 [ Info: [19] train-mlogloss:0.02312723786880573 [ Info: [20] train-mlogloss:0.02271932158619165 [ Info: [21] train-mlogloss:0.02237142485876878 [ Info: [22] train-mlogloss:0.02210316224644581 [ Info: [23] train-mlogloss:0.02201746555666129 [ Info: [24] train-mlogloss:0.02194734297692776 [ Info: [25] train-mlogloss:0.02187851512183746 [ Info: [26] train-mlogloss:0.02180727214862903 [ Info: [27] train-mlogloss:0.02174357470124960 [ Info: [28] train-mlogloss:0.02167913272976875 [ Info: [29] train-mlogloss:0.02161400765180588 [ Info: [30] train-mlogloss:0.02155572324991226 [ Info: [31] train-mlogloss:0.02149533590922753 [ Info: [32] train-mlogloss:0.02144231290866931 [ Info: [33] train-mlogloss:0.02139667738229036 [ Info: [34] train-mlogloss:0.02134700515617927 [ Info: [35] train-mlogloss:0.02130494722475608 [ Info: [36] train-mlogloss:0.02125849774107337 [ Info: [37] train-mlogloss:0.02121934560437997 [ Info: [38] train-mlogloss:0.02117594628284375 [ Info: [39] train-mlogloss:0.02113919580976168 [ Info: [40] train-mlogloss:0.02109862611318628 [ Info: [41] train-mlogloss:0.02106400931254029 [ Info: [42] train-mlogloss:0.02102612799654404 [ Info: [43] train-mlogloss:0.02099334820484122 [ Info: [44] train-mlogloss:0.02095795742546519 [ Info: [45] train-mlogloss:0.02092969135070840 [ Info: [46] train-mlogloss:0.02089389765014251 [ Info: [47] train-mlogloss:0.02086642562101285 [ Info: [48] train-mlogloss:0.02083361285428206 [ Info: [49] train-mlogloss:0.02080713493128617 [ Info: [50] train-mlogloss:0.02078593751415610 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55385663429896037 [ Info: [2] train-mlogloss:0.32754629174868266 [ Info: [3] train-mlogloss:0.20499385118484498 [ Info: [4] train-mlogloss:0.13689255396525066 [ Info: [5] train-mlogloss:0.09139609475930532 [ Info: [6] train-mlogloss:0.06504172722498576 [ Info: [7] train-mlogloss:0.04894224748015404 [ Info: [8] train-mlogloss:0.03874747902154922 [ Info: [9] train-mlogloss:0.03230060870448748 [ Info: [10] train-mlogloss:0.02788554862141609 [ Info: [11] train-mlogloss:0.02659890923649073 [ Info: [12] train-mlogloss:0.02560024328529835 [ Info: [13] train-mlogloss:0.02489371324578921 [ Info: [14] train-mlogloss:0.02433570122967164 [ Info: [15] train-mlogloss:0.02379033199201027 [ Info: [16] train-mlogloss:0.02333808029691378 [ Info: [17] train-mlogloss:0.02290520902723074 [ Info: [18] train-mlogloss:0.02253118804345528 [ Info: [19] train-mlogloss:0.02225900517155727 [ Info: [20] train-mlogloss:0.02205197310696046 [ Info: [21] train-mlogloss:0.02198284278934201 [ Info: [22] train-mlogloss:0.02191521999736627 [ Info: [23] train-mlogloss:0.02184521324932575 [ Info: [24] train-mlogloss:0.02178380668784181 [ Info: [25] train-mlogloss:0.02172182758649190 [ Info: [26] train-mlogloss:0.02167089482769370 [ Info: [27] train-mlogloss:0.02161757656683524 [ Info: [28] train-mlogloss:0.02156863567108909 [ Info: [29] train-mlogloss:0.02152404478440682 [ Info: [30] train-mlogloss:0.02148225381970405 [ Info: [31] train-mlogloss:0.02143872165431579 [ Info: [32] train-mlogloss:0.02139951734493176 [ Info: [33] train-mlogloss:0.02136273326352239 [ Info: [34] train-mlogloss:0.02132554596289992 [ Info: [35] train-mlogloss:0.02129426575576266 [ Info: [36] train-mlogloss:0.02126008432979385 [ Info: [37] train-mlogloss:0.02122882487252355 [ Info: [38] train-mlogloss:0.02120153484245141 [ Info: [39] train-mlogloss:0.02117241781825821 [ Info: [40] train-mlogloss:0.02114688554778695 [ Info: [41] train-mlogloss:0.02111985802650452 [ Info: [42] train-mlogloss:0.02109584651887417 [ Info: [43] train-mlogloss:0.02107074964170655 [ Info: [44] train-mlogloss:0.02104641705751419 [ Info: [45] train-mlogloss:0.02102473229790727 [ Info: [46] train-mlogloss:0.02100021498898665 [ Info: [47] train-mlogloss:0.02097958360488216 [ Info: [48] train-mlogloss:0.02095690155401826 [ Info: [49] train-mlogloss:0.02093728421876828 [ Info: [50] train-mlogloss:0.02091628399367134 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47500392317771911 [ Info: [2] train-mlogloss:0.25647329310576122 [ Info: [3] train-mlogloss:0.14671446919441222 [ Info: [4] train-mlogloss:0.09345171411832173 [ Info: [5] train-mlogloss:0.06167265102267265 [ Info: [6] train-mlogloss:0.04406325330336889 [ Info: [7] train-mlogloss:0.03432271068294843 [ Info: [8] train-mlogloss:0.02843606024980545 [ Info: [9] train-mlogloss:0.02678298931568861 [ Info: [10] train-mlogloss:0.02555399376899004 [ Info: [11] train-mlogloss:0.02463101876278718 [ Info: [12] train-mlogloss:0.02385490866998832 [ Info: [13] train-mlogloss:0.02318497380862633 [ Info: [14] train-mlogloss:0.02276493777831395 [ Info: [15] train-mlogloss:0.02244286598016818 [ Info: [16] train-mlogloss:0.02232541521390279 [ Info: [17] train-mlogloss:0.02207535849263271 [ Info: [18] train-mlogloss:0.02197150999059280 [ Info: [19] train-mlogloss:0.02187818550815185 [ Info: [20] train-mlogloss:0.02179589558392763 [ Info: [21] train-mlogloss:0.02171415068209171 [ Info: [22] train-mlogloss:0.02164662826806307 [ Info: [23] train-mlogloss:0.02159100902577241 [ Info: [24] train-mlogloss:0.02153036470214526 [ Info: [25] train-mlogloss:0.02148114914074540 [ Info: [26] train-mlogloss:0.02142694337914387 [ Info: [27] train-mlogloss:0.02138117296000322 [ Info: [28] train-mlogloss:0.02133839499205351 [ Info: [29] train-mlogloss:0.02128799570103486 [ Info: [30] train-mlogloss:0.02124878792092204 [ Info: [31] train-mlogloss:0.02120412797977527 [ Info: [32] train-mlogloss:0.02116798365488648 [ Info: [33] train-mlogloss:0.02113217575475574 [ Info: [34] train-mlogloss:0.02109859102716049 [ Info: [35] train-mlogloss:0.02106627813229958 [ Info: [36] train-mlogloss:0.02103190706421932 [ Info: [37] train-mlogloss:0.02100178912902872 [ Info: [38] train-mlogloss:0.02097052806988358 [ Info: [39] train-mlogloss:0.02094240543742975 [ Info: [40] train-mlogloss:0.02091384305929144 [ Info: [41] train-mlogloss:0.02088756871099273 [ Info: [42] train-mlogloss:0.02086146349708239 [ Info: [43] train-mlogloss:0.02083621274059018 [ Info: [44] train-mlogloss:0.02081249334538976 [ Info: [45] train-mlogloss:0.02078682451198498 [ Info: [46] train-mlogloss:0.02076412431274851 [ Info: [47] train-mlogloss:0.02074030206849178 [ Info: [48] train-mlogloss:0.02071864071612557 [ Info: [49] train-mlogloss:0.02069629552463690 [ Info: [50] train-mlogloss:0.02067597497875492 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97276401519775391 [ Info: [2] train-mlogloss:0.86602064371109011 [ Info: [3] train-mlogloss:0.77441159327824916 [ Info: [4] train-mlogloss:0.69508508125940960 [ Info: [5] train-mlogloss:0.62590426842371627 [ Info: [6] train-mlogloss:0.56281420946121219 [ Info: [7] train-mlogloss:0.50742935458819072 [ Info: [8] train-mlogloss:0.45860896666844686 [ Info: [9] train-mlogloss:0.41539382855097451 [ Info: [10] train-mlogloss:0.37703143437703451 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85618509610493976 [ Info: [2] train-mlogloss:0.68241231520970658 [ Info: [3] train-mlogloss:0.54795334418614705 [ Info: [4] train-mlogloss:0.44531796455383299 [ Info: [5] train-mlogloss:0.36556207219759623 [ Info: [6] train-mlogloss:0.30265833457310992 [ Info: [7] train-mlogloss:0.25255734543005626 [ Info: [8] train-mlogloss:0.21227923333644866 [ Info: [9] train-mlogloss:0.17961440722147623 [ Info: [10] train-mlogloss:0.15300651073455809 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74921868006388348 [ Info: [2] train-mlogloss:0.53819988330205282 [ Info: [3] train-mlogloss:0.39360604405403138 [ Info: [4] train-mlogloss:0.29438603878021241 [ Info: [5] train-mlogloss:0.22448673069477082 [ Info: [6] train-mlogloss:0.17389964779218037 [ Info: [7] train-mlogloss:0.13683667540550232 [ Info: [8] train-mlogloss:0.10890811820824942 [ Info: [9] train-mlogloss:0.08816024988889694 [ Info: [10] train-mlogloss:0.07216073130567868 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65202523708343507 [ Info: [2] train-mlogloss:0.41727733850479126 [ Info: [3] train-mlogloss:0.28082275549570718 [ Info: [4] train-mlogloss:0.19585379143555959 [ Info: [5] train-mlogloss:0.14072860757509867 [ Info: [6] train-mlogloss:0.10367256263891855 [ Info: [7] train-mlogloss:0.07815000454584757 [ Info: [8] train-mlogloss:0.06089223007361094 [ Info: [9] train-mlogloss:0.04841241349776586 [ Info: [10] train-mlogloss:0.03949852774540583 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56456941286722817 [ Info: [2] train-mlogloss:0.32854609409968061 [ Info: [3] train-mlogloss:0.20515629609425862 [ Info: [4] train-mlogloss:0.13488468666871389 [ Info: [5] train-mlogloss:0.09280635684728622 [ Info: [6] train-mlogloss:0.06725192700823147 [ Info: [7] train-mlogloss:0.04983772709965706 [ Info: [8] train-mlogloss:0.03848030077914397 [ Info: [9] train-mlogloss:0.03247636641065280 [ Info: [10] train-mlogloss:0.02777453583975633 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48662217378616335 [ Info: [2] train-mlogloss:0.25928563237190244 [ Info: [3] train-mlogloss:0.15156866153081258 [ Info: [4] train-mlogloss:0.09474133928616842 [ Info: [5] train-mlogloss:0.06350922872622808 [ Info: [6] train-mlogloss:0.04618201563755671 [ Info: [7] train-mlogloss:0.03546863640348116 [ Info: [8] train-mlogloss:0.02932165443897247 [ Info: [9] train-mlogloss:0.02699886515736580 [ Info: [10] train-mlogloss:0.02533011226604382 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97276401519775391 [ Info: [2] train-mlogloss:0.86602064371109011 [ Info: [3] train-mlogloss:0.77441159327824916 [ Info: [4] train-mlogloss:0.69508508125940960 [ Info: [5] train-mlogloss:0.62590426842371627 [ Info: [6] train-mlogloss:0.56281420946121219 [ Info: [7] train-mlogloss:0.50742935458819072 [ Info: [8] train-mlogloss:0.45860896666844686 [ Info: [9] train-mlogloss:0.41539382855097451 [ Info: [10] train-mlogloss:0.37703143437703451 [ Info: [11] train-mlogloss:0.34289182980855304 [ Info: [12] train-mlogloss:0.31240499297777813 [ Info: [13] train-mlogloss:0.28514627178510032 [ Info: [14] train-mlogloss:0.26072371204694111 [ Info: [15] train-mlogloss:0.23880399207274119 [ Info: [16] train-mlogloss:0.21910147110621134 [ Info: [17] train-mlogloss:0.20135244389375051 [ Info: [18] train-mlogloss:0.18535770952701569 [ Info: [19] train-mlogloss:0.17088437139987944 [ Info: [20] train-mlogloss:0.15780788481235505 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85618509610493976 [ Info: [2] train-mlogloss:0.68241231520970658 [ Info: [3] train-mlogloss:0.54795334418614705 [ Info: [4] train-mlogloss:0.44531796455383299 [ Info: [5] train-mlogloss:0.36556207219759623 [ Info: [6] train-mlogloss:0.30265833457310992 [ Info: [7] train-mlogloss:0.25255734543005626 [ Info: [8] train-mlogloss:0.21227923333644866 [ Info: [9] train-mlogloss:0.17961440722147623 [ Info: [10] train-mlogloss:0.15300651073455809 [ Info: [11] train-mlogloss:0.13105174948771794 [ Info: [12] train-mlogloss:0.11276976605256399 [ Info: [13] train-mlogloss:0.09786115050315856 [ Info: [14] train-mlogloss:0.08524220039447149 [ Info: [15] train-mlogloss:0.07488869865735372 [ Info: [16] train-mlogloss:0.06615253746509552 [ Info: [17] train-mlogloss:0.05898709098498026 [ Info: [18] train-mlogloss:0.05276345903674762 [ Info: [19] train-mlogloss:0.04761105835437775 [ Info: [20] train-mlogloss:0.04308276320497195 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74921868006388348 [ Info: [2] train-mlogloss:0.53819988330205282 [ Info: [3] train-mlogloss:0.39360604405403138 [ Info: [4] train-mlogloss:0.29438603878021241 [ Info: [5] train-mlogloss:0.22448673069477082 [ Info: [6] train-mlogloss:0.17389964779218037 [ Info: [7] train-mlogloss:0.13683667540550232 [ Info: [8] train-mlogloss:0.10890811820824942 [ Info: [9] train-mlogloss:0.08816024988889694 [ Info: [10] train-mlogloss:0.07216073130567868 [ Info: [11] train-mlogloss:0.06027649586399397 [ Info: [12] train-mlogloss:0.05083617965380351 [ Info: [13] train-mlogloss:0.04347885665794213 [ Info: [14] train-mlogloss:0.03894774551192919 [ Info: [15] train-mlogloss:0.03456550041834514 [ Info: [16] train-mlogloss:0.03148572226365407 [ Info: [17] train-mlogloss:0.02873417501648267 [ Info: [18] train-mlogloss:0.02754821253319581 [ Info: [19] train-mlogloss:0.02667024405052264 [ Info: [20] train-mlogloss:0.02591477051377297 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65202523708343507 [ Info: [2] train-mlogloss:0.41727733850479126 [ Info: [3] train-mlogloss:0.28082275549570718 [ Info: [4] train-mlogloss:0.19585379143555959 [ Info: [5] train-mlogloss:0.14072860757509867 [ Info: [6] train-mlogloss:0.10367256263891855 [ Info: [7] train-mlogloss:0.07815000454584757 [ Info: [8] train-mlogloss:0.06089223007361094 [ Info: [9] train-mlogloss:0.04841241349776586 [ Info: [10] train-mlogloss:0.03949852774540583 [ Info: [11] train-mlogloss:0.03357401750981807 [ Info: [12] train-mlogloss:0.02980743308862050 [ Info: [13] train-mlogloss:0.02680036887526512 [ Info: [14] train-mlogloss:0.02539919916540384 [ Info: [15] train-mlogloss:0.02437152891109387 [ Info: [16] train-mlogloss:0.02352777152011792 [ Info: [17] train-mlogloss:0.02283098184814056 [ Info: [18] train-mlogloss:0.02226630606999000 [ Info: [19] train-mlogloss:0.02177013809482256 [ Info: [20] train-mlogloss:0.02133605328698953 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56456941286722817 [ Info: [2] train-mlogloss:0.32854609409968061 [ Info: [3] train-mlogloss:0.20515629609425862 [ Info: [4] train-mlogloss:0.13488468666871389 [ Info: [5] train-mlogloss:0.09280635684728622 [ Info: [6] train-mlogloss:0.06725192700823147 [ Info: [7] train-mlogloss:0.04983772709965706 [ Info: [8] train-mlogloss:0.03848030077914397 [ Info: [9] train-mlogloss:0.03247636641065280 [ Info: [10] train-mlogloss:0.02777453583975633 [ Info: [11] train-mlogloss:0.02591918511937062 [ Info: [12] train-mlogloss:0.02463296866665284 [ Info: [13] train-mlogloss:0.02362302386512359 [ Info: [14] train-mlogloss:0.02282354423155387 [ Info: [15] train-mlogloss:0.02218630654116472 [ Info: [16] train-mlogloss:0.02164770213266214 [ Info: [17] train-mlogloss:0.02148972749710083 [ Info: [18] train-mlogloss:0.02134166918694973 [ Info: [19] train-mlogloss:0.02118797782808542 [ Info: [20] train-mlogloss:0.02105350852012634 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48662217378616335 [ Info: [2] train-mlogloss:0.25928563237190244 [ Info: [3] train-mlogloss:0.15156866153081258 [ Info: [4] train-mlogloss:0.09474133928616842 [ Info: [5] train-mlogloss:0.06350922872622808 [ Info: [6] train-mlogloss:0.04618201563755671 [ Info: [7] train-mlogloss:0.03546863640348116 [ Info: [8] train-mlogloss:0.02932165443897247 [ Info: [9] train-mlogloss:0.02699886515736580 [ Info: [10] train-mlogloss:0.02533011226604382 [ Info: [11] train-mlogloss:0.02407748660693566 [ Info: [12] train-mlogloss:0.02314468365162611 [ Info: [13] train-mlogloss:0.02244197307154536 [ Info: [14] train-mlogloss:0.02189216311400135 [ Info: [15] train-mlogloss:0.02167886434122920 [ Info: [16] train-mlogloss:0.02150468949228525 [ Info: [17] train-mlogloss:0.02133994670584798 [ Info: [18] train-mlogloss:0.02117928997303049 [ Info: [19] train-mlogloss:0.02101134163017074 [ Info: [20] train-mlogloss:0.02087871647750338 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97276401519775391 [ Info: [2] train-mlogloss:0.86602064371109011 [ Info: [3] train-mlogloss:0.77441159327824916 [ Info: [4] train-mlogloss:0.69508508125940960 [ Info: [5] train-mlogloss:0.62590426842371627 [ Info: [6] train-mlogloss:0.56281420946121219 [ Info: [7] train-mlogloss:0.50742935458819072 [ Info: [8] train-mlogloss:0.45860896666844686 [ Info: [9] train-mlogloss:0.41539382855097451 [ Info: [10] train-mlogloss:0.37703143437703451 [ Info: [11] train-mlogloss:0.34289182980855304 [ Info: [12] train-mlogloss:0.31240499297777813 [ Info: [13] train-mlogloss:0.28514627178510032 [ Info: [14] train-mlogloss:0.26072371204694111 [ Info: [15] train-mlogloss:0.23880399207274119 [ Info: [16] train-mlogloss:0.21910147110621134 [ Info: [17] train-mlogloss:0.20135244389375051 [ Info: [18] train-mlogloss:0.18535770952701569 [ Info: [19] train-mlogloss:0.17088437139987944 [ Info: [20] train-mlogloss:0.15780788481235505 [ Info: [21] train-mlogloss:0.14591311395168305 [ Info: [22] train-mlogloss:0.13511791159709294 [ Info: [23] train-mlogloss:0.12530965288480123 [ Info: [24] train-mlogloss:0.11638860980669657 [ Info: [25] train-mlogloss:0.10819697519143423 [ Info: [26] train-mlogloss:0.10082016319036484 [ Info: [27] train-mlogloss:0.09400617937246958 [ Info: [28] train-mlogloss:0.08786188036203385 [ Info: [29] train-mlogloss:0.08217127869526546 [ Info: [30] train-mlogloss:0.07703237776954969 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85618509610493976 [ Info: [2] train-mlogloss:0.68241231520970658 [ Info: [3] train-mlogloss:0.54795334418614705 [ Info: [4] train-mlogloss:0.44531796455383299 [ Info: [5] train-mlogloss:0.36556207219759623 [ Info: [6] train-mlogloss:0.30265833457310992 [ Info: [7] train-mlogloss:0.25255734543005626 [ Info: [8] train-mlogloss:0.21227923333644866 [ Info: [9] train-mlogloss:0.17961440722147623 [ Info: [10] train-mlogloss:0.15300651073455809 [ Info: [11] train-mlogloss:0.13105174948771794 [ Info: [12] train-mlogloss:0.11276976605256399 [ Info: [13] train-mlogloss:0.09786115050315856 [ Info: [14] train-mlogloss:0.08524220039447149 [ Info: [15] train-mlogloss:0.07488869865735372 [ Info: [16] train-mlogloss:0.06615253746509552 [ Info: [17] train-mlogloss:0.05898709098498026 [ Info: [18] train-mlogloss:0.05276345903674762 [ Info: [19] train-mlogloss:0.04761105835437775 [ Info: [20] train-mlogloss:0.04308276320497195 [ Info: [21] train-mlogloss:0.04006012367705504 [ Info: [22] train-mlogloss:0.03742792710661888 [ Info: [23] train-mlogloss:0.03482342851658662 [ Info: [24] train-mlogloss:0.03271696619689465 [ Info: [25] train-mlogloss:0.03074291264017423 [ Info: [26] train-mlogloss:0.02917144872248173 [ Info: [27] train-mlogloss:0.02837251860648394 [ Info: [28] train-mlogloss:0.02763206200053294 [ Info: [29] train-mlogloss:0.02703288360188405 [ Info: [30] train-mlogloss:0.02649115374932686 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74921868006388348 [ Info: [2] train-mlogloss:0.53819988330205282 [ Info: [3] train-mlogloss:0.39360604405403138 [ Info: [4] train-mlogloss:0.29438603878021241 [ Info: [5] train-mlogloss:0.22448673069477082 [ Info: [6] train-mlogloss:0.17389964779218037 [ Info: [7] train-mlogloss:0.13683667540550232 [ Info: [8] train-mlogloss:0.10890811820824942 [ Info: [9] train-mlogloss:0.08816024988889694 [ Info: [10] train-mlogloss:0.07216073130567868 [ Info: [11] train-mlogloss:0.06027649586399397 [ Info: [12] train-mlogloss:0.05083617965380351 [ Info: [13] train-mlogloss:0.04347885665794213 [ Info: [14] train-mlogloss:0.03894774551192919 [ Info: [15] train-mlogloss:0.03456550041834514 [ Info: [16] train-mlogloss:0.03148572226365407 [ Info: [17] train-mlogloss:0.02873417501648267 [ Info: [18] train-mlogloss:0.02754821253319581 [ Info: [19] train-mlogloss:0.02667024405052264 [ Info: [20] train-mlogloss:0.02591477051377297 [ Info: [21] train-mlogloss:0.02526249773800373 [ Info: [22] train-mlogloss:0.02469767857342959 [ Info: [23] train-mlogloss:0.02420727297663689 [ Info: [24] train-mlogloss:0.02377268445988496 [ Info: [25] train-mlogloss:0.02337673819313447 [ Info: [26] train-mlogloss:0.02302073929458857 [ Info: [27] train-mlogloss:0.02269616267333428 [ Info: [28] train-mlogloss:0.02239960387349129 [ Info: [29] train-mlogloss:0.02212966658174991 [ Info: [30] train-mlogloss:0.02187863623102506 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65202523708343507 [ Info: [2] train-mlogloss:0.41727733850479126 [ Info: [3] train-mlogloss:0.28082275549570718 [ Info: [4] train-mlogloss:0.19585379143555959 [ Info: [5] train-mlogloss:0.14072860757509867 [ Info: [6] train-mlogloss:0.10367256263891855 [ Info: [7] train-mlogloss:0.07815000454584757 [ Info: [8] train-mlogloss:0.06089223007361094 [ Info: [9] train-mlogloss:0.04841241349776586 [ Info: [10] train-mlogloss:0.03949852774540583 [ Info: [11] train-mlogloss:0.03357401750981807 [ Info: [12] train-mlogloss:0.02980743308862050 [ Info: [13] train-mlogloss:0.02680036887526512 [ Info: [14] train-mlogloss:0.02539919916540384 [ Info: [15] train-mlogloss:0.02437152891109387 [ Info: [16] train-mlogloss:0.02352777152011792 [ Info: [17] train-mlogloss:0.02283098184814056 [ Info: [18] train-mlogloss:0.02226630606999000 [ Info: [19] train-mlogloss:0.02177013809482256 [ Info: [20] train-mlogloss:0.02133605328698953 [ Info: [21] train-mlogloss:0.02118143918613593 [ Info: [22] train-mlogloss:0.02105690414706866 [ Info: [23] train-mlogloss:0.02095281209796667 [ Info: [24] train-mlogloss:0.02087205872560541 [ Info: [25] train-mlogloss:0.02080794441824158 [ Info: [26] train-mlogloss:0.02075613451500734 [ Info: [27] train-mlogloss:0.02071164495001237 [ Info: [28] train-mlogloss:0.02067389905452728 [ Info: [29] train-mlogloss:0.02064076955740651 [ Info: [30] train-mlogloss:0.02061215226848920 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56456941286722817 [ Info: [2] train-mlogloss:0.32854609409968061 [ Info: [3] train-mlogloss:0.20515629609425862 [ Info: [4] train-mlogloss:0.13488468666871389 [ Info: [5] train-mlogloss:0.09280635684728622 [ Info: [6] train-mlogloss:0.06725192700823147 [ Info: [7] train-mlogloss:0.04983772709965706 [ Info: [8] train-mlogloss:0.03848030077914397 [ Info: [9] train-mlogloss:0.03247636641065280 [ Info: [10] train-mlogloss:0.02777453583975633 [ Info: [11] train-mlogloss:0.02591918511937062 [ Info: [12] train-mlogloss:0.02463296866665284 [ Info: [13] train-mlogloss:0.02362302386512359 [ Info: [14] train-mlogloss:0.02282354423155387 [ Info: [15] train-mlogloss:0.02218630654116472 [ Info: [16] train-mlogloss:0.02164770213266214 [ Info: [17] train-mlogloss:0.02148972749710083 [ Info: [18] train-mlogloss:0.02134166918694973 [ Info: [19] train-mlogloss:0.02118797782808542 [ Info: [20] train-mlogloss:0.02105350852012634 [ Info: [21] train-mlogloss:0.02091347084691127 [ Info: [22] train-mlogloss:0.02078006707131863 [ Info: [23] train-mlogloss:0.02066977410266797 [ Info: [24] train-mlogloss:0.02056188094119231 [ Info: [25] train-mlogloss:0.02047344819953044 [ Info: [26] train-mlogloss:0.02038510608797272 [ Info: [27] train-mlogloss:0.02031304450705648 [ Info: [28] train-mlogloss:0.02025499500334263 [ Info: [29] train-mlogloss:0.02020556742325425 [ Info: [30] train-mlogloss:0.02016454761226972 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48662217378616335 [ Info: [2] train-mlogloss:0.25928563237190244 [ Info: [3] train-mlogloss:0.15156866153081258 [ Info: [4] train-mlogloss:0.09474133928616842 [ Info: [5] train-mlogloss:0.06350922872622808 [ Info: [6] train-mlogloss:0.04618201563755671 [ Info: [7] train-mlogloss:0.03546863640348116 [ Info: [8] train-mlogloss:0.02932165443897247 [ Info: [9] train-mlogloss:0.02699886515736580 [ Info: [10] train-mlogloss:0.02533011226604382 [ Info: [11] train-mlogloss:0.02407748660693566 [ Info: [12] train-mlogloss:0.02314468365162611 [ Info: [13] train-mlogloss:0.02244197307154536 [ Info: [14] train-mlogloss:0.02189216311400135 [ Info: [15] train-mlogloss:0.02167886434122920 [ Info: [16] train-mlogloss:0.02150468949228525 [ Info: [17] train-mlogloss:0.02133994670584798 [ Info: [18] train-mlogloss:0.02117928997303049 [ Info: [19] train-mlogloss:0.02101134163017074 [ Info: [20] train-mlogloss:0.02087871647750338 [ Info: [21] train-mlogloss:0.02074146290620168 [ Info: [22] train-mlogloss:0.02064127021158735 [ Info: [23] train-mlogloss:0.02053778225556016 [ Info: [24] train-mlogloss:0.02045468013733625 [ Info: [25] train-mlogloss:0.02037613731498520 [ Info: [26] train-mlogloss:0.02030836860959729 [ Info: [27] train-mlogloss:0.02024857729673386 [ Info: [28] train-mlogloss:0.02018982831388712 [ Info: [29] train-mlogloss:0.02014404293770591 [ Info: [30] train-mlogloss:0.02009523324668407 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97276401519775391 [ Info: [2] train-mlogloss:0.86602064371109011 [ Info: [3] train-mlogloss:0.77441159327824916 [ Info: [4] train-mlogloss:0.69508508125940960 [ Info: [5] train-mlogloss:0.62590426842371627 [ Info: [6] train-mlogloss:0.56281420946121219 [ Info: [7] train-mlogloss:0.50742935458819072 [ Info: [8] train-mlogloss:0.45860896666844686 [ Info: [9] train-mlogloss:0.41539382855097451 [ Info: [10] train-mlogloss:0.37703143437703451 [ Info: [11] train-mlogloss:0.34289182980855304 [ Info: [12] train-mlogloss:0.31240499297777813 [ Info: [13] train-mlogloss:0.28514627178510032 [ Info: [14] train-mlogloss:0.26072371204694111 [ Info: [15] train-mlogloss:0.23880399207274119 [ Info: [16] train-mlogloss:0.21910147110621134 [ Info: [17] train-mlogloss:0.20135244389375051 [ Info: [18] train-mlogloss:0.18535770952701569 [ Info: [19] train-mlogloss:0.17088437139987944 [ Info: [20] train-mlogloss:0.15780788481235505 [ Info: [21] train-mlogloss:0.14591311395168305 [ Info: [22] train-mlogloss:0.13511791159709294 [ Info: [23] train-mlogloss:0.12530965288480123 [ Info: [24] train-mlogloss:0.11638860980669657 [ Info: [25] train-mlogloss:0.10819697519143423 [ Info: [26] train-mlogloss:0.10082016319036484 [ Info: [27] train-mlogloss:0.09400617937246958 [ Info: [28] train-mlogloss:0.08786188036203385 [ Info: [29] train-mlogloss:0.08217127869526546 [ Info: [30] train-mlogloss:0.07703237776954969 [ Info: [31] train-mlogloss:0.07226067761580149 [ Info: [32] train-mlogloss:0.06802258754769962 [ Info: [33] train-mlogloss:0.06400788148244221 [ Info: [34] train-mlogloss:0.06042843456069628 [ Info: [35] train-mlogloss:0.05707068944970767 [ Info: [36] train-mlogloss:0.05399728024999301 [ Info: [37] train-mlogloss:0.05116087233026823 [ Info: [38] train-mlogloss:0.04854005753993988 [ Info: [39] train-mlogloss:0.04613117876152197 [ Info: [40] train-mlogloss:0.04399499066174031 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85618509610493976 [ Info: [2] train-mlogloss:0.68241231520970658 [ Info: [3] train-mlogloss:0.54795334418614705 [ Info: [4] train-mlogloss:0.44531796455383299 [ Info: [5] train-mlogloss:0.36556207219759623 [ Info: [6] train-mlogloss:0.30265833457310992 [ Info: [7] train-mlogloss:0.25255734543005626 [ Info: [8] train-mlogloss:0.21227923333644866 [ Info: [9] train-mlogloss:0.17961440722147623 [ Info: [10] train-mlogloss:0.15300651073455809 [ Info: [11] train-mlogloss:0.13105174948771794 [ Info: [12] train-mlogloss:0.11276976605256399 [ Info: [13] train-mlogloss:0.09786115050315856 [ Info: [14] train-mlogloss:0.08524220039447149 [ Info: [15] train-mlogloss:0.07488869865735372 [ Info: [16] train-mlogloss:0.06615253746509552 [ Info: [17] train-mlogloss:0.05898709098498026 [ Info: [18] train-mlogloss:0.05276345903674762 [ Info: [19] train-mlogloss:0.04761105835437775 [ Info: [20] train-mlogloss:0.04308276320497195 [ Info: [21] train-mlogloss:0.04006012367705504 [ Info: [22] train-mlogloss:0.03742792710661888 [ Info: [23] train-mlogloss:0.03482342851658662 [ Info: [24] train-mlogloss:0.03271696619689465 [ Info: [25] train-mlogloss:0.03074291264017423 [ Info: [26] train-mlogloss:0.02917144872248173 [ Info: [27] train-mlogloss:0.02837251860648394 [ Info: [28] train-mlogloss:0.02763206200053294 [ Info: [29] train-mlogloss:0.02703288360188405 [ Info: [30] train-mlogloss:0.02649115374932686 [ Info: [31] train-mlogloss:0.02600044552236795 [ Info: [32] train-mlogloss:0.02555546913295984 [ Info: [33] train-mlogloss:0.02515131601442893 [ Info: [34] train-mlogloss:0.02478383131325245 [ Info: [35] train-mlogloss:0.02444933253029982 [ Info: [36] train-mlogloss:0.02413981253902117 [ Info: [37] train-mlogloss:0.02385026905685663 [ Info: [38] train-mlogloss:0.02357992857694626 [ Info: [39] train-mlogloss:0.02332762621343136 [ Info: [40] train-mlogloss:0.02308975329001745 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74921868006388348 [ Info: [2] train-mlogloss:0.53819988330205282 [ Info: [3] train-mlogloss:0.39360604405403138 [ Info: [4] train-mlogloss:0.29438603878021241 [ Info: [5] train-mlogloss:0.22448673069477082 [ Info: [6] train-mlogloss:0.17389964779218037 [ Info: [7] train-mlogloss:0.13683667540550232 [ Info: [8] train-mlogloss:0.10890811820824942 [ Info: [9] train-mlogloss:0.08816024988889694 [ Info: [10] train-mlogloss:0.07216073130567868 [ Info: [11] train-mlogloss:0.06027649586399397 [ Info: [12] train-mlogloss:0.05083617965380351 [ Info: [13] train-mlogloss:0.04347885665794213 [ Info: [14] train-mlogloss:0.03894774551192919 [ Info: [15] train-mlogloss:0.03456550041834514 [ Info: [16] train-mlogloss:0.03148572226365407 [ Info: [17] train-mlogloss:0.02873417501648267 [ Info: [18] train-mlogloss:0.02754821253319581 [ Info: [19] train-mlogloss:0.02667024405052264 [ Info: [20] train-mlogloss:0.02591477051377297 [ Info: [21] train-mlogloss:0.02526249773800373 [ Info: [22] train-mlogloss:0.02469767857342959 [ Info: [23] train-mlogloss:0.02420727297663689 [ Info: [24] train-mlogloss:0.02377268445988496 [ Info: [25] train-mlogloss:0.02337673819313447 [ Info: [26] train-mlogloss:0.02302073929458857 [ Info: [27] train-mlogloss:0.02269616267333428 [ Info: [28] train-mlogloss:0.02239960387349129 [ Info: [29] train-mlogloss:0.02212966658174991 [ Info: [30] train-mlogloss:0.02187863623102506 [ Info: [31] train-mlogloss:0.02177422292530537 [ Info: [32] train-mlogloss:0.02167030895749728 [ Info: [33] train-mlogloss:0.02157615499570966 [ Info: [34] train-mlogloss:0.02147939649720987 [ Info: [35] train-mlogloss:0.02138176633665959 [ Info: [36] train-mlogloss:0.02129411415507396 [ Info: [37] train-mlogloss:0.02120443930228551 [ Info: [38] train-mlogloss:0.02111650834480922 [ Info: [39] train-mlogloss:0.02103068844725688 [ Info: [40] train-mlogloss:0.02094943861787518 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65202523708343507 [ Info: [2] train-mlogloss:0.41727733850479126 [ Info: [3] train-mlogloss:0.28082275549570718 [ Info: [4] train-mlogloss:0.19585379143555959 [ Info: [5] train-mlogloss:0.14072860757509867 [ Info: [6] train-mlogloss:0.10367256263891855 [ Info: [7] train-mlogloss:0.07815000454584757 [ Info: [8] train-mlogloss:0.06089223007361094 [ Info: [9] train-mlogloss:0.04841241349776586 [ Info: [10] train-mlogloss:0.03949852774540583 [ Info: [11] train-mlogloss:0.03357401750981807 [ Info: [12] train-mlogloss:0.02980743308862050 [ Info: [13] train-mlogloss:0.02680036887526512 [ Info: [14] train-mlogloss:0.02539919916540384 [ Info: [15] train-mlogloss:0.02437152891109387 [ Info: [16] train-mlogloss:0.02352777152011792 [ Info: [17] train-mlogloss:0.02283098184814056 [ Info: [18] train-mlogloss:0.02226630606999000 [ Info: [19] train-mlogloss:0.02177013809482256 [ Info: [20] train-mlogloss:0.02133605328698953 [ Info: [21] train-mlogloss:0.02118143918613593 [ Info: [22] train-mlogloss:0.02105690414706866 [ Info: [23] train-mlogloss:0.02095281209796667 [ Info: [24] train-mlogloss:0.02087205872560541 [ Info: [25] train-mlogloss:0.02080794441824158 [ Info: [26] train-mlogloss:0.02075613451500734 [ Info: [27] train-mlogloss:0.02071164495001237 [ Info: [28] train-mlogloss:0.02067389905452728 [ Info: [29] train-mlogloss:0.02064076955740651 [ Info: [30] train-mlogloss:0.02061215226848920 [ Info: [31] train-mlogloss:0.02058666942020257 [ Info: [32] train-mlogloss:0.02056444153810541 [ Info: [33] train-mlogloss:0.02054457493747274 [ Info: [34] train-mlogloss:0.02052707138781746 [ Info: [35] train-mlogloss:0.02051133972903093 [ Info: [36] train-mlogloss:0.02049750228722890 [ Info: [37] train-mlogloss:0.02048504372437795 [ Info: [38] train-mlogloss:0.02047401099155347 [ Info: [39] train-mlogloss:0.02046404063080748 [ Info: [40] train-mlogloss:0.02045521823068460 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56456941286722817 [ Info: [2] train-mlogloss:0.32854609409968061 [ Info: [3] train-mlogloss:0.20515629609425862 [ Info: [4] train-mlogloss:0.13488468666871389 [ Info: [5] train-mlogloss:0.09280635684728622 [ Info: [6] train-mlogloss:0.06725192700823147 [ Info: [7] train-mlogloss:0.04983772709965706 [ Info: [8] train-mlogloss:0.03848030077914397 [ Info: [9] train-mlogloss:0.03247636641065280 [ Info: [10] train-mlogloss:0.02777453583975633 [ Info: [11] train-mlogloss:0.02591918511937062 [ Info: [12] train-mlogloss:0.02463296866665284 [ Info: [13] train-mlogloss:0.02362302386512359 [ Info: [14] train-mlogloss:0.02282354423155387 [ Info: [15] train-mlogloss:0.02218630654116472 [ Info: [16] train-mlogloss:0.02164770213266214 [ Info: [17] train-mlogloss:0.02148972749710083 [ Info: [18] train-mlogloss:0.02134166918694973 [ Info: [19] train-mlogloss:0.02118797782808542 [ Info: [20] train-mlogloss:0.02105350852012634 [ Info: [21] train-mlogloss:0.02091347084691127 [ Info: [22] train-mlogloss:0.02078006707131863 [ Info: [23] train-mlogloss:0.02066977410266797 [ Info: [24] train-mlogloss:0.02056188094119231 [ Info: [25] train-mlogloss:0.02047344819953044 [ Info: [26] train-mlogloss:0.02038510608797272 [ Info: [27] train-mlogloss:0.02031304450705648 [ Info: [28] train-mlogloss:0.02025499500334263 [ Info: [29] train-mlogloss:0.02020556742325425 [ Info: [30] train-mlogloss:0.02016454761226972 [ Info: [31] train-mlogloss:0.02012893019244075 [ Info: [32] train-mlogloss:0.02009884722530842 [ Info: [33] train-mlogloss:0.02007249304403861 [ Info: [34] train-mlogloss:0.02004998729253809 [ Info: [35] train-mlogloss:0.02003028651078542 [ Info: [36] train-mlogloss:0.02001337793966134 [ Info: [37] train-mlogloss:0.01999849867075682 [ Info: [38] train-mlogloss:0.01998572863638401 [ Info: [39] train-mlogloss:0.01997450785090526 [ Info: [40] train-mlogloss:0.01996480318407218 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48662217378616335 [ Info: [2] train-mlogloss:0.25928563237190244 [ Info: [3] train-mlogloss:0.15156866153081258 [ Info: [4] train-mlogloss:0.09474133928616842 [ Info: [5] train-mlogloss:0.06350922872622808 [ Info: [6] train-mlogloss:0.04618201563755671 [ Info: [7] train-mlogloss:0.03546863640348116 [ Info: [8] train-mlogloss:0.02932165443897247 [ Info: [9] train-mlogloss:0.02699886515736580 [ Info: [10] train-mlogloss:0.02533011226604382 [ Info: [11] train-mlogloss:0.02407748660693566 [ Info: [12] train-mlogloss:0.02314468365162611 [ Info: [13] train-mlogloss:0.02244197307154536 [ Info: [14] train-mlogloss:0.02189216311400135 [ Info: [15] train-mlogloss:0.02167886434122920 [ Info: [16] train-mlogloss:0.02150468949228525 [ Info: [17] train-mlogloss:0.02133994670584798 [ Info: [18] train-mlogloss:0.02117928997303049 [ Info: [19] train-mlogloss:0.02101134163017074 [ Info: [20] train-mlogloss:0.02087871647750338 [ Info: [21] train-mlogloss:0.02074146290620168 [ Info: [22] train-mlogloss:0.02064127021158735 [ Info: [23] train-mlogloss:0.02053778225556016 [ Info: [24] train-mlogloss:0.02045468013733625 [ Info: [25] train-mlogloss:0.02037613731498520 [ Info: [26] train-mlogloss:0.02030836860959729 [ Info: [27] train-mlogloss:0.02024857729673386 [ Info: [28] train-mlogloss:0.02018982831388712 [ Info: [29] train-mlogloss:0.02014404293770591 [ Info: [30] train-mlogloss:0.02009523324668407 [ Info: [31] train-mlogloss:0.02005533716951807 [ Info: [32] train-mlogloss:0.02002388641238213 [ Info: [33] train-mlogloss:0.01999716844409704 [ Info: [34] train-mlogloss:0.01997555812820792 [ Info: [35] train-mlogloss:0.01995686565215389 [ Info: [36] train-mlogloss:0.01994171394035220 [ Info: [37] train-mlogloss:0.01992846670250098 [ Info: [38] train-mlogloss:0.01991768499836326 [ Info: [39] train-mlogloss:0.01990823321044445 [ Info: [40] train-mlogloss:0.01990056599179904 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97276401519775391 [ Info: [2] train-mlogloss:0.86602064371109011 [ Info: [3] train-mlogloss:0.77441159327824916 [ Info: [4] train-mlogloss:0.69508508125940960 [ Info: [5] train-mlogloss:0.62590426842371627 [ Info: [6] train-mlogloss:0.56281420946121219 [ Info: [7] train-mlogloss:0.50742935458819072 [ Info: [8] train-mlogloss:0.45860896666844686 [ Info: [9] train-mlogloss:0.41539382855097451 [ Info: [10] train-mlogloss:0.37703143437703451 [ Info: [11] train-mlogloss:0.34289182980855304 [ Info: [12] train-mlogloss:0.31240499297777813 [ Info: [13] train-mlogloss:0.28514627178510032 [ Info: [14] train-mlogloss:0.26072371204694111 [ Info: [15] train-mlogloss:0.23880399207274119 [ Info: [16] train-mlogloss:0.21910147110621134 [ Info: [17] train-mlogloss:0.20135244389375051 [ Info: [18] train-mlogloss:0.18535770952701569 [ Info: [19] train-mlogloss:0.17088437139987944 [ Info: [20] train-mlogloss:0.15780788481235505 [ Info: [21] train-mlogloss:0.14591311395168305 [ Info: [22] train-mlogloss:0.13511791159709294 [ Info: [23] train-mlogloss:0.12530965288480123 [ Info: [24] train-mlogloss:0.11638860980669657 [ Info: [25] train-mlogloss:0.10819697519143423 [ Info: [26] train-mlogloss:0.10082016319036484 [ Info: [27] train-mlogloss:0.09400617937246958 [ Info: [28] train-mlogloss:0.08786188036203385 [ Info: [29] train-mlogloss:0.08217127869526546 [ Info: [30] train-mlogloss:0.07703237776954969 [ Info: [31] train-mlogloss:0.07226067761580149 [ Info: [32] train-mlogloss:0.06802258754769962 [ Info: [33] train-mlogloss:0.06400788148244221 [ Info: [34] train-mlogloss:0.06042843456069628 [ Info: [35] train-mlogloss:0.05707068944970767 [ Info: [36] train-mlogloss:0.05399728024999301 [ Info: [37] train-mlogloss:0.05116087233026823 [ Info: [38] train-mlogloss:0.04854005753993988 [ Info: [39] train-mlogloss:0.04613117876152197 [ Info: [40] train-mlogloss:0.04399499066174031 [ Info: [41] train-mlogloss:0.04237558238208294 [ Info: [42] train-mlogloss:0.04090107883016268 [ Info: [43] train-mlogloss:0.03923425855735937 [ Info: [44] train-mlogloss:0.03791169812281926 [ Info: [45] train-mlogloss:0.03650361043711503 [ Info: [46] train-mlogloss:0.03529368934532007 [ Info: [47] train-mlogloss:0.03424760622282823 [ Info: [48] train-mlogloss:0.03312870559593042 [ Info: [49] train-mlogloss:0.03219416044652462 [ Info: [50] train-mlogloss:0.03120445631444454 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85618509610493976 [ Info: [2] train-mlogloss:0.68241231520970658 [ Info: [3] train-mlogloss:0.54795334418614705 [ Info: [4] train-mlogloss:0.44531796455383299 [ Info: [5] train-mlogloss:0.36556207219759623 [ Info: [6] train-mlogloss:0.30265833457310992 [ Info: [7] train-mlogloss:0.25255734543005626 [ Info: [8] train-mlogloss:0.21227923333644866 [ Info: [9] train-mlogloss:0.17961440722147623 [ Info: [10] train-mlogloss:0.15300651073455809 [ Info: [11] train-mlogloss:0.13105174948771794 [ Info: [12] train-mlogloss:0.11276976605256399 [ Info: [13] train-mlogloss:0.09786115050315856 [ Info: [14] train-mlogloss:0.08524220039447149 [ Info: [15] train-mlogloss:0.07488869865735372 [ Info: [16] train-mlogloss:0.06615253746509552 [ Info: [17] train-mlogloss:0.05898709098498026 [ Info: [18] train-mlogloss:0.05276345903674762 [ Info: [19] train-mlogloss:0.04761105835437775 [ Info: [20] train-mlogloss:0.04308276320497195 [ Info: [21] train-mlogloss:0.04006012367705504 [ Info: [22] train-mlogloss:0.03742792710661888 [ Info: [23] train-mlogloss:0.03482342851658662 [ Info: [24] train-mlogloss:0.03271696619689465 [ Info: [25] train-mlogloss:0.03074291264017423 [ Info: [26] train-mlogloss:0.02917144872248173 [ Info: [27] train-mlogloss:0.02837251860648394 [ Info: [28] train-mlogloss:0.02763206200053294 [ Info: [29] train-mlogloss:0.02703288360188405 [ Info: [30] train-mlogloss:0.02649115374932686 [ Info: [31] train-mlogloss:0.02600044552236795 [ Info: [32] train-mlogloss:0.02555546913295984 [ Info: [33] train-mlogloss:0.02515131601442893 [ Info: [34] train-mlogloss:0.02478383131325245 [ Info: [35] train-mlogloss:0.02444933253029982 [ Info: [36] train-mlogloss:0.02413981253902117 [ Info: [37] train-mlogloss:0.02385026905685663 [ Info: [38] train-mlogloss:0.02357992857694626 [ Info: [39] train-mlogloss:0.02332762621343136 [ Info: [40] train-mlogloss:0.02308975329001745 [ Info: [41] train-mlogloss:0.02286849092692137 [ Info: [42] train-mlogloss:0.02265761756648620 [ Info: [43] train-mlogloss:0.02246236093342304 [ Info: [44] train-mlogloss:0.02227412423739831 [ Info: [45] train-mlogloss:0.02210029034564892 [ Info: [46] train-mlogloss:0.02193182239929835 [ Info: [47] train-mlogloss:0.02177515315512816 [ Info: [48] train-mlogloss:0.02162436336278915 [ Info: [49] train-mlogloss:0.02155355333040158 [ Info: [50] train-mlogloss:0.02148455083370209 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74921868006388348 [ Info: [2] train-mlogloss:0.53819988330205282 [ Info: [3] train-mlogloss:0.39360604405403138 [ Info: [4] train-mlogloss:0.29438603878021241 [ Info: [5] train-mlogloss:0.22448673069477082 [ Info: [6] train-mlogloss:0.17389964779218037 [ Info: [7] train-mlogloss:0.13683667540550232 [ Info: [8] train-mlogloss:0.10890811820824942 [ Info: [9] train-mlogloss:0.08816024988889694 [ Info: [10] train-mlogloss:0.07216073130567868 [ Info: [11] train-mlogloss:0.06027649586399397 [ Info: [12] train-mlogloss:0.05083617965380351 [ Info: [13] train-mlogloss:0.04347885665794213 [ Info: [14] train-mlogloss:0.03894774551192919 [ Info: [15] train-mlogloss:0.03456550041834514 [ Info: [16] train-mlogloss:0.03148572226365407 [ Info: [17] train-mlogloss:0.02873417501648267 [ Info: [18] train-mlogloss:0.02754821253319581 [ Info: [19] train-mlogloss:0.02667024405052264 [ Info: [20] train-mlogloss:0.02591477051377297 [ Info: [21] train-mlogloss:0.02526249773800373 [ Info: [22] train-mlogloss:0.02469767857342959 [ Info: [23] train-mlogloss:0.02420727297663689 [ Info: [24] train-mlogloss:0.02377268445988496 [ Info: [25] train-mlogloss:0.02337673819313447 [ Info: [26] train-mlogloss:0.02302073929458857 [ Info: [27] train-mlogloss:0.02269616267333428 [ Info: [28] train-mlogloss:0.02239960387349129 [ Info: [29] train-mlogloss:0.02212966658174991 [ Info: [30] train-mlogloss:0.02187863623102506 [ Info: [31] train-mlogloss:0.02177422292530537 [ Info: [32] train-mlogloss:0.02167030895749728 [ Info: [33] train-mlogloss:0.02157615499570966 [ Info: [34] train-mlogloss:0.02147939649720987 [ Info: [35] train-mlogloss:0.02138176633665959 [ Info: [36] train-mlogloss:0.02129411415507396 [ Info: [37] train-mlogloss:0.02120443930228551 [ Info: [38] train-mlogloss:0.02111650834480922 [ Info: [39] train-mlogloss:0.02103068844725688 [ Info: [40] train-mlogloss:0.02094943861787518 [ Info: [41] train-mlogloss:0.02086891832451026 [ Info: [42] train-mlogloss:0.02078601638476054 [ Info: [43] train-mlogloss:0.02070880669479569 [ Info: [44] train-mlogloss:0.02063012082750599 [ Info: [45] train-mlogloss:0.02055497369418541 [ Info: [46] train-mlogloss:0.02048180557166537 [ Info: [47] train-mlogloss:0.02041610418508450 [ Info: [48] train-mlogloss:0.02035088853289684 [ Info: [49] train-mlogloss:0.02029313142100970 [ Info: [50] train-mlogloss:0.02023535519838333 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65202523708343507 [ Info: [2] train-mlogloss:0.41727733850479126 [ Info: [3] train-mlogloss:0.28082275549570718 [ Info: [4] train-mlogloss:0.19585379143555959 [ Info: [5] train-mlogloss:0.14072860757509867 [ Info: [6] train-mlogloss:0.10367256263891855 [ Info: [7] train-mlogloss:0.07815000454584757 [ Info: [8] train-mlogloss:0.06089223007361094 [ Info: [9] train-mlogloss:0.04841241349776586 [ Info: [10] train-mlogloss:0.03949852774540583 [ Info: [11] train-mlogloss:0.03357401750981807 [ Info: [12] train-mlogloss:0.02980743308862050 [ Info: [13] train-mlogloss:0.02680036887526512 [ Info: [14] train-mlogloss:0.02539919916540384 [ Info: [15] train-mlogloss:0.02437152891109387 [ Info: [16] train-mlogloss:0.02352777152011792 [ Info: [17] train-mlogloss:0.02283098184814056 [ Info: [18] train-mlogloss:0.02226630606999000 [ Info: [19] train-mlogloss:0.02177013809482256 [ Info: [20] train-mlogloss:0.02133605328698953 [ Info: [21] train-mlogloss:0.02118143918613593 [ Info: [22] train-mlogloss:0.02105690414706866 [ Info: [23] train-mlogloss:0.02095281209796667 [ Info: [24] train-mlogloss:0.02087205872560541 [ Info: [25] train-mlogloss:0.02080794441824158 [ Info: [26] train-mlogloss:0.02075613451500734 [ Info: [27] train-mlogloss:0.02071164495001237 [ Info: [28] train-mlogloss:0.02067389905452728 [ Info: [29] train-mlogloss:0.02064076955740651 [ Info: [30] train-mlogloss:0.02061215226848920 [ Info: [31] train-mlogloss:0.02058666942020257 [ Info: [32] train-mlogloss:0.02056444153810541 [ Info: [33] train-mlogloss:0.02054457493747274 [ Info: [34] train-mlogloss:0.02052707138781746 [ Info: [35] train-mlogloss:0.02051133972903093 [ Info: [36] train-mlogloss:0.02049750228722890 [ Info: [37] train-mlogloss:0.02048504372437795 [ Info: [38] train-mlogloss:0.02047401099155347 [ Info: [39] train-mlogloss:0.02046404063080748 [ Info: [40] train-mlogloss:0.02045521823068460 [ Info: [41] train-mlogloss:0.02044731575374802 [ Info: [42] train-mlogloss:0.02044026996940375 [ Info: [43] train-mlogloss:0.02043394530812899 [ Info: [44] train-mlogloss:0.02042832132428885 [ Info: [45] train-mlogloss:0.02042323724056284 [ Info: [46] train-mlogloss:0.02041874664525191 [ Info: [47] train-mlogloss:0.02041472981994351 [ Info: [48] train-mlogloss:0.02041108560437957 [ Info: [49] train-mlogloss:0.02040788847332200 [ Info: [50] train-mlogloss:0.02040497629592816 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56456941286722817 [ Info: [2] train-mlogloss:0.32854609409968061 [ Info: [3] train-mlogloss:0.20515629609425862 [ Info: [4] train-mlogloss:0.13488468666871389 [ Info: [5] train-mlogloss:0.09280635684728622 [ Info: [6] train-mlogloss:0.06725192700823147 [ Info: [7] train-mlogloss:0.04983772709965706 [ Info: [8] train-mlogloss:0.03848030077914397 [ Info: [9] train-mlogloss:0.03247636641065280 [ Info: [10] train-mlogloss:0.02777453583975633 [ Info: [11] train-mlogloss:0.02591918511937062 [ Info: [12] train-mlogloss:0.02463296866665284 [ Info: [13] train-mlogloss:0.02362302386512359 [ Info: [14] train-mlogloss:0.02282354423155387 [ Info: [15] train-mlogloss:0.02218630654116472 [ Info: [16] train-mlogloss:0.02164770213266214 [ Info: [17] train-mlogloss:0.02148972749710083 [ Info: [18] train-mlogloss:0.02134166918694973 [ Info: [19] train-mlogloss:0.02118797782808542 [ Info: [20] train-mlogloss:0.02105350852012634 [ Info: [21] train-mlogloss:0.02091347084691127 [ Info: [22] train-mlogloss:0.02078006707131863 [ Info: [23] train-mlogloss:0.02066977410266797 [ Info: [24] train-mlogloss:0.02056188094119231 [ Info: [25] train-mlogloss:0.02047344819953044 [ Info: [26] train-mlogloss:0.02038510608797272 [ Info: [27] train-mlogloss:0.02031304450705648 [ Info: [28] train-mlogloss:0.02025499500334263 [ Info: [29] train-mlogloss:0.02020556742325425 [ Info: [30] train-mlogloss:0.02016454761226972 [ Info: [31] train-mlogloss:0.02012893019244075 [ Info: [32] train-mlogloss:0.02009884722530842 [ Info: [33] train-mlogloss:0.02007249304403861 [ Info: [34] train-mlogloss:0.02004998729253809 [ Info: [35] train-mlogloss:0.02003028651078542 [ Info: [36] train-mlogloss:0.02001337793966134 [ Info: [37] train-mlogloss:0.01999849867075682 [ Info: [38] train-mlogloss:0.01998572863638401 [ Info: [39] train-mlogloss:0.01997450785090526 [ Info: [40] train-mlogloss:0.01996480318407218 [ Info: [41] train-mlogloss:0.01995637652774652 [ Info: [42] train-mlogloss:0.01994897111629446 [ Info: [43] train-mlogloss:0.01994261864572763 [ Info: [44] train-mlogloss:0.01993699183687568 [ Info: [45] train-mlogloss:0.01993220231806239 [ Info: [46] train-mlogloss:0.01992793639500936 [ Info: [47] train-mlogloss:0.01992428759112954 [ Info: [48] train-mlogloss:0.01992106305435300 [ Info: [49] train-mlogloss:0.01991828345383207 [ Info: [50] train-mlogloss:0.01991582658141852 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48662217378616335 [ Info: [2] train-mlogloss:0.25928563237190244 [ Info: [3] train-mlogloss:0.15156866153081258 [ Info: [4] train-mlogloss:0.09474133928616842 [ Info: [5] train-mlogloss:0.06350922872622808 [ Info: [6] train-mlogloss:0.04618201563755671 [ Info: [7] train-mlogloss:0.03546863640348116 [ Info: [8] train-mlogloss:0.02932165443897247 [ Info: [9] train-mlogloss:0.02699886515736580 [ Info: [10] train-mlogloss:0.02533011226604382 [ Info: [11] train-mlogloss:0.02407748660693566 [ Info: [12] train-mlogloss:0.02314468365162611 [ Info: [13] train-mlogloss:0.02244197307154536 [ Info: [14] train-mlogloss:0.02189216311400135 [ Info: [15] train-mlogloss:0.02167886434122920 [ Info: [16] train-mlogloss:0.02150468949228525 [ Info: [17] train-mlogloss:0.02133994670584798 [ Info: [18] train-mlogloss:0.02117928997303049 [ Info: [19] train-mlogloss:0.02101134163017074 [ Info: [20] train-mlogloss:0.02087871647750338 [ Info: [21] train-mlogloss:0.02074146290620168 [ Info: [22] train-mlogloss:0.02064127021158735 [ Info: [23] train-mlogloss:0.02053778225556016 [ Info: [24] train-mlogloss:0.02045468013733625 [ Info: [25] train-mlogloss:0.02037613731498520 [ Info: [26] train-mlogloss:0.02030836860959729 [ Info: [27] train-mlogloss:0.02024857729673386 [ Info: [28] train-mlogloss:0.02018982831388712 [ Info: [29] train-mlogloss:0.02014404293770591 [ Info: [30] train-mlogloss:0.02009523324668407 [ Info: [31] train-mlogloss:0.02005533716951807 [ Info: [32] train-mlogloss:0.02002388641238213 [ Info: [33] train-mlogloss:0.01999716844409704 [ Info: [34] train-mlogloss:0.01997555812820792 [ Info: [35] train-mlogloss:0.01995686565215389 [ Info: [36] train-mlogloss:0.01994171394035220 [ Info: [37] train-mlogloss:0.01992846670250098 [ Info: [38] train-mlogloss:0.01991768499836326 [ Info: [39] train-mlogloss:0.01990823321044445 [ Info: [40] train-mlogloss:0.01990056599179904 [ Info: [41] train-mlogloss:0.01989384132747849 [ Info: [42] train-mlogloss:0.01988836058725913 [ Info: [43] train-mlogloss:0.01988353853424390 [ Info: [44] train-mlogloss:0.01987960784385602 [ Info: [45] train-mlogloss:0.01987616494297981 [ Info: [46] train-mlogloss:0.01987334731966257 [ Info: [47] train-mlogloss:0.01987089194978277 [ Info: [48] train-mlogloss:0.01986889199664195 [ Info: [49] train-mlogloss:0.01986711074908575 [ Info: [50] train-mlogloss:0.01986570438370109 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97161810954411820 [ Info: [2] train-mlogloss:0.86422506252924602 [ Info: [3] train-mlogloss:0.77242387374242150 [ Info: [4] train-mlogloss:0.69316440661748246 [ Info: [5] train-mlogloss:0.62418248732884729 [ Info: [6] train-mlogloss:0.56377502600351970 [ Info: [7] train-mlogloss:0.51063514033953350 [ Info: [8] train-mlogloss:0.46366582592328387 [ Info: [9] train-mlogloss:0.42200025478998821 [ Info: [10] train-mlogloss:0.38493317961692808 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85418740510940550 [ Info: [2] train-mlogloss:0.68012375354766841 [ Info: [3] train-mlogloss:0.55066617012023922 [ Info: [4] train-mlogloss:0.45151869257291161 [ Info: [5] train-mlogloss:0.37414930224418641 [ Info: [6] train-mlogloss:0.31280781865119933 [ Info: [7] train-mlogloss:0.26377195616563159 [ Info: [8] train-mlogloss:0.22413852353890737 [ Info: [9] train-mlogloss:0.19005509912967683 [ Info: [10] train-mlogloss:0.16367422978083293 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74668323596318564 [ Info: [2] train-mlogloss:0.53829931259155273 [ Info: [3] train-mlogloss:0.39948616027832029 [ Info: [4] train-mlogloss:0.30377708514531454 [ Info: [5] train-mlogloss:0.23558550616105398 [ Info: [6] train-mlogloss:0.18574747542540232 [ Info: [7] train-mlogloss:0.14885355452696483 [ Info: [8] train-mlogloss:0.11918563206990559 [ Info: [9] train-mlogloss:0.09895581771930059 [ Info: [10] train-mlogloss:0.08311718195676804 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64927309354146323 [ Info: [2] train-mlogloss:0.42632685025533040 [ Info: [3] train-mlogloss:0.29344410419464112 [ Info: [4] train-mlogloss:0.20954555869102479 [ Info: [5] train-mlogloss:0.15435360948244731 [ Info: [6] train-mlogloss:0.11706523666779201 [ Info: [7] train-mlogloss:0.09134315301974615 [ Info: [8] train-mlogloss:0.07204435780644416 [ Info: [9] train-mlogloss:0.05893350909153620 [ Info: [10] train-mlogloss:0.04835326304038366 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56191437164942426 [ Info: [2] train-mlogloss:0.33910817225774131 [ Info: [3] train-mlogloss:0.21856516222159067 [ Info: [4] train-mlogloss:0.14841118007898330 [ Info: [5] train-mlogloss:0.10553872754176458 [ Info: [6] train-mlogloss:0.07602598796288172 [ Info: [7] train-mlogloss:0.05868408739566803 [ Info: [8] train-mlogloss:0.04686525786916415 [ Info: [9] train-mlogloss:0.03905878946185112 [ Info: [10] train-mlogloss:0.03478899004558722 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48435798883438108 [ Info: [2] train-mlogloss:0.27104943990707397 [ Info: [3] train-mlogloss:0.16510688463846843 [ Info: [4] train-mlogloss:0.10797029564778010 [ Info: [5] train-mlogloss:0.07527205819884936 [ Info: [6] train-mlogloss:0.05659511727591356 [ Info: [7] train-mlogloss:0.04511827429135640 [ Info: [8] train-mlogloss:0.03692181115349134 [ Info: [9] train-mlogloss:0.03486072038610776 [ Info: [10] train-mlogloss:0.03291214369237423 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97161810954411820 [ Info: [2] train-mlogloss:0.86422506252924602 [ Info: [3] train-mlogloss:0.77242387374242150 [ Info: [4] train-mlogloss:0.69316440661748246 [ Info: [5] train-mlogloss:0.62418248732884729 [ Info: [6] train-mlogloss:0.56377502600351970 [ Info: [7] train-mlogloss:0.51063514033953350 [ Info: [8] train-mlogloss:0.46366582592328387 [ Info: [9] train-mlogloss:0.42200025478998821 [ Info: [10] train-mlogloss:0.38493317961692808 [ Info: [11] train-mlogloss:0.35188044190406798 [ Info: [12] train-mlogloss:0.32230006059010824 [ Info: [13] train-mlogloss:0.29580036322275799 [ Info: [14] train-mlogloss:0.27200926760832467 [ Info: [15] train-mlogloss:0.25059861024220786 [ Info: [16] train-mlogloss:0.23026965081691741 [ Info: [17] train-mlogloss:0.21282666921615601 [ Info: [18] train-mlogloss:0.19618950307369232 [ Info: [19] train-mlogloss:0.18115108609199523 [ Info: [20] train-mlogloss:0.16821699082851410 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85418740510940550 [ Info: [2] train-mlogloss:0.68012375354766841 [ Info: [3] train-mlogloss:0.55066617012023922 [ Info: [4] train-mlogloss:0.45151869257291161 [ Info: [5] train-mlogloss:0.37414930224418641 [ Info: [6] train-mlogloss:0.31280781865119933 [ Info: [7] train-mlogloss:0.26377195616563159 [ Info: [8] train-mlogloss:0.22413852353890737 [ Info: [9] train-mlogloss:0.19005509912967683 [ Info: [10] train-mlogloss:0.16367422978083293 [ Info: [11] train-mlogloss:0.14061589340368907 [ Info: [12] train-mlogloss:0.12206149935722350 [ Info: [13] train-mlogloss:0.10703390200932821 [ Info: [14] train-mlogloss:0.09447535723447800 [ Info: [15] train-mlogloss:0.08393221234281857 [ Info: [16] train-mlogloss:0.07532257810235024 [ Info: [17] train-mlogloss:0.06773205454150835 [ Info: [18] train-mlogloss:0.06137101183334986 [ Info: [19] train-mlogloss:0.05586648811896642 [ Info: [20] train-mlogloss:0.05101346495250861 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74668323596318564 [ Info: [2] train-mlogloss:0.53829931259155273 [ Info: [3] train-mlogloss:0.39948616027832029 [ Info: [4] train-mlogloss:0.30377708514531454 [ Info: [5] train-mlogloss:0.23558550616105398 [ Info: [6] train-mlogloss:0.18574747542540232 [ Info: [7] train-mlogloss:0.14885355452696483 [ Info: [8] train-mlogloss:0.11918563206990559 [ Info: [9] train-mlogloss:0.09895581771930059 [ Info: [10] train-mlogloss:0.08311718195676804 [ Info: [11] train-mlogloss:0.07058094580968222 [ Info: [12] train-mlogloss:0.06054664924740791 [ Info: [13] train-mlogloss:0.05196660672624906 [ Info: [14] train-mlogloss:0.04679319404065609 [ Info: [15] train-mlogloss:0.04192288676897685 [ Info: [16] train-mlogloss:0.03812311872839928 [ Info: [17] train-mlogloss:0.03561381756017606 [ Info: [18] train-mlogloss:0.03372342007855574 [ Info: [19] train-mlogloss:0.03272843862573305 [ Info: [20] train-mlogloss:0.03177696717282136 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64927309354146323 [ Info: [2] train-mlogloss:0.42632685025533040 [ Info: [3] train-mlogloss:0.29344410419464112 [ Info: [4] train-mlogloss:0.20954555869102479 [ Info: [5] train-mlogloss:0.15435360948244731 [ Info: [6] train-mlogloss:0.11706523666779201 [ Info: [7] train-mlogloss:0.09134315301974615 [ Info: [8] train-mlogloss:0.07204435780644416 [ Info: [9] train-mlogloss:0.05893350909153620 [ Info: [10] train-mlogloss:0.04835326304038366 [ Info: [11] train-mlogloss:0.04251975553731124 [ Info: [12] train-mlogloss:0.03829192804793517 [ Info: [13] train-mlogloss:0.03411459372689327 [ Info: [14] train-mlogloss:0.03275162811080615 [ Info: [15] train-mlogloss:0.03165001675486565 [ Info: [16] train-mlogloss:0.03056744287411372 [ Info: [17] train-mlogloss:0.02970826793462038 [ Info: [18] train-mlogloss:0.02894620336592197 [ Info: [19] train-mlogloss:0.02829582543422779 [ Info: [20] train-mlogloss:0.02761461984366179 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56191437164942426 [ Info: [2] train-mlogloss:0.33910817225774131 [ Info: [3] train-mlogloss:0.21856516222159067 [ Info: [4] train-mlogloss:0.14841118007898330 [ Info: [5] train-mlogloss:0.10553872754176458 [ Info: [6] train-mlogloss:0.07602598796288172 [ Info: [7] train-mlogloss:0.05868408739566803 [ Info: [8] train-mlogloss:0.04686525786916415 [ Info: [9] train-mlogloss:0.03905878946185112 [ Info: [10] train-mlogloss:0.03478899004558722 [ Info: [11] train-mlogloss:0.03175015917668740 [ Info: [12] train-mlogloss:0.03044029399752617 [ Info: [13] train-mlogloss:0.02940484020859003 [ Info: [14] train-mlogloss:0.02847372467319171 [ Info: [15] train-mlogloss:0.02754633985459804 [ Info: [16] train-mlogloss:0.02671930517380436 [ Info: [17] train-mlogloss:0.02609613571316004 [ Info: [18] train-mlogloss:0.02543225641672810 [ Info: [19] train-mlogloss:0.02482004581019282 [ Info: [20] train-mlogloss:0.02428771935403347 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48435798883438108 [ Info: [2] train-mlogloss:0.27104943990707397 [ Info: [3] train-mlogloss:0.16510688463846843 [ Info: [4] train-mlogloss:0.10797029564778010 [ Info: [5] train-mlogloss:0.07527205819884936 [ Info: [6] train-mlogloss:0.05659511727591356 [ Info: [7] train-mlogloss:0.04511827429135640 [ Info: [8] train-mlogloss:0.03692181115349134 [ Info: [9] train-mlogloss:0.03486072038610776 [ Info: [10] train-mlogloss:0.03291214369237423 [ Info: [11] train-mlogloss:0.03148153385768334 [ Info: [12] train-mlogloss:0.03005111845831076 [ Info: [13] train-mlogloss:0.02897876862436533 [ Info: [14] train-mlogloss:0.02789193806548913 [ Info: [15] train-mlogloss:0.02691175590579709 [ Info: [16] train-mlogloss:0.02608261135717233 [ Info: [17] train-mlogloss:0.02541761370375752 [ Info: [18] train-mlogloss:0.02472779300684730 [ Info: [19] train-mlogloss:0.02420261466875672 [ Info: [20] train-mlogloss:0.02364991964772344 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97161810954411820 [ Info: [2] train-mlogloss:0.86422506252924602 [ Info: [3] train-mlogloss:0.77242387374242150 [ Info: [4] train-mlogloss:0.69316440661748246 [ Info: [5] train-mlogloss:0.62418248732884729 [ Info: [6] train-mlogloss:0.56377502600351970 [ Info: [7] train-mlogloss:0.51063514033953350 [ Info: [8] train-mlogloss:0.46366582592328387 [ Info: [9] train-mlogloss:0.42200025478998821 [ Info: [10] train-mlogloss:0.38493317961692808 [ Info: [11] train-mlogloss:0.35188044190406798 [ Info: [12] train-mlogloss:0.32230006059010824 [ Info: [13] train-mlogloss:0.29580036322275799 [ Info: [14] train-mlogloss:0.27200926760832467 [ Info: [15] train-mlogloss:0.25059861024220786 [ Info: [16] train-mlogloss:0.23026965081691741 [ Info: [17] train-mlogloss:0.21282666921615601 [ Info: [18] train-mlogloss:0.19618950307369232 [ Info: [19] train-mlogloss:0.18115108609199523 [ Info: [20] train-mlogloss:0.16821699082851410 [ Info: [21] train-mlogloss:0.15581661442915598 [ Info: [22] train-mlogloss:0.14525623063246410 [ Info: [23] train-mlogloss:0.13494234542051950 [ Info: [24] train-mlogloss:0.12582230955362320 [ Info: [25] train-mlogloss:0.11769702702760697 [ Info: [26] train-mlogloss:0.11029372751712799 [ Info: [27] train-mlogloss:0.10356533219416936 [ Info: [28] train-mlogloss:0.09746937354405721 [ Info: [29] train-mlogloss:0.09180998464425405 [ Info: [30] train-mlogloss:0.08655968015392622 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85418740510940550 [ Info: [2] train-mlogloss:0.68012375354766841 [ Info: [3] train-mlogloss:0.55066617012023922 [ Info: [4] train-mlogloss:0.45151869257291161 [ Info: [5] train-mlogloss:0.37414930224418641 [ Info: [6] train-mlogloss:0.31280781865119933 [ Info: [7] train-mlogloss:0.26377195616563159 [ Info: [8] train-mlogloss:0.22413852353890737 [ Info: [9] train-mlogloss:0.19005509912967683 [ Info: [10] train-mlogloss:0.16367422978083293 [ Info: [11] train-mlogloss:0.14061589340368907 [ Info: [12] train-mlogloss:0.12206149935722350 [ Info: [13] train-mlogloss:0.10703390200932821 [ Info: [14] train-mlogloss:0.09447535723447800 [ Info: [15] train-mlogloss:0.08393221234281857 [ Info: [16] train-mlogloss:0.07532257810235024 [ Info: [17] train-mlogloss:0.06773205454150835 [ Info: [18] train-mlogloss:0.06137101183334986 [ Info: [19] train-mlogloss:0.05586648811896642 [ Info: [20] train-mlogloss:0.05101346495250861 [ Info: [21] train-mlogloss:0.04742784798145294 [ Info: [22] train-mlogloss:0.04429156815012296 [ Info: [23] train-mlogloss:0.04129354494313399 [ Info: [24] train-mlogloss:0.03873162244757016 [ Info: [25] train-mlogloss:0.03686529320975145 [ Info: [26] train-mlogloss:0.03486422865341107 [ Info: [27] train-mlogloss:0.03407400938371817 [ Info: [28] train-mlogloss:0.03332098634292682 [ Info: [29] train-mlogloss:0.03268073379993439 [ Info: [30] train-mlogloss:0.03206814053157965 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74668323596318564 [ Info: [2] train-mlogloss:0.53829931259155273 [ Info: [3] train-mlogloss:0.39948616027832029 [ Info: [4] train-mlogloss:0.30377708514531454 [ Info: [5] train-mlogloss:0.23558550616105398 [ Info: [6] train-mlogloss:0.18574747542540232 [ Info: [7] train-mlogloss:0.14885355452696483 [ Info: [8] train-mlogloss:0.11918563206990559 [ Info: [9] train-mlogloss:0.09895581771930059 [ Info: [10] train-mlogloss:0.08311718195676804 [ Info: [11] train-mlogloss:0.07058094580968222 [ Info: [12] train-mlogloss:0.06054664924740791 [ Info: [13] train-mlogloss:0.05196660672624906 [ Info: [14] train-mlogloss:0.04679319404065609 [ Info: [15] train-mlogloss:0.04192288676897685 [ Info: [16] train-mlogloss:0.03812311872839928 [ Info: [17] train-mlogloss:0.03561381756017606 [ Info: [18] train-mlogloss:0.03372342007855574 [ Info: [19] train-mlogloss:0.03272843862573305 [ Info: [20] train-mlogloss:0.03177696717282136 [ Info: [21] train-mlogloss:0.03102124591668447 [ Info: [22] train-mlogloss:0.03025783712665240 [ Info: [23] train-mlogloss:0.02963501696785291 [ Info: [24] train-mlogloss:0.02906367166588704 [ Info: [25] train-mlogloss:0.02852453363438447 [ Info: [26] train-mlogloss:0.02802319521705309 [ Info: [27] train-mlogloss:0.02753076927115520 [ Info: [28] train-mlogloss:0.02708194299290578 [ Info: [29] train-mlogloss:0.02662873224665721 [ Info: [30] train-mlogloss:0.02622659823546807 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64927309354146323 [ Info: [2] train-mlogloss:0.42632685025533040 [ Info: [3] train-mlogloss:0.29344410419464112 [ Info: [4] train-mlogloss:0.20954555869102479 [ Info: [5] train-mlogloss:0.15435360948244731 [ Info: [6] train-mlogloss:0.11706523666779201 [ Info: [7] train-mlogloss:0.09134315301974615 [ Info: [8] train-mlogloss:0.07204435780644416 [ Info: [9] train-mlogloss:0.05893350909153620 [ Info: [10] train-mlogloss:0.04835326304038366 [ Info: [11] train-mlogloss:0.04251975553731124 [ Info: [12] train-mlogloss:0.03829192804793517 [ Info: [13] train-mlogloss:0.03411459372689327 [ Info: [14] train-mlogloss:0.03275162811080615 [ Info: [15] train-mlogloss:0.03165001675486565 [ Info: [16] train-mlogloss:0.03056744287411372 [ Info: [17] train-mlogloss:0.02970826793462038 [ Info: [18] train-mlogloss:0.02894620336592197 [ Info: [19] train-mlogloss:0.02829582543422779 [ Info: [20] train-mlogloss:0.02761461984366179 [ Info: [21] train-mlogloss:0.02702209618563453 [ Info: [22] train-mlogloss:0.02647040139262875 [ Info: [23] train-mlogloss:0.02590142282346885 [ Info: [24] train-mlogloss:0.02537673553451896 [ Info: [25] train-mlogloss:0.02491787153606613 [ Info: [26] train-mlogloss:0.02447813356916110 [ Info: [27] train-mlogloss:0.02405790941789746 [ Info: [28] train-mlogloss:0.02366545705745618 [ Info: [29] train-mlogloss:0.02329995127394795 [ Info: [30] train-mlogloss:0.02297414763520161 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56191437164942426 [ Info: [2] train-mlogloss:0.33910817225774131 [ Info: [3] train-mlogloss:0.21856516222159067 [ Info: [4] train-mlogloss:0.14841118007898330 [ Info: [5] train-mlogloss:0.10553872754176458 [ Info: [6] train-mlogloss:0.07602598796288172 [ Info: [7] train-mlogloss:0.05868408739566803 [ Info: [8] train-mlogloss:0.04686525786916415 [ Info: [9] train-mlogloss:0.03905878946185112 [ Info: [10] train-mlogloss:0.03478899004558722 [ Info: [11] train-mlogloss:0.03175015917668740 [ Info: [12] train-mlogloss:0.03044029399752617 [ Info: [13] train-mlogloss:0.02940484020859003 [ Info: [14] train-mlogloss:0.02847372467319171 [ Info: [15] train-mlogloss:0.02754633985459804 [ Info: [16] train-mlogloss:0.02671930517380436 [ Info: [17] train-mlogloss:0.02609613571316004 [ Info: [18] train-mlogloss:0.02543225641672810 [ Info: [19] train-mlogloss:0.02482004581019282 [ Info: [20] train-mlogloss:0.02428771935403347 [ Info: [21] train-mlogloss:0.02378489003206293 [ Info: [22] train-mlogloss:0.02334728552649418 [ Info: [23] train-mlogloss:0.02299190161749720 [ Info: [24] train-mlogloss:0.02291124919429421 [ Info: [25] train-mlogloss:0.02277027521903316 [ Info: [26] train-mlogloss:0.02269187179083626 [ Info: [27] train-mlogloss:0.02263550523668528 [ Info: [28] train-mlogloss:0.02249047279357910 [ Info: [29] train-mlogloss:0.02243124239146710 [ Info: [30] train-mlogloss:0.02238824227203925 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48435798883438108 [ Info: [2] train-mlogloss:0.27104943990707397 [ Info: [3] train-mlogloss:0.16510688463846843 [ Info: [4] train-mlogloss:0.10797029564778010 [ Info: [5] train-mlogloss:0.07527205819884936 [ Info: [6] train-mlogloss:0.05659511727591356 [ Info: [7] train-mlogloss:0.04511827429135640 [ Info: [8] train-mlogloss:0.03692181115349134 [ Info: [9] train-mlogloss:0.03486072038610776 [ Info: [10] train-mlogloss:0.03291214369237423 [ Info: [11] train-mlogloss:0.03148153385768334 [ Info: [12] train-mlogloss:0.03005111845831076 [ Info: [13] train-mlogloss:0.02897876862436533 [ Info: [14] train-mlogloss:0.02789193806548913 [ Info: [15] train-mlogloss:0.02691175590579709 [ Info: [16] train-mlogloss:0.02608261135717233 [ Info: [17] train-mlogloss:0.02541761370375752 [ Info: [18] train-mlogloss:0.02472779300684730 [ Info: [19] train-mlogloss:0.02420261466875672 [ Info: [20] train-mlogloss:0.02364991964772344 [ Info: [21] train-mlogloss:0.02320181409517924 [ Info: [22] train-mlogloss:0.02282683204238613 [ Info: [23] train-mlogloss:0.02272704911728700 [ Info: [24] train-mlogloss:0.02265999675417940 [ Info: [25] train-mlogloss:0.02246562475338578 [ Info: [26] train-mlogloss:0.02239218581157426 [ Info: [27] train-mlogloss:0.02234264302067459 [ Info: [28] train-mlogloss:0.02215634327071409 [ Info: [29] train-mlogloss:0.02209852228872478 [ Info: [30] train-mlogloss:0.02205966487837335 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97161810954411820 [ Info: [2] train-mlogloss:0.86422506252924602 [ Info: [3] train-mlogloss:0.77242387374242150 [ Info: [4] train-mlogloss:0.69316440661748246 [ Info: [5] train-mlogloss:0.62418248732884729 [ Info: [6] train-mlogloss:0.56377502600351970 [ Info: [7] train-mlogloss:0.51063514033953350 [ Info: [8] train-mlogloss:0.46366582592328387 [ Info: [9] train-mlogloss:0.42200025478998821 [ Info: [10] train-mlogloss:0.38493317961692808 [ Info: [11] train-mlogloss:0.35188044190406798 [ Info: [12] train-mlogloss:0.32230006059010824 [ Info: [13] train-mlogloss:0.29580036322275799 [ Info: [14] train-mlogloss:0.27200926760832467 [ Info: [15] train-mlogloss:0.25059861024220786 [ Info: [16] train-mlogloss:0.23026965081691741 [ Info: [17] train-mlogloss:0.21282666921615601 [ Info: [18] train-mlogloss:0.19618950307369232 [ Info: [19] train-mlogloss:0.18115108609199523 [ Info: [20] train-mlogloss:0.16821699082851410 [ Info: [21] train-mlogloss:0.15581661442915598 [ Info: [22] train-mlogloss:0.14525623063246410 [ Info: [23] train-mlogloss:0.13494234542051950 [ Info: [24] train-mlogloss:0.12582230955362320 [ Info: [25] train-mlogloss:0.11769702702760697 [ Info: [26] train-mlogloss:0.11029372751712799 [ Info: [27] train-mlogloss:0.10356533219416936 [ Info: [28] train-mlogloss:0.09746937354405721 [ Info: [29] train-mlogloss:0.09180998464425405 [ Info: [30] train-mlogloss:0.08655968015392622 [ Info: [31] train-mlogloss:0.08170395210385323 [ Info: [32] train-mlogloss:0.07729958365360896 [ Info: [33] train-mlogloss:0.07326010564963023 [ Info: [34] train-mlogloss:0.06955043147007624 [ Info: [35] train-mlogloss:0.06612465073664983 [ Info: [36] train-mlogloss:0.06292716696858407 [ Info: [37] train-mlogloss:0.05975820407271385 [ Info: [38] train-mlogloss:0.05714897304773331 [ Info: [39] train-mlogloss:0.05470037465294202 [ Info: [40] train-mlogloss:0.05232506632804870 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85418740510940550 [ Info: [2] train-mlogloss:0.68012375354766841 [ Info: [3] train-mlogloss:0.55066617012023922 [ Info: [4] train-mlogloss:0.45151869257291161 [ Info: [5] train-mlogloss:0.37414930224418641 [ Info: [6] train-mlogloss:0.31280781865119933 [ Info: [7] train-mlogloss:0.26377195616563159 [ Info: [8] train-mlogloss:0.22413852353890737 [ Info: [9] train-mlogloss:0.19005509912967683 [ Info: [10] train-mlogloss:0.16367422978083293 [ Info: [11] train-mlogloss:0.14061589340368907 [ Info: [12] train-mlogloss:0.12206149935722350 [ Info: [13] train-mlogloss:0.10703390200932821 [ Info: [14] train-mlogloss:0.09447535723447800 [ Info: [15] train-mlogloss:0.08393221234281857 [ Info: [16] train-mlogloss:0.07532257810235024 [ Info: [17] train-mlogloss:0.06773205454150835 [ Info: [18] train-mlogloss:0.06137101183334986 [ Info: [19] train-mlogloss:0.05586648811896642 [ Info: [20] train-mlogloss:0.05101346495250861 [ Info: [21] train-mlogloss:0.04742784798145294 [ Info: [22] train-mlogloss:0.04429156815012296 [ Info: [23] train-mlogloss:0.04129354494313399 [ Info: [24] train-mlogloss:0.03873162244757016 [ Info: [25] train-mlogloss:0.03686529320975145 [ Info: [26] train-mlogloss:0.03486422865341107 [ Info: [27] train-mlogloss:0.03407400938371817 [ Info: [28] train-mlogloss:0.03332098634292682 [ Info: [29] train-mlogloss:0.03268073379993439 [ Info: [30] train-mlogloss:0.03206814053157965 [ Info: [31] train-mlogloss:0.03152260165661573 [ Info: [32] train-mlogloss:0.03100016011546055 [ Info: [33] train-mlogloss:0.03057606045156717 [ Info: [34] train-mlogloss:0.03011309182892243 [ Info: [35] train-mlogloss:0.02973511344442765 [ Info: [36] train-mlogloss:0.02937117482225100 [ Info: [37] train-mlogloss:0.02900940495232741 [ Info: [38] train-mlogloss:0.02867340311408043 [ Info: [39] train-mlogloss:0.02834116201847792 [ Info: [40] train-mlogloss:0.02801144367704789 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74668323596318564 [ Info: [2] train-mlogloss:0.53829931259155273 [ Info: [3] train-mlogloss:0.39948616027832029 [ Info: [4] train-mlogloss:0.30377708514531454 [ Info: [5] train-mlogloss:0.23558550616105398 [ Info: [6] train-mlogloss:0.18574747542540232 [ Info: [7] train-mlogloss:0.14885355452696483 [ Info: [8] train-mlogloss:0.11918563206990559 [ Info: [9] train-mlogloss:0.09895581771930059 [ Info: [10] train-mlogloss:0.08311718195676804 [ Info: [11] train-mlogloss:0.07058094580968222 [ Info: [12] train-mlogloss:0.06054664924740791 [ Info: [13] train-mlogloss:0.05196660672624906 [ Info: [14] train-mlogloss:0.04679319404065609 [ Info: [15] train-mlogloss:0.04192288676897685 [ Info: [16] train-mlogloss:0.03812311872839928 [ Info: [17] train-mlogloss:0.03561381756017606 [ Info: [18] train-mlogloss:0.03372342007855574 [ Info: [19] train-mlogloss:0.03272843862573305 [ Info: [20] train-mlogloss:0.03177696717282136 [ Info: [21] train-mlogloss:0.03102124591668447 [ Info: [22] train-mlogloss:0.03025783712665240 [ Info: [23] train-mlogloss:0.02963501696785291 [ Info: [24] train-mlogloss:0.02906367166588704 [ Info: [25] train-mlogloss:0.02852453363438447 [ Info: [26] train-mlogloss:0.02802319521705309 [ Info: [27] train-mlogloss:0.02753076927115520 [ Info: [28] train-mlogloss:0.02708194299290578 [ Info: [29] train-mlogloss:0.02662873224665721 [ Info: [30] train-mlogloss:0.02622659823546807 [ Info: [31] train-mlogloss:0.02582841708014409 [ Info: [32] train-mlogloss:0.02546243961279591 [ Info: [33] train-mlogloss:0.02511775747562448 [ Info: [34] train-mlogloss:0.02476994708180428 [ Info: [35] train-mlogloss:0.02445087553933263 [ Info: [36] train-mlogloss:0.02413995660841465 [ Info: [37] train-mlogloss:0.02384704986587167 [ Info: [38] train-mlogloss:0.02355567832787831 [ Info: [39] train-mlogloss:0.02330065644035737 [ Info: [40] train-mlogloss:0.02306560593967636 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64927309354146323 [ Info: [2] train-mlogloss:0.42632685025533040 [ Info: [3] train-mlogloss:0.29344410419464112 [ Info: [4] train-mlogloss:0.20954555869102479 [ Info: [5] train-mlogloss:0.15435360948244731 [ Info: [6] train-mlogloss:0.11706523666779201 [ Info: [7] train-mlogloss:0.09134315301974615 [ Info: [8] train-mlogloss:0.07204435780644416 [ Info: [9] train-mlogloss:0.05893350909153620 [ Info: [10] train-mlogloss:0.04835326304038366 [ Info: [11] train-mlogloss:0.04251975553731124 [ Info: [12] train-mlogloss:0.03829192804793517 [ Info: [13] train-mlogloss:0.03411459372689327 [ Info: [14] train-mlogloss:0.03275162811080615 [ Info: [15] train-mlogloss:0.03165001675486565 [ Info: [16] train-mlogloss:0.03056744287411372 [ Info: [17] train-mlogloss:0.02970826793462038 [ Info: [18] train-mlogloss:0.02894620336592197 [ Info: [19] train-mlogloss:0.02829582543422779 [ Info: [20] train-mlogloss:0.02761461984366179 [ Info: [21] train-mlogloss:0.02702209618563453 [ Info: [22] train-mlogloss:0.02647040139262875 [ Info: [23] train-mlogloss:0.02590142282346885 [ Info: [24] train-mlogloss:0.02537673553451896 [ Info: [25] train-mlogloss:0.02491787153606613 [ Info: [26] train-mlogloss:0.02447813356916110 [ Info: [27] train-mlogloss:0.02405790941789746 [ Info: [28] train-mlogloss:0.02366545705745618 [ Info: [29] train-mlogloss:0.02329995127394795 [ Info: [30] train-mlogloss:0.02297414763520161 [ Info: [31] train-mlogloss:0.02269796501845121 [ Info: [32] train-mlogloss:0.02262002183124423 [ Info: [33] train-mlogloss:0.02254983508338531 [ Info: [34] train-mlogloss:0.02247432764619589 [ Info: [35] train-mlogloss:0.02240998666733503 [ Info: [36] train-mlogloss:0.02233737008646131 [ Info: [37] train-mlogloss:0.02227767921363314 [ Info: [38] train-mlogloss:0.02220815039550265 [ Info: [39] train-mlogloss:0.02215232043216626 [ Info: [40] train-mlogloss:0.02208601101922492 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56191437164942426 [ Info: [2] train-mlogloss:0.33910817225774131 [ Info: [3] train-mlogloss:0.21856516222159067 [ Info: [4] train-mlogloss:0.14841118007898330 [ Info: [5] train-mlogloss:0.10553872754176458 [ Info: [6] train-mlogloss:0.07602598796288172 [ Info: [7] train-mlogloss:0.05868408739566803 [ Info: [8] train-mlogloss:0.04686525786916415 [ Info: [9] train-mlogloss:0.03905878946185112 [ Info: [10] train-mlogloss:0.03478899004558722 [ Info: [11] train-mlogloss:0.03175015917668740 [ Info: [12] train-mlogloss:0.03044029399752617 [ Info: [13] train-mlogloss:0.02940484020859003 [ Info: [14] train-mlogloss:0.02847372467319171 [ Info: [15] train-mlogloss:0.02754633985459804 [ Info: [16] train-mlogloss:0.02671930517380436 [ Info: [17] train-mlogloss:0.02609613571316004 [ Info: [18] train-mlogloss:0.02543225641672810 [ Info: [19] train-mlogloss:0.02482004581019282 [ Info: [20] train-mlogloss:0.02428771935403347 [ Info: [21] train-mlogloss:0.02378489003206293 [ Info: [22] train-mlogloss:0.02334728552649418 [ Info: [23] train-mlogloss:0.02299190161749720 [ Info: [24] train-mlogloss:0.02291124919429421 [ Info: [25] train-mlogloss:0.02277027521903316 [ Info: [26] train-mlogloss:0.02269187179083626 [ Info: [27] train-mlogloss:0.02263550523668528 [ Info: [28] train-mlogloss:0.02249047279357910 [ Info: [29] train-mlogloss:0.02243124239146710 [ Info: [30] train-mlogloss:0.02238824227203925 [ Info: [31] train-mlogloss:0.02224597878754139 [ Info: [32] train-mlogloss:0.02219837486743927 [ Info: [33] train-mlogloss:0.02216376307109992 [ Info: [34] train-mlogloss:0.02202748850608865 [ Info: [35] train-mlogloss:0.02198773790150881 [ Info: [36] train-mlogloss:0.02195885125547647 [ Info: [37] train-mlogloss:0.02193736693511407 [ Info: [38] train-mlogloss:0.02179786918995281 [ Info: [39] train-mlogloss:0.02177006164876123 [ Info: [40] train-mlogloss:0.02174980804324150 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48435798883438108 [ Info: [2] train-mlogloss:0.27104943990707397 [ Info: [3] train-mlogloss:0.16510688463846843 [ Info: [4] train-mlogloss:0.10797029564778010 [ Info: [5] train-mlogloss:0.07527205819884936 [ Info: [6] train-mlogloss:0.05659511727591356 [ Info: [7] train-mlogloss:0.04511827429135640 [ Info: [8] train-mlogloss:0.03692181115349134 [ Info: [9] train-mlogloss:0.03486072038610776 [ Info: [10] train-mlogloss:0.03291214369237423 [ Info: [11] train-mlogloss:0.03148153385768334 [ Info: [12] train-mlogloss:0.03005111845831076 [ Info: [13] train-mlogloss:0.02897876862436533 [ Info: [14] train-mlogloss:0.02789193806548913 [ Info: [15] train-mlogloss:0.02691175590579709 [ Info: [16] train-mlogloss:0.02608261135717233 [ Info: [17] train-mlogloss:0.02541761370375752 [ Info: [18] train-mlogloss:0.02472779300684730 [ Info: [19] train-mlogloss:0.02420261466875672 [ Info: [20] train-mlogloss:0.02364991964772344 [ Info: [21] train-mlogloss:0.02320181409517924 [ Info: [22] train-mlogloss:0.02282683204238613 [ Info: [23] train-mlogloss:0.02272704911728700 [ Info: [24] train-mlogloss:0.02265999675417940 [ Info: [25] train-mlogloss:0.02246562475338578 [ Info: [26] train-mlogloss:0.02239218581157426 [ Info: [27] train-mlogloss:0.02234264302067459 [ Info: [28] train-mlogloss:0.02215634327071409 [ Info: [29] train-mlogloss:0.02209852228872478 [ Info: [30] train-mlogloss:0.02205966487837335 [ Info: [31] train-mlogloss:0.02202573616368075 [ Info: [32] train-mlogloss:0.02199408826107780 [ Info: [33] train-mlogloss:0.02196669046456615 [ Info: [34] train-mlogloss:0.02194111167142788 [ Info: [35] train-mlogloss:0.02191884320850174 [ Info: [36] train-mlogloss:0.02189824366942048 [ Info: [37] train-mlogloss:0.02171991559987267 [ Info: [38] train-mlogloss:0.02168927164748311 [ Info: [39] train-mlogloss:0.02166944811431070 [ Info: [40] train-mlogloss:0.02165555596041183 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97161810954411820 [ Info: [2] train-mlogloss:0.86422506252924602 [ Info: [3] train-mlogloss:0.77242387374242150 [ Info: [4] train-mlogloss:0.69316440661748246 [ Info: [5] train-mlogloss:0.62418248732884729 [ Info: [6] train-mlogloss:0.56377502600351970 [ Info: [7] train-mlogloss:0.51063514033953350 [ Info: [8] train-mlogloss:0.46366582592328387 [ Info: [9] train-mlogloss:0.42200025478998821 [ Info: [10] train-mlogloss:0.38493317961692808 [ Info: [11] train-mlogloss:0.35188044190406798 [ Info: [12] train-mlogloss:0.32230006059010824 [ Info: [13] train-mlogloss:0.29580036322275799 [ Info: [14] train-mlogloss:0.27200926760832467 [ Info: [15] train-mlogloss:0.25059861024220786 [ Info: [16] train-mlogloss:0.23026965081691741 [ Info: [17] train-mlogloss:0.21282666921615601 [ Info: [18] train-mlogloss:0.19618950307369232 [ Info: [19] train-mlogloss:0.18115108609199523 [ Info: [20] train-mlogloss:0.16821699082851410 [ Info: [21] train-mlogloss:0.15581661442915598 [ Info: [22] train-mlogloss:0.14525623063246410 [ Info: [23] train-mlogloss:0.13494234542051950 [ Info: [24] train-mlogloss:0.12582230955362320 [ Info: [25] train-mlogloss:0.11769702702760697 [ Info: [26] train-mlogloss:0.11029372751712799 [ Info: [27] train-mlogloss:0.10356533219416936 [ Info: [28] train-mlogloss:0.09746937354405721 [ Info: [29] train-mlogloss:0.09180998464425405 [ Info: [30] train-mlogloss:0.08655968015392622 [ Info: [31] train-mlogloss:0.08170395210385323 [ Info: [32] train-mlogloss:0.07729958365360896 [ Info: [33] train-mlogloss:0.07326010564963023 [ Info: [34] train-mlogloss:0.06955043147007624 [ Info: [35] train-mlogloss:0.06612465073664983 [ Info: [36] train-mlogloss:0.06292716696858407 [ Info: [37] train-mlogloss:0.05975820407271385 [ Info: [38] train-mlogloss:0.05714897304773331 [ Info: [39] train-mlogloss:0.05470037465294202 [ Info: [40] train-mlogloss:0.05232506632804870 [ Info: [41] train-mlogloss:0.05033480765918891 [ Info: [42] train-mlogloss:0.04849435930450757 [ Info: [43] train-mlogloss:0.04656693667173386 [ Info: [44] train-mlogloss:0.04501385668913523 [ Info: [45] train-mlogloss:0.04355287082493305 [ Info: [46] train-mlogloss:0.04196753966311614 [ Info: [47] train-mlogloss:0.04081541471183300 [ Info: [48] train-mlogloss:0.03952236404021581 [ Info: [49] train-mlogloss:0.03854069146017233 [ Info: [50] train-mlogloss:0.03737237079689900 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85418740510940550 [ Info: [2] train-mlogloss:0.68012375354766841 [ Info: [3] train-mlogloss:0.55066617012023922 [ Info: [4] train-mlogloss:0.45151869257291161 [ Info: [5] train-mlogloss:0.37414930224418641 [ Info: [6] train-mlogloss:0.31280781865119933 [ Info: [7] train-mlogloss:0.26377195616563159 [ Info: [8] train-mlogloss:0.22413852353890737 [ Info: [9] train-mlogloss:0.19005509912967683 [ Info: [10] train-mlogloss:0.16367422978083293 [ Info: [11] train-mlogloss:0.14061589340368907 [ Info: [12] train-mlogloss:0.12206149935722350 [ Info: [13] train-mlogloss:0.10703390200932821 [ Info: [14] train-mlogloss:0.09447535723447800 [ Info: [15] train-mlogloss:0.08393221234281857 [ Info: [16] train-mlogloss:0.07532257810235024 [ Info: [17] train-mlogloss:0.06773205454150835 [ Info: [18] train-mlogloss:0.06137101183334986 [ Info: [19] train-mlogloss:0.05586648811896642 [ Info: [20] train-mlogloss:0.05101346495250861 [ Info: [21] train-mlogloss:0.04742784798145294 [ Info: [22] train-mlogloss:0.04429156815012296 [ Info: [23] train-mlogloss:0.04129354494313399 [ Info: [24] train-mlogloss:0.03873162244757016 [ Info: [25] train-mlogloss:0.03686529320975145 [ Info: [26] train-mlogloss:0.03486422865341107 [ Info: [27] train-mlogloss:0.03407400938371817 [ Info: [28] train-mlogloss:0.03332098634292682 [ Info: [29] train-mlogloss:0.03268073379993439 [ Info: [30] train-mlogloss:0.03206814053157965 [ Info: [31] train-mlogloss:0.03152260165661573 [ Info: [32] train-mlogloss:0.03100016011546055 [ Info: [33] train-mlogloss:0.03057606045156717 [ Info: [34] train-mlogloss:0.03011309182892243 [ Info: [35] train-mlogloss:0.02973511344442765 [ Info: [36] train-mlogloss:0.02937117482225100 [ Info: [37] train-mlogloss:0.02900940495232741 [ Info: [38] train-mlogloss:0.02867340311408043 [ Info: [39] train-mlogloss:0.02834116201847792 [ Info: [40] train-mlogloss:0.02801144367704789 [ Info: [41] train-mlogloss:0.02769860231628021 [ Info: [42] train-mlogloss:0.02737973877539237 [ Info: [43] train-mlogloss:0.02708115479598443 [ Info: [44] train-mlogloss:0.02679309001813332 [ Info: [45] train-mlogloss:0.02651668979475896 [ Info: [46] train-mlogloss:0.02624582936366399 [ Info: [47] train-mlogloss:0.02599305694301923 [ Info: [48] train-mlogloss:0.02574761490027110 [ Info: [49] train-mlogloss:0.02551126184562842 [ Info: [50] train-mlogloss:0.02528153264274200 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74668323596318564 [ Info: [2] train-mlogloss:0.53829931259155273 [ Info: [3] train-mlogloss:0.39948616027832029 [ Info: [4] train-mlogloss:0.30377708514531454 [ Info: [5] train-mlogloss:0.23558550616105398 [ Info: [6] train-mlogloss:0.18574747542540232 [ Info: [7] train-mlogloss:0.14885355452696483 [ Info: [8] train-mlogloss:0.11918563206990559 [ Info: [9] train-mlogloss:0.09895581771930059 [ Info: [10] train-mlogloss:0.08311718195676804 [ Info: [11] train-mlogloss:0.07058094580968222 [ Info: [12] train-mlogloss:0.06054664924740791 [ Info: [13] train-mlogloss:0.05196660672624906 [ Info: [14] train-mlogloss:0.04679319404065609 [ Info: [15] train-mlogloss:0.04192288676897685 [ Info: [16] train-mlogloss:0.03812311872839928 [ Info: [17] train-mlogloss:0.03561381756017606 [ Info: [18] train-mlogloss:0.03372342007855574 [ Info: [19] train-mlogloss:0.03272843862573305 [ Info: [20] train-mlogloss:0.03177696717282136 [ Info: [21] train-mlogloss:0.03102124591668447 [ Info: [22] train-mlogloss:0.03025783712665240 [ Info: [23] train-mlogloss:0.02963501696785291 [ Info: [24] train-mlogloss:0.02906367166588704 [ Info: [25] train-mlogloss:0.02852453363438447 [ Info: [26] train-mlogloss:0.02802319521705309 [ Info: [27] train-mlogloss:0.02753076927115520 [ Info: [28] train-mlogloss:0.02708194299290578 [ Info: [29] train-mlogloss:0.02662873224665721 [ Info: [30] train-mlogloss:0.02622659823546807 [ Info: [31] train-mlogloss:0.02582841708014409 [ Info: [32] train-mlogloss:0.02546243961279591 [ Info: [33] train-mlogloss:0.02511775747562448 [ Info: [34] train-mlogloss:0.02476994708180428 [ Info: [35] train-mlogloss:0.02445087553933263 [ Info: [36] train-mlogloss:0.02413995660841465 [ Info: [37] train-mlogloss:0.02384704986587167 [ Info: [38] train-mlogloss:0.02355567832787831 [ Info: [39] train-mlogloss:0.02330065644035737 [ Info: [40] train-mlogloss:0.02306560593967636 [ Info: [41] train-mlogloss:0.02285831511641542 [ Info: [42] train-mlogloss:0.02279750679309170 [ Info: [43] train-mlogloss:0.02274274763340751 [ Info: [44] train-mlogloss:0.02268670771270991 [ Info: [45] train-mlogloss:0.02263296994070212 [ Info: [46] train-mlogloss:0.02258079176768660 [ Info: [47] train-mlogloss:0.02252834965785344 [ Info: [48] train-mlogloss:0.02247938838476936 [ Info: [49] train-mlogloss:0.02242836073661844 [ Info: [50] train-mlogloss:0.02238213433573643 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64927309354146323 [ Info: [2] train-mlogloss:0.42632685025533040 [ Info: [3] train-mlogloss:0.29344410419464112 [ Info: [4] train-mlogloss:0.20954555869102479 [ Info: [5] train-mlogloss:0.15435360948244731 [ Info: [6] train-mlogloss:0.11706523666779201 [ Info: [7] train-mlogloss:0.09134315301974615 [ Info: [8] train-mlogloss:0.07204435780644416 [ Info: [9] train-mlogloss:0.05893350909153620 [ Info: [10] train-mlogloss:0.04835326304038366 [ Info: [11] train-mlogloss:0.04251975553731124 [ Info: [12] train-mlogloss:0.03829192804793517 [ Info: [13] train-mlogloss:0.03411459372689327 [ Info: [14] train-mlogloss:0.03275162811080615 [ Info: [15] train-mlogloss:0.03165001675486565 [ Info: [16] train-mlogloss:0.03056744287411372 [ Info: [17] train-mlogloss:0.02970826793462038 [ Info: [18] train-mlogloss:0.02894620336592197 [ Info: [19] train-mlogloss:0.02829582543422779 [ Info: [20] train-mlogloss:0.02761461984366179 [ Info: [21] train-mlogloss:0.02702209618563453 [ Info: [22] train-mlogloss:0.02647040139262875 [ Info: [23] train-mlogloss:0.02590142282346885 [ Info: [24] train-mlogloss:0.02537673553451896 [ Info: [25] train-mlogloss:0.02491787153606613 [ Info: [26] train-mlogloss:0.02447813356916110 [ Info: [27] train-mlogloss:0.02405790941789746 [ Info: [28] train-mlogloss:0.02366545705745618 [ Info: [29] train-mlogloss:0.02329995127394795 [ Info: [30] train-mlogloss:0.02297414763520161 [ Info: [31] train-mlogloss:0.02269796501845121 [ Info: [32] train-mlogloss:0.02262002183124423 [ Info: [33] train-mlogloss:0.02254983508338531 [ Info: [34] train-mlogloss:0.02247432764619589 [ Info: [35] train-mlogloss:0.02240998666733503 [ Info: [36] train-mlogloss:0.02233737008646131 [ Info: [37] train-mlogloss:0.02227767921363314 [ Info: [38] train-mlogloss:0.02220815039550265 [ Info: [39] train-mlogloss:0.02215232043216626 [ Info: [40] train-mlogloss:0.02208601101922492 [ Info: [41] train-mlogloss:0.02203352461569011 [ Info: [42] train-mlogloss:0.02197033492848277 [ Info: [43] train-mlogloss:0.02192079738403360 [ Info: [44] train-mlogloss:0.02186065450000266 [ Info: [45] train-mlogloss:0.02181371431797743 [ Info: [46] train-mlogloss:0.02175658412277699 [ Info: [47] train-mlogloss:0.02171203339782854 [ Info: [48] train-mlogloss:0.02165769019785027 [ Info: [49] train-mlogloss:0.02161535837997993 [ Info: [50] train-mlogloss:0.02158254674325387 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56191437164942426 [ Info: [2] train-mlogloss:0.33910817225774131 [ Info: [3] train-mlogloss:0.21856516222159067 [ Info: [4] train-mlogloss:0.14841118007898330 [ Info: [5] train-mlogloss:0.10553872754176458 [ Info: [6] train-mlogloss:0.07602598796288172 [ Info: [7] train-mlogloss:0.05868408739566803 [ Info: [8] train-mlogloss:0.04686525786916415 [ Info: [9] train-mlogloss:0.03905878946185112 [ Info: [10] train-mlogloss:0.03478899004558722 [ Info: [11] train-mlogloss:0.03175015917668740 [ Info: [12] train-mlogloss:0.03044029399752617 [ Info: [13] train-mlogloss:0.02940484020859003 [ Info: [14] train-mlogloss:0.02847372467319171 [ Info: [15] train-mlogloss:0.02754633985459804 [ Info: [16] train-mlogloss:0.02671930517380436 [ Info: [17] train-mlogloss:0.02609613571316004 [ Info: [18] train-mlogloss:0.02543225641672810 [ Info: [19] train-mlogloss:0.02482004581019282 [ Info: [20] train-mlogloss:0.02428771935403347 [ Info: [21] train-mlogloss:0.02378489003206293 [ Info: [22] train-mlogloss:0.02334728552649418 [ Info: [23] train-mlogloss:0.02299190161749720 [ Info: [24] train-mlogloss:0.02291124919429421 [ Info: [25] train-mlogloss:0.02277027521903316 [ Info: [26] train-mlogloss:0.02269187179083626 [ Info: [27] train-mlogloss:0.02263550523668528 [ Info: [28] train-mlogloss:0.02249047279357910 [ Info: [29] train-mlogloss:0.02243124239146710 [ Info: [30] train-mlogloss:0.02238824227203925 [ Info: [31] train-mlogloss:0.02224597878754139 [ Info: [32] train-mlogloss:0.02219837486743927 [ Info: [33] train-mlogloss:0.02216376307109992 [ Info: [34] train-mlogloss:0.02202748850608865 [ Info: [35] train-mlogloss:0.02198773790150881 [ Info: [36] train-mlogloss:0.02195885125547647 [ Info: [37] train-mlogloss:0.02193736693511407 [ Info: [38] train-mlogloss:0.02179786918995281 [ Info: [39] train-mlogloss:0.02177006164876123 [ Info: [40] train-mlogloss:0.02174980804324150 [ Info: [41] train-mlogloss:0.02173333865279953 [ Info: [42] train-mlogloss:0.02171634071817001 [ Info: [43] train-mlogloss:0.02170251467575629 [ Info: [44] train-mlogloss:0.02168829298267762 [ Info: [45] train-mlogloss:0.02155901879382630 [ Info: [46] train-mlogloss:0.02153884060680866 [ Info: [47] train-mlogloss:0.02152443116530776 [ Info: [48] train-mlogloss:0.02151197495559851 [ Info: [49] train-mlogloss:0.02150058178852002 [ Info: [50] train-mlogloss:0.02148855309312542 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48435798883438108 [ Info: [2] train-mlogloss:0.27104943990707397 [ Info: [3] train-mlogloss:0.16510688463846843 [ Info: [4] train-mlogloss:0.10797029564778010 [ Info: [5] train-mlogloss:0.07527205819884936 [ Info: [6] train-mlogloss:0.05659511727591356 [ Info: [7] train-mlogloss:0.04511827429135640 [ Info: [8] train-mlogloss:0.03692181115349134 [ Info: [9] train-mlogloss:0.03486072038610776 [ Info: [10] train-mlogloss:0.03291214369237423 [ Info: [11] train-mlogloss:0.03148153385768334 [ Info: [12] train-mlogloss:0.03005111845831076 [ Info: [13] train-mlogloss:0.02897876862436533 [ Info: [14] train-mlogloss:0.02789193806548913 [ Info: [15] train-mlogloss:0.02691175590579709 [ Info: [16] train-mlogloss:0.02608261135717233 [ Info: [17] train-mlogloss:0.02541761370375752 [ Info: [18] train-mlogloss:0.02472779300684730 [ Info: [19] train-mlogloss:0.02420261466875672 [ Info: [20] train-mlogloss:0.02364991964772344 [ Info: [21] train-mlogloss:0.02320181409517924 [ Info: [22] train-mlogloss:0.02282683204238613 [ Info: [23] train-mlogloss:0.02272704911728700 [ Info: [24] train-mlogloss:0.02265999675417940 [ Info: [25] train-mlogloss:0.02246562475338578 [ Info: [26] train-mlogloss:0.02239218581157426 [ Info: [27] train-mlogloss:0.02234264302067459 [ Info: [28] train-mlogloss:0.02215634327071409 [ Info: [29] train-mlogloss:0.02209852228872478 [ Info: [30] train-mlogloss:0.02205966487837335 [ Info: [31] train-mlogloss:0.02202573616368075 [ Info: [32] train-mlogloss:0.02199408826107780 [ Info: [33] train-mlogloss:0.02196669046456615 [ Info: [34] train-mlogloss:0.02194111167142788 [ Info: [35] train-mlogloss:0.02191884320850174 [ Info: [36] train-mlogloss:0.02189824366942048 [ Info: [37] train-mlogloss:0.02171991559987267 [ Info: [38] train-mlogloss:0.02168927164748311 [ Info: [39] train-mlogloss:0.02166944811431070 [ Info: [40] train-mlogloss:0.02165555596041183 [ Info: [41] train-mlogloss:0.02163912501496573 [ Info: [42] train-mlogloss:0.02162564633414149 [ Info: [43] train-mlogloss:0.02160932353076836 [ Info: [44] train-mlogloss:0.02159638495805363 [ Info: [45] train-mlogloss:0.02158031646783153 [ Info: [46] train-mlogloss:0.02156684132913748 [ Info: [47] train-mlogloss:0.02155332108959556 [ Info: [48] train-mlogloss:0.02153864653160175 [ Info: [49] train-mlogloss:0.02152486067886154 [ Info: [50] train-mlogloss:0.02151102980909248 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97172303120295211 [ Info: [2] train-mlogloss:0.86457204659779863 [ Info: [3] train-mlogloss:0.77293322801589970 [ Info: [4] train-mlogloss:0.69380067189534500 [ Info: [5] train-mlogloss:0.62497102896372481 [ Info: [6] train-mlogloss:0.56473412036895754 [ Info: [7] train-mlogloss:0.51175034205118819 [ Info: [8] train-mlogloss:0.46304136037826538 [ Info: [9] train-mlogloss:0.41985160748163858 [ Info: [10] train-mlogloss:0.38218975782394410 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85437153577804570 [ Info: [2] train-mlogloss:0.68088812907536822 [ Info: [3] train-mlogloss:0.55178049643834437 [ Info: [4] train-mlogloss:0.45298246224721272 [ Info: [5] train-mlogloss:0.37391668637593589 [ Info: [6] train-mlogloss:0.31014401356379190 [ Info: [7] train-mlogloss:0.25914374589920042 [ Info: [8] train-mlogloss:0.21590523183345794 [ Info: [9] train-mlogloss:0.18097873230775197 [ Info: [10] train-mlogloss:0.15399395505587260 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74692022323608398 [ Info: [2] train-mlogloss:0.53746284325917559 [ Info: [3] train-mlogloss:0.39451924482981365 [ Info: [4] train-mlogloss:0.29607976953188581 [ Info: [5] train-mlogloss:0.22612788875897724 [ Info: [6] train-mlogloss:0.17284638345241546 [ Info: [7] train-mlogloss:0.13663062651952107 [ Info: [8] train-mlogloss:0.10795344561338424 [ Info: [9] train-mlogloss:0.08673286457856497 [ Info: [10] train-mlogloss:0.07126346200704575 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64953631639480591 [ Info: [2] train-mlogloss:0.42578434944152832 [ Info: [3] train-mlogloss:0.29098498463630679 [ Info: [4] train-mlogloss:0.20393840273221334 [ Info: [5] train-mlogloss:0.14378322859605153 [ Info: [6] train-mlogloss:0.10695433020591735 [ Info: [7] train-mlogloss:0.08005390102664629 [ Info: [8] train-mlogloss:0.06183182229598363 [ Info: [9] train-mlogloss:0.04921108255783717 [ Info: [10] train-mlogloss:0.04081443590422471 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56217798630396520 [ Info: [2] train-mlogloss:0.33891698082288108 [ Info: [3] train-mlogloss:0.20804313898086549 [ Info: [4] train-mlogloss:0.13687385221322376 [ Info: [5] train-mlogloss:0.09295179347197215 [ Info: [6] train-mlogloss:0.06678578197956085 [ Info: [7] train-mlogloss:0.05084115698933601 [ Info: [8] train-mlogloss:0.03937793992459774 [ Info: [9] train-mlogloss:0.03303273665408293 [ Info: [10] train-mlogloss:0.02886811077594757 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48459716002146402 [ Info: [2] train-mlogloss:0.27135264813899995 [ Info: [3] train-mlogloss:0.15458774477243423 [ Info: [4] train-mlogloss:0.09367984493573507 [ Info: [5] train-mlogloss:0.06332938462495803 [ Info: [6] train-mlogloss:0.04517673179507255 [ Info: [7] train-mlogloss:0.03533447958528996 [ Info: [8] train-mlogloss:0.02952266603708267 [ Info: [9] train-mlogloss:0.02765569925308228 [ Info: [10] train-mlogloss:0.02642587603380283 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97172303120295211 [ Info: [2] train-mlogloss:0.86457204659779863 [ Info: [3] train-mlogloss:0.77293322801589970 [ Info: [4] train-mlogloss:0.69380067189534500 [ Info: [5] train-mlogloss:0.62497102896372481 [ Info: [6] train-mlogloss:0.56473412036895754 [ Info: [7] train-mlogloss:0.51175034205118819 [ Info: [8] train-mlogloss:0.46304136037826538 [ Info: [9] train-mlogloss:0.41985160748163858 [ Info: [10] train-mlogloss:0.38218975782394410 [ Info: [11] train-mlogloss:0.34795212467511494 [ Info: [12] train-mlogloss:0.31734514554341636 [ Info: [13] train-mlogloss:0.28992289463678994 [ Info: [14] train-mlogloss:0.26530531148115793 [ Info: [15] train-mlogloss:0.24210822542508442 [ Info: [16] train-mlogloss:0.22221501926581064 [ Info: [17] train-mlogloss:0.20335691968599956 [ Info: [18] train-mlogloss:0.18636683662732442 [ Info: [19] train-mlogloss:0.17178229014078775 [ Info: [20] train-mlogloss:0.15786621212959290 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85437153577804570 [ Info: [2] train-mlogloss:0.68088812907536822 [ Info: [3] train-mlogloss:0.55178049643834437 [ Info: [4] train-mlogloss:0.45298246224721272 [ Info: [5] train-mlogloss:0.37391668637593589 [ Info: [6] train-mlogloss:0.31014401356379190 [ Info: [7] train-mlogloss:0.25914374589920042 [ Info: [8] train-mlogloss:0.21590523183345794 [ Info: [9] train-mlogloss:0.18097873230775197 [ Info: [10] train-mlogloss:0.15399395505587260 [ Info: [11] train-mlogloss:0.13057580729325613 [ Info: [12] train-mlogloss:0.11276271839936575 [ Info: [13] train-mlogloss:0.09726686825354894 [ Info: [14] train-mlogloss:0.08452635109424592 [ Info: [15] train-mlogloss:0.07422490909695625 [ Info: [16] train-mlogloss:0.06564203063646952 [ Info: [17] train-mlogloss:0.05833026260137558 [ Info: [18] train-mlogloss:0.05270830631256104 [ Info: [19] train-mlogloss:0.04737749119599660 [ Info: [20] train-mlogloss:0.04288959922889869 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74692022323608398 [ Info: [2] train-mlogloss:0.53746284325917559 [ Info: [3] train-mlogloss:0.39451924482981365 [ Info: [4] train-mlogloss:0.29607976953188581 [ Info: [5] train-mlogloss:0.22612788875897724 [ Info: [6] train-mlogloss:0.17284638345241546 [ Info: [7] train-mlogloss:0.13663062651952107 [ Info: [8] train-mlogloss:0.10795344561338424 [ Info: [9] train-mlogloss:0.08673286457856497 [ Info: [10] train-mlogloss:0.07126346200704575 [ Info: [11] train-mlogloss:0.05931521942218144 [ Info: [12] train-mlogloss:0.05007228960593541 [ Info: [13] train-mlogloss:0.04342592063049475 [ Info: [14] train-mlogloss:0.03864688138167063 [ Info: [15] train-mlogloss:0.03472210834423701 [ Info: [16] train-mlogloss:0.03149293586611748 [ Info: [17] train-mlogloss:0.02900125761826833 [ Info: [18] train-mlogloss:0.02803586111714442 [ Info: [19] train-mlogloss:0.02736241931716601 [ Info: [20] train-mlogloss:0.02666818012793859 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64953631639480591 [ Info: [2] train-mlogloss:0.42578434944152832 [ Info: [3] train-mlogloss:0.29098498463630679 [ Info: [4] train-mlogloss:0.20393840273221334 [ Info: [5] train-mlogloss:0.14378322859605153 [ Info: [6] train-mlogloss:0.10695433020591735 [ Info: [7] train-mlogloss:0.08005390102664629 [ Info: [8] train-mlogloss:0.06183182229598363 [ Info: [9] train-mlogloss:0.04921108255783717 [ Info: [10] train-mlogloss:0.04081443590422471 [ Info: [11] train-mlogloss:0.03519467403491338 [ Info: [12] train-mlogloss:0.03090482498208682 [ Info: [13] train-mlogloss:0.02790073304126660 [ Info: [14] train-mlogloss:0.02689579426000516 [ Info: [15] train-mlogloss:0.02602255744238694 [ Info: [16] train-mlogloss:0.02521610459933678 [ Info: [17] train-mlogloss:0.02452496246745189 [ Info: [18] train-mlogloss:0.02386848996082942 [ Info: [19] train-mlogloss:0.02334011374662320 [ Info: [20] train-mlogloss:0.02289741234232982 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56217798630396520 [ Info: [2] train-mlogloss:0.33891698082288108 [ Info: [3] train-mlogloss:0.20804313898086549 [ Info: [4] train-mlogloss:0.13687385221322376 [ Info: [5] train-mlogloss:0.09295179347197215 [ Info: [6] train-mlogloss:0.06678578197956085 [ Info: [7] train-mlogloss:0.05084115698933601 [ Info: [8] train-mlogloss:0.03937793992459774 [ Info: [9] train-mlogloss:0.03303273665408293 [ Info: [10] train-mlogloss:0.02886811077594757 [ Info: [11] train-mlogloss:0.02752905052155256 [ Info: [12] train-mlogloss:0.02645502938578526 [ Info: [13] train-mlogloss:0.02554917473345995 [ Info: [14] train-mlogloss:0.02468562513589859 [ Info: [15] train-mlogloss:0.02413292189439138 [ Info: [16] train-mlogloss:0.02366035404304663 [ Info: [17] train-mlogloss:0.02337460664411386 [ Info: [18] train-mlogloss:0.02315440319478512 [ Info: [19] train-mlogloss:0.02296594906598329 [ Info: [20] train-mlogloss:0.02280456780766447 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48459716002146402 [ Info: [2] train-mlogloss:0.27135264813899995 [ Info: [3] train-mlogloss:0.15458774477243423 [ Info: [4] train-mlogloss:0.09367984493573507 [ Info: [5] train-mlogloss:0.06332938462495803 [ Info: [6] train-mlogloss:0.04517673179507255 [ Info: [7] train-mlogloss:0.03533447958528996 [ Info: [8] train-mlogloss:0.02952266603708267 [ Info: [9] train-mlogloss:0.02765569925308228 [ Info: [10] train-mlogloss:0.02642587603380283 [ Info: [11] train-mlogloss:0.02520339238146941 [ Info: [12] train-mlogloss:0.02450736941148838 [ Info: [13] train-mlogloss:0.02392977296064297 [ Info: [14] train-mlogloss:0.02344256560007731 [ Info: [15] train-mlogloss:0.02302570416281621 [ Info: [16] train-mlogloss:0.02269290980572502 [ Info: [17] train-mlogloss:0.02244413125018279 [ Info: [18] train-mlogloss:0.02224151716257135 [ Info: [19] train-mlogloss:0.02206612798695763 [ Info: [20] train-mlogloss:0.02193455974260966 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97172303120295211 [ Info: [2] train-mlogloss:0.86457204659779863 [ Info: [3] train-mlogloss:0.77293322801589970 [ Info: [4] train-mlogloss:0.69380067189534500 [ Info: [5] train-mlogloss:0.62497102896372481 [ Info: [6] train-mlogloss:0.56473412036895754 [ Info: [7] train-mlogloss:0.51175034205118819 [ Info: [8] train-mlogloss:0.46304136037826538 [ Info: [9] train-mlogloss:0.41985160748163858 [ Info: [10] train-mlogloss:0.38218975782394410 [ Info: [11] train-mlogloss:0.34795212467511494 [ Info: [12] train-mlogloss:0.31734514554341636 [ Info: [13] train-mlogloss:0.28992289463678994 [ Info: [14] train-mlogloss:0.26530531148115793 [ Info: [15] train-mlogloss:0.24210822542508442 [ Info: [16] train-mlogloss:0.22221501926581064 [ Info: [17] train-mlogloss:0.20335691968599956 [ Info: [18] train-mlogloss:0.18636683662732442 [ Info: [19] train-mlogloss:0.17178229014078775 [ Info: [20] train-mlogloss:0.15786621212959290 [ Info: [21] train-mlogloss:0.14616500953833261 [ Info: [22] train-mlogloss:0.13503181984027227 [ Info: [23] train-mlogloss:0.12496497362852096 [ Info: [24] train-mlogloss:0.11617929846048355 [ Info: [25] train-mlogloss:0.10782609045505524 [ Info: [26] train-mlogloss:0.10054756929477056 [ Info: [27] train-mlogloss:0.09358794778585434 [ Info: [28] train-mlogloss:0.08726847430070241 [ Info: [29] train-mlogloss:0.08171422536174457 [ Info: [30] train-mlogloss:0.07663392782211303 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85437153577804570 [ Info: [2] train-mlogloss:0.68088812907536822 [ Info: [3] train-mlogloss:0.55178049643834437 [ Info: [4] train-mlogloss:0.45298246224721272 [ Info: [5] train-mlogloss:0.37391668637593589 [ Info: [6] train-mlogloss:0.31014401356379190 [ Info: [7] train-mlogloss:0.25914374589920042 [ Info: [8] train-mlogloss:0.21590523183345794 [ Info: [9] train-mlogloss:0.18097873230775197 [ Info: [10] train-mlogloss:0.15399395505587260 [ Info: [11] train-mlogloss:0.13057580729325613 [ Info: [12] train-mlogloss:0.11276271839936575 [ Info: [13] train-mlogloss:0.09726686825354894 [ Info: [14] train-mlogloss:0.08452635109424592 [ Info: [15] train-mlogloss:0.07422490909695625 [ Info: [16] train-mlogloss:0.06564203063646952 [ Info: [17] train-mlogloss:0.05833026260137558 [ Info: [18] train-mlogloss:0.05270830631256104 [ Info: [19] train-mlogloss:0.04737749119599660 [ Info: [20] train-mlogloss:0.04288959922889869 [ Info: [21] train-mlogloss:0.03977145192523798 [ Info: [22] train-mlogloss:0.03703679218888282 [ Info: [23] train-mlogloss:0.03457444451749325 [ Info: [24] train-mlogloss:0.03251071331401666 [ Info: [25] train-mlogloss:0.03074411429464817 [ Info: [26] train-mlogloss:0.02919696668783824 [ Info: [27] train-mlogloss:0.02855599187314510 [ Info: [28] train-mlogloss:0.02796278777221839 [ Info: [29] train-mlogloss:0.02749684865276019 [ Info: [30] train-mlogloss:0.02706192749241988 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74692022323608398 [ Info: [2] train-mlogloss:0.53746284325917559 [ Info: [3] train-mlogloss:0.39451924482981365 [ Info: [4] train-mlogloss:0.29607976953188581 [ Info: [5] train-mlogloss:0.22612788875897724 [ Info: [6] train-mlogloss:0.17284638345241546 [ Info: [7] train-mlogloss:0.13663062651952107 [ Info: [8] train-mlogloss:0.10795344561338424 [ Info: [9] train-mlogloss:0.08673286457856497 [ Info: [10] train-mlogloss:0.07126346200704575 [ Info: [11] train-mlogloss:0.05931521942218144 [ Info: [12] train-mlogloss:0.05007228960593541 [ Info: [13] train-mlogloss:0.04342592063049475 [ Info: [14] train-mlogloss:0.03864688138167063 [ Info: [15] train-mlogloss:0.03472210834423701 [ Info: [16] train-mlogloss:0.03149293586611748 [ Info: [17] train-mlogloss:0.02900125761826833 [ Info: [18] train-mlogloss:0.02803586111714442 [ Info: [19] train-mlogloss:0.02736241931716601 [ Info: [20] train-mlogloss:0.02666818012793859 [ Info: [21] train-mlogloss:0.02608144842088223 [ Info: [22] train-mlogloss:0.02552165096004804 [ Info: [23] train-mlogloss:0.02500423322121302 [ Info: [24] train-mlogloss:0.02456338585664829 [ Info: [25] train-mlogloss:0.02418037014702956 [ Info: [26] train-mlogloss:0.02383397971590360 [ Info: [27] train-mlogloss:0.02351902627696593 [ Info: [28] train-mlogloss:0.02323158096522093 [ Info: [29] train-mlogloss:0.02306973478446404 [ Info: [30] train-mlogloss:0.02293099249402682 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64953631639480591 [ Info: [2] train-mlogloss:0.42578434944152832 [ Info: [3] train-mlogloss:0.29098498463630679 [ Info: [4] train-mlogloss:0.20393840273221334 [ Info: [5] train-mlogloss:0.14378322859605153 [ Info: [6] train-mlogloss:0.10695433020591735 [ Info: [7] train-mlogloss:0.08005390102664629 [ Info: [8] train-mlogloss:0.06183182229598363 [ Info: [9] train-mlogloss:0.04921108255783717 [ Info: [10] train-mlogloss:0.04081443590422471 [ Info: [11] train-mlogloss:0.03519467403491338 [ Info: [12] train-mlogloss:0.03090482498208682 [ Info: [13] train-mlogloss:0.02790073304126660 [ Info: [14] train-mlogloss:0.02689579426000516 [ Info: [15] train-mlogloss:0.02602255744238694 [ Info: [16] train-mlogloss:0.02521610459933678 [ Info: [17] train-mlogloss:0.02452496246745189 [ Info: [18] train-mlogloss:0.02386848996082942 [ Info: [19] train-mlogloss:0.02334011374662320 [ Info: [20] train-mlogloss:0.02289741234232982 [ Info: [21] train-mlogloss:0.02251815795898438 [ Info: [22] train-mlogloss:0.02228783801198006 [ Info: [23] train-mlogloss:0.02210114457954963 [ Info: [24] train-mlogloss:0.02194126397371292 [ Info: [25] train-mlogloss:0.02179583568125963 [ Info: [26] train-mlogloss:0.02167519132917126 [ Info: [27] train-mlogloss:0.02155828906844059 [ Info: [28] train-mlogloss:0.02146391109873851 [ Info: [29] train-mlogloss:0.02136723207309842 [ Info: [30] train-mlogloss:0.02131121143698692 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56217798630396520 [ Info: [2] train-mlogloss:0.33891698082288108 [ Info: [3] train-mlogloss:0.20804313898086549 [ Info: [4] train-mlogloss:0.13687385221322376 [ Info: [5] train-mlogloss:0.09295179347197215 [ Info: [6] train-mlogloss:0.06678578197956085 [ Info: [7] train-mlogloss:0.05084115698933601 [ Info: [8] train-mlogloss:0.03937793992459774 [ Info: [9] train-mlogloss:0.03303273665408293 [ Info: [10] train-mlogloss:0.02886811077594757 [ Info: [11] train-mlogloss:0.02752905052155256 [ Info: [12] train-mlogloss:0.02645502938578526 [ Info: [13] train-mlogloss:0.02554917473345995 [ Info: [14] train-mlogloss:0.02468562513589859 [ Info: [15] train-mlogloss:0.02413292189439138 [ Info: [16] train-mlogloss:0.02366035404304663 [ Info: [17] train-mlogloss:0.02337460664411386 [ Info: [18] train-mlogloss:0.02315440319478512 [ Info: [19] train-mlogloss:0.02296594906598329 [ Info: [20] train-mlogloss:0.02280456780766447 [ Info: [21] train-mlogloss:0.02267344449957212 [ Info: [22] train-mlogloss:0.02254874401415388 [ Info: [23] train-mlogloss:0.02244105761249860 [ Info: [24] train-mlogloss:0.02234324568261703 [ Info: [25] train-mlogloss:0.02224281184375286 [ Info: [26] train-mlogloss:0.02214286828413606 [ Info: [27] train-mlogloss:0.02205371706436078 [ Info: [28] train-mlogloss:0.02197185256828865 [ Info: [29] train-mlogloss:0.02188640791301926 [ Info: [30] train-mlogloss:0.02180295116578539 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48459716002146402 [ Info: [2] train-mlogloss:0.27135264813899995 [ Info: [3] train-mlogloss:0.15458774477243423 [ Info: [4] train-mlogloss:0.09367984493573507 [ Info: [5] train-mlogloss:0.06332938462495803 [ Info: [6] train-mlogloss:0.04517673179507255 [ Info: [7] train-mlogloss:0.03533447958528996 [ Info: [8] train-mlogloss:0.02952266603708267 [ Info: [9] train-mlogloss:0.02765569925308228 [ Info: [10] train-mlogloss:0.02642587603380283 [ Info: [11] train-mlogloss:0.02520339238146941 [ Info: [12] train-mlogloss:0.02450736941148838 [ Info: [13] train-mlogloss:0.02392977296064297 [ Info: [14] train-mlogloss:0.02344256560007731 [ Info: [15] train-mlogloss:0.02302570416281621 [ Info: [16] train-mlogloss:0.02269290980572502 [ Info: [17] train-mlogloss:0.02244413125018279 [ Info: [18] train-mlogloss:0.02224151716257135 [ Info: [19] train-mlogloss:0.02206612798695763 [ Info: [20] train-mlogloss:0.02193455974260966 [ Info: [21] train-mlogloss:0.02184282148877780 [ Info: [22] train-mlogloss:0.02175243659565846 [ Info: [23] train-mlogloss:0.02168571908026934 [ Info: [24] train-mlogloss:0.02155332511911789 [ Info: [25] train-mlogloss:0.02147643532603979 [ Info: [26] train-mlogloss:0.02141398477678498 [ Info: [27] train-mlogloss:0.02134896512453755 [ Info: [28] train-mlogloss:0.02129008673131466 [ Info: [29] train-mlogloss:0.02123396379252275 [ Info: [30] train-mlogloss:0.02117798929413160 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97172303120295211 [ Info: [2] train-mlogloss:0.86457204659779863 [ Info: [3] train-mlogloss:0.77293322801589970 [ Info: [4] train-mlogloss:0.69380067189534500 [ Info: [5] train-mlogloss:0.62497102896372481 [ Info: [6] train-mlogloss:0.56473412036895754 [ Info: [7] train-mlogloss:0.51175034205118819 [ Info: [8] train-mlogloss:0.46304136037826538 [ Info: [9] train-mlogloss:0.41985160748163858 [ Info: [10] train-mlogloss:0.38218975782394410 [ Info: [11] train-mlogloss:0.34795212467511494 [ Info: [12] train-mlogloss:0.31734514554341636 [ Info: [13] train-mlogloss:0.28992289463678994 [ Info: [14] train-mlogloss:0.26530531148115793 [ Info: [15] train-mlogloss:0.24210822542508442 [ Info: [16] train-mlogloss:0.22221501926581064 [ Info: [17] train-mlogloss:0.20335691968599956 [ Info: [18] train-mlogloss:0.18636683662732442 [ Info: [19] train-mlogloss:0.17178229014078775 [ Info: [20] train-mlogloss:0.15786621212959290 [ Info: [21] train-mlogloss:0.14616500953833261 [ Info: [22] train-mlogloss:0.13503181984027227 [ Info: [23] train-mlogloss:0.12496497362852096 [ Info: [24] train-mlogloss:0.11617929846048355 [ Info: [25] train-mlogloss:0.10782609045505524 [ Info: [26] train-mlogloss:0.10054756929477056 [ Info: [27] train-mlogloss:0.09358794778585434 [ Info: [28] train-mlogloss:0.08726847430070241 [ Info: [29] train-mlogloss:0.08171422536174457 [ Info: [30] train-mlogloss:0.07663392782211303 [ Info: [31] train-mlogloss:0.07196963424483935 [ Info: [32] train-mlogloss:0.06769600967566172 [ Info: [33] train-mlogloss:0.06376260677973429 [ Info: [34] train-mlogloss:0.06015166426698366 [ Info: [35] train-mlogloss:0.05682020738720894 [ Info: [36] train-mlogloss:0.05392712051669757 [ Info: [37] train-mlogloss:0.05110598295927048 [ Info: [38] train-mlogloss:0.04869871561725934 [ Info: [39] train-mlogloss:0.04627423840264479 [ Info: [40] train-mlogloss:0.04431426107883454 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85437153577804570 [ Info: [2] train-mlogloss:0.68088812907536822 [ Info: [3] train-mlogloss:0.55178049643834437 [ Info: [4] train-mlogloss:0.45298246224721272 [ Info: [5] train-mlogloss:0.37391668637593589 [ Info: [6] train-mlogloss:0.31014401356379190 [ Info: [7] train-mlogloss:0.25914374589920042 [ Info: [8] train-mlogloss:0.21590523183345794 [ Info: [9] train-mlogloss:0.18097873230775197 [ Info: [10] train-mlogloss:0.15399395505587260 [ Info: [11] train-mlogloss:0.13057580729325613 [ Info: [12] train-mlogloss:0.11276271839936575 [ Info: [13] train-mlogloss:0.09726686825354894 [ Info: [14] train-mlogloss:0.08452635109424592 [ Info: [15] train-mlogloss:0.07422490909695625 [ Info: [16] train-mlogloss:0.06564203063646952 [ Info: [17] train-mlogloss:0.05833026260137558 [ Info: [18] train-mlogloss:0.05270830631256104 [ Info: [19] train-mlogloss:0.04737749119599660 [ Info: [20] train-mlogloss:0.04288959922889869 [ Info: [21] train-mlogloss:0.03977145192523798 [ Info: [22] train-mlogloss:0.03703679218888282 [ Info: [23] train-mlogloss:0.03457444451749325 [ Info: [24] train-mlogloss:0.03251071331401666 [ Info: [25] train-mlogloss:0.03074411429464817 [ Info: [26] train-mlogloss:0.02919696668783824 [ Info: [27] train-mlogloss:0.02855599187314510 [ Info: [28] train-mlogloss:0.02796278777221839 [ Info: [29] train-mlogloss:0.02749684865276019 [ Info: [30] train-mlogloss:0.02706192749241988 [ Info: [31] train-mlogloss:0.02664242400477330 [ Info: [32] train-mlogloss:0.02625452624013027 [ Info: [33] train-mlogloss:0.02587672987331947 [ Info: [34] train-mlogloss:0.02552144049356381 [ Info: [35] train-mlogloss:0.02518530499190092 [ Info: [36] train-mlogloss:0.02487788156916698 [ Info: [37] train-mlogloss:0.02459301967173815 [ Info: [38] train-mlogloss:0.02433029739807049 [ Info: [39] train-mlogloss:0.02408701032400131 [ Info: [40] train-mlogloss:0.02386006342868010 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74692022323608398 [ Info: [2] train-mlogloss:0.53746284325917559 [ Info: [3] train-mlogloss:0.39451924482981365 [ Info: [4] train-mlogloss:0.29607976953188581 [ Info: [5] train-mlogloss:0.22612788875897724 [ Info: [6] train-mlogloss:0.17284638345241546 [ Info: [7] train-mlogloss:0.13663062651952107 [ Info: [8] train-mlogloss:0.10795344561338424 [ Info: [9] train-mlogloss:0.08673286457856497 [ Info: [10] train-mlogloss:0.07126346200704575 [ Info: [11] train-mlogloss:0.05931521942218144 [ Info: [12] train-mlogloss:0.05007228960593541 [ Info: [13] train-mlogloss:0.04342592063049475 [ Info: [14] train-mlogloss:0.03864688138167063 [ Info: [15] train-mlogloss:0.03472210834423701 [ Info: [16] train-mlogloss:0.03149293586611748 [ Info: [17] train-mlogloss:0.02900125761826833 [ Info: [18] train-mlogloss:0.02803586111714442 [ Info: [19] train-mlogloss:0.02736241931716601 [ Info: [20] train-mlogloss:0.02666818012793859 [ Info: [21] train-mlogloss:0.02608144842088223 [ Info: [22] train-mlogloss:0.02552165096004804 [ Info: [23] train-mlogloss:0.02500423322121302 [ Info: [24] train-mlogloss:0.02456338585664829 [ Info: [25] train-mlogloss:0.02418037014702956 [ Info: [26] train-mlogloss:0.02383397971590360 [ Info: [27] train-mlogloss:0.02351902627696593 [ Info: [28] train-mlogloss:0.02323158096522093 [ Info: [29] train-mlogloss:0.02306973478446404 [ Info: [30] train-mlogloss:0.02293099249402682 [ Info: [31] train-mlogloss:0.02280040608098110 [ Info: [32] train-mlogloss:0.02268559839576483 [ Info: [33] train-mlogloss:0.02258043766021729 [ Info: [34] train-mlogloss:0.02248369411254923 [ Info: [35] train-mlogloss:0.02239733985314767 [ Info: [36] train-mlogloss:0.02231442930797736 [ Info: [37] train-mlogloss:0.02224209583674868 [ Info: [38] train-mlogloss:0.02216987716654937 [ Info: [39] train-mlogloss:0.02210602446148793 [ Info: [40] train-mlogloss:0.02204347629100084 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64953631639480591 [ Info: [2] train-mlogloss:0.42578434944152832 [ Info: [3] train-mlogloss:0.29098498463630679 [ Info: [4] train-mlogloss:0.20393840273221334 [ Info: [5] train-mlogloss:0.14378322859605153 [ Info: [6] train-mlogloss:0.10695433020591735 [ Info: [7] train-mlogloss:0.08005390102664629 [ Info: [8] train-mlogloss:0.06183182229598363 [ Info: [9] train-mlogloss:0.04921108255783717 [ Info: [10] train-mlogloss:0.04081443590422471 [ Info: [11] train-mlogloss:0.03519467403491338 [ Info: [12] train-mlogloss:0.03090482498208682 [ Info: [13] train-mlogloss:0.02790073304126660 [ Info: [14] train-mlogloss:0.02689579426000516 [ Info: [15] train-mlogloss:0.02602255744238694 [ Info: [16] train-mlogloss:0.02521610459933678 [ Info: [17] train-mlogloss:0.02452496246745189 [ Info: [18] train-mlogloss:0.02386848996082942 [ Info: [19] train-mlogloss:0.02334011374662320 [ Info: [20] train-mlogloss:0.02289741234232982 [ Info: [21] train-mlogloss:0.02251815795898438 [ Info: [22] train-mlogloss:0.02228783801198006 [ Info: [23] train-mlogloss:0.02210114457954963 [ Info: [24] train-mlogloss:0.02194126397371292 [ Info: [25] train-mlogloss:0.02179583568125963 [ Info: [26] train-mlogloss:0.02167519132917126 [ Info: [27] train-mlogloss:0.02155828906844059 [ Info: [28] train-mlogloss:0.02146391109873851 [ Info: [29] train-mlogloss:0.02136723207309842 [ Info: [30] train-mlogloss:0.02131121143698692 [ Info: [31] train-mlogloss:0.02124967841431499 [ Info: [32] train-mlogloss:0.02119599285225074 [ Info: [33] train-mlogloss:0.02114132634053628 [ Info: [34] train-mlogloss:0.02109018530696630 [ Info: [35] train-mlogloss:0.02104054224366943 [ Info: [36] train-mlogloss:0.02099195554852486 [ Info: [37] train-mlogloss:0.02094422591850162 [ Info: [38] train-mlogloss:0.02089711146429181 [ Info: [39] train-mlogloss:0.02085172977298498 [ Info: [40] train-mlogloss:0.02080819834023714 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56217798630396520 [ Info: [2] train-mlogloss:0.33891698082288108 [ Info: [3] train-mlogloss:0.20804313898086549 [ Info: [4] train-mlogloss:0.13687385221322376 [ Info: [5] train-mlogloss:0.09295179347197215 [ Info: [6] train-mlogloss:0.06678578197956085 [ Info: [7] train-mlogloss:0.05084115698933601 [ Info: [8] train-mlogloss:0.03937793992459774 [ Info: [9] train-mlogloss:0.03303273665408293 [ Info: [10] train-mlogloss:0.02886811077594757 [ Info: [11] train-mlogloss:0.02752905052155256 [ Info: [12] train-mlogloss:0.02645502938578526 [ Info: [13] train-mlogloss:0.02554917473345995 [ Info: [14] train-mlogloss:0.02468562513589859 [ Info: [15] train-mlogloss:0.02413292189439138 [ Info: [16] train-mlogloss:0.02366035404304663 [ Info: [17] train-mlogloss:0.02337460664411386 [ Info: [18] train-mlogloss:0.02315440319478512 [ Info: [19] train-mlogloss:0.02296594906598329 [ Info: [20] train-mlogloss:0.02280456780766447 [ Info: [21] train-mlogloss:0.02267344449957212 [ Info: [22] train-mlogloss:0.02254874401415388 [ Info: [23] train-mlogloss:0.02244105761249860 [ Info: [24] train-mlogloss:0.02234324568261703 [ Info: [25] train-mlogloss:0.02224281184375286 [ Info: [26] train-mlogloss:0.02214286828413606 [ Info: [27] train-mlogloss:0.02205371706436078 [ Info: [28] train-mlogloss:0.02197185256828865 [ Info: [29] train-mlogloss:0.02188640791301926 [ Info: [30] train-mlogloss:0.02180295116578539 [ Info: [31] train-mlogloss:0.02172909550368786 [ Info: [32] train-mlogloss:0.02165759058669210 [ Info: [33] train-mlogloss:0.02158285606031617 [ Info: [34] train-mlogloss:0.02151345533629258 [ Info: [35] train-mlogloss:0.02145179396495223 [ Info: [36] train-mlogloss:0.02138597303380569 [ Info: [37] train-mlogloss:0.02132129634420077 [ Info: [38] train-mlogloss:0.02126628256713351 [ Info: [39] train-mlogloss:0.02120742893467347 [ Info: [40] train-mlogloss:0.02114762365197142 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48459716002146402 [ Info: [2] train-mlogloss:0.27135264813899995 [ Info: [3] train-mlogloss:0.15458774477243423 [ Info: [4] train-mlogloss:0.09367984493573507 [ Info: [5] train-mlogloss:0.06332938462495803 [ Info: [6] train-mlogloss:0.04517673179507255 [ Info: [7] train-mlogloss:0.03533447958528996 [ Info: [8] train-mlogloss:0.02952266603708267 [ Info: [9] train-mlogloss:0.02765569925308228 [ Info: [10] train-mlogloss:0.02642587603380283 [ Info: [11] train-mlogloss:0.02520339238146941 [ Info: [12] train-mlogloss:0.02450736941148838 [ Info: [13] train-mlogloss:0.02392977296064297 [ Info: [14] train-mlogloss:0.02344256560007731 [ Info: [15] train-mlogloss:0.02302570416281621 [ Info: [16] train-mlogloss:0.02269290980572502 [ Info: [17] train-mlogloss:0.02244413125018279 [ Info: [18] train-mlogloss:0.02224151716257135 [ Info: [19] train-mlogloss:0.02206612798695763 [ Info: [20] train-mlogloss:0.02193455974260966 [ Info: [21] train-mlogloss:0.02184282148877780 [ Info: [22] train-mlogloss:0.02175243659565846 [ Info: [23] train-mlogloss:0.02168571908026934 [ Info: [24] train-mlogloss:0.02155332511911789 [ Info: [25] train-mlogloss:0.02147643532603979 [ Info: [26] train-mlogloss:0.02141398477678498 [ Info: [27] train-mlogloss:0.02134896512453755 [ Info: [28] train-mlogloss:0.02129008673131466 [ Info: [29] train-mlogloss:0.02123396379252275 [ Info: [30] train-mlogloss:0.02117798929413160 [ Info: [31] train-mlogloss:0.02112518710394700 [ Info: [32] train-mlogloss:0.02107293838014205 [ Info: [33] train-mlogloss:0.02102355622996887 [ Info: [34] train-mlogloss:0.02097661083564162 [ Info: [35] train-mlogloss:0.02093082602446278 [ Info: [36] train-mlogloss:0.02088785507405798 [ Info: [37] train-mlogloss:0.02084559279804428 [ Info: [38] train-mlogloss:0.02080587488288681 [ Info: [39] train-mlogloss:0.02076480761791269 [ Info: [40] train-mlogloss:0.02072763456652562 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97172303120295211 [ Info: [2] train-mlogloss:0.86457204659779863 [ Info: [3] train-mlogloss:0.77293322801589970 [ Info: [4] train-mlogloss:0.69380067189534500 [ Info: [5] train-mlogloss:0.62497102896372481 [ Info: [6] train-mlogloss:0.56473412036895754 [ Info: [7] train-mlogloss:0.51175034205118819 [ Info: [8] train-mlogloss:0.46304136037826538 [ Info: [9] train-mlogloss:0.41985160748163858 [ Info: [10] train-mlogloss:0.38218975782394410 [ Info: [11] train-mlogloss:0.34795212467511494 [ Info: [12] train-mlogloss:0.31734514554341636 [ Info: [13] train-mlogloss:0.28992289463678994 [ Info: [14] train-mlogloss:0.26530531148115793 [ Info: [15] train-mlogloss:0.24210822542508442 [ Info: [16] train-mlogloss:0.22221501926581064 [ Info: [17] train-mlogloss:0.20335691968599956 [ Info: [18] train-mlogloss:0.18636683662732442 [ Info: [19] train-mlogloss:0.17178229014078775 [ Info: [20] train-mlogloss:0.15786621212959290 [ Info: [21] train-mlogloss:0.14616500953833261 [ Info: [22] train-mlogloss:0.13503181984027227 [ Info: [23] train-mlogloss:0.12496497362852096 [ Info: [24] train-mlogloss:0.11617929846048355 [ Info: [25] train-mlogloss:0.10782609045505524 [ Info: [26] train-mlogloss:0.10054756929477056 [ Info: [27] train-mlogloss:0.09358794778585434 [ Info: [28] train-mlogloss:0.08726847430070241 [ Info: [29] train-mlogloss:0.08171422536174457 [ Info: [30] train-mlogloss:0.07663392782211303 [ Info: [31] train-mlogloss:0.07196963424483935 [ Info: [32] train-mlogloss:0.06769600967566172 [ Info: [33] train-mlogloss:0.06376260677973429 [ Info: [34] train-mlogloss:0.06015166426698366 [ Info: [35] train-mlogloss:0.05682020738720894 [ Info: [36] train-mlogloss:0.05392712051669757 [ Info: [37] train-mlogloss:0.05110598295927048 [ Info: [38] train-mlogloss:0.04869871561725934 [ Info: [39] train-mlogloss:0.04627423840264479 [ Info: [40] train-mlogloss:0.04431426107883454 [ Info: [41] train-mlogloss:0.04252919778227806 [ Info: [42] train-mlogloss:0.04088568615416686 [ Info: [43] train-mlogloss:0.03939574187000593 [ Info: [44] train-mlogloss:0.03800535122553508 [ Info: [45] train-mlogloss:0.03669442648688952 [ Info: [46] train-mlogloss:0.03549769878387452 [ Info: [47] train-mlogloss:0.03438521179060141 [ Info: [48] train-mlogloss:0.03335754215717315 [ Info: [49] train-mlogloss:0.03241576746106148 [ Info: [50] train-mlogloss:0.03152934871613979 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85437153577804570 [ Info: [2] train-mlogloss:0.68088812907536822 [ Info: [3] train-mlogloss:0.55178049643834437 [ Info: [4] train-mlogloss:0.45298246224721272 [ Info: [5] train-mlogloss:0.37391668637593589 [ Info: [6] train-mlogloss:0.31014401356379190 [ Info: [7] train-mlogloss:0.25914374589920042 [ Info: [8] train-mlogloss:0.21590523183345794 [ Info: [9] train-mlogloss:0.18097873230775197 [ Info: [10] train-mlogloss:0.15399395505587260 [ Info: [11] train-mlogloss:0.13057580729325613 [ Info: [12] train-mlogloss:0.11276271839936575 [ Info: [13] train-mlogloss:0.09726686825354894 [ Info: [14] train-mlogloss:0.08452635109424592 [ Info: [15] train-mlogloss:0.07422490909695625 [ Info: [16] train-mlogloss:0.06564203063646952 [ Info: [17] train-mlogloss:0.05833026260137558 [ Info: [18] train-mlogloss:0.05270830631256104 [ Info: [19] train-mlogloss:0.04737749119599660 [ Info: [20] train-mlogloss:0.04288959922889869 [ Info: [21] train-mlogloss:0.03977145192523798 [ Info: [22] train-mlogloss:0.03703679218888282 [ Info: [23] train-mlogloss:0.03457444451749325 [ Info: [24] train-mlogloss:0.03251071331401666 [ Info: [25] train-mlogloss:0.03074411429464817 [ Info: [26] train-mlogloss:0.02919696668783824 [ Info: [27] train-mlogloss:0.02855599187314510 [ Info: [28] train-mlogloss:0.02796278777221839 [ Info: [29] train-mlogloss:0.02749684865276019 [ Info: [30] train-mlogloss:0.02706192749241988 [ Info: [31] train-mlogloss:0.02664242400477330 [ Info: [32] train-mlogloss:0.02625452624013027 [ Info: [33] train-mlogloss:0.02587672987331947 [ Info: [34] train-mlogloss:0.02552144049356381 [ Info: [35] train-mlogloss:0.02518530499190092 [ Info: [36] train-mlogloss:0.02487788156916698 [ Info: [37] train-mlogloss:0.02459301967173815 [ Info: [38] train-mlogloss:0.02433029739807049 [ Info: [39] train-mlogloss:0.02408701032400131 [ Info: [40] train-mlogloss:0.02386006342868010 [ Info: [41] train-mlogloss:0.02364698321868976 [ Info: [42] train-mlogloss:0.02344656587888797 [ Info: [43] train-mlogloss:0.02325774370382230 [ Info: [44] train-mlogloss:0.02312696713954210 [ Info: [45] train-mlogloss:0.02302073612809181 [ Info: [46] train-mlogloss:0.02292104432980219 [ Info: [47] train-mlogloss:0.02282819689561923 [ Info: [48] train-mlogloss:0.02274245479454597 [ Info: [49] train-mlogloss:0.02266067206859589 [ Info: [50] train-mlogloss:0.02258635889117916 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74692022323608398 [ Info: [2] train-mlogloss:0.53746284325917559 [ Info: [3] train-mlogloss:0.39451924482981365 [ Info: [4] train-mlogloss:0.29607976953188581 [ Info: [5] train-mlogloss:0.22612788875897724 [ Info: [6] train-mlogloss:0.17284638345241546 [ Info: [7] train-mlogloss:0.13663062651952107 [ Info: [8] train-mlogloss:0.10795344561338424 [ Info: [9] train-mlogloss:0.08673286457856497 [ Info: [10] train-mlogloss:0.07126346200704575 [ Info: [11] train-mlogloss:0.05931521942218144 [ Info: [12] train-mlogloss:0.05007228960593541 [ Info: [13] train-mlogloss:0.04342592063049475 [ Info: [14] train-mlogloss:0.03864688138167063 [ Info: [15] train-mlogloss:0.03472210834423701 [ Info: [16] train-mlogloss:0.03149293586611748 [ Info: [17] train-mlogloss:0.02900125761826833 [ Info: [18] train-mlogloss:0.02803586111714442 [ Info: [19] train-mlogloss:0.02736241931716601 [ Info: [20] train-mlogloss:0.02666818012793859 [ Info: [21] train-mlogloss:0.02608144842088223 [ Info: [22] train-mlogloss:0.02552165096004804 [ Info: [23] train-mlogloss:0.02500423322121302 [ Info: [24] train-mlogloss:0.02456338585664829 [ Info: [25] train-mlogloss:0.02418037014702956 [ Info: [26] train-mlogloss:0.02383397971590360 [ Info: [27] train-mlogloss:0.02351902627696593 [ Info: [28] train-mlogloss:0.02323158096522093 [ Info: [29] train-mlogloss:0.02306973478446404 [ Info: [30] train-mlogloss:0.02293099249402682 [ Info: [31] train-mlogloss:0.02280040608098110 [ Info: [32] train-mlogloss:0.02268559839576483 [ Info: [33] train-mlogloss:0.02258043766021729 [ Info: [34] train-mlogloss:0.02248369411254923 [ Info: [35] train-mlogloss:0.02239733985314767 [ Info: [36] train-mlogloss:0.02231442930797736 [ Info: [37] train-mlogloss:0.02224209583674868 [ Info: [38] train-mlogloss:0.02216987716654937 [ Info: [39] train-mlogloss:0.02210602446148793 [ Info: [40] train-mlogloss:0.02204347629100084 [ Info: [41] train-mlogloss:0.02197967855259776 [ Info: [42] train-mlogloss:0.02191813668236136 [ Info: [43] train-mlogloss:0.02186031529059013 [ Info: [44] train-mlogloss:0.02180369668329755 [ Info: [45] train-mlogloss:0.02174606919288635 [ Info: [46] train-mlogloss:0.02169017609208822 [ Info: [47] train-mlogloss:0.02163915506253640 [ Info: [48] train-mlogloss:0.02158549540365736 [ Info: [49] train-mlogloss:0.02153271293888489 [ Info: [50] train-mlogloss:0.02148230200633407 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64953631639480591 [ Info: [2] train-mlogloss:0.42578434944152832 [ Info: [3] train-mlogloss:0.29098498463630679 [ Info: [4] train-mlogloss:0.20393840273221334 [ Info: [5] train-mlogloss:0.14378322859605153 [ Info: [6] train-mlogloss:0.10695433020591735 [ Info: [7] train-mlogloss:0.08005390102664629 [ Info: [8] train-mlogloss:0.06183182229598363 [ Info: [9] train-mlogloss:0.04921108255783717 [ Info: [10] train-mlogloss:0.04081443590422471 [ Info: [11] train-mlogloss:0.03519467403491338 [ Info: [12] train-mlogloss:0.03090482498208682 [ Info: [13] train-mlogloss:0.02790073304126660 [ Info: [14] train-mlogloss:0.02689579426000516 [ Info: [15] train-mlogloss:0.02602255744238694 [ Info: [16] train-mlogloss:0.02521610459933678 [ Info: [17] train-mlogloss:0.02452496246745189 [ Info: [18] train-mlogloss:0.02386848996082942 [ Info: [19] train-mlogloss:0.02334011374662320 [ Info: [20] train-mlogloss:0.02289741234232982 [ Info: [21] train-mlogloss:0.02251815795898438 [ Info: [22] train-mlogloss:0.02228783801198006 [ Info: [23] train-mlogloss:0.02210114457954963 [ Info: [24] train-mlogloss:0.02194126397371292 [ Info: [25] train-mlogloss:0.02179583568125963 [ Info: [26] train-mlogloss:0.02167519132917126 [ Info: [27] train-mlogloss:0.02155828906844059 [ Info: [28] train-mlogloss:0.02146391109873851 [ Info: [29] train-mlogloss:0.02136723207309842 [ Info: [30] train-mlogloss:0.02131121143698692 [ Info: [31] train-mlogloss:0.02124967841431499 [ Info: [32] train-mlogloss:0.02119599285225074 [ Info: [33] train-mlogloss:0.02114132634053628 [ Info: [34] train-mlogloss:0.02109018530696630 [ Info: [35] train-mlogloss:0.02104054224366943 [ Info: [36] train-mlogloss:0.02099195554852486 [ Info: [37] train-mlogloss:0.02094422591850162 [ Info: [38] train-mlogloss:0.02089711146429181 [ Info: [39] train-mlogloss:0.02085172977298498 [ Info: [40] train-mlogloss:0.02080819834023714 [ Info: [41] train-mlogloss:0.02076525284598271 [ Info: [42] train-mlogloss:0.02072470208629966 [ Info: [43] train-mlogloss:0.02068386786927779 [ Info: [44] train-mlogloss:0.02064409289509058 [ Info: [45] train-mlogloss:0.02060474573945006 [ Info: [46] train-mlogloss:0.02056688171500961 [ Info: [47] train-mlogloss:0.02053014279653629 [ Info: [48] train-mlogloss:0.02049424409866333 [ Info: [49] train-mlogloss:0.02045970146233837 [ Info: [50] train-mlogloss:0.02042548452814420 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56217798630396520 [ Info: [2] train-mlogloss:0.33891698082288108 [ Info: [3] train-mlogloss:0.20804313898086549 [ Info: [4] train-mlogloss:0.13687385221322376 [ Info: [5] train-mlogloss:0.09295179347197215 [ Info: [6] train-mlogloss:0.06678578197956085 [ Info: [7] train-mlogloss:0.05084115698933601 [ Info: [8] train-mlogloss:0.03937793992459774 [ Info: [9] train-mlogloss:0.03303273665408293 [ Info: [10] train-mlogloss:0.02886811077594757 [ Info: [11] train-mlogloss:0.02752905052155256 [ Info: [12] train-mlogloss:0.02645502938578526 [ Info: [13] train-mlogloss:0.02554917473345995 [ Info: [14] train-mlogloss:0.02468562513589859 [ Info: [15] train-mlogloss:0.02413292189439138 [ Info: [16] train-mlogloss:0.02366035404304663 [ Info: [17] train-mlogloss:0.02337460664411386 [ Info: [18] train-mlogloss:0.02315440319478512 [ Info: [19] train-mlogloss:0.02296594906598329 [ Info: [20] train-mlogloss:0.02280456780766447 [ Info: [21] train-mlogloss:0.02267344449957212 [ Info: [22] train-mlogloss:0.02254874401415388 [ Info: [23] train-mlogloss:0.02244105761249860 [ Info: [24] train-mlogloss:0.02234324568261703 [ Info: [25] train-mlogloss:0.02224281184375286 [ Info: [26] train-mlogloss:0.02214286828413606 [ Info: [27] train-mlogloss:0.02205371706436078 [ Info: [28] train-mlogloss:0.02197185256828865 [ Info: [29] train-mlogloss:0.02188640791301926 [ Info: [30] train-mlogloss:0.02180295116578539 [ Info: [31] train-mlogloss:0.02172909550368786 [ Info: [32] train-mlogloss:0.02165759058669210 [ Info: [33] train-mlogloss:0.02158285606031617 [ Info: [34] train-mlogloss:0.02151345533629258 [ Info: [35] train-mlogloss:0.02145179396495223 [ Info: [36] train-mlogloss:0.02138597303380569 [ Info: [37] train-mlogloss:0.02132129634420077 [ Info: [38] train-mlogloss:0.02126628256713351 [ Info: [39] train-mlogloss:0.02120742893467347 [ Info: [40] train-mlogloss:0.02114762365197142 [ Info: [41] train-mlogloss:0.02109755213061968 [ Info: [42] train-mlogloss:0.02104429684579372 [ Info: [43] train-mlogloss:0.02098944495121638 [ Info: [44] train-mlogloss:0.02094324791803956 [ Info: [45] train-mlogloss:0.02089471302926540 [ Info: [46] train-mlogloss:0.02084464520836870 [ Info: [47] train-mlogloss:0.02080171554659804 [ Info: [48] train-mlogloss:0.02075716573124130 [ Info: [49] train-mlogloss:0.02071157040695349 [ Info: [50] train-mlogloss:0.02067153814559182 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48459716002146402 [ Info: [2] train-mlogloss:0.27135264813899995 [ Info: [3] train-mlogloss:0.15458774477243423 [ Info: [4] train-mlogloss:0.09367984493573507 [ Info: [5] train-mlogloss:0.06332938462495803 [ Info: [6] train-mlogloss:0.04517673179507255 [ Info: [7] train-mlogloss:0.03533447958528996 [ Info: [8] train-mlogloss:0.02952266603708267 [ Info: [9] train-mlogloss:0.02765569925308228 [ Info: [10] train-mlogloss:0.02642587603380283 [ Info: [11] train-mlogloss:0.02520339238146941 [ Info: [12] train-mlogloss:0.02450736941148838 [ Info: [13] train-mlogloss:0.02392977296064297 [ Info: [14] train-mlogloss:0.02344256560007731 [ Info: [15] train-mlogloss:0.02302570416281621 [ Info: [16] train-mlogloss:0.02269290980572502 [ Info: [17] train-mlogloss:0.02244413125018279 [ Info: [18] train-mlogloss:0.02224151716257135 [ Info: [19] train-mlogloss:0.02206612798695763 [ Info: [20] train-mlogloss:0.02193455974260966 [ Info: [21] train-mlogloss:0.02184282148877780 [ Info: [22] train-mlogloss:0.02175243659565846 [ Info: [23] train-mlogloss:0.02168571908026934 [ Info: [24] train-mlogloss:0.02155332511911789 [ Info: [25] train-mlogloss:0.02147643532603979 [ Info: [26] train-mlogloss:0.02141398477678498 [ Info: [27] train-mlogloss:0.02134896512453755 [ Info: [28] train-mlogloss:0.02129008673131466 [ Info: [29] train-mlogloss:0.02123396379252275 [ Info: [30] train-mlogloss:0.02117798929413160 [ Info: [31] train-mlogloss:0.02112518710394700 [ Info: [32] train-mlogloss:0.02107293838014205 [ Info: [33] train-mlogloss:0.02102355622996887 [ Info: [34] train-mlogloss:0.02097661083564162 [ Info: [35] train-mlogloss:0.02093082602446278 [ Info: [36] train-mlogloss:0.02088785507405798 [ Info: [37] train-mlogloss:0.02084559279804428 [ Info: [38] train-mlogloss:0.02080587488288681 [ Info: [39] train-mlogloss:0.02076480761791269 [ Info: [40] train-mlogloss:0.02072763456652562 [ Info: [41] train-mlogloss:0.02068907420461377 [ Info: [42] train-mlogloss:0.02065388539806008 [ Info: [43] train-mlogloss:0.02061865395555893 [ Info: [44] train-mlogloss:0.02058567263185978 [ Info: [45] train-mlogloss:0.02055307566498717 [ Info: [46] train-mlogloss:0.02052227988218268 [ Info: [47] train-mlogloss:0.02049188519517581 [ Info: [48] train-mlogloss:0.02046191596736511 [ Info: [49] train-mlogloss:0.02043447564045588 [ Info: [50] train-mlogloss:0.02040477813531955 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97623160282770793 [ Info: [2] train-mlogloss:0.87262150605519617 [ Info: [3] train-mlogloss:0.78390110333760576 [ Info: [4] train-mlogloss:0.70616284052530920 [ Info: [5] train-mlogloss:0.63860012451807657 [ Info: [6] train-mlogloss:0.57952192942301428 [ Info: [7] train-mlogloss:0.52760343392690023 [ Info: [8] train-mlogloss:0.48178576747576396 [ Info: [9] train-mlogloss:0.44033724864323937 [ Info: [10] train-mlogloss:0.40342499057451886 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86296838124593100 [ Info: [2] train-mlogloss:0.69266975482304893 [ Info: [3] train-mlogloss:0.56617592175801590 [ Info: [4] train-mlogloss:0.46952487428983053 [ Info: [5] train-mlogloss:0.39249279260635378 [ Info: [6] train-mlogloss:0.33264507889747619 [ Info: [7] train-mlogloss:0.28470478475093841 [ Info: [8] train-mlogloss:0.24600523094336191 [ Info: [9] train-mlogloss:0.21317882160345714 [ Info: [10] train-mlogloss:0.18639859100182851 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75916297276814781 [ Info: [2] train-mlogloss:0.55299125035603847 [ Info: [3] train-mlogloss:0.41798956910769147 [ Info: [4] train-mlogloss:0.32247331897417703 [ Info: [5] train-mlogloss:0.25601347426573434 [ Info: [6] train-mlogloss:0.20769781748453775 [ Info: [7] train-mlogloss:0.17081704547007878 [ Info: [8] train-mlogloss:0.13749550829331081 [ Info: [9] train-mlogloss:0.11490780125061671 [ Info: [10] train-mlogloss:0.09811086634794872 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66497410138448076 [ Info: [2] train-mlogloss:0.44410501678784686 [ Info: [3] train-mlogloss:0.31165548563003542 [ Info: [4] train-mlogloss:0.23006634851296742 [ Info: [5] train-mlogloss:0.17428099224964777 [ Info: [6] train-mlogloss:0.13655261605978011 [ Info: [7] train-mlogloss:0.10412412653366725 [ Info: [8] train-mlogloss:0.08437412530183792 [ Info: [9] train-mlogloss:0.06955005918939908 [ Info: [10] train-mlogloss:0.05897789309422175 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58036581834157308 [ Info: [2] train-mlogloss:0.35932320117950439 [ Info: [3] train-mlogloss:0.24167052189509075 [ Info: [4] train-mlogloss:0.17504151403903961 [ Info: [5] train-mlogloss:0.12197886367638906 [ Info: [6] train-mlogloss:0.09127701749404271 [ Info: [7] train-mlogloss:0.07065254857142766 [ Info: [8] train-mlogloss:0.05874101820091406 [ Info: [9] train-mlogloss:0.04965872844060262 [ Info: [10] train-mlogloss:0.04403441352148851 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50510965824127196 [ Info: [2] train-mlogloss:0.29332287689050041 [ Info: [3] train-mlogloss:0.19243335266908010 [ Info: [4] train-mlogloss:0.12939943850040436 [ Info: [5] train-mlogloss:0.09141587818662325 [ Info: [6] train-mlogloss:0.06991649329662324 [ Info: [7] train-mlogloss:0.05696009583771229 [ Info: [8] train-mlogloss:0.04754445374011993 [ Info: [9] train-mlogloss:0.04046116626511018 [ Info: [10] train-mlogloss:0.03649225167930126 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97623160282770793 [ Info: [2] train-mlogloss:0.87262150605519617 [ Info: [3] train-mlogloss:0.78390110333760576 [ Info: [4] train-mlogloss:0.70616284052530920 [ Info: [5] train-mlogloss:0.63860012451807657 [ Info: [6] train-mlogloss:0.57952192942301428 [ Info: [7] train-mlogloss:0.52760343392690023 [ Info: [8] train-mlogloss:0.48178576747576396 [ Info: [9] train-mlogloss:0.44033724864323937 [ Info: [10] train-mlogloss:0.40342499057451886 [ Info: [11] train-mlogloss:0.37046226978301999 [ Info: [12] train-mlogloss:0.34158675789833071 [ Info: [13] train-mlogloss:0.31569435358047487 [ Info: [14] train-mlogloss:0.29243083953857424 [ Info: [15] train-mlogloss:0.27149140695730845 [ Info: [16] train-mlogloss:0.25262673318386075 [ Info: [17] train-mlogloss:0.23559336821238200 [ Info: [18] train-mlogloss:0.21952199379603068 [ Info: [19] train-mlogloss:0.20499200403690337 [ Info: [20] train-mlogloss:0.19089804112911224 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86296838124593100 [ Info: [2] train-mlogloss:0.69266975482304893 [ Info: [3] train-mlogloss:0.56617592175801590 [ Info: [4] train-mlogloss:0.46952487428983053 [ Info: [5] train-mlogloss:0.39249279260635378 [ Info: [6] train-mlogloss:0.33264507889747619 [ Info: [7] train-mlogloss:0.28470478475093841 [ Info: [8] train-mlogloss:0.24600523094336191 [ Info: [9] train-mlogloss:0.21317882160345714 [ Info: [10] train-mlogloss:0.18639859100182851 [ Info: [11] train-mlogloss:0.16425802230834960 [ Info: [12] train-mlogloss:0.14398654729127883 [ Info: [13] train-mlogloss:0.12662094742059707 [ Info: [14] train-mlogloss:0.11096696659922600 [ Info: [15] train-mlogloss:0.09791371136903763 [ Info: [16] train-mlogloss:0.08910155956943830 [ Info: [17] train-mlogloss:0.08090041468540828 [ Info: [18] train-mlogloss:0.07378207316001256 [ Info: [19] train-mlogloss:0.06755989079674085 [ Info: [20] train-mlogloss:0.06225747476021449 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75916297276814781 [ Info: [2] train-mlogloss:0.55299125035603847 [ Info: [3] train-mlogloss:0.41798956910769147 [ Info: [4] train-mlogloss:0.32247331897417703 [ Info: [5] train-mlogloss:0.25601347426573434 [ Info: [6] train-mlogloss:0.20769781748453775 [ Info: [7] train-mlogloss:0.17081704547007878 [ Info: [8] train-mlogloss:0.13749550829331081 [ Info: [9] train-mlogloss:0.11490780125061671 [ Info: [10] train-mlogloss:0.09811086634794872 [ Info: [11] train-mlogloss:0.08394849330186843 [ Info: [12] train-mlogloss:0.07303838029503823 [ Info: [13] train-mlogloss:0.06495372640589873 [ Info: [14] train-mlogloss:0.05799974285066128 [ Info: [15] train-mlogloss:0.05234501873453458 [ Info: [16] train-mlogloss:0.04812230866402387 [ Info: [17] train-mlogloss:0.04468743678182364 [ Info: [18] train-mlogloss:0.04266484835495551 [ Info: [19] train-mlogloss:0.04049844648689031 [ Info: [20] train-mlogloss:0.03950707328816255 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66497410138448076 [ Info: [2] train-mlogloss:0.44410501678784686 [ Info: [3] train-mlogloss:0.31165548563003542 [ Info: [4] train-mlogloss:0.23006634851296742 [ Info: [5] train-mlogloss:0.17428099224964777 [ Info: [6] train-mlogloss:0.13655261605978011 [ Info: [7] train-mlogloss:0.10412412653366725 [ Info: [8] train-mlogloss:0.08437412530183792 [ Info: [9] train-mlogloss:0.06955005918939908 [ Info: [10] train-mlogloss:0.05897789309422175 [ Info: [11] train-mlogloss:0.05129120218257109 [ Info: [12] train-mlogloss:0.04516065595050653 [ Info: [13] train-mlogloss:0.04059359153111776 [ Info: [14] train-mlogloss:0.03822164970139662 [ Info: [15] train-mlogloss:0.03573409381012122 [ Info: [16] train-mlogloss:0.03465994575371345 [ Info: [17] train-mlogloss:0.03324514508247375 [ Info: [18] train-mlogloss:0.03204285059124232 [ Info: [19] train-mlogloss:0.03112383405367533 [ Info: [20] train-mlogloss:0.03039191150416930 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58036581834157308 [ Info: [2] train-mlogloss:0.35932320117950439 [ Info: [3] train-mlogloss:0.24167052189509075 [ Info: [4] train-mlogloss:0.17504151403903961 [ Info: [5] train-mlogloss:0.12197886367638906 [ Info: [6] train-mlogloss:0.09127701749404271 [ Info: [7] train-mlogloss:0.07065254857142766 [ Info: [8] train-mlogloss:0.05874101820091406 [ Info: [9] train-mlogloss:0.04965872844060262 [ Info: [10] train-mlogloss:0.04403441352148851 [ Info: [11] train-mlogloss:0.04023941210160653 [ Info: [12] train-mlogloss:0.03779068195571502 [ Info: [13] train-mlogloss:0.03564763524259130 [ Info: [14] train-mlogloss:0.03345841893305381 [ Info: [15] train-mlogloss:0.03212921184177200 [ Info: [16] train-mlogloss:0.03111382241050402 [ Info: [17] train-mlogloss:0.03012818548828363 [ Info: [18] train-mlogloss:0.02929479989533623 [ Info: [19] train-mlogloss:0.02855958747987946 [ Info: [20] train-mlogloss:0.02783329052850604 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50510965824127196 [ Info: [2] train-mlogloss:0.29332287689050041 [ Info: [3] train-mlogloss:0.19243335266908010 [ Info: [4] train-mlogloss:0.12939943850040436 [ Info: [5] train-mlogloss:0.09141587818662325 [ Info: [6] train-mlogloss:0.06991649329662324 [ Info: [7] train-mlogloss:0.05696009583771229 [ Info: [8] train-mlogloss:0.04754445374011993 [ Info: [9] train-mlogloss:0.04046116626511018 [ Info: [10] train-mlogloss:0.03649225167930126 [ Info: [11] train-mlogloss:0.03441473265488942 [ Info: [12] train-mlogloss:0.03330965369939804 [ Info: [13] train-mlogloss:0.03163843148698409 [ Info: [14] train-mlogloss:0.03030276882151763 [ Info: [15] train-mlogloss:0.02933161568517486 [ Info: [16] train-mlogloss:0.02848484484478831 [ Info: [17] train-mlogloss:0.02771558664739132 [ Info: [18] train-mlogloss:0.02702825215955575 [ Info: [19] train-mlogloss:0.02636596218372385 [ Info: [20] train-mlogloss:0.02583202212428053 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97623160282770793 [ Info: [2] train-mlogloss:0.87262150605519617 [ Info: [3] train-mlogloss:0.78390110333760576 [ Info: [4] train-mlogloss:0.70616284052530920 [ Info: [5] train-mlogloss:0.63860012451807657 [ Info: [6] train-mlogloss:0.57952192942301428 [ Info: [7] train-mlogloss:0.52760343392690023 [ Info: [8] train-mlogloss:0.48178576747576396 [ Info: [9] train-mlogloss:0.44033724864323937 [ Info: [10] train-mlogloss:0.40342499057451886 [ Info: [11] train-mlogloss:0.37046226978301999 [ Info: [12] train-mlogloss:0.34158675789833071 [ Info: [13] train-mlogloss:0.31569435358047487 [ Info: [14] train-mlogloss:0.29243083953857424 [ Info: [15] train-mlogloss:0.27149140695730845 [ Info: [16] train-mlogloss:0.25262673318386075 [ Info: [17] train-mlogloss:0.23559336821238200 [ Info: [18] train-mlogloss:0.21952199379603068 [ Info: [19] train-mlogloss:0.20499200403690337 [ Info: [20] train-mlogloss:0.19089804112911224 [ Info: [21] train-mlogloss:0.17811673492193222 [ Info: [22] train-mlogloss:0.16726530681053797 [ Info: [23] train-mlogloss:0.15653275469938913 [ Info: [24] train-mlogloss:0.14781755199035010 [ Info: [25] train-mlogloss:0.13880926211675007 [ Info: [26] train-mlogloss:0.12951975802580515 [ Info: [27] train-mlogloss:0.12253573844830196 [ Info: [28] train-mlogloss:0.11477948645750681 [ Info: [29] train-mlogloss:0.10769349068403244 [ Info: [30] train-mlogloss:0.10256218398610750 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86296838124593100 [ Info: [2] train-mlogloss:0.69266975482304893 [ Info: [3] train-mlogloss:0.56617592175801590 [ Info: [4] train-mlogloss:0.46952487428983053 [ Info: [5] train-mlogloss:0.39249279260635378 [ Info: [6] train-mlogloss:0.33264507889747619 [ Info: [7] train-mlogloss:0.28470478475093841 [ Info: [8] train-mlogloss:0.24600523094336191 [ Info: [9] train-mlogloss:0.21317882160345714 [ Info: [10] train-mlogloss:0.18639859100182851 [ Info: [11] train-mlogloss:0.16425802230834960 [ Info: [12] train-mlogloss:0.14398654729127883 [ Info: [13] train-mlogloss:0.12662094742059707 [ Info: [14] train-mlogloss:0.11096696659922600 [ Info: [15] train-mlogloss:0.09791371136903763 [ Info: [16] train-mlogloss:0.08910155956943830 [ Info: [17] train-mlogloss:0.08090041468540828 [ Info: [18] train-mlogloss:0.07378207316001256 [ Info: [19] train-mlogloss:0.06755989079674085 [ Info: [20] train-mlogloss:0.06225747476021449 [ Info: [21] train-mlogloss:0.05808049226800600 [ Info: [22] train-mlogloss:0.05430640637874604 [ Info: [23] train-mlogloss:0.05110646223028501 [ Info: [24] train-mlogloss:0.04811412874609232 [ Info: [25] train-mlogloss:0.04566054561485847 [ Info: [26] train-mlogloss:0.04352407024552424 [ Info: [27] train-mlogloss:0.04215307105332613 [ Info: [28] train-mlogloss:0.04115923887739579 [ Info: [29] train-mlogloss:0.04026176761835813 [ Info: [30] train-mlogloss:0.03916194251428048 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75916297276814781 [ Info: [2] train-mlogloss:0.55299125035603847 [ Info: [3] train-mlogloss:0.41798956910769147 [ Info: [4] train-mlogloss:0.32247331897417703 [ Info: [5] train-mlogloss:0.25601347426573434 [ Info: [6] train-mlogloss:0.20769781748453775 [ Info: [7] train-mlogloss:0.17081704547007878 [ Info: [8] train-mlogloss:0.13749550829331081 [ Info: [9] train-mlogloss:0.11490780125061671 [ Info: [10] train-mlogloss:0.09811086634794872 [ Info: [11] train-mlogloss:0.08394849330186843 [ Info: [12] train-mlogloss:0.07303838029503823 [ Info: [13] train-mlogloss:0.06495372640589873 [ Info: [14] train-mlogloss:0.05799974285066128 [ Info: [15] train-mlogloss:0.05234501873453458 [ Info: [16] train-mlogloss:0.04812230866402387 [ Info: [17] train-mlogloss:0.04468743678182364 [ Info: [18] train-mlogloss:0.04266484835495551 [ Info: [19] train-mlogloss:0.04049844648689031 [ Info: [20] train-mlogloss:0.03950707328816255 [ Info: [21] train-mlogloss:0.03779527055720489 [ Info: [22] train-mlogloss:0.03612133339668314 [ Info: [23] train-mlogloss:0.03534619531904658 [ Info: [24] train-mlogloss:0.03467944643149774 [ Info: [25] train-mlogloss:0.03383185093601545 [ Info: [26] train-mlogloss:0.03306849081069231 [ Info: [27] train-mlogloss:0.03235934784015020 [ Info: [28] train-mlogloss:0.03180552779386441 [ Info: [29] train-mlogloss:0.03126295717433095 [ Info: [30] train-mlogloss:0.03075294154385726 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66497410138448076 [ Info: [2] train-mlogloss:0.44410501678784686 [ Info: [3] train-mlogloss:0.31165548563003542 [ Info: [4] train-mlogloss:0.23006634851296742 [ Info: [5] train-mlogloss:0.17428099224964777 [ Info: [6] train-mlogloss:0.13655261605978011 [ Info: [7] train-mlogloss:0.10412412653366725 [ Info: [8] train-mlogloss:0.08437412530183792 [ Info: [9] train-mlogloss:0.06955005918939908 [ Info: [10] train-mlogloss:0.05897789309422175 [ Info: [11] train-mlogloss:0.05129120218257109 [ Info: [12] train-mlogloss:0.04516065595050653 [ Info: [13] train-mlogloss:0.04059359153111776 [ Info: [14] train-mlogloss:0.03822164970139662 [ Info: [15] train-mlogloss:0.03573409381012122 [ Info: [16] train-mlogloss:0.03465994575371345 [ Info: [17] train-mlogloss:0.03324514508247375 [ Info: [18] train-mlogloss:0.03204285059124232 [ Info: [19] train-mlogloss:0.03112383405367533 [ Info: [20] train-mlogloss:0.03039191150416930 [ Info: [21] train-mlogloss:0.02964208846911788 [ Info: [22] train-mlogloss:0.02894977493832509 [ Info: [23] train-mlogloss:0.02834765960151951 [ Info: [24] train-mlogloss:0.02759222840890288 [ Info: [25] train-mlogloss:0.02704667073984941 [ Info: [26] train-mlogloss:0.02658619873846571 [ Info: [27] train-mlogloss:0.02616588015730182 [ Info: [28] train-mlogloss:0.02577594341710210 [ Info: [29] train-mlogloss:0.02540661741048097 [ Info: [30] train-mlogloss:0.02506011787181099 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58036581834157308 [ Info: [2] train-mlogloss:0.35932320117950439 [ Info: [3] train-mlogloss:0.24167052189509075 [ Info: [4] train-mlogloss:0.17504151403903961 [ Info: [5] train-mlogloss:0.12197886367638906 [ Info: [6] train-mlogloss:0.09127701749404271 [ Info: [7] train-mlogloss:0.07065254857142766 [ Info: [8] train-mlogloss:0.05874101820091406 [ Info: [9] train-mlogloss:0.04965872844060262 [ Info: [10] train-mlogloss:0.04403441352148851 [ Info: [11] train-mlogloss:0.04023941210160653 [ Info: [12] train-mlogloss:0.03779068195571502 [ Info: [13] train-mlogloss:0.03564763524259130 [ Info: [14] train-mlogloss:0.03345841893305381 [ Info: [15] train-mlogloss:0.03212921184177200 [ Info: [16] train-mlogloss:0.03111382241050402 [ Info: [17] train-mlogloss:0.03012818548828363 [ Info: [18] train-mlogloss:0.02929479989533623 [ Info: [19] train-mlogloss:0.02855958747987946 [ Info: [20] train-mlogloss:0.02783329052850604 [ Info: [21] train-mlogloss:0.02722973290830850 [ Info: [22] train-mlogloss:0.02668609191353122 [ Info: [23] train-mlogloss:0.02616768999646107 [ Info: [24] train-mlogloss:0.02570362159361442 [ Info: [25] train-mlogloss:0.02523816410452127 [ Info: [26] train-mlogloss:0.02482689560701450 [ Info: [27] train-mlogloss:0.02442648245642583 [ Info: [28] train-mlogloss:0.02404532246291637 [ Info: [29] train-mlogloss:0.02371507230835656 [ Info: [30] train-mlogloss:0.02339509746059775 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50510965824127196 [ Info: [2] train-mlogloss:0.29332287689050041 [ Info: [3] train-mlogloss:0.19243335266908010 [ Info: [4] train-mlogloss:0.12939943850040436 [ Info: [5] train-mlogloss:0.09141587818662325 [ Info: [6] train-mlogloss:0.06991649329662324 [ Info: [7] train-mlogloss:0.05696009583771229 [ Info: [8] train-mlogloss:0.04754445374011993 [ Info: [9] train-mlogloss:0.04046116626511018 [ Info: [10] train-mlogloss:0.03649225167930126 [ Info: [11] train-mlogloss:0.03441473265488942 [ Info: [12] train-mlogloss:0.03330965369939804 [ Info: [13] train-mlogloss:0.03163843148698409 [ Info: [14] train-mlogloss:0.03030276882151763 [ Info: [15] train-mlogloss:0.02933161568517486 [ Info: [16] train-mlogloss:0.02848484484478831 [ Info: [17] train-mlogloss:0.02771558664739132 [ Info: [18] train-mlogloss:0.02702825215955575 [ Info: [19] train-mlogloss:0.02636596218372385 [ Info: [20] train-mlogloss:0.02583202212428053 [ Info: [21] train-mlogloss:0.02517045314734181 [ Info: [22] train-mlogloss:0.02468212140724063 [ Info: [23] train-mlogloss:0.02414322571828961 [ Info: [24] train-mlogloss:0.02366296111295621 [ Info: [25] train-mlogloss:0.02322378057365616 [ Info: [26] train-mlogloss:0.02285199040857454 [ Info: [27] train-mlogloss:0.02251728224878510 [ Info: [28] train-mlogloss:0.02218807773354153 [ Info: [29] train-mlogloss:0.02191199799378713 [ Info: [30] train-mlogloss:0.02163433740536372 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97623160282770793 [ Info: [2] train-mlogloss:0.87262150605519617 [ Info: [3] train-mlogloss:0.78390110333760576 [ Info: [4] train-mlogloss:0.70616284052530920 [ Info: [5] train-mlogloss:0.63860012451807657 [ Info: [6] train-mlogloss:0.57952192942301428 [ Info: [7] train-mlogloss:0.52760343392690023 [ Info: [8] train-mlogloss:0.48178576747576396 [ Info: [9] train-mlogloss:0.44033724864323937 [ Info: [10] train-mlogloss:0.40342499057451886 [ Info: [11] train-mlogloss:0.37046226978301999 [ Info: [12] train-mlogloss:0.34158675789833071 [ Info: [13] train-mlogloss:0.31569435358047487 [ Info: [14] train-mlogloss:0.29243083953857424 [ Info: [15] train-mlogloss:0.27149140695730845 [ Info: [16] train-mlogloss:0.25262673318386075 [ Info: [17] train-mlogloss:0.23559336821238200 [ Info: [18] train-mlogloss:0.21952199379603068 [ Info: [19] train-mlogloss:0.20499200403690337 [ Info: [20] train-mlogloss:0.19089804112911224 [ Info: [21] train-mlogloss:0.17811673492193222 [ Info: [22] train-mlogloss:0.16726530681053797 [ Info: [23] train-mlogloss:0.15653275469938913 [ Info: [24] train-mlogloss:0.14781755199035010 [ Info: [25] train-mlogloss:0.13880926211675007 [ Info: [26] train-mlogloss:0.12951975802580515 [ Info: [27] train-mlogloss:0.12253573844830196 [ Info: [28] train-mlogloss:0.11477948645750681 [ Info: [29] train-mlogloss:0.10769349068403244 [ Info: [30] train-mlogloss:0.10256218398610750 [ Info: [31] train-mlogloss:0.09648992136120796 [ Info: [32] train-mlogloss:0.09164471914370854 [ Info: [33] train-mlogloss:0.08704445019364357 [ Info: [34] train-mlogloss:0.08289200847347578 [ Info: [35] train-mlogloss:0.07901801422238350 [ Info: [36] train-mlogloss:0.07545165727535884 [ Info: [37] train-mlogloss:0.07220720400412878 [ Info: [38] train-mlogloss:0.06942909059425195 [ Info: [39] train-mlogloss:0.06664767111341159 [ Info: [40] train-mlogloss:0.06409500141938528 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86296838124593100 [ Info: [2] train-mlogloss:0.69266975482304893 [ Info: [3] train-mlogloss:0.56617592175801590 [ Info: [4] train-mlogloss:0.46952487428983053 [ Info: [5] train-mlogloss:0.39249279260635378 [ Info: [6] train-mlogloss:0.33264507889747619 [ Info: [7] train-mlogloss:0.28470478475093841 [ Info: [8] train-mlogloss:0.24600523094336191 [ Info: [9] train-mlogloss:0.21317882160345714 [ Info: [10] train-mlogloss:0.18639859100182851 [ Info: [11] train-mlogloss:0.16425802230834960 [ Info: [12] train-mlogloss:0.14398654729127883 [ Info: [13] train-mlogloss:0.12662094742059707 [ Info: [14] train-mlogloss:0.11096696659922600 [ Info: [15] train-mlogloss:0.09791371136903763 [ Info: [16] train-mlogloss:0.08910155956943830 [ Info: [17] train-mlogloss:0.08090041468540828 [ Info: [18] train-mlogloss:0.07378207316001256 [ Info: [19] train-mlogloss:0.06755989079674085 [ Info: [20] train-mlogloss:0.06225747476021449 [ Info: [21] train-mlogloss:0.05808049226800600 [ Info: [22] train-mlogloss:0.05430640637874604 [ Info: [23] train-mlogloss:0.05110646223028501 [ Info: [24] train-mlogloss:0.04811412874609232 [ Info: [25] train-mlogloss:0.04566054561485847 [ Info: [26] train-mlogloss:0.04352407024552424 [ Info: [27] train-mlogloss:0.04215307105332613 [ Info: [28] train-mlogloss:0.04115923887739579 [ Info: [29] train-mlogloss:0.04026176761835813 [ Info: [30] train-mlogloss:0.03916194251428048 [ Info: [31] train-mlogloss:0.03790659484763940 [ Info: [32] train-mlogloss:0.03733144967506329 [ Info: [33] train-mlogloss:0.03665689455966155 [ Info: [34] train-mlogloss:0.03615801560382048 [ Info: [35] train-mlogloss:0.03511586251358191 [ Info: [36] train-mlogloss:0.03464718487113714 [ Info: [37] train-mlogloss:0.03408666644866268 [ Info: [38] train-mlogloss:0.03355924796933929 [ Info: [39] train-mlogloss:0.03314299348741770 [ Info: [40] train-mlogloss:0.03267013436183333 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75916297276814781 [ Info: [2] train-mlogloss:0.55299125035603847 [ Info: [3] train-mlogloss:0.41798956910769147 [ Info: [4] train-mlogloss:0.32247331897417703 [ Info: [5] train-mlogloss:0.25601347426573434 [ Info: [6] train-mlogloss:0.20769781748453775 [ Info: [7] train-mlogloss:0.17081704547007878 [ Info: [8] train-mlogloss:0.13749550829331081 [ Info: [9] train-mlogloss:0.11490780125061671 [ Info: [10] train-mlogloss:0.09811086634794872 [ Info: [11] train-mlogloss:0.08394849330186843 [ Info: [12] train-mlogloss:0.07303838029503823 [ Info: [13] train-mlogloss:0.06495372640589873 [ Info: [14] train-mlogloss:0.05799974285066128 [ Info: [15] train-mlogloss:0.05234501873453458 [ Info: [16] train-mlogloss:0.04812230866402387 [ Info: [17] train-mlogloss:0.04468743678182364 [ Info: [18] train-mlogloss:0.04266484835495551 [ Info: [19] train-mlogloss:0.04049844648689031 [ Info: [20] train-mlogloss:0.03950707328816255 [ Info: [21] train-mlogloss:0.03779527055720489 [ Info: [22] train-mlogloss:0.03612133339668314 [ Info: [23] train-mlogloss:0.03534619531904658 [ Info: [24] train-mlogloss:0.03467944643149774 [ Info: [25] train-mlogloss:0.03383185093601545 [ Info: [26] train-mlogloss:0.03306849081069231 [ Info: [27] train-mlogloss:0.03235934784015020 [ Info: [28] train-mlogloss:0.03180552779386441 [ Info: [29] train-mlogloss:0.03126295717433095 [ Info: [30] train-mlogloss:0.03075294154385726 [ Info: [31] train-mlogloss:0.03027998808771372 [ Info: [32] train-mlogloss:0.02967884091660380 [ Info: [33] train-mlogloss:0.02920840273300807 [ Info: [34] train-mlogloss:0.02883075525984168 [ Info: [35] train-mlogloss:0.02846944689750671 [ Info: [36] train-mlogloss:0.02806334260230263 [ Info: [37] train-mlogloss:0.02772139811888337 [ Info: [38] train-mlogloss:0.02725259052589536 [ Info: [39] train-mlogloss:0.02693910604963700 [ Info: [40] train-mlogloss:0.02662144135062893 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66497410138448076 [ Info: [2] train-mlogloss:0.44410501678784686 [ Info: [3] train-mlogloss:0.31165548563003542 [ Info: [4] train-mlogloss:0.23006634851296742 [ Info: [5] train-mlogloss:0.17428099224964777 [ Info: [6] train-mlogloss:0.13655261605978011 [ Info: [7] train-mlogloss:0.10412412653366725 [ Info: [8] train-mlogloss:0.08437412530183792 [ Info: [9] train-mlogloss:0.06955005918939908 [ Info: [10] train-mlogloss:0.05897789309422175 [ Info: [11] train-mlogloss:0.05129120218257109 [ Info: [12] train-mlogloss:0.04516065595050653 [ Info: [13] train-mlogloss:0.04059359153111776 [ Info: [14] train-mlogloss:0.03822164970139662 [ Info: [15] train-mlogloss:0.03573409381012122 [ Info: [16] train-mlogloss:0.03465994575371345 [ Info: [17] train-mlogloss:0.03324514508247375 [ Info: [18] train-mlogloss:0.03204285059124232 [ Info: [19] train-mlogloss:0.03112383405367533 [ Info: [20] train-mlogloss:0.03039191150416930 [ Info: [21] train-mlogloss:0.02964208846911788 [ Info: [22] train-mlogloss:0.02894977493832509 [ Info: [23] train-mlogloss:0.02834765960151951 [ Info: [24] train-mlogloss:0.02759222840890288 [ Info: [25] train-mlogloss:0.02704667073984941 [ Info: [26] train-mlogloss:0.02658619873846571 [ Info: [27] train-mlogloss:0.02616588015730182 [ Info: [28] train-mlogloss:0.02577594341710210 [ Info: [29] train-mlogloss:0.02540661741048097 [ Info: [30] train-mlogloss:0.02506011787181099 [ Info: [31] train-mlogloss:0.02474390282606085 [ Info: [32] train-mlogloss:0.02445136617869139 [ Info: [33] train-mlogloss:0.02416739435866475 [ Info: [34] train-mlogloss:0.02389967996627092 [ Info: [35] train-mlogloss:0.02363234131596982 [ Info: [36] train-mlogloss:0.02338415956435104 [ Info: [37] train-mlogloss:0.02315651043007771 [ Info: [38] train-mlogloss:0.02294580543724199 [ Info: [39] train-mlogloss:0.02274221670192977 [ Info: [40] train-mlogloss:0.02255256159851948 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58036581834157308 [ Info: [2] train-mlogloss:0.35932320117950439 [ Info: [3] train-mlogloss:0.24167052189509075 [ Info: [4] train-mlogloss:0.17504151403903961 [ Info: [5] train-mlogloss:0.12197886367638906 [ Info: [6] train-mlogloss:0.09127701749404271 [ Info: [7] train-mlogloss:0.07065254857142766 [ Info: [8] train-mlogloss:0.05874101820091406 [ Info: [9] train-mlogloss:0.04965872844060262 [ Info: [10] train-mlogloss:0.04403441352148851 [ Info: [11] train-mlogloss:0.04023941210160653 [ Info: [12] train-mlogloss:0.03779068195571502 [ Info: [13] train-mlogloss:0.03564763524259130 [ Info: [14] train-mlogloss:0.03345841893305381 [ Info: [15] train-mlogloss:0.03212921184177200 [ Info: [16] train-mlogloss:0.03111382241050402 [ Info: [17] train-mlogloss:0.03012818548828363 [ Info: [18] train-mlogloss:0.02929479989533623 [ Info: [19] train-mlogloss:0.02855958747987946 [ Info: [20] train-mlogloss:0.02783329052850604 [ Info: [21] train-mlogloss:0.02722973290830850 [ Info: [22] train-mlogloss:0.02668609191353122 [ Info: [23] train-mlogloss:0.02616768999646107 [ Info: [24] train-mlogloss:0.02570362159361442 [ Info: [25] train-mlogloss:0.02523816410452127 [ Info: [26] train-mlogloss:0.02482689560701450 [ Info: [27] train-mlogloss:0.02442648245642583 [ Info: [28] train-mlogloss:0.02404532246291637 [ Info: [29] train-mlogloss:0.02371507230835656 [ Info: [30] train-mlogloss:0.02339509746059775 [ Info: [31] train-mlogloss:0.02308278462228676 [ Info: [32] train-mlogloss:0.02281722754860918 [ Info: [33] train-mlogloss:0.02257259101606906 [ Info: [34] train-mlogloss:0.02230413666305443 [ Info: [35] train-mlogloss:0.02208295688033104 [ Info: [36] train-mlogloss:0.02187540186569095 [ Info: [37] train-mlogloss:0.02167408597655594 [ Info: [38] train-mlogloss:0.02148825733922422 [ Info: [39] train-mlogloss:0.02132595413674911 [ Info: [40] train-mlogloss:0.02116227154619992 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50510965824127196 [ Info: [2] train-mlogloss:0.29332287689050041 [ Info: [3] train-mlogloss:0.19243335266908010 [ Info: [4] train-mlogloss:0.12939943850040436 [ Info: [5] train-mlogloss:0.09141587818662325 [ Info: [6] train-mlogloss:0.06991649329662324 [ Info: [7] train-mlogloss:0.05696009583771229 [ Info: [8] train-mlogloss:0.04754445374011993 [ Info: [9] train-mlogloss:0.04046116626511018 [ Info: [10] train-mlogloss:0.03649225167930126 [ Info: [11] train-mlogloss:0.03441473265488942 [ Info: [12] train-mlogloss:0.03330965369939804 [ Info: [13] train-mlogloss:0.03163843148698409 [ Info: [14] train-mlogloss:0.03030276882151763 [ Info: [15] train-mlogloss:0.02933161568517486 [ Info: [16] train-mlogloss:0.02848484484478831 [ Info: [17] train-mlogloss:0.02771558664739132 [ Info: [18] train-mlogloss:0.02702825215955575 [ Info: [19] train-mlogloss:0.02636596218372385 [ Info: [20] train-mlogloss:0.02583202212428053 [ Info: [21] train-mlogloss:0.02517045314734181 [ Info: [22] train-mlogloss:0.02468212140724063 [ Info: [23] train-mlogloss:0.02414322571828961 [ Info: [24] train-mlogloss:0.02366296111295621 [ Info: [25] train-mlogloss:0.02322378057365616 [ Info: [26] train-mlogloss:0.02285199040857454 [ Info: [27] train-mlogloss:0.02251728224878510 [ Info: [28] train-mlogloss:0.02218807773354153 [ Info: [29] train-mlogloss:0.02191199799378713 [ Info: [30] train-mlogloss:0.02163433740536372 [ Info: [31] train-mlogloss:0.02137814064820608 [ Info: [32] train-mlogloss:0.02117854579662283 [ Info: [33] train-mlogloss:0.02100149499562879 [ Info: [34] train-mlogloss:0.02086663131912549 [ Info: [35] train-mlogloss:0.02076660459550719 [ Info: [36] train-mlogloss:0.02067137327355643 [ Info: [37] train-mlogloss:0.02057873523483674 [ Info: [38] train-mlogloss:0.02049339316009233 [ Info: [39] train-mlogloss:0.02040819499486437 [ Info: [40] train-mlogloss:0.02033092662071188 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97623160282770793 [ Info: [2] train-mlogloss:0.87262150605519617 [ Info: [3] train-mlogloss:0.78390110333760576 [ Info: [4] train-mlogloss:0.70616284052530920 [ Info: [5] train-mlogloss:0.63860012451807657 [ Info: [6] train-mlogloss:0.57952192942301428 [ Info: [7] train-mlogloss:0.52760343392690023 [ Info: [8] train-mlogloss:0.48178576747576396 [ Info: [9] train-mlogloss:0.44033724864323937 [ Info: [10] train-mlogloss:0.40342499057451886 [ Info: [11] train-mlogloss:0.37046226978301999 [ Info: [12] train-mlogloss:0.34158675789833071 [ Info: [13] train-mlogloss:0.31569435358047487 [ Info: [14] train-mlogloss:0.29243083953857424 [ Info: [15] train-mlogloss:0.27149140695730845 [ Info: [16] train-mlogloss:0.25262673318386075 [ Info: [17] train-mlogloss:0.23559336821238200 [ Info: [18] train-mlogloss:0.21952199379603068 [ Info: [19] train-mlogloss:0.20499200403690337 [ Info: [20] train-mlogloss:0.19089804112911224 [ Info: [21] train-mlogloss:0.17811673492193222 [ Info: [22] train-mlogloss:0.16726530681053797 [ Info: [23] train-mlogloss:0.15653275469938913 [ Info: [24] train-mlogloss:0.14781755199035010 [ Info: [25] train-mlogloss:0.13880926211675007 [ Info: [26] train-mlogloss:0.12951975802580515 [ Info: [27] train-mlogloss:0.12253573844830196 [ Info: [28] train-mlogloss:0.11477948645750681 [ Info: [29] train-mlogloss:0.10769349068403244 [ Info: [30] train-mlogloss:0.10256218398610750 [ Info: [31] train-mlogloss:0.09648992136120796 [ Info: [32] train-mlogloss:0.09164471914370854 [ Info: [33] train-mlogloss:0.08704445019364357 [ Info: [34] train-mlogloss:0.08289200847347578 [ Info: [35] train-mlogloss:0.07901801422238350 [ Info: [36] train-mlogloss:0.07545165727535884 [ Info: [37] train-mlogloss:0.07220720400412878 [ Info: [38] train-mlogloss:0.06942909059425195 [ Info: [39] train-mlogloss:0.06664767111341159 [ Info: [40] train-mlogloss:0.06409500141938528 [ Info: [41] train-mlogloss:0.06167526448766390 [ Info: [42] train-mlogloss:0.05944612932701906 [ Info: [43] train-mlogloss:0.05749861973027388 [ Info: [44] train-mlogloss:0.05563710652291775 [ Info: [45] train-mlogloss:0.05380423637727896 [ Info: [46] train-mlogloss:0.05227044882873694 [ Info: [47] train-mlogloss:0.05056761123239994 [ Info: [48] train-mlogloss:0.04903353971739610 [ Info: [49] train-mlogloss:0.04756090843429168 [ Info: [50] train-mlogloss:0.04630008718619744 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86296838124593100 [ Info: [2] train-mlogloss:0.69266975482304893 [ Info: [3] train-mlogloss:0.56617592175801590 [ Info: [4] train-mlogloss:0.46952487428983053 [ Info: [5] train-mlogloss:0.39249279260635378 [ Info: [6] train-mlogloss:0.33264507889747619 [ Info: [7] train-mlogloss:0.28470478475093841 [ Info: [8] train-mlogloss:0.24600523094336191 [ Info: [9] train-mlogloss:0.21317882160345714 [ Info: [10] train-mlogloss:0.18639859100182851 [ Info: [11] train-mlogloss:0.16425802230834960 [ Info: [12] train-mlogloss:0.14398654729127883 [ Info: [13] train-mlogloss:0.12662094742059707 [ Info: [14] train-mlogloss:0.11096696659922600 [ Info: [15] train-mlogloss:0.09791371136903763 [ Info: [16] train-mlogloss:0.08910155956943830 [ Info: [17] train-mlogloss:0.08090041468540828 [ Info: [18] train-mlogloss:0.07378207316001256 [ Info: [19] train-mlogloss:0.06755989079674085 [ Info: [20] train-mlogloss:0.06225747476021449 [ Info: [21] train-mlogloss:0.05808049226800600 [ Info: [22] train-mlogloss:0.05430640637874604 [ Info: [23] train-mlogloss:0.05110646223028501 [ Info: [24] train-mlogloss:0.04811412874609232 [ Info: [25] train-mlogloss:0.04566054561485847 [ Info: [26] train-mlogloss:0.04352407024552424 [ Info: [27] train-mlogloss:0.04215307105332613 [ Info: [28] train-mlogloss:0.04115923887739579 [ Info: [29] train-mlogloss:0.04026176761835813 [ Info: [30] train-mlogloss:0.03916194251428048 [ Info: [31] train-mlogloss:0.03790659484763940 [ Info: [32] train-mlogloss:0.03733144967506329 [ Info: [33] train-mlogloss:0.03665689455966155 [ Info: [34] train-mlogloss:0.03615801560382048 [ Info: [35] train-mlogloss:0.03511586251358191 [ Info: [36] train-mlogloss:0.03464718487113714 [ Info: [37] train-mlogloss:0.03408666644866268 [ Info: [38] train-mlogloss:0.03355924796933929 [ Info: [39] train-mlogloss:0.03314299348741770 [ Info: [40] train-mlogloss:0.03267013436183333 [ Info: [41] train-mlogloss:0.03221401428182920 [ Info: [42] train-mlogloss:0.03181757375597954 [ Info: [43] train-mlogloss:0.03145132330556710 [ Info: [44] train-mlogloss:0.03110900795708100 [ Info: [45] train-mlogloss:0.03076814971864223 [ Info: [46] train-mlogloss:0.03045174827799201 [ Info: [47] train-mlogloss:0.03012898491695523 [ Info: [48] train-mlogloss:0.02982815377414226 [ Info: [49] train-mlogloss:0.02953268112614751 [ Info: [50] train-mlogloss:0.02925200380384922 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75916297276814781 [ Info: [2] train-mlogloss:0.55299125035603847 [ Info: [3] train-mlogloss:0.41798956910769147 [ Info: [4] train-mlogloss:0.32247331897417703 [ Info: [5] train-mlogloss:0.25601347426573434 [ Info: [6] train-mlogloss:0.20769781748453775 [ Info: [7] train-mlogloss:0.17081704547007878 [ Info: [8] train-mlogloss:0.13749550829331081 [ Info: [9] train-mlogloss:0.11490780125061671 [ Info: [10] train-mlogloss:0.09811086634794872 [ Info: [11] train-mlogloss:0.08394849330186843 [ Info: [12] train-mlogloss:0.07303838029503823 [ Info: [13] train-mlogloss:0.06495372640589873 [ Info: [14] train-mlogloss:0.05799974285066128 [ Info: [15] train-mlogloss:0.05234501873453458 [ Info: [16] train-mlogloss:0.04812230866402387 [ Info: [17] train-mlogloss:0.04468743678182364 [ Info: [18] train-mlogloss:0.04266484835495551 [ Info: [19] train-mlogloss:0.04049844648689031 [ Info: [20] train-mlogloss:0.03950707328816255 [ Info: [21] train-mlogloss:0.03779527055720489 [ Info: [22] train-mlogloss:0.03612133339668314 [ Info: [23] train-mlogloss:0.03534619531904658 [ Info: [24] train-mlogloss:0.03467944643149774 [ Info: [25] train-mlogloss:0.03383185093601545 [ Info: [26] train-mlogloss:0.03306849081069231 [ Info: [27] train-mlogloss:0.03235934784015020 [ Info: [28] train-mlogloss:0.03180552779386441 [ Info: [29] train-mlogloss:0.03126295717433095 [ Info: [30] train-mlogloss:0.03075294154385726 [ Info: [31] train-mlogloss:0.03027998808771372 [ Info: [32] train-mlogloss:0.02967884091660380 [ Info: [33] train-mlogloss:0.02920840273300807 [ Info: [34] train-mlogloss:0.02883075525984168 [ Info: [35] train-mlogloss:0.02846944689750671 [ Info: [36] train-mlogloss:0.02806334260230263 [ Info: [37] train-mlogloss:0.02772139811888337 [ Info: [38] train-mlogloss:0.02725259052589536 [ Info: [39] train-mlogloss:0.02693910604963700 [ Info: [40] train-mlogloss:0.02662144135062893 [ Info: [41] train-mlogloss:0.02632862708841761 [ Info: [42] train-mlogloss:0.02604811082283656 [ Info: [43] train-mlogloss:0.02578068037206928 [ Info: [44] train-mlogloss:0.02551302149270972 [ Info: [45] train-mlogloss:0.02527398080875476 [ Info: [46] train-mlogloss:0.02502286934604248 [ Info: [47] train-mlogloss:0.02478545963143309 [ Info: [48] train-mlogloss:0.02456454989189903 [ Info: [49] train-mlogloss:0.02435641928886374 [ Info: [50] train-mlogloss:0.02413488832923273 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66497410138448076 [ Info: [2] train-mlogloss:0.44410501678784686 [ Info: [3] train-mlogloss:0.31165548563003542 [ Info: [4] train-mlogloss:0.23006634851296742 [ Info: [5] train-mlogloss:0.17428099224964777 [ Info: [6] train-mlogloss:0.13655261605978011 [ Info: [7] train-mlogloss:0.10412412653366725 [ Info: [8] train-mlogloss:0.08437412530183792 [ Info: [9] train-mlogloss:0.06955005918939908 [ Info: [10] train-mlogloss:0.05897789309422175 [ Info: [11] train-mlogloss:0.05129120218257109 [ Info: [12] train-mlogloss:0.04516065595050653 [ Info: [13] train-mlogloss:0.04059359153111776 [ Info: [14] train-mlogloss:0.03822164970139662 [ Info: [15] train-mlogloss:0.03573409381012122 [ Info: [16] train-mlogloss:0.03465994575371345 [ Info: [17] train-mlogloss:0.03324514508247375 [ Info: [18] train-mlogloss:0.03204285059124232 [ Info: [19] train-mlogloss:0.03112383405367533 [ Info: [20] train-mlogloss:0.03039191150416930 [ Info: [21] train-mlogloss:0.02964208846911788 [ Info: [22] train-mlogloss:0.02894977493832509 [ Info: [23] train-mlogloss:0.02834765960151951 [ Info: [24] train-mlogloss:0.02759222840890288 [ Info: [25] train-mlogloss:0.02704667073984941 [ Info: [26] train-mlogloss:0.02658619873846571 [ Info: [27] train-mlogloss:0.02616588015730182 [ Info: [28] train-mlogloss:0.02577594341710210 [ Info: [29] train-mlogloss:0.02540661741048097 [ Info: [30] train-mlogloss:0.02506011787181099 [ Info: [31] train-mlogloss:0.02474390282606085 [ Info: [32] train-mlogloss:0.02445136617869139 [ Info: [33] train-mlogloss:0.02416739435866475 [ Info: [34] train-mlogloss:0.02389967996627092 [ Info: [35] train-mlogloss:0.02363234131596982 [ Info: [36] train-mlogloss:0.02338415956435104 [ Info: [37] train-mlogloss:0.02315651043007771 [ Info: [38] train-mlogloss:0.02294580543724199 [ Info: [39] train-mlogloss:0.02274221670192977 [ Info: [40] train-mlogloss:0.02255256159851948 [ Info: [41] train-mlogloss:0.02235928093393644 [ Info: [42] train-mlogloss:0.02218572280680140 [ Info: [43] train-mlogloss:0.02202630870354672 [ Info: [44] train-mlogloss:0.02185426135237018 [ Info: [45] train-mlogloss:0.02170490089803934 [ Info: [46] train-mlogloss:0.02156122010511657 [ Info: [47] train-mlogloss:0.02142168212061127 [ Info: [48] train-mlogloss:0.02129096273643275 [ Info: [49] train-mlogloss:0.02117258368680874 [ Info: [50] train-mlogloss:0.02105356988807519 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58036581834157308 [ Info: [2] train-mlogloss:0.35932320117950439 [ Info: [3] train-mlogloss:0.24167052189509075 [ Info: [4] train-mlogloss:0.17504151403903961 [ Info: [5] train-mlogloss:0.12197886367638906 [ Info: [6] train-mlogloss:0.09127701749404271 [ Info: [7] train-mlogloss:0.07065254857142766 [ Info: [8] train-mlogloss:0.05874101820091406 [ Info: [9] train-mlogloss:0.04965872844060262 [ Info: [10] train-mlogloss:0.04403441352148851 [ Info: [11] train-mlogloss:0.04023941210160653 [ Info: [12] train-mlogloss:0.03779068195571502 [ Info: [13] train-mlogloss:0.03564763524259130 [ Info: [14] train-mlogloss:0.03345841893305381 [ Info: [15] train-mlogloss:0.03212921184177200 [ Info: [16] train-mlogloss:0.03111382241050402 [ Info: [17] train-mlogloss:0.03012818548828363 [ Info: [18] train-mlogloss:0.02929479989533623 [ Info: [19] train-mlogloss:0.02855958747987946 [ Info: [20] train-mlogloss:0.02783329052850604 [ Info: [21] train-mlogloss:0.02722973290830850 [ Info: [22] train-mlogloss:0.02668609191353122 [ Info: [23] train-mlogloss:0.02616768999646107 [ Info: [24] train-mlogloss:0.02570362159361442 [ Info: [25] train-mlogloss:0.02523816410452127 [ Info: [26] train-mlogloss:0.02482689560701450 [ Info: [27] train-mlogloss:0.02442648245642583 [ Info: [28] train-mlogloss:0.02404532246291637 [ Info: [29] train-mlogloss:0.02371507230835656 [ Info: [30] train-mlogloss:0.02339509746059775 [ Info: [31] train-mlogloss:0.02308278462228676 [ Info: [32] train-mlogloss:0.02281722754860918 [ Info: [33] train-mlogloss:0.02257259101606906 [ Info: [34] train-mlogloss:0.02230413666305443 [ Info: [35] train-mlogloss:0.02208295688033104 [ Info: [36] train-mlogloss:0.02187540186569095 [ Info: [37] train-mlogloss:0.02167408597655594 [ Info: [38] train-mlogloss:0.02148825733922422 [ Info: [39] train-mlogloss:0.02132595413674911 [ Info: [40] train-mlogloss:0.02116227154619992 [ Info: [41] train-mlogloss:0.02102177910196285 [ Info: [42] train-mlogloss:0.02088575296103954 [ Info: [43] train-mlogloss:0.02077580708699922 [ Info: [44] train-mlogloss:0.02067926529484490 [ Info: [45] train-mlogloss:0.02060875733072559 [ Info: [46] train-mlogloss:0.02053994324368735 [ Info: [47] train-mlogloss:0.02047913377483686 [ Info: [48] train-mlogloss:0.02041405471507460 [ Info: [49] train-mlogloss:0.02035062051843852 [ Info: [50] train-mlogloss:0.02028928461950272 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50510965824127196 [ Info: [2] train-mlogloss:0.29332287689050041 [ Info: [3] train-mlogloss:0.19243335266908010 [ Info: [4] train-mlogloss:0.12939943850040436 [ Info: [5] train-mlogloss:0.09141587818662325 [ Info: [6] train-mlogloss:0.06991649329662324 [ Info: [7] train-mlogloss:0.05696009583771229 [ Info: [8] train-mlogloss:0.04754445374011993 [ Info: [9] train-mlogloss:0.04046116626511018 [ Info: [10] train-mlogloss:0.03649225167930126 [ Info: [11] train-mlogloss:0.03441473265488942 [ Info: [12] train-mlogloss:0.03330965369939804 [ Info: [13] train-mlogloss:0.03163843148698409 [ Info: [14] train-mlogloss:0.03030276882151763 [ Info: [15] train-mlogloss:0.02933161568517486 [ Info: [16] train-mlogloss:0.02848484484478831 [ Info: [17] train-mlogloss:0.02771558664739132 [ Info: [18] train-mlogloss:0.02702825215955575 [ Info: [19] train-mlogloss:0.02636596218372385 [ Info: [20] train-mlogloss:0.02583202212428053 [ Info: [21] train-mlogloss:0.02517045314734181 [ Info: [22] train-mlogloss:0.02468212140724063 [ Info: [23] train-mlogloss:0.02414322571828961 [ Info: [24] train-mlogloss:0.02366296111295621 [ Info: [25] train-mlogloss:0.02322378057365616 [ Info: [26] train-mlogloss:0.02285199040857454 [ Info: [27] train-mlogloss:0.02251728224878510 [ Info: [28] train-mlogloss:0.02218807773354153 [ Info: [29] train-mlogloss:0.02191199799378713 [ Info: [30] train-mlogloss:0.02163433740536372 [ Info: [31] train-mlogloss:0.02137814064820608 [ Info: [32] train-mlogloss:0.02117854579662283 [ Info: [33] train-mlogloss:0.02100149499562879 [ Info: [34] train-mlogloss:0.02086663131912549 [ Info: [35] train-mlogloss:0.02076660459550719 [ Info: [36] train-mlogloss:0.02067137327355643 [ Info: [37] train-mlogloss:0.02057873523483674 [ Info: [38] train-mlogloss:0.02049339316009233 [ Info: [39] train-mlogloss:0.02040819499486437 [ Info: [40] train-mlogloss:0.02033092662071188 [ Info: [41] train-mlogloss:0.02025994973412405 [ Info: [42] train-mlogloss:0.02019297366185735 [ Info: [43] train-mlogloss:0.02012769406816612 [ Info: [44] train-mlogloss:0.02006614360803117 [ Info: [45] train-mlogloss:0.02000553105957806 [ Info: [46] train-mlogloss:0.01995015288858364 [ Info: [47] train-mlogloss:0.01989899692436059 [ Info: [48] train-mlogloss:0.01985068413584183 [ Info: [49] train-mlogloss:0.01980552038333068 [ Info: [50] train-mlogloss:0.01976357075075309 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055096944173180 [ Info: [2] train-mlogloss:0.86261010169982910 [ Info: [3] train-mlogloss:0.77046241521835324 [ Info: [4] train-mlogloss:0.69103077570597327 [ Info: [5] train-mlogloss:0.62233018477757773 [ Info: [6] train-mlogloss:0.56227986574172972 [ Info: [7] train-mlogloss:0.50952597220738727 [ Info: [8] train-mlogloss:0.46298702120780943 [ Info: [9] train-mlogloss:0.42178467432657879 [ Info: [10] train-mlogloss:0.38519565860430399 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85220833222071335 [ Info: [2] train-mlogloss:0.67794175386428834 [ Info: [3] train-mlogloss:0.54922377824783331 [ Info: [4] train-mlogloss:0.45095416347185768 [ Info: [5] train-mlogloss:0.37449954867362978 [ Info: [6] train-mlogloss:0.31421150803565978 [ Info: [7] train-mlogloss:0.26619092742602030 [ Info: [8] train-mlogloss:0.22660287300745646 [ Info: [9] train-mlogloss:0.19537391483783723 [ Info: [10] train-mlogloss:0.16865914146105448 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74396165609359743 [ Info: [2] train-mlogloss:0.53422924915949499 [ Info: [3] train-mlogloss:0.39766935745875043 [ Info: [4] train-mlogloss:0.30390803853670756 [ Info: [5] train-mlogloss:0.23623061378796895 [ Info: [6] train-mlogloss:0.18834315121173859 [ Info: [7] train-mlogloss:0.15192522356907526 [ Info: [8] train-mlogloss:0.12529067556063334 [ Info: [9] train-mlogloss:0.10425502181053162 [ Info: [10] train-mlogloss:0.08877358595530192 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64598685820897417 [ Info: [2] train-mlogloss:0.42364867766698200 [ Info: [3] train-mlogloss:0.29379338939984639 [ Info: [4] train-mlogloss:0.21091638684272765 [ Info: [5] train-mlogloss:0.15766424685716629 [ Info: [6] train-mlogloss:0.12181508521238962 [ Info: [7] train-mlogloss:0.09670326267679533 [ Info: [8] train-mlogloss:0.07834275657931963 [ Info: [9] train-mlogloss:0.06581677034497262 [ Info: [10] train-mlogloss:0.05687924553950627 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55824412981669103 [ Info: [2] train-mlogloss:0.33727539459864297 [ Info: [3] train-mlogloss:0.22095748901367188 [ Info: [4] train-mlogloss:0.15165765861670177 [ Info: [5] train-mlogloss:0.11072295298178991 [ Info: [6] train-mlogloss:0.08523791422446569 [ Info: [7] train-mlogloss:0.06706807042161624 [ Info: [8] train-mlogloss:0.05564154659708341 [ Info: [9] train-mlogloss:0.04926872481902440 [ Info: [10] train-mlogloss:0.04438575963179271 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48048031846682232 [ Info: [2] train-mlogloss:0.27036056240399681 [ Info: [3] train-mlogloss:0.16669855137666068 [ Info: [4] train-mlogloss:0.11076243390639623 [ Info: [5] train-mlogloss:0.08033146351575851 [ Info: [6] train-mlogloss:0.06090260105828444 [ Info: [7] train-mlogloss:0.04956483103334904 [ Info: [8] train-mlogloss:0.04303256325423718 [ Info: [9] train-mlogloss:0.04105295599748691 [ Info: [10] train-mlogloss:0.03966945016135772 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055096944173180 [ Info: [2] train-mlogloss:0.86261010169982910 [ Info: [3] train-mlogloss:0.77046241521835324 [ Info: [4] train-mlogloss:0.69103077570597327 [ Info: [5] train-mlogloss:0.62233018477757773 [ Info: [6] train-mlogloss:0.56227986574172972 [ Info: [7] train-mlogloss:0.50952597220738727 [ Info: [8] train-mlogloss:0.46298702120780943 [ Info: [9] train-mlogloss:0.42178467432657879 [ Info: [10] train-mlogloss:0.38519565860430399 [ Info: [11] train-mlogloss:0.35261750102043155 [ Info: [12] train-mlogloss:0.32354342103004458 [ Info: [13] train-mlogloss:0.29754371802012125 [ Info: [14] train-mlogloss:0.27378569384415946 [ Info: [15] train-mlogloss:0.25285612841447197 [ Info: [16] train-mlogloss:0.23357891956965129 [ Info: [17] train-mlogloss:0.21662814438343048 [ Info: [18] train-mlogloss:0.20088207443555195 [ Info: [19] train-mlogloss:0.18694981217384338 [ Info: [20] train-mlogloss:0.17398068408171335 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85220833222071335 [ Info: [2] train-mlogloss:0.67794175386428834 [ Info: [3] train-mlogloss:0.54922377824783331 [ Info: [4] train-mlogloss:0.45095416347185768 [ Info: [5] train-mlogloss:0.37449954867362978 [ Info: [6] train-mlogloss:0.31421150803565978 [ Info: [7] train-mlogloss:0.26619092742602030 [ Info: [8] train-mlogloss:0.22660287300745646 [ Info: [9] train-mlogloss:0.19537391483783723 [ Info: [10] train-mlogloss:0.16865914146105448 [ Info: [11] train-mlogloss:0.14709251274665197 [ Info: [12] train-mlogloss:0.12973108013470969 [ Info: [13] train-mlogloss:0.11539886544148127 [ Info: [14] train-mlogloss:0.10260611792405447 [ Info: [15] train-mlogloss:0.09230322996775309 [ Info: [16] train-mlogloss:0.08335344791412354 [ Info: [17] train-mlogloss:0.07595570703347523 [ Info: [18] train-mlogloss:0.06974477306008339 [ Info: [19] train-mlogloss:0.06441802173852920 [ Info: [20] train-mlogloss:0.05990940307577451 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74396165609359743 [ Info: [2] train-mlogloss:0.53422924915949499 [ Info: [3] train-mlogloss:0.39766935745875043 [ Info: [4] train-mlogloss:0.30390803853670756 [ Info: [5] train-mlogloss:0.23623061378796895 [ Info: [6] train-mlogloss:0.18834315121173859 [ Info: [7] train-mlogloss:0.15192522356907526 [ Info: [8] train-mlogloss:0.12529067556063334 [ Info: [9] train-mlogloss:0.10425502181053162 [ Info: [10] train-mlogloss:0.08877358595530192 [ Info: [11] train-mlogloss:0.07677025298277537 [ Info: [12] train-mlogloss:0.06697501535216967 [ Info: [13] train-mlogloss:0.05952312789857388 [ Info: [14] train-mlogloss:0.05427792000273864 [ Info: [15] train-mlogloss:0.05029276584585508 [ Info: [16] train-mlogloss:0.04711111669739088 [ Info: [17] train-mlogloss:0.04457587813337644 [ Info: [18] train-mlogloss:0.04366778896500667 [ Info: [19] train-mlogloss:0.04287270184606314 [ Info: [20] train-mlogloss:0.04228110684702794 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64598685820897417 [ Info: [2] train-mlogloss:0.42364867766698200 [ Info: [3] train-mlogloss:0.29379338939984639 [ Info: [4] train-mlogloss:0.21091638684272765 [ Info: [5] train-mlogloss:0.15766424685716629 [ Info: [6] train-mlogloss:0.12181508521238962 [ Info: [7] train-mlogloss:0.09670326267679533 [ Info: [8] train-mlogloss:0.07834275657931963 [ Info: [9] train-mlogloss:0.06581677034497262 [ Info: [10] train-mlogloss:0.05687924553950627 [ Info: [11] train-mlogloss:0.05103616565465927 [ Info: [12] train-mlogloss:0.04668214604258537 [ Info: [13] train-mlogloss:0.04320188894867897 [ Info: [14] train-mlogloss:0.04219265980025132 [ Info: [15] train-mlogloss:0.04157805549601714 [ Info: [16] train-mlogloss:0.04107055512567361 [ Info: [17] train-mlogloss:0.04052372166266044 [ Info: [18] train-mlogloss:0.04030535031110048 [ Info: [19] train-mlogloss:0.04011240663627783 [ Info: [20] train-mlogloss:0.03967760451138019 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55824412981669103 [ Info: [2] train-mlogloss:0.33727539459864297 [ Info: [3] train-mlogloss:0.22095748901367188 [ Info: [4] train-mlogloss:0.15165765861670177 [ Info: [5] train-mlogloss:0.11072295298178991 [ Info: [6] train-mlogloss:0.08523791422446569 [ Info: [7] train-mlogloss:0.06706807042161624 [ Info: [8] train-mlogloss:0.05564154659708341 [ Info: [9] train-mlogloss:0.04926872481902440 [ Info: [10] train-mlogloss:0.04438575963179271 [ Info: [11] train-mlogloss:0.04312484554946423 [ Info: [12] train-mlogloss:0.04224436037242413 [ Info: [13] train-mlogloss:0.04133355410148700 [ Info: [14] train-mlogloss:0.04078690300385157 [ Info: [15] train-mlogloss:0.04050077715267738 [ Info: [16] train-mlogloss:0.04024348732084036 [ Info: [17] train-mlogloss:0.03986633888135354 [ Info: [18] train-mlogloss:0.03960164008041223 [ Info: [19] train-mlogloss:0.03937550023198128 [ Info: [20] train-mlogloss:0.03905256822705269 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48048031846682232 [ Info: [2] train-mlogloss:0.27036056240399681 [ Info: [3] train-mlogloss:0.16669855137666068 [ Info: [4] train-mlogloss:0.11076243390639623 [ Info: [5] train-mlogloss:0.08033146351575851 [ Info: [6] train-mlogloss:0.06090260105828444 [ Info: [7] train-mlogloss:0.04956483103334904 [ Info: [8] train-mlogloss:0.04303256325423718 [ Info: [9] train-mlogloss:0.04105295599748691 [ Info: [10] train-mlogloss:0.03966945016135772 [ Info: [11] train-mlogloss:0.03878901343792677 [ Info: [12] train-mlogloss:0.03844622429460287 [ Info: [13] train-mlogloss:0.03816984817385673 [ Info: [14] train-mlogloss:0.03753086984157562 [ Info: [15] train-mlogloss:0.03724019171049198 [ Info: [16] train-mlogloss:0.03693018304804961 [ Info: [17] train-mlogloss:0.03665430293728908 [ Info: [18] train-mlogloss:0.03641493935137987 [ Info: [19] train-mlogloss:0.03612678383787473 [ Info: [20] train-mlogloss:0.03588041273256143 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055096944173180 [ Info: [2] train-mlogloss:0.86261010169982910 [ Info: [3] train-mlogloss:0.77046241521835324 [ Info: [4] train-mlogloss:0.69103077570597327 [ Info: [5] train-mlogloss:0.62233018477757773 [ Info: [6] train-mlogloss:0.56227986574172972 [ Info: [7] train-mlogloss:0.50952597220738727 [ Info: [8] train-mlogloss:0.46298702120780943 [ Info: [9] train-mlogloss:0.42178467432657879 [ Info: [10] train-mlogloss:0.38519565860430399 [ Info: [11] train-mlogloss:0.35261750102043155 [ Info: [12] train-mlogloss:0.32354342103004458 [ Info: [13] train-mlogloss:0.29754371802012125 [ Info: [14] train-mlogloss:0.27378569384415946 [ Info: [15] train-mlogloss:0.25285612841447197 [ Info: [16] train-mlogloss:0.23357891956965129 [ Info: [17] train-mlogloss:0.21662814438343048 [ Info: [18] train-mlogloss:0.20088207443555195 [ Info: [19] train-mlogloss:0.18694981217384338 [ Info: [20] train-mlogloss:0.17398068408171335 [ Info: [21] train-mlogloss:0.16219009568293891 [ Info: [22] train-mlogloss:0.15145108540852864 [ Info: [23] train-mlogloss:0.14202537645896277 [ Info: [24] train-mlogloss:0.13355850925048193 [ Info: [25] train-mlogloss:0.12562651485204696 [ Info: [26] train-mlogloss:0.11811658571163813 [ Info: [27] train-mlogloss:0.11150131940841675 [ Info: [28] train-mlogloss:0.10544451892375946 [ Info: [29] train-mlogloss:0.09967513054609299 [ Info: [30] train-mlogloss:0.09458694805701574 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85220833222071335 [ Info: [2] train-mlogloss:0.67794175386428834 [ Info: [3] train-mlogloss:0.54922377824783331 [ Info: [4] train-mlogloss:0.45095416347185768 [ Info: [5] train-mlogloss:0.37449954867362978 [ Info: [6] train-mlogloss:0.31421150803565978 [ Info: [7] train-mlogloss:0.26619092742602030 [ Info: [8] train-mlogloss:0.22660287300745646 [ Info: [9] train-mlogloss:0.19537391483783723 [ Info: [10] train-mlogloss:0.16865914146105448 [ Info: [11] train-mlogloss:0.14709251274665197 [ Info: [12] train-mlogloss:0.12973108013470969 [ Info: [13] train-mlogloss:0.11539886544148127 [ Info: [14] train-mlogloss:0.10260611792405447 [ Info: [15] train-mlogloss:0.09230322996775309 [ Info: [16] train-mlogloss:0.08335344791412354 [ Info: [17] train-mlogloss:0.07595570703347523 [ Info: [18] train-mlogloss:0.06974477306008339 [ Info: [19] train-mlogloss:0.06441802173852920 [ Info: [20] train-mlogloss:0.05990940307577451 [ Info: [21] train-mlogloss:0.05636710062623024 [ Info: [22] train-mlogloss:0.05346359734733899 [ Info: [23] train-mlogloss:0.05093535788357258 [ Info: [24] train-mlogloss:0.04875087636212508 [ Info: [25] train-mlogloss:0.04692573674023151 [ Info: [26] train-mlogloss:0.04529203092058499 [ Info: [27] train-mlogloss:0.04467028835167487 [ Info: [28] train-mlogloss:0.04410178179542223 [ Info: [29] train-mlogloss:0.04365457911044359 [ Info: [30] train-mlogloss:0.04324967396756013 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74396165609359743 [ Info: [2] train-mlogloss:0.53422924915949499 [ Info: [3] train-mlogloss:0.39766935745875043 [ Info: [4] train-mlogloss:0.30390803853670756 [ Info: [5] train-mlogloss:0.23623061378796895 [ Info: [6] train-mlogloss:0.18834315121173859 [ Info: [7] train-mlogloss:0.15192522356907526 [ Info: [8] train-mlogloss:0.12529067556063334 [ Info: [9] train-mlogloss:0.10425502181053162 [ Info: [10] train-mlogloss:0.08877358595530192 [ Info: [11] train-mlogloss:0.07677025298277537 [ Info: [12] train-mlogloss:0.06697501535216967 [ Info: [13] train-mlogloss:0.05952312789857388 [ Info: [14] train-mlogloss:0.05427792000273864 [ Info: [15] train-mlogloss:0.05029276584585508 [ Info: [16] train-mlogloss:0.04711111669739088 [ Info: [17] train-mlogloss:0.04457587813337644 [ Info: [18] train-mlogloss:0.04366778896500667 [ Info: [19] train-mlogloss:0.04287270184606314 [ Info: [20] train-mlogloss:0.04228110684702794 [ Info: [21] train-mlogloss:0.04182689969738324 [ Info: [22] train-mlogloss:0.04139247760176658 [ Info: [23] train-mlogloss:0.04118588795264562 [ Info: [24] train-mlogloss:0.04099739871919155 [ Info: [25] train-mlogloss:0.04082511434952418 [ Info: [26] train-mlogloss:0.04066821136822303 [ Info: [27] train-mlogloss:0.04051301587373018 [ Info: [28] train-mlogloss:0.04037025891244411 [ Info: [29] train-mlogloss:0.03982777056594690 [ Info: [30] train-mlogloss:0.03960598591715098 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64598685820897417 [ Info: [2] train-mlogloss:0.42364867766698200 [ Info: [3] train-mlogloss:0.29379338939984639 [ Info: [4] train-mlogloss:0.21091638684272765 [ Info: [5] train-mlogloss:0.15766424685716629 [ Info: [6] train-mlogloss:0.12181508521238962 [ Info: [7] train-mlogloss:0.09670326267679533 [ Info: [8] train-mlogloss:0.07834275657931963 [ Info: [9] train-mlogloss:0.06581677034497262 [ Info: [10] train-mlogloss:0.05687924553950627 [ Info: [11] train-mlogloss:0.05103616565465927 [ Info: [12] train-mlogloss:0.04668214604258537 [ Info: [13] train-mlogloss:0.04320188894867897 [ Info: [14] train-mlogloss:0.04219265980025132 [ Info: [15] train-mlogloss:0.04157805549601714 [ Info: [16] train-mlogloss:0.04107055512567361 [ Info: [17] train-mlogloss:0.04052372166266044 [ Info: [18] train-mlogloss:0.04030535031110048 [ Info: [19] train-mlogloss:0.04011240663627783 [ Info: [20] train-mlogloss:0.03967760451138019 [ Info: [21] train-mlogloss:0.03939115643501281 [ Info: [22] train-mlogloss:0.03919061455875635 [ Info: [23] train-mlogloss:0.03901940625160932 [ Info: [24] train-mlogloss:0.03875114808479945 [ Info: [25] train-mlogloss:0.03857405647635460 [ Info: [26] train-mlogloss:0.03841814093291759 [ Info: [27] train-mlogloss:0.03825753363470236 [ Info: [28] train-mlogloss:0.03801577345778544 [ Info: [29] train-mlogloss:0.03784544569750627 [ Info: [30] train-mlogloss:0.03770160123705864 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55824412981669103 [ Info: [2] train-mlogloss:0.33727539459864297 [ Info: [3] train-mlogloss:0.22095748901367188 [ Info: [4] train-mlogloss:0.15165765861670177 [ Info: [5] train-mlogloss:0.11072295298178991 [ Info: [6] train-mlogloss:0.08523791422446569 [ Info: [7] train-mlogloss:0.06706807042161624 [ Info: [8] train-mlogloss:0.05564154659708341 [ Info: [9] train-mlogloss:0.04926872481902440 [ Info: [10] train-mlogloss:0.04438575963179271 [ Info: [11] train-mlogloss:0.04312484554946423 [ Info: [12] train-mlogloss:0.04224436037242413 [ Info: [13] train-mlogloss:0.04133355410148700 [ Info: [14] train-mlogloss:0.04078690300385157 [ Info: [15] train-mlogloss:0.04050077715267738 [ Info: [16] train-mlogloss:0.04024348732084036 [ Info: [17] train-mlogloss:0.03986633888135354 [ Info: [18] train-mlogloss:0.03960164008041223 [ Info: [19] train-mlogloss:0.03937550023198128 [ Info: [20] train-mlogloss:0.03905256822705269 [ Info: [21] train-mlogloss:0.03882959436625242 [ Info: [22] train-mlogloss:0.03861872268219789 [ Info: [23] train-mlogloss:0.03841505646705627 [ Info: [24] train-mlogloss:0.03814269845684370 [ Info: [25] train-mlogloss:0.03794506231943767 [ Info: [26] train-mlogloss:0.03776382698367040 [ Info: [27] train-mlogloss:0.03751320919642846 [ Info: [28] train-mlogloss:0.03733385878304640 [ Info: [29] train-mlogloss:0.03715128330513835 [ Info: [30] train-mlogloss:0.03698768863454461 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48048031846682232 [ Info: [2] train-mlogloss:0.27036056240399681 [ Info: [3] train-mlogloss:0.16669855137666068 [ Info: [4] train-mlogloss:0.11076243390639623 [ Info: [5] train-mlogloss:0.08033146351575851 [ Info: [6] train-mlogloss:0.06090260105828444 [ Info: [7] train-mlogloss:0.04956483103334904 [ Info: [8] train-mlogloss:0.04303256325423718 [ Info: [9] train-mlogloss:0.04105295599748691 [ Info: [10] train-mlogloss:0.03966945016135772 [ Info: [11] train-mlogloss:0.03878901343792677 [ Info: [12] train-mlogloss:0.03844622429460287 [ Info: [13] train-mlogloss:0.03816984817385673 [ Info: [14] train-mlogloss:0.03753086984157562 [ Info: [15] train-mlogloss:0.03724019171049198 [ Info: [16] train-mlogloss:0.03693018304804961 [ Info: [17] train-mlogloss:0.03665430293728908 [ Info: [18] train-mlogloss:0.03641493935137987 [ Info: [19] train-mlogloss:0.03612678383787473 [ Info: [20] train-mlogloss:0.03588041273256143 [ Info: [21] train-mlogloss:0.03563696888585886 [ Info: [22] train-mlogloss:0.03540786261359850 [ Info: [23] train-mlogloss:0.03521383913854758 [ Info: [24] train-mlogloss:0.03499800406396389 [ Info: [25] train-mlogloss:0.03476324602340659 [ Info: [26] train-mlogloss:0.03455477679769198 [ Info: [27] train-mlogloss:0.03437226901451747 [ Info: [28] train-mlogloss:0.03406596231584748 [ Info: [29] train-mlogloss:0.03387994563207030 [ Info: [30] train-mlogloss:0.03368736481294036 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055096944173180 [ Info: [2] train-mlogloss:0.86261010169982910 [ Info: [3] train-mlogloss:0.77046241521835324 [ Info: [4] train-mlogloss:0.69103077570597327 [ Info: [5] train-mlogloss:0.62233018477757773 [ Info: [6] train-mlogloss:0.56227986574172972 [ Info: [7] train-mlogloss:0.50952597220738727 [ Info: [8] train-mlogloss:0.46298702120780943 [ Info: [9] train-mlogloss:0.42178467432657879 [ Info: [10] train-mlogloss:0.38519565860430399 [ Info: [11] train-mlogloss:0.35261750102043155 [ Info: [12] train-mlogloss:0.32354342103004458 [ Info: [13] train-mlogloss:0.29754371802012125 [ Info: [14] train-mlogloss:0.27378569384415946 [ Info: [15] train-mlogloss:0.25285612841447197 [ Info: [16] train-mlogloss:0.23357891956965129 [ Info: [17] train-mlogloss:0.21662814438343048 [ Info: [18] train-mlogloss:0.20088207443555195 [ Info: [19] train-mlogloss:0.18694981217384338 [ Info: [20] train-mlogloss:0.17398068408171335 [ Info: [21] train-mlogloss:0.16219009568293891 [ Info: [22] train-mlogloss:0.15145108540852864 [ Info: [23] train-mlogloss:0.14202537645896277 [ Info: [24] train-mlogloss:0.13355850925048193 [ Info: [25] train-mlogloss:0.12562651485204696 [ Info: [26] train-mlogloss:0.11811658571163813 [ Info: [27] train-mlogloss:0.11150131940841675 [ Info: [28] train-mlogloss:0.10544451892375946 [ Info: [29] train-mlogloss:0.09967513054609299 [ Info: [30] train-mlogloss:0.09458694805701574 [ Info: [31] train-mlogloss:0.08991088097294171 [ Info: [32] train-mlogloss:0.08547347957889238 [ Info: [33] train-mlogloss:0.08150599156816800 [ Info: [34] train-mlogloss:0.07792018185059230 [ Info: [35] train-mlogloss:0.07452619353930155 [ Info: [36] train-mlogloss:0.07138691365718841 [ Info: [37] train-mlogloss:0.06853042200207710 [ Info: [38] train-mlogloss:0.06585802589853605 [ Info: [39] train-mlogloss:0.06328910715878010 [ Info: [40] train-mlogloss:0.06101865075528622 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85220833222071335 [ Info: [2] train-mlogloss:0.67794175386428834 [ Info: [3] train-mlogloss:0.54922377824783331 [ Info: [4] train-mlogloss:0.45095416347185768 [ Info: [5] train-mlogloss:0.37449954867362978 [ Info: [6] train-mlogloss:0.31421150803565978 [ Info: [7] train-mlogloss:0.26619092742602030 [ Info: [8] train-mlogloss:0.22660287300745646 [ Info: [9] train-mlogloss:0.19537391483783723 [ Info: [10] train-mlogloss:0.16865914146105448 [ Info: [11] train-mlogloss:0.14709251274665197 [ Info: [12] train-mlogloss:0.12973108013470969 [ Info: [13] train-mlogloss:0.11539886544148127 [ Info: [14] train-mlogloss:0.10260611792405447 [ Info: [15] train-mlogloss:0.09230322996775309 [ Info: [16] train-mlogloss:0.08335344791412354 [ Info: [17] train-mlogloss:0.07595570703347523 [ Info: [18] train-mlogloss:0.06974477306008339 [ Info: [19] train-mlogloss:0.06441802173852920 [ Info: [20] train-mlogloss:0.05990940307577451 [ Info: [21] train-mlogloss:0.05636710062623024 [ Info: [22] train-mlogloss:0.05346359734733899 [ Info: [23] train-mlogloss:0.05093535788357258 [ Info: [24] train-mlogloss:0.04875087636212508 [ Info: [25] train-mlogloss:0.04692573674023151 [ Info: [26] train-mlogloss:0.04529203092058499 [ Info: [27] train-mlogloss:0.04467028835167487 [ Info: [28] train-mlogloss:0.04410178179542223 [ Info: [29] train-mlogloss:0.04365457911044359 [ Info: [30] train-mlogloss:0.04324967396756013 [ Info: [31] train-mlogloss:0.04278571918606758 [ Info: [32] train-mlogloss:0.04248144899805387 [ Info: [33] train-mlogloss:0.04206300817430019 [ Info: [34] train-mlogloss:0.04179398575176795 [ Info: [35] train-mlogloss:0.04165597133338451 [ Info: [36] train-mlogloss:0.04152611697713534 [ Info: [37] train-mlogloss:0.04139962088316679 [ Info: [38] train-mlogloss:0.04128043742229541 [ Info: [39] train-mlogloss:0.04104037308444580 [ Info: [40] train-mlogloss:0.04093222185969353 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74396165609359743 [ Info: [2] train-mlogloss:0.53422924915949499 [ Info: [3] train-mlogloss:0.39766935745875043 [ Info: [4] train-mlogloss:0.30390803853670756 [ Info: [5] train-mlogloss:0.23623061378796895 [ Info: [6] train-mlogloss:0.18834315121173859 [ Info: [7] train-mlogloss:0.15192522356907526 [ Info: [8] train-mlogloss:0.12529067556063334 [ Info: [9] train-mlogloss:0.10425502181053162 [ Info: [10] train-mlogloss:0.08877358595530192 [ Info: [11] train-mlogloss:0.07677025298277537 [ Info: [12] train-mlogloss:0.06697501535216967 [ Info: [13] train-mlogloss:0.05952312789857388 [ Info: [14] train-mlogloss:0.05427792000273864 [ Info: [15] train-mlogloss:0.05029276584585508 [ Info: [16] train-mlogloss:0.04711111669739088 [ Info: [17] train-mlogloss:0.04457587813337644 [ Info: [18] train-mlogloss:0.04366778896500667 [ Info: [19] train-mlogloss:0.04287270184606314 [ Info: [20] train-mlogloss:0.04228110684702794 [ Info: [21] train-mlogloss:0.04182689969738324 [ Info: [22] train-mlogloss:0.04139247760176658 [ Info: [23] train-mlogloss:0.04118588795264562 [ Info: [24] train-mlogloss:0.04099739871919155 [ Info: [25] train-mlogloss:0.04082511434952418 [ Info: [26] train-mlogloss:0.04066821136822303 [ Info: [27] train-mlogloss:0.04051301587373018 [ Info: [28] train-mlogloss:0.04037025891244411 [ Info: [29] train-mlogloss:0.03982777056594690 [ Info: [30] train-mlogloss:0.03960598591715098 [ Info: [31] train-mlogloss:0.03946630302816630 [ Info: [32] train-mlogloss:0.03933113665630420 [ Info: [33] train-mlogloss:0.03912795685231685 [ Info: [34] train-mlogloss:0.03898957574119170 [ Info: [35] train-mlogloss:0.03886814698576927 [ Info: [36] train-mlogloss:0.03874132434527079 [ Info: [37] train-mlogloss:0.03847379518051942 [ Info: [38] train-mlogloss:0.03827746688077847 [ Info: [39] train-mlogloss:0.03815694632629554 [ Info: [40] train-mlogloss:0.03804356095691522 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64598685820897417 [ Info: [2] train-mlogloss:0.42364867766698200 [ Info: [3] train-mlogloss:0.29379338939984639 [ Info: [4] train-mlogloss:0.21091638684272765 [ Info: [5] train-mlogloss:0.15766424685716629 [ Info: [6] train-mlogloss:0.12181508521238962 [ Info: [7] train-mlogloss:0.09670326267679533 [ Info: [8] train-mlogloss:0.07834275657931963 [ Info: [9] train-mlogloss:0.06581677034497262 [ Info: [10] train-mlogloss:0.05687924553950627 [ Info: [11] train-mlogloss:0.05103616565465927 [ Info: [12] train-mlogloss:0.04668214604258537 [ Info: [13] train-mlogloss:0.04320188894867897 [ Info: [14] train-mlogloss:0.04219265980025132 [ Info: [15] train-mlogloss:0.04157805549601714 [ Info: [16] train-mlogloss:0.04107055512567361 [ Info: [17] train-mlogloss:0.04052372166266044 [ Info: [18] train-mlogloss:0.04030535031110048 [ Info: [19] train-mlogloss:0.04011240663627783 [ Info: [20] train-mlogloss:0.03967760451138019 [ Info: [21] train-mlogloss:0.03939115643501281 [ Info: [22] train-mlogloss:0.03919061455875635 [ Info: [23] train-mlogloss:0.03901940625160932 [ Info: [24] train-mlogloss:0.03875114808479945 [ Info: [25] train-mlogloss:0.03857405647635460 [ Info: [26] train-mlogloss:0.03841814093291759 [ Info: [27] train-mlogloss:0.03825753363470236 [ Info: [28] train-mlogloss:0.03801577345778544 [ Info: [29] train-mlogloss:0.03784544569750627 [ Info: [30] train-mlogloss:0.03770160123705864 [ Info: [31] train-mlogloss:0.03746824320405721 [ Info: [32] train-mlogloss:0.03731848714252313 [ Info: [33] train-mlogloss:0.03718185681849718 [ Info: [34] train-mlogloss:0.03703855935484171 [ Info: [35] train-mlogloss:0.03682185071210067 [ Info: [36] train-mlogloss:0.03667798234770695 [ Info: [37] train-mlogloss:0.03655273965249459 [ Info: [38] train-mlogloss:0.03634939598540465 [ Info: [39] train-mlogloss:0.03621600693091750 [ Info: [40] train-mlogloss:0.03608488467832406 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55824412981669103 [ Info: [2] train-mlogloss:0.33727539459864297 [ Info: [3] train-mlogloss:0.22095748901367188 [ Info: [4] train-mlogloss:0.15165765861670177 [ Info: [5] train-mlogloss:0.11072295298178991 [ Info: [6] train-mlogloss:0.08523791422446569 [ Info: [7] train-mlogloss:0.06706807042161624 [ Info: [8] train-mlogloss:0.05564154659708341 [ Info: [9] train-mlogloss:0.04926872481902440 [ Info: [10] train-mlogloss:0.04438575963179271 [ Info: [11] train-mlogloss:0.04312484554946423 [ Info: [12] train-mlogloss:0.04224436037242413 [ Info: [13] train-mlogloss:0.04133355410148700 [ Info: [14] train-mlogloss:0.04078690300385157 [ Info: [15] train-mlogloss:0.04050077715267738 [ Info: [16] train-mlogloss:0.04024348732084036 [ Info: [17] train-mlogloss:0.03986633888135354 [ Info: [18] train-mlogloss:0.03960164008041223 [ Info: [19] train-mlogloss:0.03937550023198128 [ Info: [20] train-mlogloss:0.03905256822705269 [ Info: [21] train-mlogloss:0.03882959436625242 [ Info: [22] train-mlogloss:0.03861872268219789 [ Info: [23] train-mlogloss:0.03841505646705627 [ Info: [24] train-mlogloss:0.03814269845684370 [ Info: [25] train-mlogloss:0.03794506231943767 [ Info: [26] train-mlogloss:0.03776382698367040 [ Info: [27] train-mlogloss:0.03751320919642846 [ Info: [28] train-mlogloss:0.03733385878304640 [ Info: [29] train-mlogloss:0.03715128330513835 [ Info: [30] train-mlogloss:0.03698768863454461 [ Info: [31] train-mlogloss:0.03674481241653363 [ Info: [32] train-mlogloss:0.03657925652960936 [ Info: [33] train-mlogloss:0.03636097815508644 [ Info: [34] train-mlogloss:0.03619105904673536 [ Info: [35] train-mlogloss:0.03604018677646915 [ Info: [36] train-mlogloss:0.03590019951884945 [ Info: [37] train-mlogloss:0.03569530131295323 [ Info: [38] train-mlogloss:0.03554728204384446 [ Info: [39] train-mlogloss:0.03539346345389883 [ Info: [40] train-mlogloss:0.03521864222983519 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48048031846682232 [ Info: [2] train-mlogloss:0.27036056240399681 [ Info: [3] train-mlogloss:0.16669855137666068 [ Info: [4] train-mlogloss:0.11076243390639623 [ Info: [5] train-mlogloss:0.08033146351575851 [ Info: [6] train-mlogloss:0.06090260105828444 [ Info: [7] train-mlogloss:0.04956483103334904 [ Info: [8] train-mlogloss:0.04303256325423718 [ Info: [9] train-mlogloss:0.04105295599748691 [ Info: [10] train-mlogloss:0.03966945016135772 [ Info: [11] train-mlogloss:0.03878901343792677 [ Info: [12] train-mlogloss:0.03844622429460287 [ Info: [13] train-mlogloss:0.03816984817385673 [ Info: [14] train-mlogloss:0.03753086984157562 [ Info: [15] train-mlogloss:0.03724019171049198 [ Info: [16] train-mlogloss:0.03693018304804961 [ Info: [17] train-mlogloss:0.03665430293728908 [ Info: [18] train-mlogloss:0.03641493935137987 [ Info: [19] train-mlogloss:0.03612678383787473 [ Info: [20] train-mlogloss:0.03588041273256143 [ Info: [21] train-mlogloss:0.03563696888585886 [ Info: [22] train-mlogloss:0.03540786261359850 [ Info: [23] train-mlogloss:0.03521383913854758 [ Info: [24] train-mlogloss:0.03499800406396389 [ Info: [25] train-mlogloss:0.03476324602340659 [ Info: [26] train-mlogloss:0.03455477679769198 [ Info: [27] train-mlogloss:0.03437226901451747 [ Info: [28] train-mlogloss:0.03406596231584748 [ Info: [29] train-mlogloss:0.03387994563207030 [ Info: [30] train-mlogloss:0.03368736481294036 [ Info: [31] train-mlogloss:0.03348792004088560 [ Info: [32] train-mlogloss:0.03329764557381471 [ Info: [33] train-mlogloss:0.03313244639585416 [ Info: [34] train-mlogloss:0.03297444305693110 [ Info: [35] train-mlogloss:0.03278097599123915 [ Info: [36] train-mlogloss:0.03262166491399209 [ Info: [37] train-mlogloss:0.03246377124140660 [ Info: [38] train-mlogloss:0.03230416504666209 [ Info: [39] train-mlogloss:0.03215255285302798 [ Info: [40] train-mlogloss:0.03200918945173423 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055096944173180 [ Info: [2] train-mlogloss:0.86261010169982910 [ Info: [3] train-mlogloss:0.77046241521835324 [ Info: [4] train-mlogloss:0.69103077570597327 [ Info: [5] train-mlogloss:0.62233018477757773 [ Info: [6] train-mlogloss:0.56227986574172972 [ Info: [7] train-mlogloss:0.50952597220738727 [ Info: [8] train-mlogloss:0.46298702120780943 [ Info: [9] train-mlogloss:0.42178467432657879 [ Info: [10] train-mlogloss:0.38519565860430399 [ Info: [11] train-mlogloss:0.35261750102043155 [ Info: [12] train-mlogloss:0.32354342103004458 [ Info: [13] train-mlogloss:0.29754371802012125 [ Info: [14] train-mlogloss:0.27378569384415946 [ Info: [15] train-mlogloss:0.25285612841447197 [ Info: [16] train-mlogloss:0.23357891956965129 [ Info: [17] train-mlogloss:0.21662814438343048 [ Info: [18] train-mlogloss:0.20088207443555195 [ Info: [19] train-mlogloss:0.18694981217384338 [ Info: [20] train-mlogloss:0.17398068408171335 [ Info: [21] train-mlogloss:0.16219009568293891 [ Info: [22] train-mlogloss:0.15145108540852864 [ Info: [23] train-mlogloss:0.14202537645896277 [ Info: [24] train-mlogloss:0.13355850925048193 [ Info: [25] train-mlogloss:0.12562651485204696 [ Info: [26] train-mlogloss:0.11811658571163813 [ Info: [27] train-mlogloss:0.11150131940841675 [ Info: [28] train-mlogloss:0.10544451892375946 [ Info: [29] train-mlogloss:0.09967513054609299 [ Info: [30] train-mlogloss:0.09458694805701574 [ Info: [31] train-mlogloss:0.08991088097294171 [ Info: [32] train-mlogloss:0.08547347957889238 [ Info: [33] train-mlogloss:0.08150599156816800 [ Info: [34] train-mlogloss:0.07792018185059230 [ Info: [35] train-mlogloss:0.07452619353930155 [ Info: [36] train-mlogloss:0.07138691365718841 [ Info: [37] train-mlogloss:0.06853042200207710 [ Info: [38] train-mlogloss:0.06585802589853605 [ Info: [39] train-mlogloss:0.06328910715878010 [ Info: [40] train-mlogloss:0.06101865075528622 [ Info: [41] train-mlogloss:0.05910019425054391 [ Info: [42] train-mlogloss:0.05732193236549695 [ Info: [43] train-mlogloss:0.05575558170676231 [ Info: [44] train-mlogloss:0.05429544200499852 [ Info: [45] train-mlogloss:0.05293527578314145 [ Info: [46] train-mlogloss:0.05165784480671088 [ Info: [47] train-mlogloss:0.05046246722340584 [ Info: [48] train-mlogloss:0.04935105115175247 [ Info: [49] train-mlogloss:0.04827714925010999 [ Info: [50] train-mlogloss:0.04735283126433690 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85220833222071335 [ Info: [2] train-mlogloss:0.67794175386428834 [ Info: [3] train-mlogloss:0.54922377824783331 [ Info: [4] train-mlogloss:0.45095416347185768 [ Info: [5] train-mlogloss:0.37449954867362978 [ Info: [6] train-mlogloss:0.31421150803565978 [ Info: [7] train-mlogloss:0.26619092742602030 [ Info: [8] train-mlogloss:0.22660287300745646 [ Info: [9] train-mlogloss:0.19537391483783723 [ Info: [10] train-mlogloss:0.16865914146105448 [ Info: [11] train-mlogloss:0.14709251274665197 [ Info: [12] train-mlogloss:0.12973108013470969 [ Info: [13] train-mlogloss:0.11539886544148127 [ Info: [14] train-mlogloss:0.10260611792405447 [ Info: [15] train-mlogloss:0.09230322996775309 [ Info: [16] train-mlogloss:0.08335344791412354 [ Info: [17] train-mlogloss:0.07595570703347523 [ Info: [18] train-mlogloss:0.06974477306008339 [ Info: [19] train-mlogloss:0.06441802173852920 [ Info: [20] train-mlogloss:0.05990940307577451 [ Info: [21] train-mlogloss:0.05636710062623024 [ Info: [22] train-mlogloss:0.05346359734733899 [ Info: [23] train-mlogloss:0.05093535788357258 [ Info: [24] train-mlogloss:0.04875087636212508 [ Info: [25] train-mlogloss:0.04692573674023151 [ Info: [26] train-mlogloss:0.04529203092058499 [ Info: [27] train-mlogloss:0.04467028835167487 [ Info: [28] train-mlogloss:0.04410178179542223 [ Info: [29] train-mlogloss:0.04365457911044359 [ Info: [30] train-mlogloss:0.04324967396756013 [ Info: [31] train-mlogloss:0.04278571918606758 [ Info: [32] train-mlogloss:0.04248144899805387 [ Info: [33] train-mlogloss:0.04206300817430019 [ Info: [34] train-mlogloss:0.04179398575176795 [ Info: [35] train-mlogloss:0.04165597133338451 [ Info: [36] train-mlogloss:0.04152611697713534 [ Info: [37] train-mlogloss:0.04139962088316679 [ Info: [38] train-mlogloss:0.04128043742229541 [ Info: [39] train-mlogloss:0.04104037308444580 [ Info: [40] train-mlogloss:0.04093222185969353 [ Info: [41] train-mlogloss:0.04083000227808952 [ Info: [42] train-mlogloss:0.04073303043842316 [ Info: [43] train-mlogloss:0.04063586503267289 [ Info: [44] train-mlogloss:0.04043067644039790 [ Info: [45] train-mlogloss:0.04026536664615075 [ Info: [46] train-mlogloss:0.04016629744321108 [ Info: [47] train-mlogloss:0.04007443834096194 [ Info: [48] train-mlogloss:0.03991640718032916 [ Info: [49] train-mlogloss:0.03982304256409407 [ Info: [50] train-mlogloss:0.03973664997766415 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74396165609359743 [ Info: [2] train-mlogloss:0.53422924915949499 [ Info: [3] train-mlogloss:0.39766935745875043 [ Info: [4] train-mlogloss:0.30390803853670756 [ Info: [5] train-mlogloss:0.23623061378796895 [ Info: [6] train-mlogloss:0.18834315121173859 [ Info: [7] train-mlogloss:0.15192522356907526 [ Info: [8] train-mlogloss:0.12529067556063334 [ Info: [9] train-mlogloss:0.10425502181053162 [ Info: [10] train-mlogloss:0.08877358595530192 [ Info: [11] train-mlogloss:0.07677025298277537 [ Info: [12] train-mlogloss:0.06697501535216967 [ Info: [13] train-mlogloss:0.05952312789857388 [ Info: [14] train-mlogloss:0.05427792000273864 [ Info: [15] train-mlogloss:0.05029276584585508 [ Info: [16] train-mlogloss:0.04711111669739088 [ Info: [17] train-mlogloss:0.04457587813337644 [ Info: [18] train-mlogloss:0.04366778896500667 [ Info: [19] train-mlogloss:0.04287270184606314 [ Info: [20] train-mlogloss:0.04228110684702794 [ Info: [21] train-mlogloss:0.04182689969738324 [ Info: [22] train-mlogloss:0.04139247760176658 [ Info: [23] train-mlogloss:0.04118588795264562 [ Info: [24] train-mlogloss:0.04099739871919155 [ Info: [25] train-mlogloss:0.04082511434952418 [ Info: [26] train-mlogloss:0.04066821136822303 [ Info: [27] train-mlogloss:0.04051301587373018 [ Info: [28] train-mlogloss:0.04037025891244411 [ Info: [29] train-mlogloss:0.03982777056594690 [ Info: [30] train-mlogloss:0.03960598591715098 [ Info: [31] train-mlogloss:0.03946630302816630 [ Info: [32] train-mlogloss:0.03933113665630420 [ Info: [33] train-mlogloss:0.03912795685231685 [ Info: [34] train-mlogloss:0.03898957574119170 [ Info: [35] train-mlogloss:0.03886814698576927 [ Info: [36] train-mlogloss:0.03874132434527079 [ Info: [37] train-mlogloss:0.03847379518051942 [ Info: [38] train-mlogloss:0.03827746688077847 [ Info: [39] train-mlogloss:0.03815694632629554 [ Info: [40] train-mlogloss:0.03804356095691522 [ Info: [41] train-mlogloss:0.03785975150763989 [ Info: [42] train-mlogloss:0.03774577242632707 [ Info: [43] train-mlogloss:0.03757588664690654 [ Info: [44] train-mlogloss:0.03745948617657026 [ Info: [45] train-mlogloss:0.03735297873616219 [ Info: [46] train-mlogloss:0.03724700381358464 [ Info: [47] train-mlogloss:0.03708079560349385 [ Info: [48] train-mlogloss:0.03697251562029123 [ Info: [49] train-mlogloss:0.03687415802230438 [ Info: [50] train-mlogloss:0.03671571508670846 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64598685820897417 [ Info: [2] train-mlogloss:0.42364867766698200 [ Info: [3] train-mlogloss:0.29379338939984639 [ Info: [4] train-mlogloss:0.21091638684272765 [ Info: [5] train-mlogloss:0.15766424685716629 [ Info: [6] train-mlogloss:0.12181508521238962 [ Info: [7] train-mlogloss:0.09670326267679533 [ Info: [8] train-mlogloss:0.07834275657931963 [ Info: [9] train-mlogloss:0.06581677034497262 [ Info: [10] train-mlogloss:0.05687924553950627 [ Info: [11] train-mlogloss:0.05103616565465927 [ Info: [12] train-mlogloss:0.04668214604258537 [ Info: [13] train-mlogloss:0.04320188894867897 [ Info: [14] train-mlogloss:0.04219265980025132 [ Info: [15] train-mlogloss:0.04157805549601714 [ Info: [16] train-mlogloss:0.04107055512567361 [ Info: [17] train-mlogloss:0.04052372166266044 [ Info: [18] train-mlogloss:0.04030535031110048 [ Info: [19] train-mlogloss:0.04011240663627783 [ Info: [20] train-mlogloss:0.03967760451138019 [ Info: [21] train-mlogloss:0.03939115643501281 [ Info: [22] train-mlogloss:0.03919061455875635 [ Info: [23] train-mlogloss:0.03901940625160932 [ Info: [24] train-mlogloss:0.03875114808479945 [ Info: [25] train-mlogloss:0.03857405647635460 [ Info: [26] train-mlogloss:0.03841814093291759 [ Info: [27] train-mlogloss:0.03825753363470236 [ Info: [28] train-mlogloss:0.03801577345778544 [ Info: [29] train-mlogloss:0.03784544569750627 [ Info: [30] train-mlogloss:0.03770160123705864 [ Info: [31] train-mlogloss:0.03746824320405721 [ Info: [32] train-mlogloss:0.03731848714252313 [ Info: [33] train-mlogloss:0.03718185681849718 [ Info: [34] train-mlogloss:0.03703855935484171 [ Info: [35] train-mlogloss:0.03682185071210067 [ Info: [36] train-mlogloss:0.03667798234770695 [ Info: [37] train-mlogloss:0.03655273965249459 [ Info: [38] train-mlogloss:0.03634939598540465 [ Info: [39] train-mlogloss:0.03621600693091750 [ Info: [40] train-mlogloss:0.03608488467832406 [ Info: [41] train-mlogloss:0.03596603240196904 [ Info: [42] train-mlogloss:0.03578886278594533 [ Info: [43] train-mlogloss:0.03566342654948433 [ Info: [44] train-mlogloss:0.03550707602873444 [ Info: [45] train-mlogloss:0.03539083988095323 [ Info: [46] train-mlogloss:0.03526596441864967 [ Info: [47] train-mlogloss:0.03515561008825898 [ Info: [48] train-mlogloss:0.03504450574517250 [ Info: [49] train-mlogloss:0.03488547453656793 [ Info: [50] train-mlogloss:0.03477482147514820 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55824412981669103 [ Info: [2] train-mlogloss:0.33727539459864297 [ Info: [3] train-mlogloss:0.22095748901367188 [ Info: [4] train-mlogloss:0.15165765861670177 [ Info: [5] train-mlogloss:0.11072295298178991 [ Info: [6] train-mlogloss:0.08523791422446569 [ Info: [7] train-mlogloss:0.06706807042161624 [ Info: [8] train-mlogloss:0.05564154659708341 [ Info: [9] train-mlogloss:0.04926872481902440 [ Info: [10] train-mlogloss:0.04438575963179271 [ Info: [11] train-mlogloss:0.04312484554946423 [ Info: [12] train-mlogloss:0.04224436037242413 [ Info: [13] train-mlogloss:0.04133355410148700 [ Info: [14] train-mlogloss:0.04078690300385157 [ Info: [15] train-mlogloss:0.04050077715267738 [ Info: [16] train-mlogloss:0.04024348732084036 [ Info: [17] train-mlogloss:0.03986633888135354 [ Info: [18] train-mlogloss:0.03960164008041223 [ Info: [19] train-mlogloss:0.03937550023198128 [ Info: [20] train-mlogloss:0.03905256822705269 [ Info: [21] train-mlogloss:0.03882959436625242 [ Info: [22] train-mlogloss:0.03861872268219789 [ Info: [23] train-mlogloss:0.03841505646705627 [ Info: [24] train-mlogloss:0.03814269845684370 [ Info: [25] train-mlogloss:0.03794506231943767 [ Info: [26] train-mlogloss:0.03776382698367040 [ Info: [27] train-mlogloss:0.03751320919642846 [ Info: [28] train-mlogloss:0.03733385878304640 [ Info: [29] train-mlogloss:0.03715128330513835 [ Info: [30] train-mlogloss:0.03698768863454461 [ Info: [31] train-mlogloss:0.03674481241653363 [ Info: [32] train-mlogloss:0.03657925652960936 [ Info: [33] train-mlogloss:0.03636097815508644 [ Info: [34] train-mlogloss:0.03619105904673536 [ Info: [35] train-mlogloss:0.03604018677646915 [ Info: [36] train-mlogloss:0.03590019951884945 [ Info: [37] train-mlogloss:0.03569530131295323 [ Info: [38] train-mlogloss:0.03554728204384446 [ Info: [39] train-mlogloss:0.03539346345389883 [ Info: [40] train-mlogloss:0.03521864222983519 [ Info: [41] train-mlogloss:0.03506384777526061 [ Info: [42] train-mlogloss:0.03493948041771849 [ Info: [43] train-mlogloss:0.03476891705145439 [ Info: [44] train-mlogloss:0.03463602762669325 [ Info: [45] train-mlogloss:0.03450056831662854 [ Info: [46] train-mlogloss:0.03434191033244133 [ Info: [47] train-mlogloss:0.03420802193383376 [ Info: [48] train-mlogloss:0.03408574223518371 [ Info: [49] train-mlogloss:0.03397361708804965 [ Info: [50] train-mlogloss:0.03381565299505989 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48048031846682232 [ Info: [2] train-mlogloss:0.27036056240399681 [ Info: [3] train-mlogloss:0.16669855137666068 [ Info: [4] train-mlogloss:0.11076243390639623 [ Info: [5] train-mlogloss:0.08033146351575851 [ Info: [6] train-mlogloss:0.06090260105828444 [ Info: [7] train-mlogloss:0.04956483103334904 [ Info: [8] train-mlogloss:0.04303256325423718 [ Info: [9] train-mlogloss:0.04105295599748691 [ Info: [10] train-mlogloss:0.03966945016135772 [ Info: [11] train-mlogloss:0.03878901343792677 [ Info: [12] train-mlogloss:0.03844622429460287 [ Info: [13] train-mlogloss:0.03816984817385673 [ Info: [14] train-mlogloss:0.03753086984157562 [ Info: [15] train-mlogloss:0.03724019171049198 [ Info: [16] train-mlogloss:0.03693018304804961 [ Info: [17] train-mlogloss:0.03665430293728908 [ Info: [18] train-mlogloss:0.03641493935137987 [ Info: [19] train-mlogloss:0.03612678383787473 [ Info: [20] train-mlogloss:0.03588041273256143 [ Info: [21] train-mlogloss:0.03563696888585886 [ Info: [22] train-mlogloss:0.03540786261359850 [ Info: [23] train-mlogloss:0.03521383913854758 [ Info: [24] train-mlogloss:0.03499800406396389 [ Info: [25] train-mlogloss:0.03476324602340659 [ Info: [26] train-mlogloss:0.03455477679769198 [ Info: [27] train-mlogloss:0.03437226901451747 [ Info: [28] train-mlogloss:0.03406596231584748 [ Info: [29] train-mlogloss:0.03387994563207030 [ Info: [30] train-mlogloss:0.03368736481294036 [ Info: [31] train-mlogloss:0.03348792004088560 [ Info: [32] train-mlogloss:0.03329764557381471 [ Info: [33] train-mlogloss:0.03313244639585416 [ Info: [34] train-mlogloss:0.03297444305693110 [ Info: [35] train-mlogloss:0.03278097599123915 [ Info: [36] train-mlogloss:0.03262166491399209 [ Info: [37] train-mlogloss:0.03246377124140660 [ Info: [38] train-mlogloss:0.03230416504666209 [ Info: [39] train-mlogloss:0.03215255285302798 [ Info: [40] train-mlogloss:0.03200918945173423 [ Info: [41] train-mlogloss:0.03183472128584981 [ Info: [42] train-mlogloss:0.03168430903926492 [ Info: [43] train-mlogloss:0.03153920581564307 [ Info: [44] train-mlogloss:0.03139704815422495 [ Info: [45] train-mlogloss:0.03124947382758061 [ Info: [46] train-mlogloss:0.03111360423887769 [ Info: [47] train-mlogloss:0.03097093240047494 [ Info: [48] train-mlogloss:0.03085641651724776 [ Info: [49] train-mlogloss:0.03071488590290149 [ Info: [50] train-mlogloss:0.03060238234077891 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96984613418579102 [ Info: [2] train-mlogloss:0.86115512927373250 [ Info: [3] train-mlogloss:0.76822764952977496 [ Info: [4] train-mlogloss:0.68799599806467693 [ Info: [5] train-mlogloss:0.61818924029668176 [ Info: [6] train-mlogloss:0.55707297722498572 [ Info: [7] train-mlogloss:0.50328948179880773 [ Info: [8] train-mlogloss:0.45539130250612897 [ Info: [9] train-mlogloss:0.41319114804267881 [ Info: [10] train-mlogloss:0.37564267873764040 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85073265234629314 [ Info: [2] train-mlogloss:0.67484283208847051 [ Info: [3] train-mlogloss:0.54390580336252847 [ Info: [4] train-mlogloss:0.44357813517252603 [ Info: [5] train-mlogloss:0.36440727710723875 [ Info: [6] train-mlogloss:0.30225831151008609 [ Info: [7] train-mlogloss:0.25193995376427969 [ Info: [8] train-mlogloss:0.20994978090127309 [ Info: [9] train-mlogloss:0.17831235806147258 [ Info: [10] train-mlogloss:0.15035393416881562 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74163754463195797 [ Info: [2] train-mlogloss:0.52933340946833296 [ Info: [3] train-mlogloss:0.38960877815882367 [ Info: [4] train-mlogloss:0.29178737799326576 [ Info: [5] train-mlogloss:0.22367621084054312 [ Info: [6] train-mlogloss:0.17111259122689565 [ Info: [7] train-mlogloss:0.13275582442680994 [ Info: [8] train-mlogloss:0.10490932951370875 [ Info: [9] train-mlogloss:0.08437295248111089 [ Info: [10] train-mlogloss:0.06881180197000504 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64272991259892787 [ Info: [2] train-mlogloss:0.41593488534291584 [ Info: [3] train-mlogloss:0.28069648504257200 [ Info: [4] train-mlogloss:0.19838692128658295 [ Info: [5] train-mlogloss:0.14005574534336726 [ Info: [6] train-mlogloss:0.10199575940767924 [ Info: [7] train-mlogloss:0.07663732523719470 [ Info: [8] train-mlogloss:0.05905229081710180 [ Info: [9] train-mlogloss:0.04718369161089261 [ Info: [10] train-mlogloss:0.03895166985690594 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55396795034408575 [ Info: [2] train-mlogloss:0.32759644389152526 [ Info: [3] train-mlogloss:0.20487505396207173 [ Info: [4] train-mlogloss:0.13160470118125281 [ Info: [5] train-mlogloss:0.08894736210505168 [ Info: [6] train-mlogloss:0.06447824458281200 [ Info: [7] train-mlogloss:0.04789815674225489 [ Info: [8] train-mlogloss:0.03790350154042244 [ Info: [9] train-mlogloss:0.03165839222570260 [ Info: [10] train-mlogloss:0.02718048365165790 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47510213375091553 [ Info: [2] train-mlogloss:0.25632186333338419 [ Info: [3] train-mlogloss:0.14660847485065459 [ Info: [4] train-mlogloss:0.09006659964720408 [ Info: [5] train-mlogloss:0.06146035790443420 [ Info: [6] train-mlogloss:0.04527364169557890 [ Info: [7] train-mlogloss:0.03482859775424003 [ Info: [8] train-mlogloss:0.02839667792121569 [ Info: [9] train-mlogloss:0.02632733133931955 [ Info: [10] train-mlogloss:0.02489269915968180 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96984613418579102 [ Info: [2] train-mlogloss:0.86115512927373250 [ Info: [3] train-mlogloss:0.76822764952977496 [ Info: [4] train-mlogloss:0.68799599806467693 [ Info: [5] train-mlogloss:0.61818924029668176 [ Info: [6] train-mlogloss:0.55707297722498572 [ Info: [7] train-mlogloss:0.50328948179880773 [ Info: [8] train-mlogloss:0.45539130250612897 [ Info: [9] train-mlogloss:0.41319114804267881 [ Info: [10] train-mlogloss:0.37564267873764040 [ Info: [11] train-mlogloss:0.34180266459782921 [ Info: [12] train-mlogloss:0.31148906826972961 [ Info: [13] train-mlogloss:0.28435586889584857 [ Info: [14] train-mlogloss:0.26077115217844643 [ Info: [15] train-mlogloss:0.23803988595803580 [ Info: [16] train-mlogloss:0.21878211836020151 [ Info: [17] train-mlogloss:0.20028715848922729 [ Info: [18] train-mlogloss:0.18362176517645518 [ Info: [19] train-mlogloss:0.16858673135439556 [ Info: [20] train-mlogloss:0.15616455316543579 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85073265234629314 [ Info: [2] train-mlogloss:0.67484283208847051 [ Info: [3] train-mlogloss:0.54390580336252847 [ Info: [4] train-mlogloss:0.44357813517252603 [ Info: [5] train-mlogloss:0.36440727710723875 [ Info: [6] train-mlogloss:0.30225831151008609 [ Info: [7] train-mlogloss:0.25193995376427969 [ Info: [8] train-mlogloss:0.20994978090127309 [ Info: [9] train-mlogloss:0.17831235806147258 [ Info: [10] train-mlogloss:0.15035393416881562 [ Info: [11] train-mlogloss:0.12754218488931657 [ Info: [12] train-mlogloss:0.10920006424188614 [ Info: [13] train-mlogloss:0.09429981937011082 [ Info: [14] train-mlogloss:0.08193120936552684 [ Info: [15] train-mlogloss:0.07162109643220901 [ Info: [16] train-mlogloss:0.06299025207757949 [ Info: [17] train-mlogloss:0.05608090514938036 [ Info: [18] train-mlogloss:0.05014326726396878 [ Info: [19] train-mlogloss:0.04528857866923015 [ Info: [20] train-mlogloss:0.04137183465063572 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74163754463195797 [ Info: [2] train-mlogloss:0.52933340946833296 [ Info: [3] train-mlogloss:0.38960877815882367 [ Info: [4] train-mlogloss:0.29178737799326576 [ Info: [5] train-mlogloss:0.22367621084054312 [ Info: [6] train-mlogloss:0.17111259122689565 [ Info: [7] train-mlogloss:0.13275582442680994 [ Info: [8] train-mlogloss:0.10490932951370875 [ Info: [9] train-mlogloss:0.08437295248111089 [ Info: [10] train-mlogloss:0.06881180197000504 [ Info: [11] train-mlogloss:0.05703682690858841 [ Info: [12] train-mlogloss:0.04814512093861898 [ Info: [13] train-mlogloss:0.04182329287131627 [ Info: [14] train-mlogloss:0.03671562244494756 [ Info: [15] train-mlogloss:0.03274146959185600 [ Info: [16] train-mlogloss:0.02981054740647475 [ Info: [17] train-mlogloss:0.02767054658383131 [ Info: [18] train-mlogloss:0.02666406235347191 [ Info: [19] train-mlogloss:0.02583028701444467 [ Info: [20] train-mlogloss:0.02511153367658456 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64272991259892787 [ Info: [2] train-mlogloss:0.41593488534291584 [ Info: [3] train-mlogloss:0.28069648504257200 [ Info: [4] train-mlogloss:0.19838692128658295 [ Info: [5] train-mlogloss:0.14005574534336726 [ Info: [6] train-mlogloss:0.10199575940767924 [ Info: [7] train-mlogloss:0.07663732523719470 [ Info: [8] train-mlogloss:0.05905229081710180 [ Info: [9] train-mlogloss:0.04718369161089261 [ Info: [10] train-mlogloss:0.03895166985690594 [ Info: [11] train-mlogloss:0.03298205109934012 [ Info: [12] train-mlogloss:0.02910734566549460 [ Info: [13] train-mlogloss:0.02761631702383359 [ Info: [14] train-mlogloss:0.02632065652559201 [ Info: [15] train-mlogloss:0.02535036190102498 [ Info: [16] train-mlogloss:0.02451417452345292 [ Info: [17] train-mlogloss:0.02379374250769615 [ Info: [18] train-mlogloss:0.02314353723078966 [ Info: [19] train-mlogloss:0.02253910314291716 [ Info: [20] train-mlogloss:0.02201889348526796 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55396795034408575 [ Info: [2] train-mlogloss:0.32759644389152526 [ Info: [3] train-mlogloss:0.20487505396207173 [ Info: [4] train-mlogloss:0.13160470118125281 [ Info: [5] train-mlogloss:0.08894736210505168 [ Info: [6] train-mlogloss:0.06447824458281200 [ Info: [7] train-mlogloss:0.04789815674225489 [ Info: [8] train-mlogloss:0.03790350154042244 [ Info: [9] train-mlogloss:0.03165839222570260 [ Info: [10] train-mlogloss:0.02718048365165790 [ Info: [11] train-mlogloss:0.02542697120457888 [ Info: [12] train-mlogloss:0.02432510513812304 [ Info: [13] train-mlogloss:0.02337643244614204 [ Info: [14] train-mlogloss:0.02256681142995755 [ Info: [15] train-mlogloss:0.02182031934460004 [ Info: [16] train-mlogloss:0.02120867852121592 [ Info: [17] train-mlogloss:0.02070761381958922 [ Info: [18] train-mlogloss:0.02026878964155912 [ Info: [19] train-mlogloss:0.02015458927800258 [ Info: [20] train-mlogloss:0.02006065548708041 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47510213375091553 [ Info: [2] train-mlogloss:0.25632186333338419 [ Info: [3] train-mlogloss:0.14660847485065459 [ Info: [4] train-mlogloss:0.09006659964720408 [ Info: [5] train-mlogloss:0.06146035790443420 [ Info: [6] train-mlogloss:0.04527364169557890 [ Info: [7] train-mlogloss:0.03482859775424003 [ Info: [8] train-mlogloss:0.02839667792121569 [ Info: [9] train-mlogloss:0.02632733133931955 [ Info: [10] train-mlogloss:0.02489269915968180 [ Info: [11] train-mlogloss:0.02377870333691438 [ Info: [12] train-mlogloss:0.02292248737066984 [ Info: [13] train-mlogloss:0.02219963092977802 [ Info: [14] train-mlogloss:0.02159224915007750 [ Info: [15] train-mlogloss:0.02108503809198737 [ Info: [16] train-mlogloss:0.02086502933874726 [ Info: [17] train-mlogloss:0.02067638184254368 [ Info: [18] train-mlogloss:0.02050505774716536 [ Info: [19] train-mlogloss:0.02035509537905454 [ Info: [20] train-mlogloss:0.02024333014463385 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96984613418579102 [ Info: [2] train-mlogloss:0.86115512927373250 [ Info: [3] train-mlogloss:0.76822764952977496 [ Info: [4] train-mlogloss:0.68799599806467693 [ Info: [5] train-mlogloss:0.61818924029668176 [ Info: [6] train-mlogloss:0.55707297722498572 [ Info: [7] train-mlogloss:0.50328948179880773 [ Info: [8] train-mlogloss:0.45539130250612897 [ Info: [9] train-mlogloss:0.41319114804267881 [ Info: [10] train-mlogloss:0.37564267873764040 [ Info: [11] train-mlogloss:0.34180266459782921 [ Info: [12] train-mlogloss:0.31148906826972961 [ Info: [13] train-mlogloss:0.28435586889584857 [ Info: [14] train-mlogloss:0.26077115217844643 [ Info: [15] train-mlogloss:0.23803988595803580 [ Info: [16] train-mlogloss:0.21878211836020151 [ Info: [17] train-mlogloss:0.20028715848922729 [ Info: [18] train-mlogloss:0.18362176517645518 [ Info: [19] train-mlogloss:0.16858673135439556 [ Info: [20] train-mlogloss:0.15616455316543579 [ Info: [21] train-mlogloss:0.14375343342622121 [ Info: [22] train-mlogloss:0.13256618638833365 [ Info: [23] train-mlogloss:0.12236486782630285 [ Info: [24] train-mlogloss:0.11333614240090052 [ Info: [25] train-mlogloss:0.10524762193361918 [ Info: [26] train-mlogloss:0.09788232137759527 [ Info: [27] train-mlogloss:0.09113229016462962 [ Info: [28] train-mlogloss:0.08500719904899597 [ Info: [29] train-mlogloss:0.07941301956772805 [ Info: [30] train-mlogloss:0.07429853335022926 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85073265234629314 [ Info: [2] train-mlogloss:0.67484283208847051 [ Info: [3] train-mlogloss:0.54390580336252847 [ Info: [4] train-mlogloss:0.44357813517252603 [ Info: [5] train-mlogloss:0.36440727710723875 [ Info: [6] train-mlogloss:0.30225831151008609 [ Info: [7] train-mlogloss:0.25193995376427969 [ Info: [8] train-mlogloss:0.20994978090127309 [ Info: [9] train-mlogloss:0.17831235806147258 [ Info: [10] train-mlogloss:0.15035393416881562 [ Info: [11] train-mlogloss:0.12754218488931657 [ Info: [12] train-mlogloss:0.10920006424188614 [ Info: [13] train-mlogloss:0.09429981937011082 [ Info: [14] train-mlogloss:0.08193120936552684 [ Info: [15] train-mlogloss:0.07162109643220901 [ Info: [16] train-mlogloss:0.06299025207757949 [ Info: [17] train-mlogloss:0.05608090514938036 [ Info: [18] train-mlogloss:0.05014326726396878 [ Info: [19] train-mlogloss:0.04528857866923015 [ Info: [20] train-mlogloss:0.04137183465063572 [ Info: [21] train-mlogloss:0.03796136513352394 [ Info: [22] train-mlogloss:0.03510367142657439 [ Info: [23] train-mlogloss:0.03273633882403373 [ Info: [24] train-mlogloss:0.03075760483741760 [ Info: [25] train-mlogloss:0.02913507995506128 [ Info: [26] train-mlogloss:0.02838829224308332 [ Info: [27] train-mlogloss:0.02762295182794332 [ Info: [28] train-mlogloss:0.02697029825299978 [ Info: [29] train-mlogloss:0.02634692953278621 [ Info: [30] train-mlogloss:0.02582541157801946 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74163754463195797 [ Info: [2] train-mlogloss:0.52933340946833296 [ Info: [3] train-mlogloss:0.38960877815882367 [ Info: [4] train-mlogloss:0.29178737799326576 [ Info: [5] train-mlogloss:0.22367621084054312 [ Info: [6] train-mlogloss:0.17111259122689565 [ Info: [7] train-mlogloss:0.13275582442680994 [ Info: [8] train-mlogloss:0.10490932951370875 [ Info: [9] train-mlogloss:0.08437295248111089 [ Info: [10] train-mlogloss:0.06881180197000504 [ Info: [11] train-mlogloss:0.05703682690858841 [ Info: [12] train-mlogloss:0.04814512093861898 [ Info: [13] train-mlogloss:0.04182329287131627 [ Info: [14] train-mlogloss:0.03671562244494756 [ Info: [15] train-mlogloss:0.03274146959185600 [ Info: [16] train-mlogloss:0.02981054740647475 [ Info: [17] train-mlogloss:0.02767054658383131 [ Info: [18] train-mlogloss:0.02666406235347191 [ Info: [19] train-mlogloss:0.02583028701444467 [ Info: [20] train-mlogloss:0.02511153367658456 [ Info: [21] train-mlogloss:0.02447375313689311 [ Info: [22] train-mlogloss:0.02390147974093755 [ Info: [23] train-mlogloss:0.02340081912775835 [ Info: [24] train-mlogloss:0.02290949168304602 [ Info: [25] train-mlogloss:0.02247010798503955 [ Info: [26] train-mlogloss:0.02207884300500155 [ Info: [27] train-mlogloss:0.02172948290904363 [ Info: [28] train-mlogloss:0.02141429211323460 [ Info: [29] train-mlogloss:0.02133411752060056 [ Info: [30] train-mlogloss:0.02125417392080029 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64272991259892787 [ Info: [2] train-mlogloss:0.41593488534291584 [ Info: [3] train-mlogloss:0.28069648504257200 [ Info: [4] train-mlogloss:0.19838692128658295 [ Info: [5] train-mlogloss:0.14005574534336726 [ Info: [6] train-mlogloss:0.10199575940767924 [ Info: [7] train-mlogloss:0.07663732523719470 [ Info: [8] train-mlogloss:0.05905229081710180 [ Info: [9] train-mlogloss:0.04718369161089261 [ Info: [10] train-mlogloss:0.03895166985690594 [ Info: [11] train-mlogloss:0.03298205109934012 [ Info: [12] train-mlogloss:0.02910734566549460 [ Info: [13] train-mlogloss:0.02761631702383359 [ Info: [14] train-mlogloss:0.02632065652559201 [ Info: [15] train-mlogloss:0.02535036190102498 [ Info: [16] train-mlogloss:0.02451417452345292 [ Info: [17] train-mlogloss:0.02379374250769615 [ Info: [18] train-mlogloss:0.02314353723078966 [ Info: [19] train-mlogloss:0.02253910314291716 [ Info: [20] train-mlogloss:0.02201889348526796 [ Info: [21] train-mlogloss:0.02157168212657173 [ Info: [22] train-mlogloss:0.02146555927892526 [ Info: [23] train-mlogloss:0.02137010263279080 [ Info: [24] train-mlogloss:0.02127988153447707 [ Info: [25] train-mlogloss:0.02090183289100726 [ Info: [26] train-mlogloss:0.02082548854251703 [ Info: [27] train-mlogloss:0.02075319693113367 [ Info: [28] train-mlogloss:0.02068969660749038 [ Info: [29] train-mlogloss:0.02063627674554785 [ Info: [30] train-mlogloss:0.02059048801039656 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55396795034408575 [ Info: [2] train-mlogloss:0.32759644389152526 [ Info: [3] train-mlogloss:0.20487505396207173 [ Info: [4] train-mlogloss:0.13160470118125281 [ Info: [5] train-mlogloss:0.08894736210505168 [ Info: [6] train-mlogloss:0.06447824458281200 [ Info: [7] train-mlogloss:0.04789815674225489 [ Info: [8] train-mlogloss:0.03790350154042244 [ Info: [9] train-mlogloss:0.03165839222570260 [ Info: [10] train-mlogloss:0.02718048365165790 [ Info: [11] train-mlogloss:0.02542697120457888 [ Info: [12] train-mlogloss:0.02432510513812304 [ Info: [13] train-mlogloss:0.02337643244614204 [ Info: [14] train-mlogloss:0.02256681142995755 [ Info: [15] train-mlogloss:0.02182031934460004 [ Info: [16] train-mlogloss:0.02120867852121592 [ Info: [17] train-mlogloss:0.02070761381958922 [ Info: [18] train-mlogloss:0.02026878964155912 [ Info: [19] train-mlogloss:0.02015458927800258 [ Info: [20] train-mlogloss:0.02006065548708041 [ Info: [21] train-mlogloss:0.01998511032511791 [ Info: [22] train-mlogloss:0.01992210869987806 [ Info: [23] train-mlogloss:0.01987109287331502 [ Info: [24] train-mlogloss:0.01981904926399390 [ Info: [25] train-mlogloss:0.01977270826076468 [ Info: [26] train-mlogloss:0.01973181334634622 [ Info: [27] train-mlogloss:0.01968920543168982 [ Info: [28] train-mlogloss:0.01965589083731174 [ Info: [29] train-mlogloss:0.01962953253959616 [ Info: [30] train-mlogloss:0.01960845946023862 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47510213375091553 [ Info: [2] train-mlogloss:0.25632186333338419 [ Info: [3] train-mlogloss:0.14660847485065459 [ Info: [4] train-mlogloss:0.09006659964720408 [ Info: [5] train-mlogloss:0.06146035790443420 [ Info: [6] train-mlogloss:0.04527364169557890 [ Info: [7] train-mlogloss:0.03482859775424003 [ Info: [8] train-mlogloss:0.02839667792121569 [ Info: [9] train-mlogloss:0.02632733133931955 [ Info: [10] train-mlogloss:0.02489269915968180 [ Info: [11] train-mlogloss:0.02377870333691438 [ Info: [12] train-mlogloss:0.02292248737066984 [ Info: [13] train-mlogloss:0.02219963092977802 [ Info: [14] train-mlogloss:0.02159224915007750 [ Info: [15] train-mlogloss:0.02108503809198737 [ Info: [16] train-mlogloss:0.02086502933874726 [ Info: [17] train-mlogloss:0.02067638184254368 [ Info: [18] train-mlogloss:0.02050505774716536 [ Info: [19] train-mlogloss:0.02035509537905454 [ Info: [20] train-mlogloss:0.02024333014463385 [ Info: [21] train-mlogloss:0.02015785334631801 [ Info: [22] train-mlogloss:0.02009000970671574 [ Info: [23] train-mlogloss:0.02003725343073408 [ Info: [24] train-mlogloss:0.01999573164309065 [ Info: [25] train-mlogloss:0.01996284128477176 [ Info: [26] train-mlogloss:0.01993635391195615 [ Info: [27] train-mlogloss:0.01990609173973401 [ Info: [28] train-mlogloss:0.01988321740801136 [ Info: [29] train-mlogloss:0.01985659217461944 [ Info: [30] train-mlogloss:0.01983394638945659 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96984613418579102 [ Info: [2] train-mlogloss:0.86115512927373250 [ Info: [3] train-mlogloss:0.76822764952977496 [ Info: [4] train-mlogloss:0.68799599806467693 [ Info: [5] train-mlogloss:0.61818924029668176 [ Info: [6] train-mlogloss:0.55707297722498572 [ Info: [7] train-mlogloss:0.50328948179880773 [ Info: [8] train-mlogloss:0.45539130250612897 [ Info: [9] train-mlogloss:0.41319114804267881 [ Info: [10] train-mlogloss:0.37564267873764040 [ Info: [11] train-mlogloss:0.34180266459782921 [ Info: [12] train-mlogloss:0.31148906826972961 [ Info: [13] train-mlogloss:0.28435586889584857 [ Info: [14] train-mlogloss:0.26077115217844643 [ Info: [15] train-mlogloss:0.23803988595803580 [ Info: [16] train-mlogloss:0.21878211836020151 [ Info: [17] train-mlogloss:0.20028715848922729 [ Info: [18] train-mlogloss:0.18362176517645518 [ Info: [19] train-mlogloss:0.16858673135439556 [ Info: [20] train-mlogloss:0.15616455316543579 [ Info: [21] train-mlogloss:0.14375343342622121 [ Info: [22] train-mlogloss:0.13256618638833365 [ Info: [23] train-mlogloss:0.12236486782630285 [ Info: [24] train-mlogloss:0.11333614240090052 [ Info: [25] train-mlogloss:0.10524762193361918 [ Info: [26] train-mlogloss:0.09788232137759527 [ Info: [27] train-mlogloss:0.09113229016462962 [ Info: [28] train-mlogloss:0.08500719904899597 [ Info: [29] train-mlogloss:0.07941301956772805 [ Info: [30] train-mlogloss:0.07429853335022926 [ Info: [31] train-mlogloss:0.06961774076024692 [ Info: [32] train-mlogloss:0.06532928134004275 [ Info: [33] train-mlogloss:0.06158058399955432 [ Info: [34] train-mlogloss:0.05813705459237099 [ Info: [35] train-mlogloss:0.05495658690730731 [ Info: [36] train-mlogloss:0.05207226564486821 [ Info: [37] train-mlogloss:0.04941079532106717 [ Info: [38] train-mlogloss:0.04699666952093443 [ Info: [39] train-mlogloss:0.04479537164171537 [ Info: [40] train-mlogloss:0.04283064695696036 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85073265234629314 [ Info: [2] train-mlogloss:0.67484283208847051 [ Info: [3] train-mlogloss:0.54390580336252847 [ Info: [4] train-mlogloss:0.44357813517252603 [ Info: [5] train-mlogloss:0.36440727710723875 [ Info: [6] train-mlogloss:0.30225831151008609 [ Info: [7] train-mlogloss:0.25193995376427969 [ Info: [8] train-mlogloss:0.20994978090127309 [ Info: [9] train-mlogloss:0.17831235806147258 [ Info: [10] train-mlogloss:0.15035393416881562 [ Info: [11] train-mlogloss:0.12754218488931657 [ Info: [12] train-mlogloss:0.10920006424188614 [ Info: [13] train-mlogloss:0.09429981937011082 [ Info: [14] train-mlogloss:0.08193120936552684 [ Info: [15] train-mlogloss:0.07162109643220901 [ Info: [16] train-mlogloss:0.06299025207757949 [ Info: [17] train-mlogloss:0.05608090514938036 [ Info: [18] train-mlogloss:0.05014326726396878 [ Info: [19] train-mlogloss:0.04528857866923015 [ Info: [20] train-mlogloss:0.04137183465063572 [ Info: [21] train-mlogloss:0.03796136513352394 [ Info: [22] train-mlogloss:0.03510367142657439 [ Info: [23] train-mlogloss:0.03273633882403373 [ Info: [24] train-mlogloss:0.03075760483741760 [ Info: [25] train-mlogloss:0.02913507995506128 [ Info: [26] train-mlogloss:0.02838829224308332 [ Info: [27] train-mlogloss:0.02762295182794332 [ Info: [28] train-mlogloss:0.02697029825299978 [ Info: [29] train-mlogloss:0.02634692953278621 [ Info: [30] train-mlogloss:0.02582541157801946 [ Info: [31] train-mlogloss:0.02535761511574189 [ Info: [32] train-mlogloss:0.02493132910380761 [ Info: [33] train-mlogloss:0.02452830550571283 [ Info: [34] train-mlogloss:0.02416469480842352 [ Info: [35] train-mlogloss:0.02381251497815053 [ Info: [36] train-mlogloss:0.02347576979547739 [ Info: [37] train-mlogloss:0.02315631913642089 [ Info: [38] train-mlogloss:0.02285503008713325 [ Info: [39] train-mlogloss:0.02256155519435803 [ Info: [40] train-mlogloss:0.02228857827683290 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74163754463195797 [ Info: [2] train-mlogloss:0.52933340946833296 [ Info: [3] train-mlogloss:0.38960877815882367 [ Info: [4] train-mlogloss:0.29178737799326576 [ Info: [5] train-mlogloss:0.22367621084054312 [ Info: [6] train-mlogloss:0.17111259122689565 [ Info: [7] train-mlogloss:0.13275582442680994 [ Info: [8] train-mlogloss:0.10490932951370875 [ Info: [9] train-mlogloss:0.08437295248111089 [ Info: [10] train-mlogloss:0.06881180197000504 [ Info: [11] train-mlogloss:0.05703682690858841 [ Info: [12] train-mlogloss:0.04814512093861898 [ Info: [13] train-mlogloss:0.04182329287131627 [ Info: [14] train-mlogloss:0.03671562244494756 [ Info: [15] train-mlogloss:0.03274146959185600 [ Info: [16] train-mlogloss:0.02981054740647475 [ Info: [17] train-mlogloss:0.02767054658383131 [ Info: [18] train-mlogloss:0.02666406235347191 [ Info: [19] train-mlogloss:0.02583028701444467 [ Info: [20] train-mlogloss:0.02511153367658456 [ Info: [21] train-mlogloss:0.02447375313689311 [ Info: [22] train-mlogloss:0.02390147974093755 [ Info: [23] train-mlogloss:0.02340081912775835 [ Info: [24] train-mlogloss:0.02290949168304602 [ Info: [25] train-mlogloss:0.02247010798503955 [ Info: [26] train-mlogloss:0.02207884300500155 [ Info: [27] train-mlogloss:0.02172948290904363 [ Info: [28] train-mlogloss:0.02141429211323460 [ Info: [29] train-mlogloss:0.02133411752060056 [ Info: [30] train-mlogloss:0.02125417392080029 [ Info: [31] train-mlogloss:0.02117993975058198 [ Info: [32] train-mlogloss:0.02110962850973010 [ Info: [33] train-mlogloss:0.02104110344623526 [ Info: [34] train-mlogloss:0.02097779888659716 [ Info: [35] train-mlogloss:0.02091602295016249 [ Info: [36] train-mlogloss:0.02064279688522220 [ Info: [37] train-mlogloss:0.02059023818622033 [ Info: [38] train-mlogloss:0.02053958070153991 [ Info: [39] train-mlogloss:0.02048721231520176 [ Info: [40] train-mlogloss:0.02044347087542216 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64272991259892787 [ Info: [2] train-mlogloss:0.41593488534291584 [ Info: [3] train-mlogloss:0.28069648504257200 [ Info: [4] train-mlogloss:0.19838692128658295 [ Info: [5] train-mlogloss:0.14005574534336726 [ Info: [6] train-mlogloss:0.10199575940767924 [ Info: [7] train-mlogloss:0.07663732523719470 [ Info: [8] train-mlogloss:0.05905229081710180 [ Info: [9] train-mlogloss:0.04718369161089261 [ Info: [10] train-mlogloss:0.03895166985690594 [ Info: [11] train-mlogloss:0.03298205109934012 [ Info: [12] train-mlogloss:0.02910734566549460 [ Info: [13] train-mlogloss:0.02761631702383359 [ Info: [14] train-mlogloss:0.02632065652559201 [ Info: [15] train-mlogloss:0.02535036190102498 [ Info: [16] train-mlogloss:0.02451417452345292 [ Info: [17] train-mlogloss:0.02379374250769615 [ Info: [18] train-mlogloss:0.02314353723078966 [ Info: [19] train-mlogloss:0.02253910314291716 [ Info: [20] train-mlogloss:0.02201889348526796 [ Info: [21] train-mlogloss:0.02157168212657173 [ Info: [22] train-mlogloss:0.02146555927892526 [ Info: [23] train-mlogloss:0.02137010263279080 [ Info: [24] train-mlogloss:0.02127988153447707 [ Info: [25] train-mlogloss:0.02090183289100726 [ Info: [26] train-mlogloss:0.02082548854251703 [ Info: [27] train-mlogloss:0.02075319693113367 [ Info: [28] train-mlogloss:0.02068969660749038 [ Info: [29] train-mlogloss:0.02063627674554785 [ Info: [30] train-mlogloss:0.02059048801039656 [ Info: [31] train-mlogloss:0.02026705188676715 [ Info: [32] train-mlogloss:0.02021612872680028 [ Info: [33] train-mlogloss:0.02017360137775540 [ Info: [34] train-mlogloss:0.02013792597378294 [ Info: [35] train-mlogloss:0.02010309350987275 [ Info: [36] train-mlogloss:0.02006966859102249 [ Info: [37] train-mlogloss:0.02004038566723466 [ Info: [38] train-mlogloss:0.02000907978042960 [ Info: [39] train-mlogloss:0.01998314289376140 [ Info: [40] train-mlogloss:0.01996161362156272 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55396795034408575 [ Info: [2] train-mlogloss:0.32759644389152526 [ Info: [3] train-mlogloss:0.20487505396207173 [ Info: [4] train-mlogloss:0.13160470118125281 [ Info: [5] train-mlogloss:0.08894736210505168 [ Info: [6] train-mlogloss:0.06447824458281200 [ Info: [7] train-mlogloss:0.04789815674225489 [ Info: [8] train-mlogloss:0.03790350154042244 [ Info: [9] train-mlogloss:0.03165839222570260 [ Info: [10] train-mlogloss:0.02718048365165790 [ Info: [11] train-mlogloss:0.02542697120457888 [ Info: [12] train-mlogloss:0.02432510513812304 [ Info: [13] train-mlogloss:0.02337643244614204 [ Info: [14] train-mlogloss:0.02256681142995755 [ Info: [15] train-mlogloss:0.02182031934460004 [ Info: [16] train-mlogloss:0.02120867852121592 [ Info: [17] train-mlogloss:0.02070761381958922 [ Info: [18] train-mlogloss:0.02026878964155912 [ Info: [19] train-mlogloss:0.02015458927800258 [ Info: [20] train-mlogloss:0.02006065548708041 [ Info: [21] train-mlogloss:0.01998511032511791 [ Info: [22] train-mlogloss:0.01992210869987806 [ Info: [23] train-mlogloss:0.01987109287331502 [ Info: [24] train-mlogloss:0.01981904926399390 [ Info: [25] train-mlogloss:0.01977270826076468 [ Info: [26] train-mlogloss:0.01973181334634622 [ Info: [27] train-mlogloss:0.01968920543168982 [ Info: [28] train-mlogloss:0.01965589083731174 [ Info: [29] train-mlogloss:0.01962953253959616 [ Info: [30] train-mlogloss:0.01960845946023862 [ Info: [31] train-mlogloss:0.01958722220112880 [ Info: [32] train-mlogloss:0.01956674645344416 [ Info: [33] train-mlogloss:0.01954821052650611 [ Info: [34] train-mlogloss:0.01952837049340208 [ Info: [35] train-mlogloss:0.01951138741647204 [ Info: [36] train-mlogloss:0.01949235443646709 [ Info: [37] train-mlogloss:0.01947639872009556 [ Info: [38] train-mlogloss:0.01945826333637039 [ Info: [39] train-mlogloss:0.01944309828182061 [ Info: [40] train-mlogloss:0.01942582483092944 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47510213375091553 [ Info: [2] train-mlogloss:0.25632186333338419 [ Info: [3] train-mlogloss:0.14660847485065459 [ Info: [4] train-mlogloss:0.09006659964720408 [ Info: [5] train-mlogloss:0.06146035790443420 [ Info: [6] train-mlogloss:0.04527364169557890 [ Info: [7] train-mlogloss:0.03482859775424003 [ Info: [8] train-mlogloss:0.02839667792121569 [ Info: [9] train-mlogloss:0.02632733133931955 [ Info: [10] train-mlogloss:0.02489269915968180 [ Info: [11] train-mlogloss:0.02377870333691438 [ Info: [12] train-mlogloss:0.02292248737066984 [ Info: [13] train-mlogloss:0.02219963092977802 [ Info: [14] train-mlogloss:0.02159224915007750 [ Info: [15] train-mlogloss:0.02108503809198737 [ Info: [16] train-mlogloss:0.02086502933874726 [ Info: [17] train-mlogloss:0.02067638184254368 [ Info: [18] train-mlogloss:0.02050505774716536 [ Info: [19] train-mlogloss:0.02035509537905454 [ Info: [20] train-mlogloss:0.02024333014463385 [ Info: [21] train-mlogloss:0.02015785334631801 [ Info: [22] train-mlogloss:0.02009000970671574 [ Info: [23] train-mlogloss:0.02003725343073408 [ Info: [24] train-mlogloss:0.01999573164309065 [ Info: [25] train-mlogloss:0.01996284128477176 [ Info: [26] train-mlogloss:0.01993635391195615 [ Info: [27] train-mlogloss:0.01990609173973401 [ Info: [28] train-mlogloss:0.01988321740801136 [ Info: [29] train-mlogloss:0.01985659217461944 [ Info: [30] train-mlogloss:0.01983394638945659 [ Info: [31] train-mlogloss:0.01981113803262512 [ Info: [32] train-mlogloss:0.01978898368154963 [ Info: [33] train-mlogloss:0.01976832451298833 [ Info: [34] train-mlogloss:0.01974707710246245 [ Info: [35] train-mlogloss:0.01972783183678985 [ Info: [36] train-mlogloss:0.01970741419121623 [ Info: [37] train-mlogloss:0.01968926209956407 [ Info: [38] train-mlogloss:0.01966998485227426 [ Info: [39] train-mlogloss:0.01965266649921735 [ Info: [40] train-mlogloss:0.01963431324809790 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.96984613418579102 [ Info: [2] train-mlogloss:0.86115512927373250 [ Info: [3] train-mlogloss:0.76822764952977496 [ Info: [4] train-mlogloss:0.68799599806467693 [ Info: [5] train-mlogloss:0.61818924029668176 [ Info: [6] train-mlogloss:0.55707297722498572 [ Info: [7] train-mlogloss:0.50328948179880773 [ Info: [8] train-mlogloss:0.45539130250612897 [ Info: [9] train-mlogloss:0.41319114804267881 [ Info: [10] train-mlogloss:0.37564267873764040 [ Info: [11] train-mlogloss:0.34180266459782921 [ Info: [12] train-mlogloss:0.31148906826972961 [ Info: [13] train-mlogloss:0.28435586889584857 [ Info: [14] train-mlogloss:0.26077115217844643 [ Info: [15] train-mlogloss:0.23803988595803580 [ Info: [16] train-mlogloss:0.21878211836020151 [ Info: [17] train-mlogloss:0.20028715848922729 [ Info: [18] train-mlogloss:0.18362176517645518 [ Info: [19] train-mlogloss:0.16858673135439556 [ Info: [20] train-mlogloss:0.15616455316543579 [ Info: [21] train-mlogloss:0.14375343342622121 [ Info: [22] train-mlogloss:0.13256618638833365 [ Info: [23] train-mlogloss:0.12236486782630285 [ Info: [24] train-mlogloss:0.11333614240090052 [ Info: [25] train-mlogloss:0.10524762193361918 [ Info: [26] train-mlogloss:0.09788232137759527 [ Info: [27] train-mlogloss:0.09113229016462962 [ Info: [28] train-mlogloss:0.08500719904899597 [ Info: [29] train-mlogloss:0.07941301956772805 [ Info: [30] train-mlogloss:0.07429853335022926 [ Info: [31] train-mlogloss:0.06961774076024692 [ Info: [32] train-mlogloss:0.06532928134004275 [ Info: [33] train-mlogloss:0.06158058399955432 [ Info: [34] train-mlogloss:0.05813705459237099 [ Info: [35] train-mlogloss:0.05495658690730731 [ Info: [36] train-mlogloss:0.05207226564486821 [ Info: [37] train-mlogloss:0.04941079532106717 [ Info: [38] train-mlogloss:0.04699666952093443 [ Info: [39] train-mlogloss:0.04479537164171537 [ Info: [40] train-mlogloss:0.04283064695696036 [ Info: [41] train-mlogloss:0.04105807239810626 [ Info: [42] train-mlogloss:0.03934432238340378 [ Info: [43] train-mlogloss:0.03782652114828428 [ Info: [44] train-mlogloss:0.03641528005401293 [ Info: [45] train-mlogloss:0.03509820724527041 [ Info: [46] train-mlogloss:0.03392578266561031 [ Info: [47] train-mlogloss:0.03285040830572446 [ Info: [48] train-mlogloss:0.03185595480104288 [ Info: [49] train-mlogloss:0.03096171359221141 [ Info: [50] train-mlogloss:0.03013197595874469 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85073265234629314 [ Info: [2] train-mlogloss:0.67484283208847051 [ Info: [3] train-mlogloss:0.54390580336252847 [ Info: [4] train-mlogloss:0.44357813517252603 [ Info: [5] train-mlogloss:0.36440727710723875 [ Info: [6] train-mlogloss:0.30225831151008609 [ Info: [7] train-mlogloss:0.25193995376427969 [ Info: [8] train-mlogloss:0.20994978090127309 [ Info: [9] train-mlogloss:0.17831235806147258 [ Info: [10] train-mlogloss:0.15035393416881562 [ Info: [11] train-mlogloss:0.12754218488931657 [ Info: [12] train-mlogloss:0.10920006424188614 [ Info: [13] train-mlogloss:0.09429981937011082 [ Info: [14] train-mlogloss:0.08193120936552684 [ Info: [15] train-mlogloss:0.07162109643220901 [ Info: [16] train-mlogloss:0.06299025207757949 [ Info: [17] train-mlogloss:0.05608090514938036 [ Info: [18] train-mlogloss:0.05014326726396878 [ Info: [19] train-mlogloss:0.04528857866923015 [ Info: [20] train-mlogloss:0.04137183465063572 [ Info: [21] train-mlogloss:0.03796136513352394 [ Info: [22] train-mlogloss:0.03510367142657439 [ Info: [23] train-mlogloss:0.03273633882403373 [ Info: [24] train-mlogloss:0.03075760483741760 [ Info: [25] train-mlogloss:0.02913507995506128 [ Info: [26] train-mlogloss:0.02838829224308332 [ Info: [27] train-mlogloss:0.02762295182794332 [ Info: [28] train-mlogloss:0.02697029825299978 [ Info: [29] train-mlogloss:0.02634692953278621 [ Info: [30] train-mlogloss:0.02582541157801946 [ Info: [31] train-mlogloss:0.02535761511574189 [ Info: [32] train-mlogloss:0.02493132910380761 [ Info: [33] train-mlogloss:0.02452830550571283 [ Info: [34] train-mlogloss:0.02416469480842352 [ Info: [35] train-mlogloss:0.02381251497815053 [ Info: [36] train-mlogloss:0.02347576979547739 [ Info: [37] train-mlogloss:0.02315631913642089 [ Info: [38] train-mlogloss:0.02285503008713325 [ Info: [39] train-mlogloss:0.02256155519435803 [ Info: [40] train-mlogloss:0.02228857827683290 [ Info: [41] train-mlogloss:0.02203575295706590 [ Info: [42] train-mlogloss:0.02180130915095409 [ Info: [43] train-mlogloss:0.02158361518134673 [ Info: [44] train-mlogloss:0.02138051680599650 [ Info: [45] train-mlogloss:0.02132766948391994 [ Info: [46] train-mlogloss:0.02127742501596610 [ Info: [47] train-mlogloss:0.02122880457590024 [ Info: [48] train-mlogloss:0.02118114603683352 [ Info: [49] train-mlogloss:0.02099470579375823 [ Info: [50] train-mlogloss:0.02095242420211434 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74163754463195797 [ Info: [2] train-mlogloss:0.52933340946833296 [ Info: [3] train-mlogloss:0.38960877815882367 [ Info: [4] train-mlogloss:0.29178737799326576 [ Info: [5] train-mlogloss:0.22367621084054312 [ Info: [6] train-mlogloss:0.17111259122689565 [ Info: [7] train-mlogloss:0.13275582442680994 [ Info: [8] train-mlogloss:0.10490932951370875 [ Info: [9] train-mlogloss:0.08437295248111089 [ Info: [10] train-mlogloss:0.06881180197000504 [ Info: [11] train-mlogloss:0.05703682690858841 [ Info: [12] train-mlogloss:0.04814512093861898 [ Info: [13] train-mlogloss:0.04182329287131627 [ Info: [14] train-mlogloss:0.03671562244494756 [ Info: [15] train-mlogloss:0.03274146959185600 [ Info: [16] train-mlogloss:0.02981054740647475 [ Info: [17] train-mlogloss:0.02767054658383131 [ Info: [18] train-mlogloss:0.02666406235347191 [ Info: [19] train-mlogloss:0.02583028701444467 [ Info: [20] train-mlogloss:0.02511153367658456 [ Info: [21] train-mlogloss:0.02447375313689311 [ Info: [22] train-mlogloss:0.02390147974093755 [ Info: [23] train-mlogloss:0.02340081912775835 [ Info: [24] train-mlogloss:0.02290949168304602 [ Info: [25] train-mlogloss:0.02247010798503955 [ Info: [26] train-mlogloss:0.02207884300500155 [ Info: [27] train-mlogloss:0.02172948290904363 [ Info: [28] train-mlogloss:0.02141429211323460 [ Info: [29] train-mlogloss:0.02133411752060056 [ Info: [30] train-mlogloss:0.02125417392080029 [ Info: [31] train-mlogloss:0.02117993975058198 [ Info: [32] train-mlogloss:0.02110962850973010 [ Info: [33] train-mlogloss:0.02104110344623526 [ Info: [34] train-mlogloss:0.02097779888659716 [ Info: [35] train-mlogloss:0.02091602295016249 [ Info: [36] train-mlogloss:0.02064279688522220 [ Info: [37] train-mlogloss:0.02059023818622033 [ Info: [38] train-mlogloss:0.02053958070153991 [ Info: [39] train-mlogloss:0.02048721231520176 [ Info: [40] train-mlogloss:0.02044347087542216 [ Info: [41] train-mlogloss:0.02019800804555416 [ Info: [42] train-mlogloss:0.02015620275711020 [ Info: [43] train-mlogloss:0.02011855209867160 [ Info: [44] train-mlogloss:0.02008540463323395 [ Info: [45] train-mlogloss:0.02005564584707220 [ Info: [46] train-mlogloss:0.02002918260172009 [ Info: [47] train-mlogloss:0.02000565185522040 [ Info: [48] train-mlogloss:0.01998450893287857 [ Info: [49] train-mlogloss:0.01996581076954802 [ Info: [50] train-mlogloss:0.01994891822338104 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64272991259892787 [ Info: [2] train-mlogloss:0.41593488534291584 [ Info: [3] train-mlogloss:0.28069648504257200 [ Info: [4] train-mlogloss:0.19838692128658295 [ Info: [5] train-mlogloss:0.14005574534336726 [ Info: [6] train-mlogloss:0.10199575940767924 [ Info: [7] train-mlogloss:0.07663732523719470 [ Info: [8] train-mlogloss:0.05905229081710180 [ Info: [9] train-mlogloss:0.04718369161089261 [ Info: [10] train-mlogloss:0.03895166985690594 [ Info: [11] train-mlogloss:0.03298205109934012 [ Info: [12] train-mlogloss:0.02910734566549460 [ Info: [13] train-mlogloss:0.02761631702383359 [ Info: [14] train-mlogloss:0.02632065652559201 [ Info: [15] train-mlogloss:0.02535036190102498 [ Info: [16] train-mlogloss:0.02451417452345292 [ Info: [17] train-mlogloss:0.02379374250769615 [ Info: [18] train-mlogloss:0.02314353723078966 [ Info: [19] train-mlogloss:0.02253910314291716 [ Info: [20] train-mlogloss:0.02201889348526796 [ Info: [21] train-mlogloss:0.02157168212657173 [ Info: [22] train-mlogloss:0.02146555927892526 [ Info: [23] train-mlogloss:0.02137010263279080 [ Info: [24] train-mlogloss:0.02127988153447707 [ Info: [25] train-mlogloss:0.02090183289100726 [ Info: [26] train-mlogloss:0.02082548854251703 [ Info: [27] train-mlogloss:0.02075319693113367 [ Info: [28] train-mlogloss:0.02068969660749038 [ Info: [29] train-mlogloss:0.02063627674554785 [ Info: [30] train-mlogloss:0.02059048801039656 [ Info: [31] train-mlogloss:0.02026705188676715 [ Info: [32] train-mlogloss:0.02021612872680028 [ Info: [33] train-mlogloss:0.02017360137775540 [ Info: [34] train-mlogloss:0.02013792597378294 [ Info: [35] train-mlogloss:0.02010309350987275 [ Info: [36] train-mlogloss:0.02006966859102249 [ Info: [37] train-mlogloss:0.02004038566723466 [ Info: [38] train-mlogloss:0.02000907978042960 [ Info: [39] train-mlogloss:0.01998314289376140 [ Info: [40] train-mlogloss:0.01996161362156272 [ Info: [41] train-mlogloss:0.01994356788694859 [ Info: [42] train-mlogloss:0.01992466276511550 [ Info: [43] train-mlogloss:0.01990691910187403 [ Info: [44] train-mlogloss:0.01988989925011992 [ Info: [45] train-mlogloss:0.01987254322816928 [ Info: [46] train-mlogloss:0.01985687106847763 [ Info: [47] train-mlogloss:0.01983987805744012 [ Info: [48] train-mlogloss:0.01982509832208355 [ Info: [49] train-mlogloss:0.01980872329324484 [ Info: [50] train-mlogloss:0.01979459653918942 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55396795034408575 [ Info: [2] train-mlogloss:0.32759644389152526 [ Info: [3] train-mlogloss:0.20487505396207173 [ Info: [4] train-mlogloss:0.13160470118125281 [ Info: [5] train-mlogloss:0.08894736210505168 [ Info: [6] train-mlogloss:0.06447824458281200 [ Info: [7] train-mlogloss:0.04789815674225489 [ Info: [8] train-mlogloss:0.03790350154042244 [ Info: [9] train-mlogloss:0.03165839222570260 [ Info: [10] train-mlogloss:0.02718048365165790 [ Info: [11] train-mlogloss:0.02542697120457888 [ Info: [12] train-mlogloss:0.02432510513812304 [ Info: [13] train-mlogloss:0.02337643244614204 [ Info: [14] train-mlogloss:0.02256681142995755 [ Info: [15] train-mlogloss:0.02182031934460004 [ Info: [16] train-mlogloss:0.02120867852121592 [ Info: [17] train-mlogloss:0.02070761381958922 [ Info: [18] train-mlogloss:0.02026878964155912 [ Info: [19] train-mlogloss:0.02015458927800258 [ Info: [20] train-mlogloss:0.02006065548708041 [ Info: [21] train-mlogloss:0.01998511032511791 [ Info: [22] train-mlogloss:0.01992210869987806 [ Info: [23] train-mlogloss:0.01987109287331502 [ Info: [24] train-mlogloss:0.01981904926399390 [ Info: [25] train-mlogloss:0.01977270826076468 [ Info: [26] train-mlogloss:0.01973181334634622 [ Info: [27] train-mlogloss:0.01968920543168982 [ Info: [28] train-mlogloss:0.01965589083731174 [ Info: [29] train-mlogloss:0.01962953253959616 [ Info: [30] train-mlogloss:0.01960845946023862 [ Info: [31] train-mlogloss:0.01958722220112880 [ Info: [32] train-mlogloss:0.01956674645344416 [ Info: [33] train-mlogloss:0.01954821052650611 [ Info: [34] train-mlogloss:0.01952837049340208 [ Info: [35] train-mlogloss:0.01951138741647204 [ Info: [36] train-mlogloss:0.01949235443646709 [ Info: [37] train-mlogloss:0.01947639872009556 [ Info: [38] train-mlogloss:0.01945826333637039 [ Info: [39] train-mlogloss:0.01944309828182061 [ Info: [40] train-mlogloss:0.01942582483092944 [ Info: [41] train-mlogloss:0.01941126519193252 [ Info: [42] train-mlogloss:0.01939489085848133 [ Info: [43] train-mlogloss:0.01938089726492763 [ Info: [44] train-mlogloss:0.01936528033266465 [ Info: [45] train-mlogloss:0.01935179573794206 [ Info: [46] train-mlogloss:0.01933697741478681 [ Info: [47] train-mlogloss:0.01932392832512657 [ Info: [48] train-mlogloss:0.01930985096842051 [ Info: [49] train-mlogloss:0.01929723285138607 [ Info: [50] train-mlogloss:0.01928384566679597 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.47510213375091553 [ Info: [2] train-mlogloss:0.25632186333338419 [ Info: [3] train-mlogloss:0.14660847485065459 [ Info: [4] train-mlogloss:0.09006659964720408 [ Info: [5] train-mlogloss:0.06146035790443420 [ Info: [6] train-mlogloss:0.04527364169557890 [ Info: [7] train-mlogloss:0.03482859775424003 [ Info: [8] train-mlogloss:0.02839667792121569 [ Info: [9] train-mlogloss:0.02632733133931955 [ Info: [10] train-mlogloss:0.02489269915968180 [ Info: [11] train-mlogloss:0.02377870333691438 [ Info: [12] train-mlogloss:0.02292248737066984 [ Info: [13] train-mlogloss:0.02219963092977802 [ Info: [14] train-mlogloss:0.02159224915007750 [ Info: [15] train-mlogloss:0.02108503809198737 [ Info: [16] train-mlogloss:0.02086502933874726 [ Info: [17] train-mlogloss:0.02067638184254368 [ Info: [18] train-mlogloss:0.02050505774716536 [ Info: [19] train-mlogloss:0.02035509537905454 [ Info: [20] train-mlogloss:0.02024333014463385 [ Info: [21] train-mlogloss:0.02015785334631801 [ Info: [22] train-mlogloss:0.02009000970671574 [ Info: [23] train-mlogloss:0.02003725343073408 [ Info: [24] train-mlogloss:0.01999573164309065 [ Info: [25] train-mlogloss:0.01996284128477176 [ Info: [26] train-mlogloss:0.01993635391195615 [ Info: [27] train-mlogloss:0.01990609173973401 [ Info: [28] train-mlogloss:0.01988321740801136 [ Info: [29] train-mlogloss:0.01985659217461944 [ Info: [30] train-mlogloss:0.01983394638945659 [ Info: [31] train-mlogloss:0.01981113803262512 [ Info: [32] train-mlogloss:0.01978898368154963 [ Info: [33] train-mlogloss:0.01976832451298833 [ Info: [34] train-mlogloss:0.01974707710246245 [ Info: [35] train-mlogloss:0.01972783183678985 [ Info: [36] train-mlogloss:0.01970741419121623 [ Info: [37] train-mlogloss:0.01968926209956407 [ Info: [38] train-mlogloss:0.01966998485227426 [ Info: [39] train-mlogloss:0.01965266649921735 [ Info: [40] train-mlogloss:0.01963431324809790 [ Info: [41] train-mlogloss:0.01961775299782554 [ Info: [42] train-mlogloss:0.01960039269799987 [ Info: [43] train-mlogloss:0.01958454471081495 [ Info: [44] train-mlogloss:0.01956802479301890 [ Info: [45] train-mlogloss:0.01955284700418512 [ Info: [46] train-mlogloss:0.01953716323400537 [ Info: [47] train-mlogloss:0.01952256304522355 [ Info: [48] train-mlogloss:0.01950768333549301 [ Info: [49] train-mlogloss:0.01949370158836245 [ Info: [50] train-mlogloss:0.01947944021473328 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97301790237426755 [ Info: [2] train-mlogloss:0.86688062985738124 [ Info: [3] train-mlogloss:0.77610060930252078 [ Info: [4] train-mlogloss:0.69771347045898435 [ Info: [5] train-mlogloss:0.62954967339833579 [ Info: [6] train-mlogloss:0.56987016995747886 [ Info: [7] train-mlogloss:0.51739162723223364 [ Info: [8] train-mlogloss:0.47104996959368389 [ Info: [9] train-mlogloss:0.42998022715250650 [ Info: [10] train-mlogloss:0.39346991777420043 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85685491641362510 [ Info: [2] train-mlogloss:0.68496205488840733 [ Info: [3] train-mlogloss:0.55701023101806646 [ Info: [4] train-mlogloss:0.45914307951927186 [ Info: [5] train-mlogloss:0.38284827033678692 [ Info: [6] train-mlogloss:0.32259103655815125 [ Info: [7] train-mlogloss:0.27440662145614625 [ Info: [8] train-mlogloss:0.23549482643604278 [ Info: [9] train-mlogloss:0.20389599402745565 [ Info: [10] train-mlogloss:0.17651853581269583 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75048375288645430 [ Info: [2] train-mlogloss:0.54286955674489334 [ Info: [3] train-mlogloss:0.40656156261761983 [ Info: [4] train-mlogloss:0.31269171516100563 [ Info: [5] train-mlogloss:0.24612479408582053 [ Info: [6] train-mlogloss:0.19544680138429005 [ Info: [7] train-mlogloss:0.15790822436412175 [ Info: [8] train-mlogloss:0.12967088053623835 [ Info: [9] train-mlogloss:0.10816969861586889 [ Info: [10] train-mlogloss:0.09229631230235100 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65407360553741456 [ Info: [2] train-mlogloss:0.43228376944859820 [ Info: [3] train-mlogloss:0.30226692557334900 [ Info: [4] train-mlogloss:0.22078171412150066 [ Info: [5] train-mlogloss:0.16414098968108495 [ Info: [6] train-mlogloss:0.12582747936248778 [ Info: [7] train-mlogloss:0.09999269346396128 [ Info: [8] train-mlogloss:0.08187731429934501 [ Info: [9] train-mlogloss:0.06610311210155487 [ Info: [10] train-mlogloss:0.05600690039495627 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56758851289749146 [ Info: [2] train-mlogloss:0.34634848515192668 [ Info: [3] train-mlogloss:0.22932885785897572 [ Info: [4] train-mlogloss:0.15787736525138218 [ Info: [5] train-mlogloss:0.11407199839750926 [ Info: [6] train-mlogloss:0.08677106370528540 [ Info: [7] train-mlogloss:0.06872100462516149 [ Info: [8] train-mlogloss:0.05618729395171006 [ Info: [9] train-mlogloss:0.04667915484557549 [ Info: [10] train-mlogloss:0.03970918613175551 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49078969041506448 [ Info: [2] train-mlogloss:0.27959700683752697 [ Info: [3] train-mlogloss:0.17365478893121084 [ Info: [4] train-mlogloss:0.11609908968210220 [ Info: [5] train-mlogloss:0.08322614381710688 [ Info: [6] train-mlogloss:0.05855189452568690 [ Info: [7] train-mlogloss:0.04618397889037927 [ Info: [8] train-mlogloss:0.03888774629682303 [ Info: [9] train-mlogloss:0.03391026259710391 [ Info: [10] train-mlogloss:0.03241718766589959 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97301790237426755 [ Info: [2] train-mlogloss:0.86688062985738124 [ Info: [3] train-mlogloss:0.77610060930252078 [ Info: [4] train-mlogloss:0.69771347045898435 [ Info: [5] train-mlogloss:0.62954967339833579 [ Info: [6] train-mlogloss:0.56987016995747886 [ Info: [7] train-mlogloss:0.51739162723223364 [ Info: [8] train-mlogloss:0.47104996959368389 [ Info: [9] train-mlogloss:0.42998022715250650 [ Info: [10] train-mlogloss:0.39346991777420043 [ Info: [11] train-mlogloss:0.36092485308647154 [ Info: [12] train-mlogloss:0.33185309370358784 [ Info: [13] train-mlogloss:0.30580726544062298 [ Info: [14] train-mlogloss:0.28241040945053103 [ Info: [15] train-mlogloss:0.26136840065320333 [ Info: [16] train-mlogloss:0.24241263310114541 [ Info: [17] train-mlogloss:0.22530972898006441 [ Info: [18] train-mlogloss:0.20986176371574403 [ Info: [19] train-mlogloss:0.19508877535661062 [ Info: [20] train-mlogloss:0.18167823811372122 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85685491641362510 [ Info: [2] train-mlogloss:0.68496205488840733 [ Info: [3] train-mlogloss:0.55701023101806646 [ Info: [4] train-mlogloss:0.45914307951927186 [ Info: [5] train-mlogloss:0.38284827033678692 [ Info: [6] train-mlogloss:0.32259103655815125 [ Info: [7] train-mlogloss:0.27440662145614625 [ Info: [8] train-mlogloss:0.23549482643604278 [ Info: [9] train-mlogloss:0.20389599402745565 [ Info: [10] train-mlogloss:0.17651853581269583 [ Info: [11] train-mlogloss:0.15390447765588761 [ Info: [12] train-mlogloss:0.13512494037548700 [ Info: [13] train-mlogloss:0.11944949756066005 [ Info: [14] train-mlogloss:0.10669350713491439 [ Info: [15] train-mlogloss:0.09596893191337585 [ Info: [16] train-mlogloss:0.08698754325509071 [ Info: [17] train-mlogloss:0.07747750967741013 [ Info: [18] train-mlogloss:0.06975740676124891 [ Info: [19] train-mlogloss:0.06299307177464167 [ Info: [20] train-mlogloss:0.05820659093558788 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75048375288645430 [ Info: [2] train-mlogloss:0.54286955674489334 [ Info: [3] train-mlogloss:0.40656156261761983 [ Info: [4] train-mlogloss:0.31269171516100563 [ Info: [5] train-mlogloss:0.24612479408582053 [ Info: [6] train-mlogloss:0.19544680138429005 [ Info: [7] train-mlogloss:0.15790822436412175 [ Info: [8] train-mlogloss:0.12967088053623835 [ Info: [9] train-mlogloss:0.10816969861586889 [ Info: [10] train-mlogloss:0.09229631230235100 [ Info: [11] train-mlogloss:0.07893555914362271 [ Info: [12] train-mlogloss:0.06706412722667059 [ Info: [13] train-mlogloss:0.05909488034745058 [ Info: [14] train-mlogloss:0.05200831760962804 [ Info: [15] train-mlogloss:0.04637280449271202 [ Info: [16] train-mlogloss:0.04236409239470959 [ Info: [17] train-mlogloss:0.03867621676375468 [ Info: [18] train-mlogloss:0.03570818778127432 [ Info: [19] train-mlogloss:0.03397191716978947 [ Info: [20] train-mlogloss:0.03264006953686475 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65407360553741456 [ Info: [2] train-mlogloss:0.43228376944859820 [ Info: [3] train-mlogloss:0.30226692557334900 [ Info: [4] train-mlogloss:0.22078171412150066 [ Info: [5] train-mlogloss:0.16414098968108495 [ Info: [6] train-mlogloss:0.12582747936248778 [ Info: [7] train-mlogloss:0.09999269346396128 [ Info: [8] train-mlogloss:0.08187731429934501 [ Info: [9] train-mlogloss:0.06610311210155487 [ Info: [10] train-mlogloss:0.05600690039495627 [ Info: [11] train-mlogloss:0.04795681496461233 [ Info: [12] train-mlogloss:0.04224223482112090 [ Info: [13] train-mlogloss:0.03801355635126432 [ Info: [14] train-mlogloss:0.03594178003569444 [ Info: [15] train-mlogloss:0.03386121305326621 [ Info: [16] train-mlogloss:0.03285067009429137 [ Info: [17] train-mlogloss:0.03179116312414407 [ Info: [18] train-mlogloss:0.03112576715027292 [ Info: [19] train-mlogloss:0.03033389015744130 [ Info: [20] train-mlogloss:0.02976045527805885 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56758851289749146 [ Info: [2] train-mlogloss:0.34634848515192668 [ Info: [3] train-mlogloss:0.22932885785897572 [ Info: [4] train-mlogloss:0.15787736525138218 [ Info: [5] train-mlogloss:0.11407199839750926 [ Info: [6] train-mlogloss:0.08677106370528540 [ Info: [7] train-mlogloss:0.06872100462516149 [ Info: [8] train-mlogloss:0.05618729395171006 [ Info: [9] train-mlogloss:0.04667915484557549 [ Info: [10] train-mlogloss:0.03970918613175551 [ Info: [11] train-mlogloss:0.03486759106318156 [ Info: [12] train-mlogloss:0.03333494913453857 [ Info: [13] train-mlogloss:0.03237124360476931 [ Info: [14] train-mlogloss:0.03121988819912076 [ Info: [15] train-mlogloss:0.03049427383268873 [ Info: [16] train-mlogloss:0.02955715860550602 [ Info: [17] train-mlogloss:0.02901663723712166 [ Info: [18] train-mlogloss:0.02846740432704489 [ Info: [19] train-mlogloss:0.02799144368618727 [ Info: [20] train-mlogloss:0.02753351169327895 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49078969041506448 [ Info: [2] train-mlogloss:0.27959700683752697 [ Info: [3] train-mlogloss:0.17365478893121084 [ Info: [4] train-mlogloss:0.11609908968210220 [ Info: [5] train-mlogloss:0.08322614381710688 [ Info: [6] train-mlogloss:0.05855189452568690 [ Info: [7] train-mlogloss:0.04618397889037927 [ Info: [8] train-mlogloss:0.03888774629682303 [ Info: [9] train-mlogloss:0.03391026259710391 [ Info: [10] train-mlogloss:0.03241718766589959 [ Info: [11] train-mlogloss:0.03090927132094900 [ Info: [12] train-mlogloss:0.02999273221318920 [ Info: [13] train-mlogloss:0.02915677053232988 [ Info: [14] train-mlogloss:0.02832832910741369 [ Info: [15] train-mlogloss:0.02772060890371601 [ Info: [16] train-mlogloss:0.02709082384283344 [ Info: [17] train-mlogloss:0.02655181712781390 [ Info: [18] train-mlogloss:0.02605590126787623 [ Info: [19] train-mlogloss:0.02566736286506057 [ Info: [20] train-mlogloss:0.02524339030807217 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97301790237426755 [ Info: [2] train-mlogloss:0.86688062985738124 [ Info: [3] train-mlogloss:0.77610060930252078 [ Info: [4] train-mlogloss:0.69771347045898435 [ Info: [5] train-mlogloss:0.62954967339833579 [ Info: [6] train-mlogloss:0.56987016995747886 [ Info: [7] train-mlogloss:0.51739162723223364 [ Info: [8] train-mlogloss:0.47104996959368389 [ Info: [9] train-mlogloss:0.42998022715250650 [ Info: [10] train-mlogloss:0.39346991777420043 [ Info: [11] train-mlogloss:0.36092485308647154 [ Info: [12] train-mlogloss:0.33185309370358784 [ Info: [13] train-mlogloss:0.30580726544062298 [ Info: [14] train-mlogloss:0.28241040945053103 [ Info: [15] train-mlogloss:0.26136840065320333 [ Info: [16] train-mlogloss:0.24241263310114541 [ Info: [17] train-mlogloss:0.22530972898006441 [ Info: [18] train-mlogloss:0.20986176371574403 [ Info: [19] train-mlogloss:0.19508877535661062 [ Info: [20] train-mlogloss:0.18167823811372122 [ Info: [21] train-mlogloss:0.16948257188002269 [ Info: [22] train-mlogloss:0.15837773591279983 [ Info: [23] train-mlogloss:0.14825345426797867 [ Info: [24] train-mlogloss:0.13901184499263763 [ Info: [25] train-mlogloss:0.13056560417016347 [ Info: [26] train-mlogloss:0.12283694495757420 [ Info: [27] train-mlogloss:0.11594410806894302 [ Info: [28] train-mlogloss:0.10963598549365998 [ Info: [29] train-mlogloss:0.10385642647743225 [ Info: [30] train-mlogloss:0.09854885339736938 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85685491641362510 [ Info: [2] train-mlogloss:0.68496205488840733 [ Info: [3] train-mlogloss:0.55701023101806646 [ Info: [4] train-mlogloss:0.45914307951927186 [ Info: [5] train-mlogloss:0.38284827033678692 [ Info: [6] train-mlogloss:0.32259103655815125 [ Info: [7] train-mlogloss:0.27440662145614625 [ Info: [8] train-mlogloss:0.23549482643604278 [ Info: [9] train-mlogloss:0.20389599402745565 [ Info: [10] train-mlogloss:0.17651853581269583 [ Info: [11] train-mlogloss:0.15390447765588761 [ Info: [12] train-mlogloss:0.13512494037548700 [ Info: [13] train-mlogloss:0.11944949756066005 [ Info: [14] train-mlogloss:0.10669350713491439 [ Info: [15] train-mlogloss:0.09596893191337585 [ Info: [16] train-mlogloss:0.08698754325509071 [ Info: [17] train-mlogloss:0.07747750967741013 [ Info: [18] train-mlogloss:0.06975740676124891 [ Info: [19] train-mlogloss:0.06299307177464167 [ Info: [20] train-mlogloss:0.05820659093558788 [ Info: [21] train-mlogloss:0.05355596269170444 [ Info: [22] train-mlogloss:0.04987215441962083 [ Info: [23] train-mlogloss:0.04640382880965869 [ Info: [24] train-mlogloss:0.04366111802558104 [ Info: [25] train-mlogloss:0.04100048766781886 [ Info: [26] train-mlogloss:0.03867159853378932 [ Info: [27] train-mlogloss:0.03712752119948467 [ Info: [28] train-mlogloss:0.03602199815213680 [ Info: [29] train-mlogloss:0.03482350484778484 [ Info: [30] train-mlogloss:0.03381196988125642 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75048375288645430 [ Info: [2] train-mlogloss:0.54286955674489334 [ Info: [3] train-mlogloss:0.40656156261761983 [ Info: [4] train-mlogloss:0.31269171516100563 [ Info: [5] train-mlogloss:0.24612479408582053 [ Info: [6] train-mlogloss:0.19544680138429005 [ Info: [7] train-mlogloss:0.15790822436412175 [ Info: [8] train-mlogloss:0.12967088053623835 [ Info: [9] train-mlogloss:0.10816969861586889 [ Info: [10] train-mlogloss:0.09229631230235100 [ Info: [11] train-mlogloss:0.07893555914362271 [ Info: [12] train-mlogloss:0.06706412722667059 [ Info: [13] train-mlogloss:0.05909488034745058 [ Info: [14] train-mlogloss:0.05200831760962804 [ Info: [15] train-mlogloss:0.04637280449271202 [ Info: [16] train-mlogloss:0.04236409239470959 [ Info: [17] train-mlogloss:0.03867621676375468 [ Info: [18] train-mlogloss:0.03570818778127432 [ Info: [19] train-mlogloss:0.03397191716978947 [ Info: [20] train-mlogloss:0.03264006953686475 [ Info: [21] train-mlogloss:0.03197868396838506 [ Info: [22] train-mlogloss:0.03125985167299708 [ Info: [23] train-mlogloss:0.03077740749344230 [ Info: [24] train-mlogloss:0.03035098658874631 [ Info: [25] train-mlogloss:0.02988381982470552 [ Info: [26] train-mlogloss:0.02950161517287294 [ Info: [27] train-mlogloss:0.02913716283316414 [ Info: [28] train-mlogloss:0.02879304473598798 [ Info: [29] train-mlogloss:0.02845936222622792 [ Info: [30] train-mlogloss:0.02815297968064745 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65407360553741456 [ Info: [2] train-mlogloss:0.43228376944859820 [ Info: [3] train-mlogloss:0.30226692557334900 [ Info: [4] train-mlogloss:0.22078171412150066 [ Info: [5] train-mlogloss:0.16414098968108495 [ Info: [6] train-mlogloss:0.12582747936248778 [ Info: [7] train-mlogloss:0.09999269346396128 [ Info: [8] train-mlogloss:0.08187731429934501 [ Info: [9] train-mlogloss:0.06610311210155487 [ Info: [10] train-mlogloss:0.05600690039495627 [ Info: [11] train-mlogloss:0.04795681496461233 [ Info: [12] train-mlogloss:0.04224223482112090 [ Info: [13] train-mlogloss:0.03801355635126432 [ Info: [14] train-mlogloss:0.03594178003569444 [ Info: [15] train-mlogloss:0.03386121305326621 [ Info: [16] train-mlogloss:0.03285067009429137 [ Info: [17] train-mlogloss:0.03179116312414407 [ Info: [18] train-mlogloss:0.03112576715027292 [ Info: [19] train-mlogloss:0.03033389015744130 [ Info: [20] train-mlogloss:0.02976045527805885 [ Info: [21] train-mlogloss:0.02911066444590688 [ Info: [22] train-mlogloss:0.02864379625767469 [ Info: [23] train-mlogloss:0.02824010315661629 [ Info: [24] train-mlogloss:0.02782060615097483 [ Info: [25] train-mlogloss:0.02742160622651378 [ Info: [26] train-mlogloss:0.02706199718018373 [ Info: [27] train-mlogloss:0.02674658746769031 [ Info: [28] train-mlogloss:0.02641567301626007 [ Info: [29] train-mlogloss:0.02609296803052227 [ Info: [30] train-mlogloss:0.02580392942453424 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56758851289749146 [ Info: [2] train-mlogloss:0.34634848515192668 [ Info: [3] train-mlogloss:0.22932885785897572 [ Info: [4] train-mlogloss:0.15787736525138218 [ Info: [5] train-mlogloss:0.11407199839750926 [ Info: [6] train-mlogloss:0.08677106370528540 [ Info: [7] train-mlogloss:0.06872100462516149 [ Info: [8] train-mlogloss:0.05618729395171006 [ Info: [9] train-mlogloss:0.04667915484557549 [ Info: [10] train-mlogloss:0.03970918613175551 [ Info: [11] train-mlogloss:0.03486759106318156 [ Info: [12] train-mlogloss:0.03333494913453857 [ Info: [13] train-mlogloss:0.03237124360476931 [ Info: [14] train-mlogloss:0.03121988819912076 [ Info: [15] train-mlogloss:0.03049427383268873 [ Info: [16] train-mlogloss:0.02955715860550602 [ Info: [17] train-mlogloss:0.02901663723712166 [ Info: [18] train-mlogloss:0.02846740432704489 [ Info: [19] train-mlogloss:0.02799144368618727 [ Info: [20] train-mlogloss:0.02753351169327895 [ Info: [21] train-mlogloss:0.02713534252097209 [ Info: [22] train-mlogloss:0.02676218901760876 [ Info: [23] train-mlogloss:0.02640180633713802 [ Info: [24] train-mlogloss:0.02608319736396273 [ Info: [25] train-mlogloss:0.02579644139856100 [ Info: [26] train-mlogloss:0.02550568341898421 [ Info: [27] train-mlogloss:0.02525587117299437 [ Info: [28] train-mlogloss:0.02498873523746927 [ Info: [29] train-mlogloss:0.02480449946286778 [ Info: [30] train-mlogloss:0.02463602772292992 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49078969041506448 [ Info: [2] train-mlogloss:0.27959700683752697 [ Info: [3] train-mlogloss:0.17365478893121084 [ Info: [4] train-mlogloss:0.11609908968210220 [ Info: [5] train-mlogloss:0.08322614381710688 [ Info: [6] train-mlogloss:0.05855189452568690 [ Info: [7] train-mlogloss:0.04618397889037927 [ Info: [8] train-mlogloss:0.03888774629682303 [ Info: [9] train-mlogloss:0.03391026259710391 [ Info: [10] train-mlogloss:0.03241718766589959 [ Info: [11] train-mlogloss:0.03090927132094900 [ Info: [12] train-mlogloss:0.02999273221318920 [ Info: [13] train-mlogloss:0.02915677053232988 [ Info: [14] train-mlogloss:0.02832832910741369 [ Info: [15] train-mlogloss:0.02772060890371601 [ Info: [16] train-mlogloss:0.02709082384283344 [ Info: [17] train-mlogloss:0.02655181712781390 [ Info: [18] train-mlogloss:0.02605590126787623 [ Info: [19] train-mlogloss:0.02566736286506057 [ Info: [20] train-mlogloss:0.02524339030807217 [ Info: [21] train-mlogloss:0.02491090160484115 [ Info: [22] train-mlogloss:0.02456753852466742 [ Info: [23] train-mlogloss:0.02428599571809173 [ Info: [24] train-mlogloss:0.02407878915158411 [ Info: [25] train-mlogloss:0.02388507251627743 [ Info: [26] train-mlogloss:0.02369903328828514 [ Info: [27] train-mlogloss:0.02353651964416107 [ Info: [28] train-mlogloss:0.02333764255667726 [ Info: [29] train-mlogloss:0.02318915413071712 [ Info: [30] train-mlogloss:0.02301466076324384 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97301790237426755 [ Info: [2] train-mlogloss:0.86688062985738124 [ Info: [3] train-mlogloss:0.77610060930252078 [ Info: [4] train-mlogloss:0.69771347045898435 [ Info: [5] train-mlogloss:0.62954967339833579 [ Info: [6] train-mlogloss:0.56987016995747886 [ Info: [7] train-mlogloss:0.51739162723223364 [ Info: [8] train-mlogloss:0.47104996959368389 [ Info: [9] train-mlogloss:0.42998022715250650 [ Info: [10] train-mlogloss:0.39346991777420043 [ Info: [11] train-mlogloss:0.36092485308647154 [ Info: [12] train-mlogloss:0.33185309370358784 [ Info: [13] train-mlogloss:0.30580726544062298 [ Info: [14] train-mlogloss:0.28241040945053103 [ Info: [15] train-mlogloss:0.26136840065320333 [ Info: [16] train-mlogloss:0.24241263310114541 [ Info: [17] train-mlogloss:0.22530972898006441 [ Info: [18] train-mlogloss:0.20986176371574403 [ Info: [19] train-mlogloss:0.19508877535661062 [ Info: [20] train-mlogloss:0.18167823811372122 [ Info: [21] train-mlogloss:0.16948257188002269 [ Info: [22] train-mlogloss:0.15837773591279983 [ Info: [23] train-mlogloss:0.14825345426797867 [ Info: [24] train-mlogloss:0.13901184499263763 [ Info: [25] train-mlogloss:0.13056560417016347 [ Info: [26] train-mlogloss:0.12283694495757420 [ Info: [27] train-mlogloss:0.11594410806894302 [ Info: [28] train-mlogloss:0.10963598549365998 [ Info: [29] train-mlogloss:0.10385642647743225 [ Info: [30] train-mlogloss:0.09854885339736938 [ Info: [31] train-mlogloss:0.09372573872407278 [ Info: [32] train-mlogloss:0.08924129337072373 [ Info: [33] train-mlogloss:0.08509976749618849 [ Info: [34] train-mlogloss:0.08037378991643587 [ Info: [35] train-mlogloss:0.07620910252134006 [ Info: [36] train-mlogloss:0.07225084270040194 [ Info: [37] train-mlogloss:0.06869005829095841 [ Info: [38] train-mlogloss:0.06530394482115905 [ Info: [39] train-mlogloss:0.06263434179127217 [ Info: [40] train-mlogloss:0.05990096869568030 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85685491641362510 [ Info: [2] train-mlogloss:0.68496205488840733 [ Info: [3] train-mlogloss:0.55701023101806646 [ Info: [4] train-mlogloss:0.45914307951927186 [ Info: [5] train-mlogloss:0.38284827033678692 [ Info: [6] train-mlogloss:0.32259103655815125 [ Info: [7] train-mlogloss:0.27440662145614625 [ Info: [8] train-mlogloss:0.23549482643604278 [ Info: [9] train-mlogloss:0.20389599402745565 [ Info: [10] train-mlogloss:0.17651853581269583 [ Info: [11] train-mlogloss:0.15390447765588761 [ Info: [12] train-mlogloss:0.13512494037548700 [ Info: [13] train-mlogloss:0.11944949756066005 [ Info: [14] train-mlogloss:0.10669350713491439 [ Info: [15] train-mlogloss:0.09596893191337585 [ Info: [16] train-mlogloss:0.08698754325509071 [ Info: [17] train-mlogloss:0.07747750967741013 [ Info: [18] train-mlogloss:0.06975740676124891 [ Info: [19] train-mlogloss:0.06299307177464167 [ Info: [20] train-mlogloss:0.05820659093558788 [ Info: [21] train-mlogloss:0.05355596269170444 [ Info: [22] train-mlogloss:0.04987215441962083 [ Info: [23] train-mlogloss:0.04640382880965869 [ Info: [24] train-mlogloss:0.04366111802558104 [ Info: [25] train-mlogloss:0.04100048766781886 [ Info: [26] train-mlogloss:0.03867159853378932 [ Info: [27] train-mlogloss:0.03712752119948467 [ Info: [28] train-mlogloss:0.03602199815213680 [ Info: [29] train-mlogloss:0.03482350484778484 [ Info: [30] train-mlogloss:0.03381196988125642 [ Info: [31] train-mlogloss:0.03319591872394085 [ Info: [32] train-mlogloss:0.03271554723381996 [ Info: [33] train-mlogloss:0.03222696118056774 [ Info: [34] train-mlogloss:0.03185415975749493 [ Info: [35] train-mlogloss:0.03141871192182104 [ Info: [36] train-mlogloss:0.03111386549348633 [ Info: [37] train-mlogloss:0.03081087304900090 [ Info: [38] train-mlogloss:0.03052462769672275 [ Info: [39] train-mlogloss:0.03025379342958331 [ Info: [40] train-mlogloss:0.02999969526504477 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75048375288645430 [ Info: [2] train-mlogloss:0.54286955674489334 [ Info: [3] train-mlogloss:0.40656156261761983 [ Info: [4] train-mlogloss:0.31269171516100563 [ Info: [5] train-mlogloss:0.24612479408582053 [ Info: [6] train-mlogloss:0.19544680138429005 [ Info: [7] train-mlogloss:0.15790822436412175 [ Info: [8] train-mlogloss:0.12967088053623835 [ Info: [9] train-mlogloss:0.10816969861586889 [ Info: [10] train-mlogloss:0.09229631230235100 [ Info: [11] train-mlogloss:0.07893555914362271 [ Info: [12] train-mlogloss:0.06706412722667059 [ Info: [13] train-mlogloss:0.05909488034745058 [ Info: [14] train-mlogloss:0.05200831760962804 [ Info: [15] train-mlogloss:0.04637280449271202 [ Info: [16] train-mlogloss:0.04236409239470959 [ Info: [17] train-mlogloss:0.03867621676375468 [ Info: [18] train-mlogloss:0.03570818778127432 [ Info: [19] train-mlogloss:0.03397191716978947 [ Info: [20] train-mlogloss:0.03264006953686475 [ Info: [21] train-mlogloss:0.03197868396838506 [ Info: [22] train-mlogloss:0.03125985167299708 [ Info: [23] train-mlogloss:0.03077740749344230 [ Info: [24] train-mlogloss:0.03035098658874631 [ Info: [25] train-mlogloss:0.02988381982470552 [ Info: [26] train-mlogloss:0.02950161517287294 [ Info: [27] train-mlogloss:0.02913716283316414 [ Info: [28] train-mlogloss:0.02879304473598798 [ Info: [29] train-mlogloss:0.02845936222622792 [ Info: [30] train-mlogloss:0.02815297968064745 [ Info: [31] train-mlogloss:0.02786401432628433 [ Info: [32] train-mlogloss:0.02759956410154700 [ Info: [33] train-mlogloss:0.02733212772135933 [ Info: [34] train-mlogloss:0.02706940411900480 [ Info: [35] train-mlogloss:0.02682859453062217 [ Info: [36] train-mlogloss:0.02660150578245521 [ Info: [37] train-mlogloss:0.02637482999513547 [ Info: [38] train-mlogloss:0.02616482648377617 [ Info: [39] train-mlogloss:0.02596854140982032 [ Info: [40] train-mlogloss:0.02577320332949360 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65407360553741456 [ Info: [2] train-mlogloss:0.43228376944859820 [ Info: [3] train-mlogloss:0.30226692557334900 [ Info: [4] train-mlogloss:0.22078171412150066 [ Info: [5] train-mlogloss:0.16414098968108495 [ Info: [6] train-mlogloss:0.12582747936248778 [ Info: [7] train-mlogloss:0.09999269346396128 [ Info: [8] train-mlogloss:0.08187731429934501 [ Info: [9] train-mlogloss:0.06610311210155487 [ Info: [10] train-mlogloss:0.05600690039495627 [ Info: [11] train-mlogloss:0.04795681496461233 [ Info: [12] train-mlogloss:0.04224223482112090 [ Info: [13] train-mlogloss:0.03801355635126432 [ Info: [14] train-mlogloss:0.03594178003569444 [ Info: [15] train-mlogloss:0.03386121305326621 [ Info: [16] train-mlogloss:0.03285067009429137 [ Info: [17] train-mlogloss:0.03179116312414407 [ Info: [18] train-mlogloss:0.03112576715027292 [ Info: [19] train-mlogloss:0.03033389015744130 [ Info: [20] train-mlogloss:0.02976045527805885 [ Info: [21] train-mlogloss:0.02911066444590688 [ Info: [22] train-mlogloss:0.02864379625767469 [ Info: [23] train-mlogloss:0.02824010315661629 [ Info: [24] train-mlogloss:0.02782060615097483 [ Info: [25] train-mlogloss:0.02742160622651378 [ Info: [26] train-mlogloss:0.02706199718018373 [ Info: [27] train-mlogloss:0.02674658746769031 [ Info: [28] train-mlogloss:0.02641567301626007 [ Info: [29] train-mlogloss:0.02609296803052227 [ Info: [30] train-mlogloss:0.02580392942453424 [ Info: [31] train-mlogloss:0.02554199426745375 [ Info: [32] train-mlogloss:0.02528202302133043 [ Info: [33] train-mlogloss:0.02503956209557752 [ Info: [34] train-mlogloss:0.02482089237930874 [ Info: [35] train-mlogloss:0.02462405652428667 [ Info: [36] train-mlogloss:0.02441913430579007 [ Info: [37] train-mlogloss:0.02424329945196708 [ Info: [38] train-mlogloss:0.02411137571868797 [ Info: [39] train-mlogloss:0.02396819698624313 [ Info: [40] train-mlogloss:0.02384665884077549 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56758851289749146 [ Info: [2] train-mlogloss:0.34634848515192668 [ Info: [3] train-mlogloss:0.22932885785897572 [ Info: [4] train-mlogloss:0.15787736525138218 [ Info: [5] train-mlogloss:0.11407199839750926 [ Info: [6] train-mlogloss:0.08677106370528540 [ Info: [7] train-mlogloss:0.06872100462516149 [ Info: [8] train-mlogloss:0.05618729395171006 [ Info: [9] train-mlogloss:0.04667915484557549 [ Info: [10] train-mlogloss:0.03970918613175551 [ Info: [11] train-mlogloss:0.03486759106318156 [ Info: [12] train-mlogloss:0.03333494913453857 [ Info: [13] train-mlogloss:0.03237124360476931 [ Info: [14] train-mlogloss:0.03121988819912076 [ Info: [15] train-mlogloss:0.03049427383268873 [ Info: [16] train-mlogloss:0.02955715860550602 [ Info: [17] train-mlogloss:0.02901663723712166 [ Info: [18] train-mlogloss:0.02846740432704489 [ Info: [19] train-mlogloss:0.02799144368618727 [ Info: [20] train-mlogloss:0.02753351169327895 [ Info: [21] train-mlogloss:0.02713534252097209 [ Info: [22] train-mlogloss:0.02676218901760876 [ Info: [23] train-mlogloss:0.02640180633713802 [ Info: [24] train-mlogloss:0.02608319736396273 [ Info: [25] train-mlogloss:0.02579644139856100 [ Info: [26] train-mlogloss:0.02550568341898421 [ Info: [27] train-mlogloss:0.02525587117299437 [ Info: [28] train-mlogloss:0.02498873523746927 [ Info: [29] train-mlogloss:0.02480449946286778 [ Info: [30] train-mlogloss:0.02463602772292992 [ Info: [31] train-mlogloss:0.02446701654853920 [ Info: [32] train-mlogloss:0.02431392565680047 [ Info: [33] train-mlogloss:0.02416678879720469 [ Info: [34] train-mlogloss:0.02402618061751127 [ Info: [35] train-mlogloss:0.02389662135392428 [ Info: [36] train-mlogloss:0.02375704335359236 [ Info: [37] train-mlogloss:0.02363653318335613 [ Info: [38] train-mlogloss:0.02351022434731324 [ Info: [39] train-mlogloss:0.02339604478639861 [ Info: [40] train-mlogloss:0.02327479407812158 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49078969041506448 [ Info: [2] train-mlogloss:0.27959700683752697 [ Info: [3] train-mlogloss:0.17365478893121084 [ Info: [4] train-mlogloss:0.11609908968210220 [ Info: [5] train-mlogloss:0.08322614381710688 [ Info: [6] train-mlogloss:0.05855189452568690 [ Info: [7] train-mlogloss:0.04618397889037927 [ Info: [8] train-mlogloss:0.03888774629682303 [ Info: [9] train-mlogloss:0.03391026259710391 [ Info: [10] train-mlogloss:0.03241718766589959 [ Info: [11] train-mlogloss:0.03090927132094900 [ Info: [12] train-mlogloss:0.02999273221318920 [ Info: [13] train-mlogloss:0.02915677053232988 [ Info: [14] train-mlogloss:0.02832832910741369 [ Info: [15] train-mlogloss:0.02772060890371601 [ Info: [16] train-mlogloss:0.02709082384283344 [ Info: [17] train-mlogloss:0.02655181712781390 [ Info: [18] train-mlogloss:0.02605590126787623 [ Info: [19] train-mlogloss:0.02566736286506057 [ Info: [20] train-mlogloss:0.02524339030807217 [ Info: [21] train-mlogloss:0.02491090160484115 [ Info: [22] train-mlogloss:0.02456753852466742 [ Info: [23] train-mlogloss:0.02428599571809173 [ Info: [24] train-mlogloss:0.02407878915158411 [ Info: [25] train-mlogloss:0.02388507251627743 [ Info: [26] train-mlogloss:0.02369903328828514 [ Info: [27] train-mlogloss:0.02353651964416107 [ Info: [28] train-mlogloss:0.02333764255667726 [ Info: [29] train-mlogloss:0.02318915413071712 [ Info: [30] train-mlogloss:0.02301466076324384 [ Info: [31] train-mlogloss:0.02287589446641505 [ Info: [32] train-mlogloss:0.02275228043086827 [ Info: [33] train-mlogloss:0.02263791736836235 [ Info: [34] train-mlogloss:0.02252976673344771 [ Info: [35] train-mlogloss:0.02242427506173651 [ Info: [36] train-mlogloss:0.02232686087799569 [ Info: [37] train-mlogloss:0.02223915119344989 [ Info: [38] train-mlogloss:0.02214864965528250 [ Info: [39] train-mlogloss:0.02206538036465645 [ Info: [40] train-mlogloss:0.02198829308462640 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97301790237426755 [ Info: [2] train-mlogloss:0.86688062985738124 [ Info: [3] train-mlogloss:0.77610060930252078 [ Info: [4] train-mlogloss:0.69771347045898435 [ Info: [5] train-mlogloss:0.62954967339833579 [ Info: [6] train-mlogloss:0.56987016995747886 [ Info: [7] train-mlogloss:0.51739162723223364 [ Info: [8] train-mlogloss:0.47104996959368389 [ Info: [9] train-mlogloss:0.42998022715250650 [ Info: [10] train-mlogloss:0.39346991777420043 [ Info: [11] train-mlogloss:0.36092485308647154 [ Info: [12] train-mlogloss:0.33185309370358784 [ Info: [13] train-mlogloss:0.30580726544062298 [ Info: [14] train-mlogloss:0.28241040945053103 [ Info: [15] train-mlogloss:0.26136840065320333 [ Info: [16] train-mlogloss:0.24241263310114541 [ Info: [17] train-mlogloss:0.22530972898006441 [ Info: [18] train-mlogloss:0.20986176371574403 [ Info: [19] train-mlogloss:0.19508877535661062 [ Info: [20] train-mlogloss:0.18167823811372122 [ Info: [21] train-mlogloss:0.16948257188002269 [ Info: [22] train-mlogloss:0.15837773591279983 [ Info: [23] train-mlogloss:0.14825345426797867 [ Info: [24] train-mlogloss:0.13901184499263763 [ Info: [25] train-mlogloss:0.13056560417016347 [ Info: [26] train-mlogloss:0.12283694495757420 [ Info: [27] train-mlogloss:0.11594410806894302 [ Info: [28] train-mlogloss:0.10963598549365998 [ Info: [29] train-mlogloss:0.10385642647743225 [ Info: [30] train-mlogloss:0.09854885339736938 [ Info: [31] train-mlogloss:0.09372573872407278 [ Info: [32] train-mlogloss:0.08924129337072373 [ Info: [33] train-mlogloss:0.08509976749618849 [ Info: [34] train-mlogloss:0.08037378991643587 [ Info: [35] train-mlogloss:0.07620910252134006 [ Info: [36] train-mlogloss:0.07225084270040194 [ Info: [37] train-mlogloss:0.06869005829095841 [ Info: [38] train-mlogloss:0.06530394482115905 [ Info: [39] train-mlogloss:0.06263434179127217 [ Info: [40] train-mlogloss:0.05990096869568030 [ Info: [41] train-mlogloss:0.05744932313760122 [ Info: [42] train-mlogloss:0.05526664286851883 [ Info: [43] train-mlogloss:0.05336244935790697 [ Info: [44] train-mlogloss:0.05147928493718306 [ Info: [45] train-mlogloss:0.04970449407895406 [ Info: [46] train-mlogloss:0.04803211845457554 [ Info: [47] train-mlogloss:0.04636000928779443 [ Info: [48] train-mlogloss:0.04496518621842067 [ Info: [49] train-mlogloss:0.04356162237624327 [ Info: [50] train-mlogloss:0.04231482771535715 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85685491641362510 [ Info: [2] train-mlogloss:0.68496205488840733 [ Info: [3] train-mlogloss:0.55701023101806646 [ Info: [4] train-mlogloss:0.45914307951927186 [ Info: [5] train-mlogloss:0.38284827033678692 [ Info: [6] train-mlogloss:0.32259103655815125 [ Info: [7] train-mlogloss:0.27440662145614625 [ Info: [8] train-mlogloss:0.23549482643604278 [ Info: [9] train-mlogloss:0.20389599402745565 [ Info: [10] train-mlogloss:0.17651853581269583 [ Info: [11] train-mlogloss:0.15390447765588761 [ Info: [12] train-mlogloss:0.13512494037548700 [ Info: [13] train-mlogloss:0.11944949756066005 [ Info: [14] train-mlogloss:0.10669350713491439 [ Info: [15] train-mlogloss:0.09596893191337585 [ Info: [16] train-mlogloss:0.08698754325509071 [ Info: [17] train-mlogloss:0.07747750967741013 [ Info: [18] train-mlogloss:0.06975740676124891 [ Info: [19] train-mlogloss:0.06299307177464167 [ Info: [20] train-mlogloss:0.05820659093558788 [ Info: [21] train-mlogloss:0.05355596269170444 [ Info: [22] train-mlogloss:0.04987215441962083 [ Info: [23] train-mlogloss:0.04640382880965869 [ Info: [24] train-mlogloss:0.04366111802558104 [ Info: [25] train-mlogloss:0.04100048766781886 [ Info: [26] train-mlogloss:0.03867159853378932 [ Info: [27] train-mlogloss:0.03712752119948467 [ Info: [28] train-mlogloss:0.03602199815213680 [ Info: [29] train-mlogloss:0.03482350484778484 [ Info: [30] train-mlogloss:0.03381196988125642 [ Info: [31] train-mlogloss:0.03319591872394085 [ Info: [32] train-mlogloss:0.03271554723381996 [ Info: [33] train-mlogloss:0.03222696118056774 [ Info: [34] train-mlogloss:0.03185415975749493 [ Info: [35] train-mlogloss:0.03141871192182104 [ Info: [36] train-mlogloss:0.03111386549348633 [ Info: [37] train-mlogloss:0.03081087304900090 [ Info: [38] train-mlogloss:0.03052462769672275 [ Info: [39] train-mlogloss:0.03025379342958331 [ Info: [40] train-mlogloss:0.02999969526504477 [ Info: [41] train-mlogloss:0.02971720300614834 [ Info: [42] train-mlogloss:0.02947910868252317 [ Info: [43] train-mlogloss:0.02924721468240023 [ Info: [44] train-mlogloss:0.02902643972386916 [ Info: [45] train-mlogloss:0.02880773061265548 [ Info: [46] train-mlogloss:0.02859958490356803 [ Info: [47] train-mlogloss:0.02839630025749405 [ Info: [48] train-mlogloss:0.02820774786795179 [ Info: [49] train-mlogloss:0.02801460109030207 [ Info: [50] train-mlogloss:0.02783494948099057 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75048375288645430 [ Info: [2] train-mlogloss:0.54286955674489334 [ Info: [3] train-mlogloss:0.40656156261761983 [ Info: [4] train-mlogloss:0.31269171516100563 [ Info: [5] train-mlogloss:0.24612479408582053 [ Info: [6] train-mlogloss:0.19544680138429005 [ Info: [7] train-mlogloss:0.15790822436412175 [ Info: [8] train-mlogloss:0.12967088053623835 [ Info: [9] train-mlogloss:0.10816969861586889 [ Info: [10] train-mlogloss:0.09229631230235100 [ Info: [11] train-mlogloss:0.07893555914362271 [ Info: [12] train-mlogloss:0.06706412722667059 [ Info: [13] train-mlogloss:0.05909488034745058 [ Info: [14] train-mlogloss:0.05200831760962804 [ Info: [15] train-mlogloss:0.04637280449271202 [ Info: [16] train-mlogloss:0.04236409239470959 [ Info: [17] train-mlogloss:0.03867621676375468 [ Info: [18] train-mlogloss:0.03570818778127432 [ Info: [19] train-mlogloss:0.03397191716978947 [ Info: [20] train-mlogloss:0.03264006953686475 [ Info: [21] train-mlogloss:0.03197868396838506 [ Info: [22] train-mlogloss:0.03125985167299708 [ Info: [23] train-mlogloss:0.03077740749344230 [ Info: [24] train-mlogloss:0.03035098658874631 [ Info: [25] train-mlogloss:0.02988381982470552 [ Info: [26] train-mlogloss:0.02950161517287294 [ Info: [27] train-mlogloss:0.02913716283316414 [ Info: [28] train-mlogloss:0.02879304473598798 [ Info: [29] train-mlogloss:0.02845936222622792 [ Info: [30] train-mlogloss:0.02815297968064745 [ Info: [31] train-mlogloss:0.02786401432628433 [ Info: [32] train-mlogloss:0.02759956410154700 [ Info: [33] train-mlogloss:0.02733212772135933 [ Info: [34] train-mlogloss:0.02706940411900480 [ Info: [35] train-mlogloss:0.02682859453062217 [ Info: [36] train-mlogloss:0.02660150578245521 [ Info: [37] train-mlogloss:0.02637482999513547 [ Info: [38] train-mlogloss:0.02616482648377617 [ Info: [39] train-mlogloss:0.02596854140982032 [ Info: [40] train-mlogloss:0.02577320332949360 [ Info: [41] train-mlogloss:0.02559261794512471 [ Info: [42] train-mlogloss:0.02540631711483002 [ Info: [43] train-mlogloss:0.02523370923474431 [ Info: [44] train-mlogloss:0.02507613042679926 [ Info: [45] train-mlogloss:0.02491016108542681 [ Info: [46] train-mlogloss:0.02475834735669196 [ Info: [47] train-mlogloss:0.02460907921195030 [ Info: [48] train-mlogloss:0.02448630238572757 [ Info: [49] train-mlogloss:0.02437752718726794 [ Info: [50] train-mlogloss:0.02427807101979852 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65407360553741456 [ Info: [2] train-mlogloss:0.43228376944859820 [ Info: [3] train-mlogloss:0.30226692557334900 [ Info: [4] train-mlogloss:0.22078171412150066 [ Info: [5] train-mlogloss:0.16414098968108495 [ Info: [6] train-mlogloss:0.12582747936248778 [ Info: [7] train-mlogloss:0.09999269346396128 [ Info: [8] train-mlogloss:0.08187731429934501 [ Info: [9] train-mlogloss:0.06610311210155487 [ Info: [10] train-mlogloss:0.05600690039495627 [ Info: [11] train-mlogloss:0.04795681496461233 [ Info: [12] train-mlogloss:0.04224223482112090 [ Info: [13] train-mlogloss:0.03801355635126432 [ Info: [14] train-mlogloss:0.03594178003569444 [ Info: [15] train-mlogloss:0.03386121305326621 [ Info: [16] train-mlogloss:0.03285067009429137 [ Info: [17] train-mlogloss:0.03179116312414407 [ Info: [18] train-mlogloss:0.03112576715027292 [ Info: [19] train-mlogloss:0.03033389015744130 [ Info: [20] train-mlogloss:0.02976045527805885 [ Info: [21] train-mlogloss:0.02911066444590688 [ Info: [22] train-mlogloss:0.02864379625767469 [ Info: [23] train-mlogloss:0.02824010315661629 [ Info: [24] train-mlogloss:0.02782060615097483 [ Info: [25] train-mlogloss:0.02742160622651378 [ Info: [26] train-mlogloss:0.02706199718018373 [ Info: [27] train-mlogloss:0.02674658746769031 [ Info: [28] train-mlogloss:0.02641567301626007 [ Info: [29] train-mlogloss:0.02609296803052227 [ Info: [30] train-mlogloss:0.02580392942453424 [ Info: [31] train-mlogloss:0.02554199426745375 [ Info: [32] train-mlogloss:0.02528202302133043 [ Info: [33] train-mlogloss:0.02503956209557752 [ Info: [34] train-mlogloss:0.02482089237930874 [ Info: [35] train-mlogloss:0.02462405652428667 [ Info: [36] train-mlogloss:0.02441913430579007 [ Info: [37] train-mlogloss:0.02424329945196708 [ Info: [38] train-mlogloss:0.02411137571868797 [ Info: [39] train-mlogloss:0.02396819698624313 [ Info: [40] train-mlogloss:0.02384665884077549 [ Info: [41] train-mlogloss:0.02371960931147138 [ Info: [42] train-mlogloss:0.02360578533572455 [ Info: [43] train-mlogloss:0.02348878934048116 [ Info: [44] train-mlogloss:0.02338494918930034 [ Info: [45] train-mlogloss:0.02327395272751649 [ Info: [46] train-mlogloss:0.02317329086673756 [ Info: [47] train-mlogloss:0.02307000949668388 [ Info: [48] train-mlogloss:0.02297660302060346 [ Info: [49] train-mlogloss:0.02289198062072198 [ Info: [50] train-mlogloss:0.02281155232340097 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.56758851289749146 [ Info: [2] train-mlogloss:0.34634848515192668 [ Info: [3] train-mlogloss:0.22932885785897572 [ Info: [4] train-mlogloss:0.15787736525138218 [ Info: [5] train-mlogloss:0.11407199839750926 [ Info: [6] train-mlogloss:0.08677106370528540 [ Info: [7] train-mlogloss:0.06872100462516149 [ Info: [8] train-mlogloss:0.05618729395171006 [ Info: [9] train-mlogloss:0.04667915484557549 [ Info: [10] train-mlogloss:0.03970918613175551 [ Info: [11] train-mlogloss:0.03486759106318156 [ Info: [12] train-mlogloss:0.03333494913453857 [ Info: [13] train-mlogloss:0.03237124360476931 [ Info: [14] train-mlogloss:0.03121988819912076 [ Info: [15] train-mlogloss:0.03049427383268873 [ Info: [16] train-mlogloss:0.02955715860550602 [ Info: [17] train-mlogloss:0.02901663723712166 [ Info: [18] train-mlogloss:0.02846740432704489 [ Info: [19] train-mlogloss:0.02799144368618727 [ Info: [20] train-mlogloss:0.02753351169327895 [ Info: [21] train-mlogloss:0.02713534252097209 [ Info: [22] train-mlogloss:0.02676218901760876 [ Info: [23] train-mlogloss:0.02640180633713802 [ Info: [24] train-mlogloss:0.02608319736396273 [ Info: [25] train-mlogloss:0.02579644139856100 [ Info: [26] train-mlogloss:0.02550568341898421 [ Info: [27] train-mlogloss:0.02525587117299437 [ Info: [28] train-mlogloss:0.02498873523746927 [ Info: [29] train-mlogloss:0.02480449946286778 [ Info: [30] train-mlogloss:0.02463602772292992 [ Info: [31] train-mlogloss:0.02446701654853920 [ Info: [32] train-mlogloss:0.02431392565680047 [ Info: [33] train-mlogloss:0.02416678879720469 [ Info: [34] train-mlogloss:0.02402618061751127 [ Info: [35] train-mlogloss:0.02389662135392428 [ Info: [36] train-mlogloss:0.02375704335359236 [ Info: [37] train-mlogloss:0.02363653318335613 [ Info: [38] train-mlogloss:0.02351022434731324 [ Info: [39] train-mlogloss:0.02339604478639861 [ Info: [40] train-mlogloss:0.02327479407812158 [ Info: [41] train-mlogloss:0.02317087172530592 [ Info: [42] train-mlogloss:0.02305486805426578 [ Info: [43] train-mlogloss:0.02295391056686640 [ Info: [44] train-mlogloss:0.02286111498872439 [ Info: [45] train-mlogloss:0.02276628691392640 [ Info: [46] train-mlogloss:0.02267752277664840 [ Info: [47] train-mlogloss:0.02259418121849497 [ Info: [48] train-mlogloss:0.02251580340787768 [ Info: [49] train-mlogloss:0.02244087661306063 [ Info: [50] train-mlogloss:0.02236749412802358 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49078969041506448 [ Info: [2] train-mlogloss:0.27959700683752697 [ Info: [3] train-mlogloss:0.17365478893121084 [ Info: [4] train-mlogloss:0.11609908968210220 [ Info: [5] train-mlogloss:0.08322614381710688 [ Info: [6] train-mlogloss:0.05855189452568690 [ Info: [7] train-mlogloss:0.04618397889037927 [ Info: [8] train-mlogloss:0.03888774629682303 [ Info: [9] train-mlogloss:0.03391026259710391 [ Info: [10] train-mlogloss:0.03241718766589959 [ Info: [11] train-mlogloss:0.03090927132094900 [ Info: [12] train-mlogloss:0.02999273221318920 [ Info: [13] train-mlogloss:0.02915677053232988 [ Info: [14] train-mlogloss:0.02832832910741369 [ Info: [15] train-mlogloss:0.02772060890371601 [ Info: [16] train-mlogloss:0.02709082384283344 [ Info: [17] train-mlogloss:0.02655181712781390 [ Info: [18] train-mlogloss:0.02605590126787623 [ Info: [19] train-mlogloss:0.02566736286506057 [ Info: [20] train-mlogloss:0.02524339030807217 [ Info: [21] train-mlogloss:0.02491090160484115 [ Info: [22] train-mlogloss:0.02456753852466742 [ Info: [23] train-mlogloss:0.02428599571809173 [ Info: [24] train-mlogloss:0.02407878915158411 [ Info: [25] train-mlogloss:0.02388507251627743 [ Info: [26] train-mlogloss:0.02369903328828514 [ Info: [27] train-mlogloss:0.02353651964416107 [ Info: [28] train-mlogloss:0.02333764255667726 [ Info: [29] train-mlogloss:0.02318915413071712 [ Info: [30] train-mlogloss:0.02301466076324384 [ Info: [31] train-mlogloss:0.02287589446641505 [ Info: [32] train-mlogloss:0.02275228043086827 [ Info: [33] train-mlogloss:0.02263791736836235 [ Info: [34] train-mlogloss:0.02252976673344771 [ Info: [35] train-mlogloss:0.02242427506173651 [ Info: [36] train-mlogloss:0.02232686087799569 [ Info: [37] train-mlogloss:0.02223915119344989 [ Info: [38] train-mlogloss:0.02214864965528250 [ Info: [39] train-mlogloss:0.02206538036465645 [ Info: [40] train-mlogloss:0.02198829308462640 [ Info: [41] train-mlogloss:0.02191431572971245 [ Info: [42] train-mlogloss:0.02184977365657687 [ Info: [43] train-mlogloss:0.02177130950614810 [ Info: [44] train-mlogloss:0.02170911726541817 [ Info: [45] train-mlogloss:0.02163878339342773 [ Info: [46] train-mlogloss:0.02157284437989195 [ Info: [47] train-mlogloss:0.02151409916579723 [ Info: [48] train-mlogloss:0.02144760138976077 [ Info: [49] train-mlogloss:0.02138414884606997 [ Info: [50] train-mlogloss:0.02132885480610033 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055575450261433 [ Info: [2] train-mlogloss:0.86261711994806922 [ Info: [3] train-mlogloss:0.77047040462493899 [ Info: [4] train-mlogloss:0.69103913625081381 [ Info: [5] train-mlogloss:0.62204593896865845 [ Info: [6] train-mlogloss:0.56175146659215291 [ Info: [7] train-mlogloss:0.50879370371500654 [ Info: [8] train-mlogloss:0.46208485126495363 [ Info: [9] train-mlogloss:0.42074138681093853 [ Info: [10] train-mlogloss:0.38403579473495486 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85221674680709836 [ Info: [2] train-mlogloss:0.67795097192128495 [ Info: [3] train-mlogloss:0.54869023402531947 [ Info: [4] train-mlogloss:0.45004896402359007 [ Info: [5] train-mlogloss:0.37334135095278420 [ Info: [6] train-mlogloss:0.31288595358530680 [ Info: [7] train-mlogloss:0.26476095438003538 [ Info: [8] train-mlogloss:0.22615319927533467 [ Info: [9] train-mlogloss:0.19498657067616781 [ Info: [10] train-mlogloss:0.16816047946612039 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74397228082021083 [ Info: [2] train-mlogloss:0.53423833211263017 [ Info: [3] train-mlogloss:0.39709187587102251 [ Info: [4] train-mlogloss:0.30299836834271748 [ Info: [5] train-mlogloss:0.23658990701039631 [ Info: [6] train-mlogloss:0.18883531630039216 [ Info: [7] train-mlogloss:0.15168322443962098 [ Info: [8] train-mlogloss:0.12474722196658453 [ Info: [9] train-mlogloss:0.10475408027569454 [ Info: [10] train-mlogloss:0.08939861903587977 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64599867184956872 [ Info: [2] train-mlogloss:0.42274405717849733 [ Info: [3] train-mlogloss:0.29249221205711362 [ Info: [4] train-mlogloss:0.21137000143527984 [ Info: [5] train-mlogloss:0.15535596301158269 [ Info: [6] train-mlogloss:0.11812637011210124 [ Info: [7] train-mlogloss:0.09335203677415847 [ Info: [8] train-mlogloss:0.07684825082619985 [ Info: [9] train-mlogloss:0.06459323992331822 [ Info: [10] train-mlogloss:0.05597985371947289 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55825582106908167 [ Info: [2] train-mlogloss:0.33637240131696067 [ Info: [3] train-mlogloss:0.21974493761857350 [ Info: [4] train-mlogloss:0.14893323957920074 [ Info: [5] train-mlogloss:0.10637957960367203 [ Info: [6] train-mlogloss:0.08128011400500933 [ Info: [7] train-mlogloss:0.06487294097741444 [ Info: [8] train-mlogloss:0.05409168370068073 [ Info: [9] train-mlogloss:0.04728609368205070 [ Info: [10] train-mlogloss:0.04309307634830475 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48049093882242838 [ Info: [2] train-mlogloss:0.26950267752011620 [ Info: [3] train-mlogloss:0.16881357133388519 [ Info: [4] train-mlogloss:0.11260282814502716 [ Info: [5] train-mlogloss:0.08168893853823343 [ Info: [6] train-mlogloss:0.06301643157998721 [ Info: [7] train-mlogloss:0.05296707890927792 [ Info: [8] train-mlogloss:0.04608190530290206 [ Info: [9] train-mlogloss:0.04348286883284648 [ Info: [10] train-mlogloss:0.04205933776994546 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055575450261433 [ Info: [2] train-mlogloss:0.86261711994806922 [ Info: [3] train-mlogloss:0.77047040462493899 [ Info: [4] train-mlogloss:0.69103913625081381 [ Info: [5] train-mlogloss:0.62204593896865845 [ Info: [6] train-mlogloss:0.56175146659215291 [ Info: [7] train-mlogloss:0.50879370371500654 [ Info: [8] train-mlogloss:0.46208485126495363 [ Info: [9] train-mlogloss:0.42074138681093853 [ Info: [10] train-mlogloss:0.38403579473495486 [ Info: [11] train-mlogloss:0.35136233568191527 [ Info: [12] train-mlogloss:0.32221114595731098 [ Info: [13] train-mlogloss:0.29615002234776816 [ Info: [14] train-mlogloss:0.27280955851078031 [ Info: [15] train-mlogloss:0.25187198102474212 [ Info: [16] train-mlogloss:0.23306244512399038 [ Info: [17] train-mlogloss:0.21614231447378796 [ Info: [18] train-mlogloss:0.19996627668539682 [ Info: [19] train-mlogloss:0.18531617184480031 [ Info: [20] train-mlogloss:0.17202999691168466 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85221674680709836 [ Info: [2] train-mlogloss:0.67795097192128495 [ Info: [3] train-mlogloss:0.54869023402531947 [ Info: [4] train-mlogloss:0.45004896402359007 [ Info: [5] train-mlogloss:0.37334135095278420 [ Info: [6] train-mlogloss:0.31288595358530680 [ Info: [7] train-mlogloss:0.26476095438003538 [ Info: [8] train-mlogloss:0.22615319927533467 [ Info: [9] train-mlogloss:0.19498657067616781 [ Info: [10] train-mlogloss:0.16816047946612039 [ Info: [11] train-mlogloss:0.14547254711389543 [ Info: [12] train-mlogloss:0.12830138087272644 [ Info: [13] train-mlogloss:0.11412270675102870 [ Info: [14] train-mlogloss:0.10161832998196284 [ Info: [15] train-mlogloss:0.09148165161410968 [ Info: [16] train-mlogloss:0.08291202634572983 [ Info: [17] train-mlogloss:0.07562836055954297 [ Info: [18] train-mlogloss:0.06940381770332654 [ Info: [19] train-mlogloss:0.06408548019826413 [ Info: [20] train-mlogloss:0.05973616855839888 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74397228082021083 [ Info: [2] train-mlogloss:0.53423833211263017 [ Info: [3] train-mlogloss:0.39709187587102251 [ Info: [4] train-mlogloss:0.30299836834271748 [ Info: [5] train-mlogloss:0.23658990701039631 [ Info: [6] train-mlogloss:0.18883531630039216 [ Info: [7] train-mlogloss:0.15168322443962098 [ Info: [8] train-mlogloss:0.12474722196658453 [ Info: [9] train-mlogloss:0.10475408027569454 [ Info: [10] train-mlogloss:0.08939861903587977 [ Info: [11] train-mlogloss:0.07747921253244082 [ Info: [12] train-mlogloss:0.06808640157183012 [ Info: [13] train-mlogloss:0.06083069418867429 [ Info: [14] train-mlogloss:0.05567590246597926 [ Info: [15] train-mlogloss:0.05157722150286038 [ Info: [16] train-mlogloss:0.04815329313278198 [ Info: [17] train-mlogloss:0.04559774889300267 [ Info: [18] train-mlogloss:0.04451283459862073 [ Info: [19] train-mlogloss:0.04353984950731198 [ Info: [20] train-mlogloss:0.04268683175245921 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64599867184956872 [ Info: [2] train-mlogloss:0.42274405717849733 [ Info: [3] train-mlogloss:0.29249221205711362 [ Info: [4] train-mlogloss:0.21137000143527984 [ Info: [5] train-mlogloss:0.15535596301158269 [ Info: [6] train-mlogloss:0.11812637011210124 [ Info: [7] train-mlogloss:0.09335203677415847 [ Info: [8] train-mlogloss:0.07684825082619985 [ Info: [9] train-mlogloss:0.06459323992331822 [ Info: [10] train-mlogloss:0.05597985371947289 [ Info: [11] train-mlogloss:0.05015227360030015 [ Info: [12] train-mlogloss:0.04574317355950674 [ Info: [13] train-mlogloss:0.04278507428864638 [ Info: [14] train-mlogloss:0.04155376408249140 [ Info: [15] train-mlogloss:0.04065188450117906 [ Info: [16] train-mlogloss:0.04024946991354227 [ Info: [17] train-mlogloss:0.03989858619868755 [ Info: [18] train-mlogloss:0.03958376472194990 [ Info: [19] train-mlogloss:0.03924708840747675 [ Info: [20] train-mlogloss:0.03894378572702408 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55825582106908167 [ Info: [2] train-mlogloss:0.33637240131696067 [ Info: [3] train-mlogloss:0.21974493761857350 [ Info: [4] train-mlogloss:0.14893323957920074 [ Info: [5] train-mlogloss:0.10637957960367203 [ Info: [6] train-mlogloss:0.08128011400500933 [ Info: [7] train-mlogloss:0.06487294097741444 [ Info: [8] train-mlogloss:0.05409168370068073 [ Info: [9] train-mlogloss:0.04728609368205070 [ Info: [10] train-mlogloss:0.04309307634830475 [ Info: [11] train-mlogloss:0.04111815714587768 [ Info: [12] train-mlogloss:0.04010348579535881 [ Info: [13] train-mlogloss:0.03961385811368624 [ Info: [14] train-mlogloss:0.03920299420754115 [ Info: [15] train-mlogloss:0.03885425804803769 [ Info: [16] train-mlogloss:0.03849257777134577 [ Info: [17] train-mlogloss:0.03816284208248059 [ Info: [18] train-mlogloss:0.03786753301819166 [ Info: [19] train-mlogloss:0.03754998169839383 [ Info: [20] train-mlogloss:0.03727586443225542 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48049093882242838 [ Info: [2] train-mlogloss:0.26950267752011620 [ Info: [3] train-mlogloss:0.16881357133388519 [ Info: [4] train-mlogloss:0.11260282814502716 [ Info: [5] train-mlogloss:0.08168893853823343 [ Info: [6] train-mlogloss:0.06301643157998721 [ Info: [7] train-mlogloss:0.05296707890927792 [ Info: [8] train-mlogloss:0.04608190530290206 [ Info: [9] train-mlogloss:0.04348286883284648 [ Info: [10] train-mlogloss:0.04205933776994546 [ Info: [11] train-mlogloss:0.04084075885514418 [ Info: [12] train-mlogloss:0.04027283266186714 [ Info: [13] train-mlogloss:0.03981516335159540 [ Info: [14] train-mlogloss:0.03941841014971336 [ Info: [15] train-mlogloss:0.03897172932823499 [ Info: [16] train-mlogloss:0.03857859574258327 [ Info: [17] train-mlogloss:0.03825663079818090 [ Info: [18] train-mlogloss:0.03789973131070534 [ Info: [19] train-mlogloss:0.03759026570245624 [ Info: [20] train-mlogloss:0.03728915880744656 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055575450261433 [ Info: [2] train-mlogloss:0.86261711994806922 [ Info: [3] train-mlogloss:0.77047040462493899 [ Info: [4] train-mlogloss:0.69103913625081381 [ Info: [5] train-mlogloss:0.62204593896865845 [ Info: [6] train-mlogloss:0.56175146659215291 [ Info: [7] train-mlogloss:0.50879370371500654 [ Info: [8] train-mlogloss:0.46208485126495363 [ Info: [9] train-mlogloss:0.42074138681093853 [ Info: [10] train-mlogloss:0.38403579473495486 [ Info: [11] train-mlogloss:0.35136233568191527 [ Info: [12] train-mlogloss:0.32221114595731098 [ Info: [13] train-mlogloss:0.29615002234776816 [ Info: [14] train-mlogloss:0.27280955851078031 [ Info: [15] train-mlogloss:0.25187198102474212 [ Info: [16] train-mlogloss:0.23306244512399038 [ Info: [17] train-mlogloss:0.21614231447378796 [ Info: [18] train-mlogloss:0.19996627668539682 [ Info: [19] train-mlogloss:0.18531617184480031 [ Info: [20] train-mlogloss:0.17202999691168466 [ Info: [21] train-mlogloss:0.16015179852644604 [ Info: [22] train-mlogloss:0.14934981713692347 [ Info: [23] train-mlogloss:0.13951425333817799 [ Info: [24] train-mlogloss:0.13079868892828622 [ Info: [25] train-mlogloss:0.12310197482506434 [ Info: [26] train-mlogloss:0.11609813580910365 [ Info: [27] train-mlogloss:0.10961062093575795 [ Info: [28] train-mlogloss:0.10346667985121409 [ Info: [29] train-mlogloss:0.09802387436230978 [ Info: [30] train-mlogloss:0.09302569816509883 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85221674680709836 [ Info: [2] train-mlogloss:0.67795097192128495 [ Info: [3] train-mlogloss:0.54869023402531947 [ Info: [4] train-mlogloss:0.45004896402359007 [ Info: [5] train-mlogloss:0.37334135095278420 [ Info: [6] train-mlogloss:0.31288595358530680 [ Info: [7] train-mlogloss:0.26476095438003538 [ Info: [8] train-mlogloss:0.22615319927533467 [ Info: [9] train-mlogloss:0.19498657067616781 [ Info: [10] train-mlogloss:0.16816047946612039 [ Info: [11] train-mlogloss:0.14547254711389543 [ Info: [12] train-mlogloss:0.12830138087272644 [ Info: [13] train-mlogloss:0.11412270675102870 [ Info: [14] train-mlogloss:0.10161832998196284 [ Info: [15] train-mlogloss:0.09148165161410968 [ Info: [16] train-mlogloss:0.08291202634572983 [ Info: [17] train-mlogloss:0.07562836055954297 [ Info: [18] train-mlogloss:0.06940381770332654 [ Info: [19] train-mlogloss:0.06408548019826413 [ Info: [20] train-mlogloss:0.05973616855839888 [ Info: [21] train-mlogloss:0.05628174960613250 [ Info: [22] train-mlogloss:0.05334454889098803 [ Info: [23] train-mlogloss:0.05074473013480504 [ Info: [24] train-mlogloss:0.04847970237334569 [ Info: [25] train-mlogloss:0.04647711085776488 [ Info: [26] train-mlogloss:0.04504922065883875 [ Info: [27] train-mlogloss:0.04424919841190179 [ Info: [28] train-mlogloss:0.04358793771515290 [ Info: [29] train-mlogloss:0.04306957782556613 [ Info: [30] train-mlogloss:0.04250881666938464 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74397228082021083 [ Info: [2] train-mlogloss:0.53423833211263017 [ Info: [3] train-mlogloss:0.39709187587102251 [ Info: [4] train-mlogloss:0.30299836834271748 [ Info: [5] train-mlogloss:0.23658990701039631 [ Info: [6] train-mlogloss:0.18883531630039216 [ Info: [7] train-mlogloss:0.15168322443962098 [ Info: [8] train-mlogloss:0.12474722196658453 [ Info: [9] train-mlogloss:0.10475408027569454 [ Info: [10] train-mlogloss:0.08939861903587977 [ Info: [11] train-mlogloss:0.07747921253244082 [ Info: [12] train-mlogloss:0.06808640157183012 [ Info: [13] train-mlogloss:0.06083069418867429 [ Info: [14] train-mlogloss:0.05567590246597926 [ Info: [15] train-mlogloss:0.05157722150286038 [ Info: [16] train-mlogloss:0.04815329313278198 [ Info: [17] train-mlogloss:0.04559774889300267 [ Info: [18] train-mlogloss:0.04451283459862073 [ Info: [19] train-mlogloss:0.04353984950731198 [ Info: [20] train-mlogloss:0.04268683175245921 [ Info: [21] train-mlogloss:0.04209018067767223 [ Info: [22] train-mlogloss:0.04156717321525017 [ Info: [23] train-mlogloss:0.04109394937753677 [ Info: [24] train-mlogloss:0.04023271638900042 [ Info: [25] train-mlogloss:0.03991024891535441 [ Info: [26] train-mlogloss:0.03966028974701961 [ Info: [27] train-mlogloss:0.03941488768905401 [ Info: [28] train-mlogloss:0.03918052428712448 [ Info: [29] train-mlogloss:0.03896814121554295 [ Info: [30] train-mlogloss:0.03875541905562083 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64599867184956872 [ Info: [2] train-mlogloss:0.42274405717849733 [ Info: [3] train-mlogloss:0.29249221205711362 [ Info: [4] train-mlogloss:0.21137000143527984 [ Info: [5] train-mlogloss:0.15535596301158269 [ Info: [6] train-mlogloss:0.11812637011210124 [ Info: [7] train-mlogloss:0.09335203677415847 [ Info: [8] train-mlogloss:0.07684825082619985 [ Info: [9] train-mlogloss:0.06459323992331822 [ Info: [10] train-mlogloss:0.05597985371947289 [ Info: [11] train-mlogloss:0.05015227360030015 [ Info: [12] train-mlogloss:0.04574317355950674 [ Info: [13] train-mlogloss:0.04278507428864638 [ Info: [14] train-mlogloss:0.04155376408249140 [ Info: [15] train-mlogloss:0.04065188450117906 [ Info: [16] train-mlogloss:0.04024946991354227 [ Info: [17] train-mlogloss:0.03989858619868755 [ Info: [18] train-mlogloss:0.03958376472194990 [ Info: [19] train-mlogloss:0.03924708840747675 [ Info: [20] train-mlogloss:0.03894378572702408 [ Info: [21] train-mlogloss:0.03867248091846705 [ Info: [22] train-mlogloss:0.03838035434484482 [ Info: [23] train-mlogloss:0.03813051742811998 [ Info: [24] train-mlogloss:0.03788532853126526 [ Info: [25] train-mlogloss:0.03763958655297756 [ Info: [26] train-mlogloss:0.03741888338079055 [ Info: [27] train-mlogloss:0.03719295962403218 [ Info: [28] train-mlogloss:0.03697560458133618 [ Info: [29] train-mlogloss:0.03677702492723862 [ Info: [30] train-mlogloss:0.03656955120464166 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55825582106908167 [ Info: [2] train-mlogloss:0.33637240131696067 [ Info: [3] train-mlogloss:0.21974493761857350 [ Info: [4] train-mlogloss:0.14893323957920074 [ Info: [5] train-mlogloss:0.10637957960367203 [ Info: [6] train-mlogloss:0.08128011400500933 [ Info: [7] train-mlogloss:0.06487294097741444 [ Info: [8] train-mlogloss:0.05409168370068073 [ Info: [9] train-mlogloss:0.04728609368205070 [ Info: [10] train-mlogloss:0.04309307634830475 [ Info: [11] train-mlogloss:0.04111815714587768 [ Info: [12] train-mlogloss:0.04010348579535881 [ Info: [13] train-mlogloss:0.03961385811368624 [ Info: [14] train-mlogloss:0.03920299420754115 [ Info: [15] train-mlogloss:0.03885425804803769 [ Info: [16] train-mlogloss:0.03849257777134577 [ Info: [17] train-mlogloss:0.03816284208248059 [ Info: [18] train-mlogloss:0.03786753301819166 [ Info: [19] train-mlogloss:0.03754998169839383 [ Info: [20] train-mlogloss:0.03727586443225542 [ Info: [21] train-mlogloss:0.03701874469717344 [ Info: [22] train-mlogloss:0.03674088167647521 [ Info: [23] train-mlogloss:0.03650571166848143 [ Info: [24] train-mlogloss:0.03625744711607694 [ Info: [25] train-mlogloss:0.03601344854881366 [ Info: [26] train-mlogloss:0.03580418201784293 [ Info: [27] train-mlogloss:0.03556965969502926 [ Info: [28] train-mlogloss:0.03537752800310651 [ Info: [29] train-mlogloss:0.03515686649829149 [ Info: [30] train-mlogloss:0.03495395851631959 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48049093882242838 [ Info: [2] train-mlogloss:0.26950267752011620 [ Info: [3] train-mlogloss:0.16881357133388519 [ Info: [4] train-mlogloss:0.11260282814502716 [ Info: [5] train-mlogloss:0.08168893853823343 [ Info: [6] train-mlogloss:0.06301643157998721 [ Info: [7] train-mlogloss:0.05296707890927792 [ Info: [8] train-mlogloss:0.04608190530290206 [ Info: [9] train-mlogloss:0.04348286883284648 [ Info: [10] train-mlogloss:0.04205933776994546 [ Info: [11] train-mlogloss:0.04084075885514418 [ Info: [12] train-mlogloss:0.04027283266186714 [ Info: [13] train-mlogloss:0.03981516335159540 [ Info: [14] train-mlogloss:0.03941841014971336 [ Info: [15] train-mlogloss:0.03897172932823499 [ Info: [16] train-mlogloss:0.03857859574258327 [ Info: [17] train-mlogloss:0.03825663079818090 [ Info: [18] train-mlogloss:0.03789973131070534 [ Info: [19] train-mlogloss:0.03759026570245624 [ Info: [20] train-mlogloss:0.03728915880744656 [ Info: [21] train-mlogloss:0.03698304283743103 [ Info: [22] train-mlogloss:0.03674403499811887 [ Info: [23] train-mlogloss:0.03646160760273536 [ Info: [24] train-mlogloss:0.03618839410444101 [ Info: [25] train-mlogloss:0.03592828314751387 [ Info: [26] train-mlogloss:0.03571792649726073 [ Info: [27] train-mlogloss:0.03545791673784455 [ Info: [28] train-mlogloss:0.03519555811459819 [ Info: [29] train-mlogloss:0.03496448600043853 [ Info: [30] train-mlogloss:0.03477167974536618 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055575450261433 [ Info: [2] train-mlogloss:0.86261711994806922 [ Info: [3] train-mlogloss:0.77047040462493899 [ Info: [4] train-mlogloss:0.69103913625081381 [ Info: [5] train-mlogloss:0.62204593896865845 [ Info: [6] train-mlogloss:0.56175146659215291 [ Info: [7] train-mlogloss:0.50879370371500654 [ Info: [8] train-mlogloss:0.46208485126495363 [ Info: [9] train-mlogloss:0.42074138681093853 [ Info: [10] train-mlogloss:0.38403579473495486 [ Info: [11] train-mlogloss:0.35136233568191527 [ Info: [12] train-mlogloss:0.32221114595731098 [ Info: [13] train-mlogloss:0.29615002234776816 [ Info: [14] train-mlogloss:0.27280955851078031 [ Info: [15] train-mlogloss:0.25187198102474212 [ Info: [16] train-mlogloss:0.23306244512399038 [ Info: [17] train-mlogloss:0.21614231447378796 [ Info: [18] train-mlogloss:0.19996627668539682 [ Info: [19] train-mlogloss:0.18531617184480031 [ Info: [20] train-mlogloss:0.17202999691168466 [ Info: [21] train-mlogloss:0.16015179852644604 [ Info: [22] train-mlogloss:0.14934981713692347 [ Info: [23] train-mlogloss:0.13951425333817799 [ Info: [24] train-mlogloss:0.13079868892828622 [ Info: [25] train-mlogloss:0.12310197482506434 [ Info: [26] train-mlogloss:0.11609813580910365 [ Info: [27] train-mlogloss:0.10961062093575795 [ Info: [28] train-mlogloss:0.10346667985121409 [ Info: [29] train-mlogloss:0.09802387436230978 [ Info: [30] train-mlogloss:0.09302569816509883 [ Info: [31] train-mlogloss:0.08843014503518741 [ Info: [32] train-mlogloss:0.08419925644993782 [ Info: [33] train-mlogloss:0.08029903704921404 [ Info: [34] train-mlogloss:0.07670134221514066 [ Info: [35] train-mlogloss:0.07337363416949907 [ Info: [36] train-mlogloss:0.07029392331838608 [ Info: [37] train-mlogloss:0.06743971481919289 [ Info: [38] train-mlogloss:0.06488317370414734 [ Info: [39] train-mlogloss:0.06257691770792008 [ Info: [40] train-mlogloss:0.06042457215487957 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85221674680709836 [ Info: [2] train-mlogloss:0.67795097192128495 [ Info: [3] train-mlogloss:0.54869023402531947 [ Info: [4] train-mlogloss:0.45004896402359007 [ Info: [5] train-mlogloss:0.37334135095278420 [ Info: [6] train-mlogloss:0.31288595358530680 [ Info: [7] train-mlogloss:0.26476095438003538 [ Info: [8] train-mlogloss:0.22615319927533467 [ Info: [9] train-mlogloss:0.19498657067616781 [ Info: [10] train-mlogloss:0.16816047946612039 [ Info: [11] train-mlogloss:0.14547254711389543 [ Info: [12] train-mlogloss:0.12830138087272644 [ Info: [13] train-mlogloss:0.11412270675102870 [ Info: [14] train-mlogloss:0.10161832998196284 [ Info: [15] train-mlogloss:0.09148165161410968 [ Info: [16] train-mlogloss:0.08291202634572983 [ Info: [17] train-mlogloss:0.07562836055954297 [ Info: [18] train-mlogloss:0.06940381770332654 [ Info: [19] train-mlogloss:0.06408548019826413 [ Info: [20] train-mlogloss:0.05973616855839888 [ Info: [21] train-mlogloss:0.05628174960613250 [ Info: [22] train-mlogloss:0.05334454889098803 [ Info: [23] train-mlogloss:0.05074473013480504 [ Info: [24] train-mlogloss:0.04847970237334569 [ Info: [25] train-mlogloss:0.04647711085776488 [ Info: [26] train-mlogloss:0.04504922065883875 [ Info: [27] train-mlogloss:0.04424919841190179 [ Info: [28] train-mlogloss:0.04358793771515290 [ Info: [29] train-mlogloss:0.04306957782556613 [ Info: [30] train-mlogloss:0.04250881666938464 [ Info: [31] train-mlogloss:0.04206278281907241 [ Info: [32] train-mlogloss:0.04171620617310206 [ Info: [33] train-mlogloss:0.04139850423981746 [ Info: [34] train-mlogloss:0.04078709678103527 [ Info: [35] train-mlogloss:0.04056784256050984 [ Info: [36] train-mlogloss:0.04038158374528090 [ Info: [37] train-mlogloss:0.04020758991440137 [ Info: [38] train-mlogloss:0.04004476839055618 [ Info: [39] train-mlogloss:0.03987435714652141 [ Info: [40] train-mlogloss:0.03972265715400378 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74397228082021083 [ Info: [2] train-mlogloss:0.53423833211263017 [ Info: [3] train-mlogloss:0.39709187587102251 [ Info: [4] train-mlogloss:0.30299836834271748 [ Info: [5] train-mlogloss:0.23658990701039631 [ Info: [6] train-mlogloss:0.18883531630039216 [ Info: [7] train-mlogloss:0.15168322443962098 [ Info: [8] train-mlogloss:0.12474722196658453 [ Info: [9] train-mlogloss:0.10475408027569454 [ Info: [10] train-mlogloss:0.08939861903587977 [ Info: [11] train-mlogloss:0.07747921253244082 [ Info: [12] train-mlogloss:0.06808640157183012 [ Info: [13] train-mlogloss:0.06083069418867429 [ Info: [14] train-mlogloss:0.05567590246597926 [ Info: [15] train-mlogloss:0.05157722150286038 [ Info: [16] train-mlogloss:0.04815329313278198 [ Info: [17] train-mlogloss:0.04559774889300267 [ Info: [18] train-mlogloss:0.04451283459862073 [ Info: [19] train-mlogloss:0.04353984950731198 [ Info: [20] train-mlogloss:0.04268683175245921 [ Info: [21] train-mlogloss:0.04209018067767223 [ Info: [22] train-mlogloss:0.04156717321525017 [ Info: [23] train-mlogloss:0.04109394937753677 [ Info: [24] train-mlogloss:0.04023271638900042 [ Info: [25] train-mlogloss:0.03991024891535441 [ Info: [26] train-mlogloss:0.03966028974701961 [ Info: [27] train-mlogloss:0.03941488768905401 [ Info: [28] train-mlogloss:0.03918052428712448 [ Info: [29] train-mlogloss:0.03896814121554295 [ Info: [30] train-mlogloss:0.03875541905562083 [ Info: [31] train-mlogloss:0.03855395338187615 [ Info: [32] train-mlogloss:0.03836067737390598 [ Info: [33] train-mlogloss:0.03817600045353174 [ Info: [34] train-mlogloss:0.03798689583937327 [ Info: [35] train-mlogloss:0.03781933190921943 [ Info: [36] train-mlogloss:0.03764106653009851 [ Info: [37] train-mlogloss:0.03747471388429403 [ Info: [38] train-mlogloss:0.03732148865237832 [ Info: [39] train-mlogloss:0.03716385044778387 [ Info: [40] train-mlogloss:0.03701509612301986 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64599867184956872 [ Info: [2] train-mlogloss:0.42274405717849733 [ Info: [3] train-mlogloss:0.29249221205711362 [ Info: [4] train-mlogloss:0.21137000143527984 [ Info: [5] train-mlogloss:0.15535596301158269 [ Info: [6] train-mlogloss:0.11812637011210124 [ Info: [7] train-mlogloss:0.09335203677415847 [ Info: [8] train-mlogloss:0.07684825082619985 [ Info: [9] train-mlogloss:0.06459323992331822 [ Info: [10] train-mlogloss:0.05597985371947289 [ Info: [11] train-mlogloss:0.05015227360030015 [ Info: [12] train-mlogloss:0.04574317355950674 [ Info: [13] train-mlogloss:0.04278507428864638 [ Info: [14] train-mlogloss:0.04155376408249140 [ Info: [15] train-mlogloss:0.04065188450117906 [ Info: [16] train-mlogloss:0.04024946991354227 [ Info: [17] train-mlogloss:0.03989858619868755 [ Info: [18] train-mlogloss:0.03958376472194990 [ Info: [19] train-mlogloss:0.03924708840747675 [ Info: [20] train-mlogloss:0.03894378572702408 [ Info: [21] train-mlogloss:0.03867248091846705 [ Info: [22] train-mlogloss:0.03838035434484482 [ Info: [23] train-mlogloss:0.03813051742811998 [ Info: [24] train-mlogloss:0.03788532853126526 [ Info: [25] train-mlogloss:0.03763958655297756 [ Info: [26] train-mlogloss:0.03741888338079055 [ Info: [27] train-mlogloss:0.03719295962403218 [ Info: [28] train-mlogloss:0.03697560458133618 [ Info: [29] train-mlogloss:0.03677702492723862 [ Info: [30] train-mlogloss:0.03656955120464166 [ Info: [31] train-mlogloss:0.03638987440615892 [ Info: [32] train-mlogloss:0.03618591642628113 [ Info: [33] train-mlogloss:0.03600071063265205 [ Info: [34] train-mlogloss:0.03582148517171542 [ Info: [35] train-mlogloss:0.03563711072007815 [ Info: [36] train-mlogloss:0.03547307573258877 [ Info: [37] train-mlogloss:0.03529534296443065 [ Info: [38] train-mlogloss:0.03512713650241494 [ Info: [39] train-mlogloss:0.03497555041064819 [ Info: [40] train-mlogloss:0.03480568317075571 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55825582106908167 [ Info: [2] train-mlogloss:0.33637240131696067 [ Info: [3] train-mlogloss:0.21974493761857350 [ Info: [4] train-mlogloss:0.14893323957920074 [ Info: [5] train-mlogloss:0.10637957960367203 [ Info: [6] train-mlogloss:0.08128011400500933 [ Info: [7] train-mlogloss:0.06487294097741444 [ Info: [8] train-mlogloss:0.05409168370068073 [ Info: [9] train-mlogloss:0.04728609368205070 [ Info: [10] train-mlogloss:0.04309307634830475 [ Info: [11] train-mlogloss:0.04111815714587768 [ Info: [12] train-mlogloss:0.04010348579535881 [ Info: [13] train-mlogloss:0.03961385811368624 [ Info: [14] train-mlogloss:0.03920299420754115 [ Info: [15] train-mlogloss:0.03885425804803769 [ Info: [16] train-mlogloss:0.03849257777134577 [ Info: [17] train-mlogloss:0.03816284208248059 [ Info: [18] train-mlogloss:0.03786753301819166 [ Info: [19] train-mlogloss:0.03754998169839383 [ Info: [20] train-mlogloss:0.03727586443225542 [ Info: [21] train-mlogloss:0.03701874469717344 [ Info: [22] train-mlogloss:0.03674088167647521 [ Info: [23] train-mlogloss:0.03650571166848143 [ Info: [24] train-mlogloss:0.03625744711607694 [ Info: [25] train-mlogloss:0.03601344854881366 [ Info: [26] train-mlogloss:0.03580418201784293 [ Info: [27] train-mlogloss:0.03556965969502926 [ Info: [28] train-mlogloss:0.03537752800310651 [ Info: [29] train-mlogloss:0.03515686649829149 [ Info: [30] train-mlogloss:0.03495395851631959 [ Info: [31] train-mlogloss:0.03473802829782168 [ Info: [32] train-mlogloss:0.03455799467240771 [ Info: [33] train-mlogloss:0.03436375118792057 [ Info: [34] train-mlogloss:0.03415346407641967 [ Info: [35] train-mlogloss:0.03396161478012800 [ Info: [36] train-mlogloss:0.03379074039558570 [ Info: [37] train-mlogloss:0.03359567768250903 [ Info: [38] train-mlogloss:0.03344372761746248 [ Info: [39] train-mlogloss:0.03325344750657678 [ Info: [40] train-mlogloss:0.03307901661843062 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48049093882242838 [ Info: [2] train-mlogloss:0.26950267752011620 [ Info: [3] train-mlogloss:0.16881357133388519 [ Info: [4] train-mlogloss:0.11260282814502716 [ Info: [5] train-mlogloss:0.08168893853823343 [ Info: [6] train-mlogloss:0.06301643157998721 [ Info: [7] train-mlogloss:0.05296707890927792 [ Info: [8] train-mlogloss:0.04608190530290206 [ Info: [9] train-mlogloss:0.04348286883284648 [ Info: [10] train-mlogloss:0.04205933776994546 [ Info: [11] train-mlogloss:0.04084075885514418 [ Info: [12] train-mlogloss:0.04027283266186714 [ Info: [13] train-mlogloss:0.03981516335159540 [ Info: [14] train-mlogloss:0.03941841014971336 [ Info: [15] train-mlogloss:0.03897172932823499 [ Info: [16] train-mlogloss:0.03857859574258327 [ Info: [17] train-mlogloss:0.03825663079818090 [ Info: [18] train-mlogloss:0.03789973131070534 [ Info: [19] train-mlogloss:0.03759026570245624 [ Info: [20] train-mlogloss:0.03728915880744656 [ Info: [21] train-mlogloss:0.03698304283743103 [ Info: [22] train-mlogloss:0.03674403499811887 [ Info: [23] train-mlogloss:0.03646160760273536 [ Info: [24] train-mlogloss:0.03618839410444101 [ Info: [25] train-mlogloss:0.03592828314751387 [ Info: [26] train-mlogloss:0.03571792649726073 [ Info: [27] train-mlogloss:0.03545791673784455 [ Info: [28] train-mlogloss:0.03519555811459819 [ Info: [29] train-mlogloss:0.03496448600043853 [ Info: [30] train-mlogloss:0.03477167974536618 [ Info: [31] train-mlogloss:0.03454312257468700 [ Info: [32] train-mlogloss:0.03429332264388601 [ Info: [33] train-mlogloss:0.03409029213090738 [ Info: [34] train-mlogloss:0.03389842535679539 [ Info: [35] train-mlogloss:0.03369013935948412 [ Info: [36] train-mlogloss:0.03350080234929919 [ Info: [37] train-mlogloss:0.03328564127286275 [ Info: [38] train-mlogloss:0.03307659663880864 [ Info: [39] train-mlogloss:0.03288868558593094 [ Info: [40] train-mlogloss:0.03272182753930489 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97055575450261433 [ Info: [2] train-mlogloss:0.86261711994806922 [ Info: [3] train-mlogloss:0.77047040462493899 [ Info: [4] train-mlogloss:0.69103913625081381 [ Info: [5] train-mlogloss:0.62204593896865845 [ Info: [6] train-mlogloss:0.56175146659215291 [ Info: [7] train-mlogloss:0.50879370371500654 [ Info: [8] train-mlogloss:0.46208485126495363 [ Info: [9] train-mlogloss:0.42074138681093853 [ Info: [10] train-mlogloss:0.38403579473495486 [ Info: [11] train-mlogloss:0.35136233568191527 [ Info: [12] train-mlogloss:0.32221114595731098 [ Info: [13] train-mlogloss:0.29615002234776816 [ Info: [14] train-mlogloss:0.27280955851078031 [ Info: [15] train-mlogloss:0.25187198102474212 [ Info: [16] train-mlogloss:0.23306244512399038 [ Info: [17] train-mlogloss:0.21614231447378796 [ Info: [18] train-mlogloss:0.19996627668539682 [ Info: [19] train-mlogloss:0.18531617184480031 [ Info: [20] train-mlogloss:0.17202999691168466 [ Info: [21] train-mlogloss:0.16015179852644604 [ Info: [22] train-mlogloss:0.14934981713692347 [ Info: [23] train-mlogloss:0.13951425333817799 [ Info: [24] train-mlogloss:0.13079868892828622 [ Info: [25] train-mlogloss:0.12310197482506434 [ Info: [26] train-mlogloss:0.11609813580910365 [ Info: [27] train-mlogloss:0.10961062093575795 [ Info: [28] train-mlogloss:0.10346667985121409 [ Info: [29] train-mlogloss:0.09802387436230978 [ Info: [30] train-mlogloss:0.09302569816509883 [ Info: [31] train-mlogloss:0.08843014503518741 [ Info: [32] train-mlogloss:0.08419925644993782 [ Info: [33] train-mlogloss:0.08029903704921404 [ Info: [34] train-mlogloss:0.07670134221514066 [ Info: [35] train-mlogloss:0.07337363416949907 [ Info: [36] train-mlogloss:0.07029392331838608 [ Info: [37] train-mlogloss:0.06743971481919289 [ Info: [38] train-mlogloss:0.06488317370414734 [ Info: [39] train-mlogloss:0.06257691770792008 [ Info: [40] train-mlogloss:0.06042457215487957 [ Info: [41] train-mlogloss:0.05858732166389624 [ Info: [42] train-mlogloss:0.05687979094684124 [ Info: [43] train-mlogloss:0.05529072200258573 [ Info: [44] train-mlogloss:0.05384793303906918 [ Info: [45] train-mlogloss:0.05246519953012466 [ Info: [46] train-mlogloss:0.05119191132485867 [ Info: [47] train-mlogloss:0.04996694703896840 [ Info: [48] train-mlogloss:0.04881928235292435 [ Info: [49] train-mlogloss:0.04789563660820325 [ Info: [50] train-mlogloss:0.04695680536329747 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85221674680709836 [ Info: [2] train-mlogloss:0.67795097192128495 [ Info: [3] train-mlogloss:0.54869023402531947 [ Info: [4] train-mlogloss:0.45004896402359007 [ Info: [5] train-mlogloss:0.37334135095278420 [ Info: [6] train-mlogloss:0.31288595358530680 [ Info: [7] train-mlogloss:0.26476095438003538 [ Info: [8] train-mlogloss:0.22615319927533467 [ Info: [9] train-mlogloss:0.19498657067616781 [ Info: [10] train-mlogloss:0.16816047946612039 [ Info: [11] train-mlogloss:0.14547254711389543 [ Info: [12] train-mlogloss:0.12830138087272644 [ Info: [13] train-mlogloss:0.11412270675102870 [ Info: [14] train-mlogloss:0.10161832998196284 [ Info: [15] train-mlogloss:0.09148165161410968 [ Info: [16] train-mlogloss:0.08291202634572983 [ Info: [17] train-mlogloss:0.07562836055954297 [ Info: [18] train-mlogloss:0.06940381770332654 [ Info: [19] train-mlogloss:0.06408548019826413 [ Info: [20] train-mlogloss:0.05973616855839888 [ Info: [21] train-mlogloss:0.05628174960613250 [ Info: [22] train-mlogloss:0.05334454889098803 [ Info: [23] train-mlogloss:0.05074473013480504 [ Info: [24] train-mlogloss:0.04847970237334569 [ Info: [25] train-mlogloss:0.04647711085776488 [ Info: [26] train-mlogloss:0.04504922065883875 [ Info: [27] train-mlogloss:0.04424919841190179 [ Info: [28] train-mlogloss:0.04358793771515290 [ Info: [29] train-mlogloss:0.04306957782556613 [ Info: [30] train-mlogloss:0.04250881666938464 [ Info: [31] train-mlogloss:0.04206278281907241 [ Info: [32] train-mlogloss:0.04171620617310206 [ Info: [33] train-mlogloss:0.04139850423981746 [ Info: [34] train-mlogloss:0.04078709678103527 [ Info: [35] train-mlogloss:0.04056784256050984 [ Info: [36] train-mlogloss:0.04038158374528090 [ Info: [37] train-mlogloss:0.04020758991440137 [ Info: [38] train-mlogloss:0.04004476839055618 [ Info: [39] train-mlogloss:0.03987435714652141 [ Info: [40] train-mlogloss:0.03972265715400378 [ Info: [41] train-mlogloss:0.03957569082578023 [ Info: [42] train-mlogloss:0.03942877283940713 [ Info: [43] train-mlogloss:0.03928715104858081 [ Info: [44] train-mlogloss:0.03915255655845006 [ Info: [45] train-mlogloss:0.03901454976449410 [ Info: [46] train-mlogloss:0.03888139609247446 [ Info: [47] train-mlogloss:0.03875531525661548 [ Info: [48] train-mlogloss:0.03862559640159210 [ Info: [49] train-mlogloss:0.03850237267712752 [ Info: [50] train-mlogloss:0.03838348629573981 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74397228082021083 [ Info: [2] train-mlogloss:0.53423833211263017 [ Info: [3] train-mlogloss:0.39709187587102251 [ Info: [4] train-mlogloss:0.30299836834271748 [ Info: [5] train-mlogloss:0.23658990701039631 [ Info: [6] train-mlogloss:0.18883531630039216 [ Info: [7] train-mlogloss:0.15168322443962098 [ Info: [8] train-mlogloss:0.12474722196658453 [ Info: [9] train-mlogloss:0.10475408027569454 [ Info: [10] train-mlogloss:0.08939861903587977 [ Info: [11] train-mlogloss:0.07747921253244082 [ Info: [12] train-mlogloss:0.06808640157183012 [ Info: [13] train-mlogloss:0.06083069418867429 [ Info: [14] train-mlogloss:0.05567590246597926 [ Info: [15] train-mlogloss:0.05157722150286038 [ Info: [16] train-mlogloss:0.04815329313278198 [ Info: [17] train-mlogloss:0.04559774889300267 [ Info: [18] train-mlogloss:0.04451283459862073 [ Info: [19] train-mlogloss:0.04353984950731198 [ Info: [20] train-mlogloss:0.04268683175245921 [ Info: [21] train-mlogloss:0.04209018067767223 [ Info: [22] train-mlogloss:0.04156717321525017 [ Info: [23] train-mlogloss:0.04109394937753677 [ Info: [24] train-mlogloss:0.04023271638900042 [ Info: [25] train-mlogloss:0.03991024891535441 [ Info: [26] train-mlogloss:0.03966028974701961 [ Info: [27] train-mlogloss:0.03941488768905401 [ Info: [28] train-mlogloss:0.03918052428712448 [ Info: [29] train-mlogloss:0.03896814121554295 [ Info: [30] train-mlogloss:0.03875541905562083 [ Info: [31] train-mlogloss:0.03855395338187615 [ Info: [32] train-mlogloss:0.03836067737390598 [ Info: [33] train-mlogloss:0.03817600045353174 [ Info: [34] train-mlogloss:0.03798689583937327 [ Info: [35] train-mlogloss:0.03781933190921943 [ Info: [36] train-mlogloss:0.03764106653009851 [ Info: [37] train-mlogloss:0.03747471388429403 [ Info: [38] train-mlogloss:0.03732148865237832 [ Info: [39] train-mlogloss:0.03716385044778387 [ Info: [40] train-mlogloss:0.03701509612301986 [ Info: [41] train-mlogloss:0.03688062060003480 [ Info: [42] train-mlogloss:0.03673898758987586 [ Info: [43] train-mlogloss:0.03660257488489151 [ Info: [44] train-mlogloss:0.03646325985590617 [ Info: [45] train-mlogloss:0.03634025205547611 [ Info: [46] train-mlogloss:0.03620163591578603 [ Info: [47] train-mlogloss:0.03607729059333602 [ Info: [48] train-mlogloss:0.03595186601082484 [ Info: [49] train-mlogloss:0.03582569235314925 [ Info: [50] train-mlogloss:0.03571665124967694 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64599867184956872 [ Info: [2] train-mlogloss:0.42274405717849733 [ Info: [3] train-mlogloss:0.29249221205711362 [ Info: [4] train-mlogloss:0.21137000143527984 [ Info: [5] train-mlogloss:0.15535596301158269 [ Info: [6] train-mlogloss:0.11812637011210124 [ Info: [7] train-mlogloss:0.09335203677415847 [ Info: [8] train-mlogloss:0.07684825082619985 [ Info: [9] train-mlogloss:0.06459323992331822 [ Info: [10] train-mlogloss:0.05597985371947289 [ Info: [11] train-mlogloss:0.05015227360030015 [ Info: [12] train-mlogloss:0.04574317355950674 [ Info: [13] train-mlogloss:0.04278507428864638 [ Info: [14] train-mlogloss:0.04155376408249140 [ Info: [15] train-mlogloss:0.04065188450117906 [ Info: [16] train-mlogloss:0.04024946991354227 [ Info: [17] train-mlogloss:0.03989858619868755 [ Info: [18] train-mlogloss:0.03958376472194990 [ Info: [19] train-mlogloss:0.03924708840747675 [ Info: [20] train-mlogloss:0.03894378572702408 [ Info: [21] train-mlogloss:0.03867248091846705 [ Info: [22] train-mlogloss:0.03838035434484482 [ Info: [23] train-mlogloss:0.03813051742811998 [ Info: [24] train-mlogloss:0.03788532853126526 [ Info: [25] train-mlogloss:0.03763958655297756 [ Info: [26] train-mlogloss:0.03741888338079055 [ Info: [27] train-mlogloss:0.03719295962403218 [ Info: [28] train-mlogloss:0.03697560458133618 [ Info: [29] train-mlogloss:0.03677702492723862 [ Info: [30] train-mlogloss:0.03656955120464166 [ Info: [31] train-mlogloss:0.03638987440615892 [ Info: [32] train-mlogloss:0.03618591642628113 [ Info: [33] train-mlogloss:0.03600071063265205 [ Info: [34] train-mlogloss:0.03582148517171542 [ Info: [35] train-mlogloss:0.03563711072007815 [ Info: [36] train-mlogloss:0.03547307573258877 [ Info: [37] train-mlogloss:0.03529534296443065 [ Info: [38] train-mlogloss:0.03512713650241494 [ Info: [39] train-mlogloss:0.03497555041064819 [ Info: [40] train-mlogloss:0.03480568317075571 [ Info: [41] train-mlogloss:0.03465887276455760 [ Info: [42] train-mlogloss:0.03450418335696061 [ Info: [43] train-mlogloss:0.03435302516445517 [ Info: [44] train-mlogloss:0.03421453850343823 [ Info: [45] train-mlogloss:0.03406261024375756 [ Info: [46] train-mlogloss:0.03391272029529015 [ Info: [47] train-mlogloss:0.03377778941765427 [ Info: [48] train-mlogloss:0.03363262717301647 [ Info: [49] train-mlogloss:0.03349112904320160 [ Info: [50] train-mlogloss:0.03333793370674054 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55825582106908167 [ Info: [2] train-mlogloss:0.33637240131696067 [ Info: [3] train-mlogloss:0.21974493761857350 [ Info: [4] train-mlogloss:0.14893323957920074 [ Info: [5] train-mlogloss:0.10637957960367203 [ Info: [6] train-mlogloss:0.08128011400500933 [ Info: [7] train-mlogloss:0.06487294097741444 [ Info: [8] train-mlogloss:0.05409168370068073 [ Info: [9] train-mlogloss:0.04728609368205070 [ Info: [10] train-mlogloss:0.04309307634830475 [ Info: [11] train-mlogloss:0.04111815714587768 [ Info: [12] train-mlogloss:0.04010348579535881 [ Info: [13] train-mlogloss:0.03961385811368624 [ Info: [14] train-mlogloss:0.03920299420754115 [ Info: [15] train-mlogloss:0.03885425804803769 [ Info: [16] train-mlogloss:0.03849257777134577 [ Info: [17] train-mlogloss:0.03816284208248059 [ Info: [18] train-mlogloss:0.03786753301819166 [ Info: [19] train-mlogloss:0.03754998169839383 [ Info: [20] train-mlogloss:0.03727586443225542 [ Info: [21] train-mlogloss:0.03701874469717344 [ Info: [22] train-mlogloss:0.03674088167647521 [ Info: [23] train-mlogloss:0.03650571166848143 [ Info: [24] train-mlogloss:0.03625744711607694 [ Info: [25] train-mlogloss:0.03601344854881366 [ Info: [26] train-mlogloss:0.03580418201784293 [ Info: [27] train-mlogloss:0.03556965969502926 [ Info: [28] train-mlogloss:0.03537752800310651 [ Info: [29] train-mlogloss:0.03515686649829149 [ Info: [30] train-mlogloss:0.03495395851631959 [ Info: [31] train-mlogloss:0.03473802829782168 [ Info: [32] train-mlogloss:0.03455799467240771 [ Info: [33] train-mlogloss:0.03436375118792057 [ Info: [34] train-mlogloss:0.03415346407641967 [ Info: [35] train-mlogloss:0.03396161478012800 [ Info: [36] train-mlogloss:0.03379074039558570 [ Info: [37] train-mlogloss:0.03359567768250903 [ Info: [38] train-mlogloss:0.03344372761746248 [ Info: [39] train-mlogloss:0.03325344750657678 [ Info: [40] train-mlogloss:0.03307901661843062 [ Info: [41] train-mlogloss:0.03290620931113759 [ Info: [42] train-mlogloss:0.03273887903429568 [ Info: [43] train-mlogloss:0.03257500556297600 [ Info: [44] train-mlogloss:0.03241105166884760 [ Info: [45] train-mlogloss:0.03226542358597120 [ Info: [46] train-mlogloss:0.03210725871225198 [ Info: [47] train-mlogloss:0.03194675354907910 [ Info: [48] train-mlogloss:0.03179750237613917 [ Info: [49] train-mlogloss:0.03166199999240538 [ Info: [50] train-mlogloss:0.03149996877027054 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48049093882242838 [ Info: [2] train-mlogloss:0.26950267752011620 [ Info: [3] train-mlogloss:0.16881357133388519 [ Info: [4] train-mlogloss:0.11260282814502716 [ Info: [5] train-mlogloss:0.08168893853823343 [ Info: [6] train-mlogloss:0.06301643157998721 [ Info: [7] train-mlogloss:0.05296707890927792 [ Info: [8] train-mlogloss:0.04608190530290206 [ Info: [9] train-mlogloss:0.04348286883284648 [ Info: [10] train-mlogloss:0.04205933776994546 [ Info: [11] train-mlogloss:0.04084075885514418 [ Info: [12] train-mlogloss:0.04027283266186714 [ Info: [13] train-mlogloss:0.03981516335159540 [ Info: [14] train-mlogloss:0.03941841014971336 [ Info: [15] train-mlogloss:0.03897172932823499 [ Info: [16] train-mlogloss:0.03857859574258327 [ Info: [17] train-mlogloss:0.03825663079818090 [ Info: [18] train-mlogloss:0.03789973131070534 [ Info: [19] train-mlogloss:0.03759026570245624 [ Info: [20] train-mlogloss:0.03728915880744656 [ Info: [21] train-mlogloss:0.03698304283743103 [ Info: [22] train-mlogloss:0.03674403499811887 [ Info: [23] train-mlogloss:0.03646160760273536 [ Info: [24] train-mlogloss:0.03618839410444101 [ Info: [25] train-mlogloss:0.03592828314751387 [ Info: [26] train-mlogloss:0.03571792649726073 [ Info: [27] train-mlogloss:0.03545791673784455 [ Info: [28] train-mlogloss:0.03519555811459819 [ Info: [29] train-mlogloss:0.03496448600043853 [ Info: [30] train-mlogloss:0.03477167974536618 [ Info: [31] train-mlogloss:0.03454312257468700 [ Info: [32] train-mlogloss:0.03429332264388601 [ Info: [33] train-mlogloss:0.03409029213090738 [ Info: [34] train-mlogloss:0.03389842535679539 [ Info: [35] train-mlogloss:0.03369013935948412 [ Info: [36] train-mlogloss:0.03350080234929919 [ Info: [37] train-mlogloss:0.03328564127286275 [ Info: [38] train-mlogloss:0.03307659663880864 [ Info: [39] train-mlogloss:0.03288868558593094 [ Info: [40] train-mlogloss:0.03272182753930489 [ Info: [41] train-mlogloss:0.03253212638509771 [ Info: [42] train-mlogloss:0.03236454977343479 [ Info: [43] train-mlogloss:0.03217099909049769 [ Info: [44] train-mlogloss:0.03198178397181133 [ Info: [45] train-mlogloss:0.03181310945190489 [ Info: [46] train-mlogloss:0.03165990054917833 [ Info: [47] train-mlogloss:0.03148759747544924 [ Info: [48] train-mlogloss:0.03133240178537865 [ Info: [49] train-mlogloss:0.03117169276811182 [ Info: [50] train-mlogloss:0.03101445139696201 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97933717330296832 [ Info: [2] train-mlogloss:0.87786527156829830 [ Info: [3] train-mlogloss:0.79055233399073288 [ Info: [4] train-mlogloss:0.71474869410196940 [ Info: [5] train-mlogloss:0.64691881100336712 [ Info: [6] train-mlogloss:0.58739960034688310 [ Info: [7] train-mlogloss:0.53508205930391950 [ Info: [8] train-mlogloss:0.48882526874542237 [ Info: [9] train-mlogloss:0.44776453455289206 [ Info: [10] train-mlogloss:0.41109665234883624 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86871659040451055 [ Info: [2] train-mlogloss:0.70289138555526731 [ Info: [3] train-mlogloss:0.57528676907221477 [ Info: [4] train-mlogloss:0.47755195220311480 [ Info: [5] train-mlogloss:0.40111720085144043 [ Info: [6] train-mlogloss:0.34046927928924559 [ Info: [7] train-mlogloss:0.29184289733568830 [ Info: [8] train-mlogloss:0.25239780445893606 [ Info: [9] train-mlogloss:0.21681608458360035 [ Info: [10] train-mlogloss:0.18863376955191294 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76705826203028360 [ Info: [2] train-mlogloss:0.56082984924316404 [ Info: [3] train-mlogloss:0.42471418857574461 [ Info: [4] train-mlogloss:0.33057313402493793 [ Info: [5] train-mlogloss:0.26334777474403381 [ Info: [6] train-mlogloss:0.21492296437422434 [ Info: [7] train-mlogloss:0.17345576236645380 [ Info: [8] train-mlogloss:0.14126797944307326 [ Info: [9] train-mlogloss:0.11705230037371317 [ Info: [10] train-mlogloss:0.09722759688893955 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.67450462023417157 [ Info: [2] train-mlogloss:0.45165829141934710 [ Info: [3] train-mlogloss:0.32030813773473105 [ Info: [4] train-mlogloss:0.23730839033921561 [ Info: [5] train-mlogloss:0.18092929522196452 [ Info: [6] train-mlogloss:0.13702130258083345 [ Info: [7] train-mlogloss:0.10676627586285273 [ Info: [8] train-mlogloss:0.08570973346630732 [ Info: [9] train-mlogloss:0.07025627031922341 [ Info: [10] train-mlogloss:0.06055937213202318 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.59102112054824829 [ Info: [2] train-mlogloss:0.36595771948496503 [ Info: [3] train-mlogloss:0.24656062821547189 [ Info: [4] train-mlogloss:0.17771546602249144 [ Info: [5] train-mlogloss:0.12535412758588790 [ Info: [6] train-mlogloss:0.09089625194668770 [ Info: [7] train-mlogloss:0.07043252363801003 [ Info: [8] train-mlogloss:0.05769311649103959 [ Info: [9] train-mlogloss:0.04871168598532677 [ Info: [10] train-mlogloss:0.04313400294631720 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.51639801979064937 [ Info: [2] train-mlogloss:0.29854211171468098 [ Info: [3] train-mlogloss:0.19425504763921103 [ Info: [4] train-mlogloss:0.12764202584822973 [ Info: [5] train-mlogloss:0.08658559799194336 [ Info: [6] train-mlogloss:0.06464973933994771 [ Info: [7] train-mlogloss:0.05250771813094616 [ Info: [8] train-mlogloss:0.04326814827819665 [ Info: [9] train-mlogloss:0.03821116580317418 [ Info: [10] train-mlogloss:0.03633458621799946 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97933717330296832 [ Info: [2] train-mlogloss:0.87786527156829830 [ Info: [3] train-mlogloss:0.79055233399073288 [ Info: [4] train-mlogloss:0.71474869410196940 [ Info: [5] train-mlogloss:0.64691881100336712 [ Info: [6] train-mlogloss:0.58739960034688310 [ Info: [7] train-mlogloss:0.53508205930391950 [ Info: [8] train-mlogloss:0.48882526874542237 [ Info: [9] train-mlogloss:0.44776453455289206 [ Info: [10] train-mlogloss:0.41109665234883624 [ Info: [11] train-mlogloss:0.37844462076822916 [ Info: [12] train-mlogloss:0.34920940279960633 [ Info: [13] train-mlogloss:0.32297973155975340 [ Info: [14] train-mlogloss:0.29939376990000405 [ Info: [15] train-mlogloss:0.27809878349304201 [ Info: [16] train-mlogloss:0.25913004239400228 [ Info: [17] train-mlogloss:0.24174665749073029 [ Info: [18] train-mlogloss:0.22427473425865174 [ Info: [19] train-mlogloss:0.20844957113265991 [ Info: [20] train-mlogloss:0.19460408945878346 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86871659040451055 [ Info: [2] train-mlogloss:0.70289138555526731 [ Info: [3] train-mlogloss:0.57528676907221477 [ Info: [4] train-mlogloss:0.47755195220311480 [ Info: [5] train-mlogloss:0.40111720085144043 [ Info: [6] train-mlogloss:0.34046927928924559 [ Info: [7] train-mlogloss:0.29184289733568830 [ Info: [8] train-mlogloss:0.25239780445893606 [ Info: [9] train-mlogloss:0.21681608458360035 [ Info: [10] train-mlogloss:0.18863376955191294 [ Info: [11] train-mlogloss:0.16448367178440093 [ Info: [12] train-mlogloss:0.14511030803124109 [ Info: [13] train-mlogloss:0.12800248374541601 [ Info: [14] train-mlogloss:0.11347778538862864 [ Info: [15] train-mlogloss:0.10140166009465854 [ Info: [16] train-mlogloss:0.09109264830748240 [ Info: [17] train-mlogloss:0.08251117909948032 [ Info: [18] train-mlogloss:0.07538845097025236 [ Info: [19] train-mlogloss:0.06914011947810650 [ Info: [20] train-mlogloss:0.06422121269007523 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76705826203028360 [ Info: [2] train-mlogloss:0.56082984924316404 [ Info: [3] train-mlogloss:0.42471418857574461 [ Info: [4] train-mlogloss:0.33057313402493793 [ Info: [5] train-mlogloss:0.26334777474403381 [ Info: [6] train-mlogloss:0.21492296437422434 [ Info: [7] train-mlogloss:0.17345576236645380 [ Info: [8] train-mlogloss:0.14126797944307326 [ Info: [9] train-mlogloss:0.11705230037371317 [ Info: [10] train-mlogloss:0.09722759688893955 [ Info: [11] train-mlogloss:0.08323971708615621 [ Info: [12] train-mlogloss:0.07261369412144025 [ Info: [13] train-mlogloss:0.06461576444407303 [ Info: [14] train-mlogloss:0.05830762977401416 [ Info: [15] train-mlogloss:0.05279830768704415 [ Info: [16] train-mlogloss:0.04839533172547817 [ Info: [17] train-mlogloss:0.04455937582999468 [ Info: [18] train-mlogloss:0.04179617324223121 [ Info: [19] train-mlogloss:0.04060566057761510 [ Info: [20] train-mlogloss:0.03961410174767176 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.67450462023417157 [ Info: [2] train-mlogloss:0.45165829141934710 [ Info: [3] train-mlogloss:0.32030813773473105 [ Info: [4] train-mlogloss:0.23730839033921561 [ Info: [5] train-mlogloss:0.18092929522196452 [ Info: [6] train-mlogloss:0.13702130258083345 [ Info: [7] train-mlogloss:0.10676627586285273 [ Info: [8] train-mlogloss:0.08570973346630732 [ Info: [9] train-mlogloss:0.07025627031922341 [ Info: [10] train-mlogloss:0.06055937213202318 [ Info: [11] train-mlogloss:0.05345721875627835 [ Info: [12] train-mlogloss:0.04716723422209422 [ Info: [13] train-mlogloss:0.04303710201134284 [ Info: [14] train-mlogloss:0.04078760669877132 [ Info: [15] train-mlogloss:0.03940230403095484 [ Info: [16] train-mlogloss:0.03751796177277962 [ Info: [17] train-mlogloss:0.03600392828385035 [ Info: [18] train-mlogloss:0.03537335334966580 [ Info: [19] train-mlogloss:0.03464748036116361 [ Info: [20] train-mlogloss:0.03413511671125889 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.59102112054824829 [ Info: [2] train-mlogloss:0.36595771948496503 [ Info: [3] train-mlogloss:0.24656062821547189 [ Info: [4] train-mlogloss:0.17771546602249144 [ Info: [5] train-mlogloss:0.12535412758588790 [ Info: [6] train-mlogloss:0.09089625194668770 [ Info: [7] train-mlogloss:0.07043252363801003 [ Info: [8] train-mlogloss:0.05769311649103959 [ Info: [9] train-mlogloss:0.04871168598532677 [ Info: [10] train-mlogloss:0.04313400294631720 [ Info: [11] train-mlogloss:0.03975963935256004 [ Info: [12] train-mlogloss:0.03838600318878889 [ Info: [13] train-mlogloss:0.03638941394786040 [ Info: [14] train-mlogloss:0.03498723453531662 [ Info: [15] train-mlogloss:0.03431378060330947 [ Info: [16] train-mlogloss:0.03372105168178677 [ Info: [17] train-mlogloss:0.03321157457306981 [ Info: [18] train-mlogloss:0.03268732142945131 [ Info: [19] train-mlogloss:0.03221076178674897 [ Info: [20] train-mlogloss:0.03176519302030405 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.51639801979064937 [ Info: [2] train-mlogloss:0.29854211171468098 [ Info: [3] train-mlogloss:0.19425504763921103 [ Info: [4] train-mlogloss:0.12764202584822973 [ Info: [5] train-mlogloss:0.08658559799194336 [ Info: [6] train-mlogloss:0.06464973933994771 [ Info: [7] train-mlogloss:0.05250771813094616 [ Info: [8] train-mlogloss:0.04326814827819665 [ Info: [9] train-mlogloss:0.03821116580317418 [ Info: [10] train-mlogloss:0.03633458621799946 [ Info: [11] train-mlogloss:0.03497147291898727 [ Info: [12] train-mlogloss:0.03419664622594913 [ Info: [13] train-mlogloss:0.03348413431396087 [ Info: [14] train-mlogloss:0.03265509285032749 [ Info: [15] train-mlogloss:0.03206300343697270 [ Info: [16] train-mlogloss:0.03157300771524509 [ Info: [17] train-mlogloss:0.03108090856422981 [ Info: [18] train-mlogloss:0.03061302701011300 [ Info: [19] train-mlogloss:0.03017499776557088 [ Info: [20] train-mlogloss:0.02974813317880035 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97933717330296832 [ Info: [2] train-mlogloss:0.87786527156829830 [ Info: [3] train-mlogloss:0.79055233399073288 [ Info: [4] train-mlogloss:0.71474869410196940 [ Info: [5] train-mlogloss:0.64691881100336712 [ Info: [6] train-mlogloss:0.58739960034688310 [ Info: [7] train-mlogloss:0.53508205930391950 [ Info: [8] train-mlogloss:0.48882526874542237 [ Info: [9] train-mlogloss:0.44776453455289206 [ Info: [10] train-mlogloss:0.41109665234883624 [ Info: [11] train-mlogloss:0.37844462076822916 [ Info: [12] train-mlogloss:0.34920940279960633 [ Info: [13] train-mlogloss:0.32297973155975340 [ Info: [14] train-mlogloss:0.29939376990000405 [ Info: [15] train-mlogloss:0.27809878349304201 [ Info: [16] train-mlogloss:0.25913004239400228 [ Info: [17] train-mlogloss:0.24174665749073029 [ Info: [18] train-mlogloss:0.22427473425865174 [ Info: [19] train-mlogloss:0.20844957113265991 [ Info: [20] train-mlogloss:0.19460408945878346 [ Info: [21] train-mlogloss:0.18155415336290995 [ Info: [22] train-mlogloss:0.17010550737380981 [ Info: [23] train-mlogloss:0.15865435659885407 [ Info: [24] train-mlogloss:0.14911283651987711 [ Info: [25] train-mlogloss:0.13976780394713084 [ Info: [26] train-mlogloss:0.13067519962787627 [ Info: [27] train-mlogloss:0.12291958928108215 [ Info: [28] train-mlogloss:0.11531704525152842 [ Info: [29] train-mlogloss:0.10888177355130514 [ Info: [30] train-mlogloss:0.10249037404855092 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86871659040451055 [ Info: [2] train-mlogloss:0.70289138555526731 [ Info: [3] train-mlogloss:0.57528676907221477 [ Info: [4] train-mlogloss:0.47755195220311480 [ Info: [5] train-mlogloss:0.40111720085144043 [ Info: [6] train-mlogloss:0.34046927928924559 [ Info: [7] train-mlogloss:0.29184289733568830 [ Info: [8] train-mlogloss:0.25239780445893606 [ Info: [9] train-mlogloss:0.21681608458360035 [ Info: [10] train-mlogloss:0.18863376955191294 [ Info: [11] train-mlogloss:0.16448367178440093 [ Info: [12] train-mlogloss:0.14511030803124109 [ Info: [13] train-mlogloss:0.12800248374541601 [ Info: [14] train-mlogloss:0.11347778538862864 [ Info: [15] train-mlogloss:0.10140166009465854 [ Info: [16] train-mlogloss:0.09109264830748240 [ Info: [17] train-mlogloss:0.08251117909948032 [ Info: [18] train-mlogloss:0.07538845097025236 [ Info: [19] train-mlogloss:0.06914011947810650 [ Info: [20] train-mlogloss:0.06422121269007523 [ Info: [21] train-mlogloss:0.06035842910408973 [ Info: [22] train-mlogloss:0.05638112276792526 [ Info: [23] train-mlogloss:0.05286965000132720 [ Info: [24] train-mlogloss:0.04986182992657025 [ Info: [25] train-mlogloss:0.04719446100294590 [ Info: [26] train-mlogloss:0.04471367346743742 [ Info: [27] train-mlogloss:0.04283077663431565 [ Info: [28] train-mlogloss:0.04196443475782871 [ Info: [29] train-mlogloss:0.04123976087818543 [ Info: [30] train-mlogloss:0.04061160640170177 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76705826203028360 [ Info: [2] train-mlogloss:0.56082984924316404 [ Info: [3] train-mlogloss:0.42471418857574461 [ Info: [4] train-mlogloss:0.33057313402493793 [ Info: [5] train-mlogloss:0.26334777474403381 [ Info: [6] train-mlogloss:0.21492296437422434 [ Info: [7] train-mlogloss:0.17345576236645380 [ Info: [8] train-mlogloss:0.14126797944307326 [ Info: [9] train-mlogloss:0.11705230037371317 [ Info: [10] train-mlogloss:0.09722759688893955 [ Info: [11] train-mlogloss:0.08323971708615621 [ Info: [12] train-mlogloss:0.07261369412144025 [ Info: [13] train-mlogloss:0.06461576444407303 [ Info: [14] train-mlogloss:0.05830762977401416 [ Info: [15] train-mlogloss:0.05279830768704415 [ Info: [16] train-mlogloss:0.04839533172547817 [ Info: [17] train-mlogloss:0.04455937582999468 [ Info: [18] train-mlogloss:0.04179617324223121 [ Info: [19] train-mlogloss:0.04060566057761510 [ Info: [20] train-mlogloss:0.03961410174767176 [ Info: [21] train-mlogloss:0.03884535137563944 [ Info: [22] train-mlogloss:0.03755191836506128 [ Info: [23] train-mlogloss:0.03644626030077537 [ Info: [24] train-mlogloss:0.03559570806721846 [ Info: [25] train-mlogloss:0.03516640822092692 [ Info: [26] train-mlogloss:0.03465184060235818 [ Info: [27] train-mlogloss:0.03428572587668896 [ Info: [28] train-mlogloss:0.03388826410596570 [ Info: [29] train-mlogloss:0.03349827659626802 [ Info: [30] train-mlogloss:0.03319611651822925 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.67450462023417157 [ Info: [2] train-mlogloss:0.45165829141934710 [ Info: [3] train-mlogloss:0.32030813773473105 [ Info: [4] train-mlogloss:0.23730839033921561 [ Info: [5] train-mlogloss:0.18092929522196452 [ Info: [6] train-mlogloss:0.13702130258083345 [ Info: [7] train-mlogloss:0.10676627586285273 [ Info: [8] train-mlogloss:0.08570973346630732 [ Info: [9] train-mlogloss:0.07025627031922341 [ Info: [10] train-mlogloss:0.06055937213202318 [ Info: [11] train-mlogloss:0.05345721875627835 [ Info: [12] train-mlogloss:0.04716723422209422 [ Info: [13] train-mlogloss:0.04303710201134284 [ Info: [14] train-mlogloss:0.04078760669877132 [ Info: [15] train-mlogloss:0.03940230403095484 [ Info: [16] train-mlogloss:0.03751796177277962 [ Info: [17] train-mlogloss:0.03600392828385035 [ Info: [18] train-mlogloss:0.03537335334966580 [ Info: [19] train-mlogloss:0.03464748036116361 [ Info: [20] train-mlogloss:0.03413511671125889 [ Info: [21] train-mlogloss:0.03372674386327466 [ Info: [22] train-mlogloss:0.03322280452897151 [ Info: [23] train-mlogloss:0.03282899454236030 [ Info: [24] train-mlogloss:0.03248942294468482 [ Info: [25] train-mlogloss:0.03212953777362903 [ Info: [26] train-mlogloss:0.03181399842103323 [ Info: [27] train-mlogloss:0.03151724291344483 [ Info: [28] train-mlogloss:0.03122521406039596 [ Info: [29] train-mlogloss:0.03094223221143087 [ Info: [30] train-mlogloss:0.03069480321680506 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.59102112054824829 [ Info: [2] train-mlogloss:0.36595771948496503 [ Info: [3] train-mlogloss:0.24656062821547189 [ Info: [4] train-mlogloss:0.17771546602249144 [ Info: [5] train-mlogloss:0.12535412758588790 [ Info: [6] train-mlogloss:0.09089625194668770 [ Info: [7] train-mlogloss:0.07043252363801003 [ Info: [8] train-mlogloss:0.05769311649103959 [ Info: [9] train-mlogloss:0.04871168598532677 [ Info: [10] train-mlogloss:0.04313400294631720 [ Info: [11] train-mlogloss:0.03975963935256004 [ Info: [12] train-mlogloss:0.03838600318878889 [ Info: [13] train-mlogloss:0.03638941394786040 [ Info: [14] train-mlogloss:0.03498723453531662 [ Info: [15] train-mlogloss:0.03431378060330947 [ Info: [16] train-mlogloss:0.03372105168178677 [ Info: [17] train-mlogloss:0.03321157457306981 [ Info: [18] train-mlogloss:0.03268732142945131 [ Info: [19] train-mlogloss:0.03221076178674897 [ Info: [20] train-mlogloss:0.03176519302030405 [ Info: [21] train-mlogloss:0.03132335865870118 [ Info: [22] train-mlogloss:0.03090850150212646 [ Info: [23] train-mlogloss:0.03053664128606518 [ Info: [24] train-mlogloss:0.03017790290837486 [ Info: [25] train-mlogloss:0.02986255235349139 [ Info: [26] train-mlogloss:0.02954628358284632 [ Info: [27] train-mlogloss:0.02921426466976603 [ Info: [28] train-mlogloss:0.02890656226625045 [ Info: [29] train-mlogloss:0.02862666943420967 [ Info: [30] train-mlogloss:0.02832816037659844 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.51639801979064937 [ Info: [2] train-mlogloss:0.29854211171468098 [ Info: [3] train-mlogloss:0.19425504763921103 [ Info: [4] train-mlogloss:0.12764202584822973 [ Info: [5] train-mlogloss:0.08658559799194336 [ Info: [6] train-mlogloss:0.06464973933994771 [ Info: [7] train-mlogloss:0.05250771813094616 [ Info: [8] train-mlogloss:0.04326814827819665 [ Info: [9] train-mlogloss:0.03821116580317418 [ Info: [10] train-mlogloss:0.03633458621799946 [ Info: [11] train-mlogloss:0.03497147291898727 [ Info: [12] train-mlogloss:0.03419664622594913 [ Info: [13] train-mlogloss:0.03348413431396087 [ Info: [14] train-mlogloss:0.03265509285032749 [ Info: [15] train-mlogloss:0.03206300343697270 [ Info: [16] train-mlogloss:0.03157300771524509 [ Info: [17] train-mlogloss:0.03108090856422981 [ Info: [18] train-mlogloss:0.03061302701011300 [ Info: [19] train-mlogloss:0.03017499776557088 [ Info: [20] train-mlogloss:0.02974813317880035 [ Info: [21] train-mlogloss:0.02933569387843211 [ Info: [22] train-mlogloss:0.02895718999207020 [ Info: [23] train-mlogloss:0.02860489500686526 [ Info: [24] train-mlogloss:0.02822636876876156 [ Info: [25] train-mlogloss:0.02787933427219590 [ Info: [26] train-mlogloss:0.02757360230510434 [ Info: [27] train-mlogloss:0.02723838417480389 [ Info: [28] train-mlogloss:0.02695962563157082 [ Info: [29] train-mlogloss:0.02670440690281491 [ Info: [30] train-mlogloss:0.02644180141389370 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97933717330296832 [ Info: [2] train-mlogloss:0.87786527156829830 [ Info: [3] train-mlogloss:0.79055233399073288 [ Info: [4] train-mlogloss:0.71474869410196940 [ Info: [5] train-mlogloss:0.64691881100336712 [ Info: [6] train-mlogloss:0.58739960034688310 [ Info: [7] train-mlogloss:0.53508205930391950 [ Info: [8] train-mlogloss:0.48882526874542237 [ Info: [9] train-mlogloss:0.44776453455289206 [ Info: [10] train-mlogloss:0.41109665234883624 [ Info: [11] train-mlogloss:0.37844462076822916 [ Info: [12] train-mlogloss:0.34920940279960633 [ Info: [13] train-mlogloss:0.32297973155975340 [ Info: [14] train-mlogloss:0.29939376990000405 [ Info: [15] train-mlogloss:0.27809878349304201 [ Info: [16] train-mlogloss:0.25913004239400228 [ Info: [17] train-mlogloss:0.24174665749073029 [ Info: [18] train-mlogloss:0.22427473425865174 [ Info: [19] train-mlogloss:0.20844957113265991 [ Info: [20] train-mlogloss:0.19460408945878346 [ Info: [21] train-mlogloss:0.18155415336290995 [ Info: [22] train-mlogloss:0.17010550737380981 [ Info: [23] train-mlogloss:0.15865435659885407 [ Info: [24] train-mlogloss:0.14911283651987711 [ Info: [25] train-mlogloss:0.13976780394713084 [ Info: [26] train-mlogloss:0.13067519962787627 [ Info: [27] train-mlogloss:0.12291958928108215 [ Info: [28] train-mlogloss:0.11531704525152842 [ Info: [29] train-mlogloss:0.10888177355130514 [ Info: [30] train-mlogloss:0.10249037404855092 [ Info: [31] train-mlogloss:0.09709619139631590 [ Info: [32] train-mlogloss:0.09207619562745094 [ Info: [33] train-mlogloss:0.08752022539575895 [ Info: [34] train-mlogloss:0.08328560486435890 [ Info: [35] train-mlogloss:0.07947839076320330 [ Info: [36] train-mlogloss:0.07578717172145844 [ Info: [37] train-mlogloss:0.07248442391554515 [ Info: [38] train-mlogloss:0.06937005134920279 [ Info: [39] train-mlogloss:0.06660960930089156 [ Info: [40] train-mlogloss:0.06403330616652965 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86871659040451055 [ Info: [2] train-mlogloss:0.70289138555526731 [ Info: [3] train-mlogloss:0.57528676907221477 [ Info: [4] train-mlogloss:0.47755195220311480 [ Info: [5] train-mlogloss:0.40111720085144043 [ Info: [6] train-mlogloss:0.34046927928924559 [ Info: [7] train-mlogloss:0.29184289733568830 [ Info: [8] train-mlogloss:0.25239780445893606 [ Info: [9] train-mlogloss:0.21681608458360035 [ Info: [10] train-mlogloss:0.18863376955191294 [ Info: [11] train-mlogloss:0.16448367178440093 [ Info: [12] train-mlogloss:0.14511030803124109 [ Info: [13] train-mlogloss:0.12800248374541601 [ Info: [14] train-mlogloss:0.11347778538862864 [ Info: [15] train-mlogloss:0.10140166009465854 [ Info: [16] train-mlogloss:0.09109264830748240 [ Info: [17] train-mlogloss:0.08251117909948032 [ Info: [18] train-mlogloss:0.07538845097025236 [ Info: [19] train-mlogloss:0.06914011947810650 [ Info: [20] train-mlogloss:0.06422121269007523 [ Info: [21] train-mlogloss:0.06035842910408973 [ Info: [22] train-mlogloss:0.05638112276792526 [ Info: [23] train-mlogloss:0.05286965000132720 [ Info: [24] train-mlogloss:0.04986182992657025 [ Info: [25] train-mlogloss:0.04719446100294590 [ Info: [26] train-mlogloss:0.04471367346743742 [ Info: [27] train-mlogloss:0.04283077663431565 [ Info: [28] train-mlogloss:0.04196443475782871 [ Info: [29] train-mlogloss:0.04123976087818543 [ Info: [30] train-mlogloss:0.04061160640170177 [ Info: [31] train-mlogloss:0.04006085580835739 [ Info: [32] train-mlogloss:0.03911811380336682 [ Info: [33] train-mlogloss:0.03827060557901860 [ Info: [34] train-mlogloss:0.03750671714544297 [ Info: [35] train-mlogloss:0.03686681978404522 [ Info: [36] train-mlogloss:0.03654129143804312 [ Info: [37] train-mlogloss:0.03599542437742154 [ Info: [38] train-mlogloss:0.03571924942235152 [ Info: [39] train-mlogloss:0.03524881566564242 [ Info: [40] train-mlogloss:0.03500275353590648 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76705826203028360 [ Info: [2] train-mlogloss:0.56082984924316404 [ Info: [3] train-mlogloss:0.42471418857574461 [ Info: [4] train-mlogloss:0.33057313402493793 [ Info: [5] train-mlogloss:0.26334777474403381 [ Info: [6] train-mlogloss:0.21492296437422434 [ Info: [7] train-mlogloss:0.17345576236645380 [ Info: [8] train-mlogloss:0.14126797944307326 [ Info: [9] train-mlogloss:0.11705230037371317 [ Info: [10] train-mlogloss:0.09722759688893955 [ Info: [11] train-mlogloss:0.08323971708615621 [ Info: [12] train-mlogloss:0.07261369412144025 [ Info: [13] train-mlogloss:0.06461576444407303 [ Info: [14] train-mlogloss:0.05830762977401416 [ Info: [15] train-mlogloss:0.05279830768704415 [ Info: [16] train-mlogloss:0.04839533172547817 [ Info: [17] train-mlogloss:0.04455937582999468 [ Info: [18] train-mlogloss:0.04179617324223121 [ Info: [19] train-mlogloss:0.04060566057761510 [ Info: [20] train-mlogloss:0.03961410174767176 [ Info: [21] train-mlogloss:0.03884535137563944 [ Info: [22] train-mlogloss:0.03755191836506128 [ Info: [23] train-mlogloss:0.03644626030077537 [ Info: [24] train-mlogloss:0.03559570806721846 [ Info: [25] train-mlogloss:0.03516640822092692 [ Info: [26] train-mlogloss:0.03465184060235818 [ Info: [27] train-mlogloss:0.03428572587668896 [ Info: [28] train-mlogloss:0.03388826410596570 [ Info: [29] train-mlogloss:0.03349827659626802 [ Info: [30] train-mlogloss:0.03319611651822925 [ Info: [31] train-mlogloss:0.03290473269919554 [ Info: [32] train-mlogloss:0.03264343433702985 [ Info: [33] train-mlogloss:0.03237686865652601 [ Info: [34] train-mlogloss:0.03212885515143474 [ Info: [35] train-mlogloss:0.03187744729841749 [ Info: [36] train-mlogloss:0.03164145230626066 [ Info: [37] train-mlogloss:0.03139325958987077 [ Info: [38] train-mlogloss:0.03117732410629590 [ Info: [39] train-mlogloss:0.03095453990623355 [ Info: [40] train-mlogloss:0.03075835418576996 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.67450462023417157 [ Info: [2] train-mlogloss:0.45165829141934710 [ Info: [3] train-mlogloss:0.32030813773473105 [ Info: [4] train-mlogloss:0.23730839033921561 [ Info: [5] train-mlogloss:0.18092929522196452 [ Info: [6] train-mlogloss:0.13702130258083345 [ Info: [7] train-mlogloss:0.10676627586285273 [ Info: [8] train-mlogloss:0.08570973346630732 [ Info: [9] train-mlogloss:0.07025627031922341 [ Info: [10] train-mlogloss:0.06055937213202318 [ Info: [11] train-mlogloss:0.05345721875627835 [ Info: [12] train-mlogloss:0.04716723422209422 [ Info: [13] train-mlogloss:0.04303710201134284 [ Info: [14] train-mlogloss:0.04078760669877132 [ Info: [15] train-mlogloss:0.03940230403095484 [ Info: [16] train-mlogloss:0.03751796177277962 [ Info: [17] train-mlogloss:0.03600392828385035 [ Info: [18] train-mlogloss:0.03537335334966580 [ Info: [19] train-mlogloss:0.03464748036116361 [ Info: [20] train-mlogloss:0.03413511671125889 [ Info: [21] train-mlogloss:0.03372674386327466 [ Info: [22] train-mlogloss:0.03322280452897151 [ Info: [23] train-mlogloss:0.03282899454236030 [ Info: [24] train-mlogloss:0.03248942294468482 [ Info: [25] train-mlogloss:0.03212953777362903 [ Info: [26] train-mlogloss:0.03181399842103323 [ Info: [27] train-mlogloss:0.03151724291344483 [ Info: [28] train-mlogloss:0.03122521406039596 [ Info: [29] train-mlogloss:0.03094223221143087 [ Info: [30] train-mlogloss:0.03069480321680506 [ Info: [31] train-mlogloss:0.03038852429017425 [ Info: [32] train-mlogloss:0.03012997249762217 [ Info: [33] train-mlogloss:0.02987849300727248 [ Info: [34] train-mlogloss:0.02960187772909800 [ Info: [35] train-mlogloss:0.02936964768295487 [ Info: [36] train-mlogloss:0.02913824716582894 [ Info: [37] train-mlogloss:0.02889314560219645 [ Info: [38] train-mlogloss:0.02866116122653087 [ Info: [39] train-mlogloss:0.02845026569440961 [ Info: [40] train-mlogloss:0.02821928749481837 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.59102112054824829 [ Info: [2] train-mlogloss:0.36595771948496503 [ Info: [3] train-mlogloss:0.24656062821547189 [ Info: [4] train-mlogloss:0.17771546602249144 [ Info: [5] train-mlogloss:0.12535412758588790 [ Info: [6] train-mlogloss:0.09089625194668770 [ Info: [7] train-mlogloss:0.07043252363801003 [ Info: [8] train-mlogloss:0.05769311649103959 [ Info: [9] train-mlogloss:0.04871168598532677 [ Info: [10] train-mlogloss:0.04313400294631720 [ Info: [11] train-mlogloss:0.03975963935256004 [ Info: [12] train-mlogloss:0.03838600318878889 [ Info: [13] train-mlogloss:0.03638941394786040 [ Info: [14] train-mlogloss:0.03498723453531662 [ Info: [15] train-mlogloss:0.03431378060330947 [ Info: [16] train-mlogloss:0.03372105168178677 [ Info: [17] train-mlogloss:0.03321157457306981 [ Info: [18] train-mlogloss:0.03268732142945131 [ Info: [19] train-mlogloss:0.03221076178674897 [ Info: [20] train-mlogloss:0.03176519302030405 [ Info: [21] train-mlogloss:0.03132335865870118 [ Info: [22] train-mlogloss:0.03090850150212646 [ Info: [23] train-mlogloss:0.03053664128606518 [ Info: [24] train-mlogloss:0.03017790290837486 [ Info: [25] train-mlogloss:0.02986255235349139 [ Info: [26] train-mlogloss:0.02954628358284632 [ Info: [27] train-mlogloss:0.02921426466976603 [ Info: [28] train-mlogloss:0.02890656226625045 [ Info: [29] train-mlogloss:0.02862666943420967 [ Info: [30] train-mlogloss:0.02832816037659844 [ Info: [31] train-mlogloss:0.02806726923833291 [ Info: [32] train-mlogloss:0.02777193391074737 [ Info: [33] train-mlogloss:0.02751051190619667 [ Info: [34] train-mlogloss:0.02726574488605062 [ Info: [35] train-mlogloss:0.02702348265486459 [ Info: [36] train-mlogloss:0.02680419225556155 [ Info: [37] train-mlogloss:0.02660749094560742 [ Info: [38] train-mlogloss:0.02643391207791865 [ Info: [39] train-mlogloss:0.02628022320568562 [ Info: [40] train-mlogloss:0.02616816076139609 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.51639801979064937 [ Info: [2] train-mlogloss:0.29854211171468098 [ Info: [3] train-mlogloss:0.19425504763921103 [ Info: [4] train-mlogloss:0.12764202584822973 [ Info: [5] train-mlogloss:0.08658559799194336 [ Info: [6] train-mlogloss:0.06464973933994771 [ Info: [7] train-mlogloss:0.05250771813094616 [ Info: [8] train-mlogloss:0.04326814827819665 [ Info: [9] train-mlogloss:0.03821116580317418 [ Info: [10] train-mlogloss:0.03633458621799946 [ Info: [11] train-mlogloss:0.03497147291898727 [ Info: [12] train-mlogloss:0.03419664622594913 [ Info: [13] train-mlogloss:0.03348413431396087 [ Info: [14] train-mlogloss:0.03265509285032749 [ Info: [15] train-mlogloss:0.03206300343697270 [ Info: [16] train-mlogloss:0.03157300771524509 [ Info: [17] train-mlogloss:0.03108090856422981 [ Info: [18] train-mlogloss:0.03061302701011300 [ Info: [19] train-mlogloss:0.03017499776557088 [ Info: [20] train-mlogloss:0.02974813317880035 [ Info: [21] train-mlogloss:0.02933569387843211 [ Info: [22] train-mlogloss:0.02895718999207020 [ Info: [23] train-mlogloss:0.02860489500686526 [ Info: [24] train-mlogloss:0.02822636876876156 [ Info: [25] train-mlogloss:0.02787933427219590 [ Info: [26] train-mlogloss:0.02757360230510434 [ Info: [27] train-mlogloss:0.02723838417480389 [ Info: [28] train-mlogloss:0.02695962563157082 [ Info: [29] train-mlogloss:0.02670440690281491 [ Info: [30] train-mlogloss:0.02644180141389370 [ Info: [31] train-mlogloss:0.02621571996559699 [ Info: [32] train-mlogloss:0.02600966374079386 [ Info: [33] train-mlogloss:0.02577826740530630 [ Info: [34] train-mlogloss:0.02556438404135406 [ Info: [35] train-mlogloss:0.02539341645625730 [ Info: [36] train-mlogloss:0.02526221721433103 [ Info: [37] train-mlogloss:0.02516019609135886 [ Info: [38] train-mlogloss:0.02507261958283683 [ Info: [39] train-mlogloss:0.02500560134959718 [ Info: [40] train-mlogloss:0.02494081528236469 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97933717330296832 [ Info: [2] train-mlogloss:0.87786527156829830 [ Info: [3] train-mlogloss:0.79055233399073288 [ Info: [4] train-mlogloss:0.71474869410196940 [ Info: [5] train-mlogloss:0.64691881100336712 [ Info: [6] train-mlogloss:0.58739960034688310 [ Info: [7] train-mlogloss:0.53508205930391950 [ Info: [8] train-mlogloss:0.48882526874542237 [ Info: [9] train-mlogloss:0.44776453455289206 [ Info: [10] train-mlogloss:0.41109665234883624 [ Info: [11] train-mlogloss:0.37844462076822916 [ Info: [12] train-mlogloss:0.34920940279960633 [ Info: [13] train-mlogloss:0.32297973155975340 [ Info: [14] train-mlogloss:0.29939376990000405 [ Info: [15] train-mlogloss:0.27809878349304201 [ Info: [16] train-mlogloss:0.25913004239400228 [ Info: [17] train-mlogloss:0.24174665749073029 [ Info: [18] train-mlogloss:0.22427473425865174 [ Info: [19] train-mlogloss:0.20844957113265991 [ Info: [20] train-mlogloss:0.19460408945878346 [ Info: [21] train-mlogloss:0.18155415336290995 [ Info: [22] train-mlogloss:0.17010550737380981 [ Info: [23] train-mlogloss:0.15865435659885407 [ Info: [24] train-mlogloss:0.14911283651987711 [ Info: [25] train-mlogloss:0.13976780394713084 [ Info: [26] train-mlogloss:0.13067519962787627 [ Info: [27] train-mlogloss:0.12291958928108215 [ Info: [28] train-mlogloss:0.11531704525152842 [ Info: [29] train-mlogloss:0.10888177355130514 [ Info: [30] train-mlogloss:0.10249037404855092 [ Info: [31] train-mlogloss:0.09709619139631590 [ Info: [32] train-mlogloss:0.09207619562745094 [ Info: [33] train-mlogloss:0.08752022539575895 [ Info: [34] train-mlogloss:0.08328560486435890 [ Info: [35] train-mlogloss:0.07947839076320330 [ Info: [36] train-mlogloss:0.07578717172145844 [ Info: [37] train-mlogloss:0.07248442391554515 [ Info: [38] train-mlogloss:0.06937005134920279 [ Info: [39] train-mlogloss:0.06660960930089156 [ Info: [40] train-mlogloss:0.06403330616652965 [ Info: [41] train-mlogloss:0.06172504941622416 [ Info: [42] train-mlogloss:0.05958995930850506 [ Info: [43] train-mlogloss:0.05757293845216433 [ Info: [44] train-mlogloss:0.05568381123244762 [ Info: [45] train-mlogloss:0.05412286065518856 [ Info: [46] train-mlogloss:0.05251127975682417 [ Info: [47] train-mlogloss:0.05114533717433611 [ Info: [48] train-mlogloss:0.04970669346551100 [ Info: [49] train-mlogloss:0.04829778676231702 [ Info: [50] train-mlogloss:0.04700813474754492 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86871659040451055 [ Info: [2] train-mlogloss:0.70289138555526731 [ Info: [3] train-mlogloss:0.57528676907221477 [ Info: [4] train-mlogloss:0.47755195220311480 [ Info: [5] train-mlogloss:0.40111720085144043 [ Info: [6] train-mlogloss:0.34046927928924559 [ Info: [7] train-mlogloss:0.29184289733568830 [ Info: [8] train-mlogloss:0.25239780445893606 [ Info: [9] train-mlogloss:0.21681608458360035 [ Info: [10] train-mlogloss:0.18863376955191294 [ Info: [11] train-mlogloss:0.16448367178440093 [ Info: [12] train-mlogloss:0.14511030803124109 [ Info: [13] train-mlogloss:0.12800248374541601 [ Info: [14] train-mlogloss:0.11347778538862864 [ Info: [15] train-mlogloss:0.10140166009465854 [ Info: [16] train-mlogloss:0.09109264830748240 [ Info: [17] train-mlogloss:0.08251117909948032 [ Info: [18] train-mlogloss:0.07538845097025236 [ Info: [19] train-mlogloss:0.06914011947810650 [ Info: [20] train-mlogloss:0.06422121269007523 [ Info: [21] train-mlogloss:0.06035842910408973 [ Info: [22] train-mlogloss:0.05638112276792526 [ Info: [23] train-mlogloss:0.05286965000132720 [ Info: [24] train-mlogloss:0.04986182992657025 [ Info: [25] train-mlogloss:0.04719446100294590 [ Info: [26] train-mlogloss:0.04471367346743742 [ Info: [27] train-mlogloss:0.04283077663431565 [ Info: [28] train-mlogloss:0.04196443475782871 [ Info: [29] train-mlogloss:0.04123976087818543 [ Info: [30] train-mlogloss:0.04061160640170177 [ Info: [31] train-mlogloss:0.04006085580835739 [ Info: [32] train-mlogloss:0.03911811380336682 [ Info: [33] train-mlogloss:0.03827060557901860 [ Info: [34] train-mlogloss:0.03750671714544297 [ Info: [35] train-mlogloss:0.03686681978404522 [ Info: [36] train-mlogloss:0.03654129143804312 [ Info: [37] train-mlogloss:0.03599542437742154 [ Info: [38] train-mlogloss:0.03571924942235152 [ Info: [39] train-mlogloss:0.03524881566564242 [ Info: [40] train-mlogloss:0.03500275353590648 [ Info: [41] train-mlogloss:0.03467979799956084 [ Info: [42] train-mlogloss:0.03441165485729774 [ Info: [43] train-mlogloss:0.03413363623743256 [ Info: [44] train-mlogloss:0.03393955767775576 [ Info: [45] train-mlogloss:0.03368791619936625 [ Info: [46] train-mlogloss:0.03349344713613391 [ Info: [47] train-mlogloss:0.03331779468804598 [ Info: [48] train-mlogloss:0.03312887429570158 [ Info: [49] train-mlogloss:0.03295887628570199 [ Info: [50] train-mlogloss:0.03277748419592778 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76705826203028360 [ Info: [2] train-mlogloss:0.56082984924316404 [ Info: [3] train-mlogloss:0.42471418857574461 [ Info: [4] train-mlogloss:0.33057313402493793 [ Info: [5] train-mlogloss:0.26334777474403381 [ Info: [6] train-mlogloss:0.21492296437422434 [ Info: [7] train-mlogloss:0.17345576236645380 [ Info: [8] train-mlogloss:0.14126797944307326 [ Info: [9] train-mlogloss:0.11705230037371317 [ Info: [10] train-mlogloss:0.09722759688893955 [ Info: [11] train-mlogloss:0.08323971708615621 [ Info: [12] train-mlogloss:0.07261369412144025 [ Info: [13] train-mlogloss:0.06461576444407303 [ Info: [14] train-mlogloss:0.05830762977401416 [ Info: [15] train-mlogloss:0.05279830768704415 [ Info: [16] train-mlogloss:0.04839533172547817 [ Info: [17] train-mlogloss:0.04455937582999468 [ Info: [18] train-mlogloss:0.04179617324223121 [ Info: [19] train-mlogloss:0.04060566057761510 [ Info: [20] train-mlogloss:0.03961410174767176 [ Info: [21] train-mlogloss:0.03884535137563944 [ Info: [22] train-mlogloss:0.03755191836506128 [ Info: [23] train-mlogloss:0.03644626030077537 [ Info: [24] train-mlogloss:0.03559570806721846 [ Info: [25] train-mlogloss:0.03516640822092692 [ Info: [26] train-mlogloss:0.03465184060235818 [ Info: [27] train-mlogloss:0.03428572587668896 [ Info: [28] train-mlogloss:0.03388826410596570 [ Info: [29] train-mlogloss:0.03349827659626802 [ Info: [30] train-mlogloss:0.03319611651822925 [ Info: [31] train-mlogloss:0.03290473269919554 [ Info: [32] train-mlogloss:0.03264343433702985 [ Info: [33] train-mlogloss:0.03237686865652601 [ Info: [34] train-mlogloss:0.03212885515143474 [ Info: [35] train-mlogloss:0.03187744729841749 [ Info: [36] train-mlogloss:0.03164145230626066 [ Info: [37] train-mlogloss:0.03139325958987077 [ Info: [38] train-mlogloss:0.03117732410629590 [ Info: [39] train-mlogloss:0.03095453990623355 [ Info: [40] train-mlogloss:0.03075835418576996 [ Info: [41] train-mlogloss:0.03056426788990696 [ Info: [42] train-mlogloss:0.03035025820756952 [ Info: [43] train-mlogloss:0.03016424103329579 [ Info: [44] train-mlogloss:0.02997717826316754 [ Info: [45] train-mlogloss:0.02978578717758258 [ Info: [46] train-mlogloss:0.02960236258804798 [ Info: [47] train-mlogloss:0.02942556239664555 [ Info: [48] train-mlogloss:0.02926228577271104 [ Info: [49] train-mlogloss:0.02908239897340536 [ Info: [50] train-mlogloss:0.02890496509149671 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.67450462023417157 [ Info: [2] train-mlogloss:0.45165829141934710 [ Info: [3] train-mlogloss:0.32030813773473105 [ Info: [4] train-mlogloss:0.23730839033921561 [ Info: [5] train-mlogloss:0.18092929522196452 [ Info: [6] train-mlogloss:0.13702130258083345 [ Info: [7] train-mlogloss:0.10676627586285273 [ Info: [8] train-mlogloss:0.08570973346630732 [ Info: [9] train-mlogloss:0.07025627031922341 [ Info: [10] train-mlogloss:0.06055937213202318 [ Info: [11] train-mlogloss:0.05345721875627835 [ Info: [12] train-mlogloss:0.04716723422209422 [ Info: [13] train-mlogloss:0.04303710201134284 [ Info: [14] train-mlogloss:0.04078760669877132 [ Info: [15] train-mlogloss:0.03940230403095484 [ Info: [16] train-mlogloss:0.03751796177277962 [ Info: [17] train-mlogloss:0.03600392828385035 [ Info: [18] train-mlogloss:0.03537335334966580 [ Info: [19] train-mlogloss:0.03464748036116361 [ Info: [20] train-mlogloss:0.03413511671125889 [ Info: [21] train-mlogloss:0.03372674386327466 [ Info: [22] train-mlogloss:0.03322280452897151 [ Info: [23] train-mlogloss:0.03282899454236030 [ Info: [24] train-mlogloss:0.03248942294468482 [ Info: [25] train-mlogloss:0.03212953777362903 [ Info: [26] train-mlogloss:0.03181399842103323 [ Info: [27] train-mlogloss:0.03151724291344483 [ Info: [28] train-mlogloss:0.03122521406039596 [ Info: [29] train-mlogloss:0.03094223221143087 [ Info: [30] train-mlogloss:0.03069480321680506 [ Info: [31] train-mlogloss:0.03038852429017425 [ Info: [32] train-mlogloss:0.03012997249762217 [ Info: [33] train-mlogloss:0.02987849300727248 [ Info: [34] train-mlogloss:0.02960187772909800 [ Info: [35] train-mlogloss:0.02936964768295487 [ Info: [36] train-mlogloss:0.02913824716582894 [ Info: [37] train-mlogloss:0.02889314560219645 [ Info: [38] train-mlogloss:0.02866116122653087 [ Info: [39] train-mlogloss:0.02845026569440961 [ Info: [40] train-mlogloss:0.02821928749481837 [ Info: [41] train-mlogloss:0.02800682038068771 [ Info: [42] train-mlogloss:0.02779382306771974 [ Info: [43] train-mlogloss:0.02759141823276877 [ Info: [44] train-mlogloss:0.02739912591564159 [ Info: [45] train-mlogloss:0.02720310029263298 [ Info: [46] train-mlogloss:0.02702094620404144 [ Info: [47] train-mlogloss:0.02684406977767746 [ Info: [48] train-mlogloss:0.02666056653174261 [ Info: [49] train-mlogloss:0.02650576611359914 [ Info: [50] train-mlogloss:0.02637682870961726 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.59102112054824829 [ Info: [2] train-mlogloss:0.36595771948496503 [ Info: [3] train-mlogloss:0.24656062821547189 [ Info: [4] train-mlogloss:0.17771546602249144 [ Info: [5] train-mlogloss:0.12535412758588790 [ Info: [6] train-mlogloss:0.09089625194668770 [ Info: [7] train-mlogloss:0.07043252363801003 [ Info: [8] train-mlogloss:0.05769311649103959 [ Info: [9] train-mlogloss:0.04871168598532677 [ Info: [10] train-mlogloss:0.04313400294631720 [ Info: [11] train-mlogloss:0.03975963935256004 [ Info: [12] train-mlogloss:0.03838600318878889 [ Info: [13] train-mlogloss:0.03638941394786040 [ Info: [14] train-mlogloss:0.03498723453531662 [ Info: [15] train-mlogloss:0.03431378060330947 [ Info: [16] train-mlogloss:0.03372105168178677 [ Info: [17] train-mlogloss:0.03321157457306981 [ Info: [18] train-mlogloss:0.03268732142945131 [ Info: [19] train-mlogloss:0.03221076178674897 [ Info: [20] train-mlogloss:0.03176519302030405 [ Info: [21] train-mlogloss:0.03132335865870118 [ Info: [22] train-mlogloss:0.03090850150212646 [ Info: [23] train-mlogloss:0.03053664128606518 [ Info: [24] train-mlogloss:0.03017790290837486 [ Info: [25] train-mlogloss:0.02986255235349139 [ Info: [26] train-mlogloss:0.02954628358284632 [ Info: [27] train-mlogloss:0.02921426466976603 [ Info: [28] train-mlogloss:0.02890656226625045 [ Info: [29] train-mlogloss:0.02862666943420967 [ Info: [30] train-mlogloss:0.02832816037659844 [ Info: [31] train-mlogloss:0.02806726923833291 [ Info: [32] train-mlogloss:0.02777193391074737 [ Info: [33] train-mlogloss:0.02751051190619667 [ Info: [34] train-mlogloss:0.02726574488605062 [ Info: [35] train-mlogloss:0.02702348265486459 [ Info: [36] train-mlogloss:0.02680419225556155 [ Info: [37] train-mlogloss:0.02660749094560742 [ Info: [38] train-mlogloss:0.02643391207791865 [ Info: [39] train-mlogloss:0.02628022320568562 [ Info: [40] train-mlogloss:0.02616816076139609 [ Info: [41] train-mlogloss:0.02607337879948318 [ Info: [42] train-mlogloss:0.02599911278424164 [ Info: [43] train-mlogloss:0.02593327891702453 [ Info: [44] train-mlogloss:0.02587104132709404 [ Info: [45] train-mlogloss:0.02581227211592098 [ Info: [46] train-mlogloss:0.02575903970748186 [ Info: [47] train-mlogloss:0.02570053700047235 [ Info: [48] train-mlogloss:0.02564640004498263 [ Info: [49] train-mlogloss:0.02559738504079481 [ Info: [50] train-mlogloss:0.02554512837591271 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.51639801979064937 [ Info: [2] train-mlogloss:0.29854211171468098 [ Info: [3] train-mlogloss:0.19425504763921103 [ Info: [4] train-mlogloss:0.12764202584822973 [ Info: [5] train-mlogloss:0.08658559799194336 [ Info: [6] train-mlogloss:0.06464973933994771 [ Info: [7] train-mlogloss:0.05250771813094616 [ Info: [8] train-mlogloss:0.04326814827819665 [ Info: [9] train-mlogloss:0.03821116580317418 [ Info: [10] train-mlogloss:0.03633458621799946 [ Info: [11] train-mlogloss:0.03497147291898727 [ Info: [12] train-mlogloss:0.03419664622594913 [ Info: [13] train-mlogloss:0.03348413431396087 [ Info: [14] train-mlogloss:0.03265509285032749 [ Info: [15] train-mlogloss:0.03206300343697270 [ Info: [16] train-mlogloss:0.03157300771524509 [ Info: [17] train-mlogloss:0.03108090856422981 [ Info: [18] train-mlogloss:0.03061302701011300 [ Info: [19] train-mlogloss:0.03017499776557088 [ Info: [20] train-mlogloss:0.02974813317880035 [ Info: [21] train-mlogloss:0.02933569387843211 [ Info: [22] train-mlogloss:0.02895718999207020 [ Info: [23] train-mlogloss:0.02860489500686526 [ Info: [24] train-mlogloss:0.02822636876876156 [ Info: [25] train-mlogloss:0.02787933427219590 [ Info: [26] train-mlogloss:0.02757360230510434 [ Info: [27] train-mlogloss:0.02723838417480389 [ Info: [28] train-mlogloss:0.02695962563157082 [ Info: [29] train-mlogloss:0.02670440690281491 [ Info: [30] train-mlogloss:0.02644180141389370 [ Info: [31] train-mlogloss:0.02621571996559699 [ Info: [32] train-mlogloss:0.02600966374079386 [ Info: [33] train-mlogloss:0.02577826740530630 [ Info: [34] train-mlogloss:0.02556438404135406 [ Info: [35] train-mlogloss:0.02539341645625730 [ Info: [36] train-mlogloss:0.02526221721433103 [ Info: [37] train-mlogloss:0.02516019609135886 [ Info: [38] train-mlogloss:0.02507261958283683 [ Info: [39] train-mlogloss:0.02500560134959718 [ Info: [40] train-mlogloss:0.02494081528236469 [ Info: [41] train-mlogloss:0.02488088624551892 [ Info: [42] train-mlogloss:0.02482482976901034 [ Info: [43] train-mlogloss:0.02477834995836019 [ Info: [44] train-mlogloss:0.02472258238742749 [ Info: [45] train-mlogloss:0.02467294744215906 [ Info: [46] train-mlogloss:0.02462541700030367 [ Info: [47] train-mlogloss:0.02457861637075742 [ Info: [48] train-mlogloss:0.02453903282061219 [ Info: [49] train-mlogloss:0.02448905024677515 [ Info: [50] train-mlogloss:0.02444545968125264 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97512448310852051 [ Info: [2] train-mlogloss:0.86729636112848918 [ Info: [3] train-mlogloss:0.77514571428298951 [ Info: [4] train-mlogloss:0.69534306764602660 [ Info: [5] train-mlogloss:0.62608312129974364 [ Info: [6] train-mlogloss:0.56585167249043777 [ Info: [7] train-mlogloss:0.51172204415003464 [ Info: [8] train-mlogloss:0.46491840958595276 [ Info: [9] train-mlogloss:0.42246344765027366 [ Info: [10] train-mlogloss:0.38518903692563372 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86066171407699588 [ Info: [2] train-mlogloss:0.68466972589492803 [ Info: [3] train-mlogloss:0.55403121948242184 [ Info: [4] train-mlogloss:0.45360738078753154 [ Info: [5] train-mlogloss:0.37545691569646200 [ Info: [6] train-mlogloss:0.31305779814720153 [ Info: [7] train-mlogloss:0.26299500664075215 [ Info: [8] train-mlogloss:0.22311061004797617 [ Info: [9] train-mlogloss:0.19042113900184632 [ Info: [10] train-mlogloss:0.16353149513403575 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75555452664693201 [ Info: [2] train-mlogloss:0.54125428676605225 [ Info: [3] train-mlogloss:0.40118206818898516 [ Info: [4] train-mlogloss:0.30410986661911010 [ Info: [5] train-mlogloss:0.23463790833950043 [ Info: [6] train-mlogloss:0.18428525904814402 [ Info: [7] train-mlogloss:0.14685070087512334 [ Info: [8] train-mlogloss:0.11912862519423167 [ Info: [9] train-mlogloss:0.09713153620560964 [ Info: [10] train-mlogloss:0.08125729093949000 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65996065855026242 [ Info: [2] train-mlogloss:0.42895452817281088 [ Info: [3] train-mlogloss:0.29387547890345256 [ Info: [4] train-mlogloss:0.20867508212725322 [ Info: [5] train-mlogloss:0.15200525909662246 [ Info: [6] train-mlogloss:0.11307909538348516 [ Info: [7] train-mlogloss:0.08771023904283841 [ Info: [8] train-mlogloss:0.07005362237493197 [ Info: [9] train-mlogloss:0.05725801924864451 [ Info: [10] train-mlogloss:0.04781673366824786 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57385243336359659 [ Info: [2] train-mlogloss:0.34111253023147581 [ Info: [3] train-mlogloss:0.21820744057496388 [ Info: [4] train-mlogloss:0.14614245663086572 [ Info: [5] train-mlogloss:0.10302183002233506 [ Info: [6] train-mlogloss:0.07634744818011920 [ Info: [7] train-mlogloss:0.05868842283884684 [ Info: [8] train-mlogloss:0.04717092715203762 [ Info: [9] train-mlogloss:0.03944185497860114 [ Info: [10] train-mlogloss:0.03570169130961100 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49701820651690165 [ Info: [2] train-mlogloss:0.27163368105888369 [ Info: [3] train-mlogloss:0.16387335320313773 [ Info: [4] train-mlogloss:0.10557871023813883 [ Info: [5] train-mlogloss:0.07262673700849215 [ Info: [6] train-mlogloss:0.05324668203790982 [ Info: [7] train-mlogloss:0.04081532220045726 [ Info: [8] train-mlogloss:0.03367997769266367 [ Info: [9] train-mlogloss:0.03112730511774620 [ Info: [10] train-mlogloss:0.02908502099414666 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97512448310852051 [ Info: [2] train-mlogloss:0.86729636112848918 [ Info: [3] train-mlogloss:0.77514571428298951 [ Info: [4] train-mlogloss:0.69534306764602660 [ Info: [5] train-mlogloss:0.62608312129974364 [ Info: [6] train-mlogloss:0.56585167249043777 [ Info: [7] train-mlogloss:0.51172204415003464 [ Info: [8] train-mlogloss:0.46491840958595276 [ Info: [9] train-mlogloss:0.42246344765027366 [ Info: [10] train-mlogloss:0.38518903692563372 [ Info: [11] train-mlogloss:0.35196422417958578 [ Info: [12] train-mlogloss:0.32225460767745973 [ Info: [13] train-mlogloss:0.29525919198989869 [ Info: [14] train-mlogloss:0.27130002657572427 [ Info: [15] train-mlogloss:0.24986799359321593 [ Info: [16] train-mlogloss:0.23015871127446494 [ Info: [17] train-mlogloss:0.21266270101070403 [ Info: [18] train-mlogloss:0.19652288258075715 [ Info: [19] train-mlogloss:0.18203292528788248 [ Info: [20] train-mlogloss:0.16885204891363781 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86066171407699588 [ Info: [2] train-mlogloss:0.68466972589492803 [ Info: [3] train-mlogloss:0.55403121948242184 [ Info: [4] train-mlogloss:0.45360738078753154 [ Info: [5] train-mlogloss:0.37545691569646200 [ Info: [6] train-mlogloss:0.31305779814720153 [ Info: [7] train-mlogloss:0.26299500664075215 [ Info: [8] train-mlogloss:0.22311061004797617 [ Info: [9] train-mlogloss:0.19042113900184632 [ Info: [10] train-mlogloss:0.16353149513403575 [ Info: [11] train-mlogloss:0.14141487201054892 [ Info: [12] train-mlogloss:0.12332590878009796 [ Info: [13] train-mlogloss:0.10747711181640625 [ Info: [14] train-mlogloss:0.09431311666965485 [ Info: [15] train-mlogloss:0.08387157822648685 [ Info: [16] train-mlogloss:0.07511747802297274 [ Info: [17] train-mlogloss:0.06768946548302969 [ Info: [18] train-mlogloss:0.06126014684637388 [ Info: [19] train-mlogloss:0.05583883404731751 [ Info: [20] train-mlogloss:0.05123316116631031 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75555452664693201 [ Info: [2] train-mlogloss:0.54125428676605225 [ Info: [3] train-mlogloss:0.40118206818898516 [ Info: [4] train-mlogloss:0.30410986661911010 [ Info: [5] train-mlogloss:0.23463790833950043 [ Info: [6] train-mlogloss:0.18428525904814402 [ Info: [7] train-mlogloss:0.14685070087512334 [ Info: [8] train-mlogloss:0.11912862519423167 [ Info: [9] train-mlogloss:0.09713153620560964 [ Info: [10] train-mlogloss:0.08125729093949000 [ Info: [11] train-mlogloss:0.06905807067950566 [ Info: [12] train-mlogloss:0.05951175848642985 [ Info: [13] train-mlogloss:0.05202736385166645 [ Info: [14] train-mlogloss:0.04630862946311633 [ Info: [15] train-mlogloss:0.04195519867042700 [ Info: [16] train-mlogloss:0.03825543940067291 [ Info: [17] train-mlogloss:0.03610737015803655 [ Info: [18] train-mlogloss:0.03471743214875460 [ Info: [19] train-mlogloss:0.03361010135461887 [ Info: [20] train-mlogloss:0.03260018362353245 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65996065855026242 [ Info: [2] train-mlogloss:0.42895452817281088 [ Info: [3] train-mlogloss:0.29387547890345256 [ Info: [4] train-mlogloss:0.20867508212725322 [ Info: [5] train-mlogloss:0.15200525909662246 [ Info: [6] train-mlogloss:0.11307909538348516 [ Info: [7] train-mlogloss:0.08771023904283841 [ Info: [8] train-mlogloss:0.07005362237493197 [ Info: [9] train-mlogloss:0.05725801924864451 [ Info: [10] train-mlogloss:0.04781673366824786 [ Info: [11] train-mlogloss:0.04143366868297259 [ Info: [12] train-mlogloss:0.03662895830969016 [ Info: [13] train-mlogloss:0.03362689090271791 [ Info: [14] train-mlogloss:0.03251925781369210 [ Info: [15] train-mlogloss:0.03123257633298636 [ Info: [16] train-mlogloss:0.03022194024175405 [ Info: [17] train-mlogloss:0.02933115255087614 [ Info: [18] train-mlogloss:0.02854899421334267 [ Info: [19] train-mlogloss:0.02787410349895557 [ Info: [20] train-mlogloss:0.02722829216470321 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57385243336359659 [ Info: [2] train-mlogloss:0.34111253023147581 [ Info: [3] train-mlogloss:0.21820744057496388 [ Info: [4] train-mlogloss:0.14614245663086572 [ Info: [5] train-mlogloss:0.10302183002233506 [ Info: [6] train-mlogloss:0.07634744818011920 [ Info: [7] train-mlogloss:0.05868842283884684 [ Info: [8] train-mlogloss:0.04717092715203762 [ Info: [9] train-mlogloss:0.03944185497860114 [ Info: [10] train-mlogloss:0.03570169130961100 [ Info: [11] train-mlogloss:0.03406701830526193 [ Info: [12] train-mlogloss:0.03251363292336464 [ Info: [13] train-mlogloss:0.03104291682442029 [ Info: [14] train-mlogloss:0.02990045947333177 [ Info: [15] train-mlogloss:0.02883927423506975 [ Info: [16] train-mlogloss:0.02793515689671040 [ Info: [17] train-mlogloss:0.02708721326043208 [ Info: [18] train-mlogloss:0.02634282585233450 [ Info: [19] train-mlogloss:0.02571837471177181 [ Info: [20] train-mlogloss:0.02543402891606093 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49701820651690165 [ Info: [2] train-mlogloss:0.27163368105888369 [ Info: [3] train-mlogloss:0.16387335320313773 [ Info: [4] train-mlogloss:0.10557871023813883 [ Info: [5] train-mlogloss:0.07262673700849215 [ Info: [6] train-mlogloss:0.05324668203790982 [ Info: [7] train-mlogloss:0.04081532220045726 [ Info: [8] train-mlogloss:0.03367997769266367 [ Info: [9] train-mlogloss:0.03112730511774620 [ Info: [10] train-mlogloss:0.02908502099414666 [ Info: [11] train-mlogloss:0.02761244637270769 [ Info: [12] train-mlogloss:0.02639439813792705 [ Info: [13] train-mlogloss:0.02581517960876226 [ Info: [14] train-mlogloss:0.02527290734151999 [ Info: [15] train-mlogloss:0.02482555251568556 [ Info: [16] train-mlogloss:0.02426632714768251 [ Info: [17] train-mlogloss:0.02388506822288036 [ Info: [18] train-mlogloss:0.02353537386904160 [ Info: [19] train-mlogloss:0.02330905083566904 [ Info: [20] train-mlogloss:0.02321857819954554 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97512448310852051 [ Info: [2] train-mlogloss:0.86729636112848918 [ Info: [3] train-mlogloss:0.77514571428298951 [ Info: [4] train-mlogloss:0.69534306764602660 [ Info: [5] train-mlogloss:0.62608312129974364 [ Info: [6] train-mlogloss:0.56585167249043777 [ Info: [7] train-mlogloss:0.51172204415003464 [ Info: [8] train-mlogloss:0.46491840958595276 [ Info: [9] train-mlogloss:0.42246344765027366 [ Info: [10] train-mlogloss:0.38518903692563372 [ Info: [11] train-mlogloss:0.35196422417958578 [ Info: [12] train-mlogloss:0.32225460767745973 [ Info: [13] train-mlogloss:0.29525919198989869 [ Info: [14] train-mlogloss:0.27130002657572427 [ Info: [15] train-mlogloss:0.24986799359321593 [ Info: [16] train-mlogloss:0.23015871127446494 [ Info: [17] train-mlogloss:0.21266270101070403 [ Info: [18] train-mlogloss:0.19652288258075715 [ Info: [19] train-mlogloss:0.18203292528788248 [ Info: [20] train-mlogloss:0.16885204891363781 [ Info: [21] train-mlogloss:0.15700063308080037 [ Info: [22] train-mlogloss:0.14576734721660614 [ Info: [23] train-mlogloss:0.13596256216367086 [ Info: [24] train-mlogloss:0.12665990879138311 [ Info: [25] train-mlogloss:0.11858511418104171 [ Info: [26] train-mlogloss:0.11083600858847301 [ Info: [27] train-mlogloss:0.10376416335503261 [ Info: [28] train-mlogloss:0.09730730046828588 [ Info: [29] train-mlogloss:0.09170120348532995 [ Info: [30] train-mlogloss:0.08656823952992757 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86066171407699588 [ Info: [2] train-mlogloss:0.68466972589492803 [ Info: [3] train-mlogloss:0.55403121948242184 [ Info: [4] train-mlogloss:0.45360738078753154 [ Info: [5] train-mlogloss:0.37545691569646200 [ Info: [6] train-mlogloss:0.31305779814720153 [ Info: [7] train-mlogloss:0.26299500664075215 [ Info: [8] train-mlogloss:0.22311061004797617 [ Info: [9] train-mlogloss:0.19042113900184632 [ Info: [10] train-mlogloss:0.16353149513403575 [ Info: [11] train-mlogloss:0.14141487201054892 [ Info: [12] train-mlogloss:0.12332590878009796 [ Info: [13] train-mlogloss:0.10747711181640625 [ Info: [14] train-mlogloss:0.09431311666965485 [ Info: [15] train-mlogloss:0.08387157822648685 [ Info: [16] train-mlogloss:0.07511747802297274 [ Info: [17] train-mlogloss:0.06768946548302969 [ Info: [18] train-mlogloss:0.06126014684637388 [ Info: [19] train-mlogloss:0.05583883404731751 [ Info: [20] train-mlogloss:0.05123316116631031 [ Info: [21] train-mlogloss:0.04742208647231261 [ Info: [22] train-mlogloss:0.04429157557586829 [ Info: [23] train-mlogloss:0.04155233502388000 [ Info: [24] train-mlogloss:0.03905394755303860 [ Info: [25] train-mlogloss:0.03749414672454198 [ Info: [26] train-mlogloss:0.03588072982927164 [ Info: [27] train-mlogloss:0.03521597865968942 [ Info: [28] train-mlogloss:0.03445595713953177 [ Info: [29] train-mlogloss:0.03373912038902441 [ Info: [30] train-mlogloss:0.03308869066337745 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75555452664693201 [ Info: [2] train-mlogloss:0.54125428676605225 [ Info: [3] train-mlogloss:0.40118206818898516 [ Info: [4] train-mlogloss:0.30410986661911010 [ Info: [5] train-mlogloss:0.23463790833950043 [ Info: [6] train-mlogloss:0.18428525904814402 [ Info: [7] train-mlogloss:0.14685070087512334 [ Info: [8] train-mlogloss:0.11912862519423167 [ Info: [9] train-mlogloss:0.09713153620560964 [ Info: [10] train-mlogloss:0.08125729093949000 [ Info: [11] train-mlogloss:0.06905807067950566 [ Info: [12] train-mlogloss:0.05951175848642985 [ Info: [13] train-mlogloss:0.05202736385166645 [ Info: [14] train-mlogloss:0.04630862946311633 [ Info: [15] train-mlogloss:0.04195519867042700 [ Info: [16] train-mlogloss:0.03825543940067291 [ Info: [17] train-mlogloss:0.03610737015803655 [ Info: [18] train-mlogloss:0.03471743214875460 [ Info: [19] train-mlogloss:0.03361010135461887 [ Info: [20] train-mlogloss:0.03260018362353245 [ Info: [21] train-mlogloss:0.03181648172438144 [ Info: [22] train-mlogloss:0.03104946302870909 [ Info: [23] train-mlogloss:0.03036747461805741 [ Info: [24] train-mlogloss:0.02969797464708487 [ Info: [25] train-mlogloss:0.02908963292837143 [ Info: [26] train-mlogloss:0.02852975931018591 [ Info: [27] train-mlogloss:0.02798413979510466 [ Info: [28] train-mlogloss:0.02749145470559597 [ Info: [29] train-mlogloss:0.02704689780871073 [ Info: [30] train-mlogloss:0.02664121758192778 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65996065855026242 [ Info: [2] train-mlogloss:0.42895452817281088 [ Info: [3] train-mlogloss:0.29387547890345256 [ Info: [4] train-mlogloss:0.20867508212725322 [ Info: [5] train-mlogloss:0.15200525909662246 [ Info: [6] train-mlogloss:0.11307909538348516 [ Info: [7] train-mlogloss:0.08771023904283841 [ Info: [8] train-mlogloss:0.07005362237493197 [ Info: [9] train-mlogloss:0.05725801924864451 [ Info: [10] train-mlogloss:0.04781673366824786 [ Info: [11] train-mlogloss:0.04143366868297259 [ Info: [12] train-mlogloss:0.03662895830969016 [ Info: [13] train-mlogloss:0.03362689090271791 [ Info: [14] train-mlogloss:0.03251925781369210 [ Info: [15] train-mlogloss:0.03123257633298636 [ Info: [16] train-mlogloss:0.03022194024175405 [ Info: [17] train-mlogloss:0.02933115255087614 [ Info: [18] train-mlogloss:0.02854899421334267 [ Info: [19] train-mlogloss:0.02787410349895557 [ Info: [20] train-mlogloss:0.02722829216470321 [ Info: [21] train-mlogloss:0.02663902200758457 [ Info: [22] train-mlogloss:0.02636173320313295 [ Info: [23] train-mlogloss:0.02609203014522791 [ Info: [24] train-mlogloss:0.02585188545286655 [ Info: [25] train-mlogloss:0.02561291077484687 [ Info: [26] train-mlogloss:0.02540044898788134 [ Info: [27] train-mlogloss:0.02518559730301301 [ Info: [28] train-mlogloss:0.02499492224305868 [ Info: [29] train-mlogloss:0.02481666742513577 [ Info: [30] train-mlogloss:0.02465881410365304 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57385243336359659 [ Info: [2] train-mlogloss:0.34111253023147581 [ Info: [3] train-mlogloss:0.21820744057496388 [ Info: [4] train-mlogloss:0.14614245663086572 [ Info: [5] train-mlogloss:0.10302183002233506 [ Info: [6] train-mlogloss:0.07634744818011920 [ Info: [7] train-mlogloss:0.05868842283884684 [ Info: [8] train-mlogloss:0.04717092715203762 [ Info: [9] train-mlogloss:0.03944185497860114 [ Info: [10] train-mlogloss:0.03570169130961100 [ Info: [11] train-mlogloss:0.03406701830526193 [ Info: [12] train-mlogloss:0.03251363292336464 [ Info: [13] train-mlogloss:0.03104291682442029 [ Info: [14] train-mlogloss:0.02990045947333177 [ Info: [15] train-mlogloss:0.02883927423506975 [ Info: [16] train-mlogloss:0.02793515689671040 [ Info: [17] train-mlogloss:0.02708721326043208 [ Info: [18] train-mlogloss:0.02634282585233450 [ Info: [19] train-mlogloss:0.02571837471177181 [ Info: [20] train-mlogloss:0.02543402891606093 [ Info: [21] train-mlogloss:0.02519484863926967 [ Info: [22] train-mlogloss:0.02497114062309265 [ Info: [23] train-mlogloss:0.02477494097004334 [ Info: [24] train-mlogloss:0.02460351709276438 [ Info: [25] train-mlogloss:0.02442937721808752 [ Info: [26] train-mlogloss:0.02428502639755607 [ Info: [27] train-mlogloss:0.02413060146073500 [ Info: [28] train-mlogloss:0.02400718690206607 [ Info: [29] train-mlogloss:0.02387023831407229 [ Info: [30] train-mlogloss:0.02376354206974308 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49701820651690165 [ Info: [2] train-mlogloss:0.27163368105888369 [ Info: [3] train-mlogloss:0.16387335320313773 [ Info: [4] train-mlogloss:0.10557871023813883 [ Info: [5] train-mlogloss:0.07262673700849215 [ Info: [6] train-mlogloss:0.05324668203790982 [ Info: [7] train-mlogloss:0.04081532220045726 [ Info: [8] train-mlogloss:0.03367997769266367 [ Info: [9] train-mlogloss:0.03112730511774620 [ Info: [10] train-mlogloss:0.02908502099414666 [ Info: [11] train-mlogloss:0.02761244637270769 [ Info: [12] train-mlogloss:0.02639439813792705 [ Info: [13] train-mlogloss:0.02581517960876226 [ Info: [14] train-mlogloss:0.02527290734151999 [ Info: [15] train-mlogloss:0.02482555251568556 [ Info: [16] train-mlogloss:0.02426632714768251 [ Info: [17] train-mlogloss:0.02388506822288036 [ Info: [18] train-mlogloss:0.02353537386904160 [ Info: [19] train-mlogloss:0.02330905083566904 [ Info: [20] train-mlogloss:0.02321857819954554 [ Info: [21] train-mlogloss:0.02312744813660781 [ Info: [22] train-mlogloss:0.02305999750892321 [ Info: [23] train-mlogloss:0.02297940094023943 [ Info: [24] train-mlogloss:0.02291808790216843 [ Info: [25] train-mlogloss:0.02284694073100885 [ Info: [26] train-mlogloss:0.02279070199777683 [ Info: [27] train-mlogloss:0.02272786796092987 [ Info: [28] train-mlogloss:0.02267612074812253 [ Info: [29] train-mlogloss:0.02261938211818536 [ Info: [30] train-mlogloss:0.02257029538353284 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97512448310852051 [ Info: [2] train-mlogloss:0.86729636112848918 [ Info: [3] train-mlogloss:0.77514571428298951 [ Info: [4] train-mlogloss:0.69534306764602660 [ Info: [5] train-mlogloss:0.62608312129974364 [ Info: [6] train-mlogloss:0.56585167249043777 [ Info: [7] train-mlogloss:0.51172204415003464 [ Info: [8] train-mlogloss:0.46491840958595276 [ Info: [9] train-mlogloss:0.42246344765027366 [ Info: [10] train-mlogloss:0.38518903692563372 [ Info: [11] train-mlogloss:0.35196422417958578 [ Info: [12] train-mlogloss:0.32225460767745973 [ Info: [13] train-mlogloss:0.29525919198989869 [ Info: [14] train-mlogloss:0.27130002657572427 [ Info: [15] train-mlogloss:0.24986799359321593 [ Info: [16] train-mlogloss:0.23015871127446494 [ Info: [17] train-mlogloss:0.21266270101070403 [ Info: [18] train-mlogloss:0.19652288258075715 [ Info: [19] train-mlogloss:0.18203292528788248 [ Info: [20] train-mlogloss:0.16885204891363781 [ Info: [21] train-mlogloss:0.15700063308080037 [ Info: [22] train-mlogloss:0.14576734721660614 [ Info: [23] train-mlogloss:0.13596256216367086 [ Info: [24] train-mlogloss:0.12665990879138311 [ Info: [25] train-mlogloss:0.11858511418104171 [ Info: [26] train-mlogloss:0.11083600858847301 [ Info: [27] train-mlogloss:0.10376416335503261 [ Info: [28] train-mlogloss:0.09730730046828588 [ Info: [29] train-mlogloss:0.09170120348532995 [ Info: [30] train-mlogloss:0.08656823952992757 [ Info: [31] train-mlogloss:0.08184166039029757 [ Info: [32] train-mlogloss:0.07752069229880969 [ Info: [33] train-mlogloss:0.07352526590228081 [ Info: [34] train-mlogloss:0.06985229720671972 [ Info: [35] train-mlogloss:0.06639512817064921 [ Info: [36] train-mlogloss:0.06320534889896710 [ Info: [37] train-mlogloss:0.06029011597235998 [ Info: [38] train-mlogloss:0.05754142304261525 [ Info: [39] train-mlogloss:0.05508090371886889 [ Info: [40] train-mlogloss:0.05287827414770921 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86066171407699588 [ Info: [2] train-mlogloss:0.68466972589492803 [ Info: [3] train-mlogloss:0.55403121948242184 [ Info: [4] train-mlogloss:0.45360738078753154 [ Info: [5] train-mlogloss:0.37545691569646200 [ Info: [6] train-mlogloss:0.31305779814720153 [ Info: [7] train-mlogloss:0.26299500664075215 [ Info: [8] train-mlogloss:0.22311061004797617 [ Info: [9] train-mlogloss:0.19042113900184632 [ Info: [10] train-mlogloss:0.16353149513403575 [ Info: [11] train-mlogloss:0.14141487201054892 [ Info: [12] train-mlogloss:0.12332590878009796 [ Info: [13] train-mlogloss:0.10747711181640625 [ Info: [14] train-mlogloss:0.09431311666965485 [ Info: [15] train-mlogloss:0.08387157822648685 [ Info: [16] train-mlogloss:0.07511747802297274 [ Info: [17] train-mlogloss:0.06768946548302969 [ Info: [18] train-mlogloss:0.06126014684637388 [ Info: [19] train-mlogloss:0.05583883404731751 [ Info: [20] train-mlogloss:0.05123316116631031 [ Info: [21] train-mlogloss:0.04742208647231261 [ Info: [22] train-mlogloss:0.04429157557586829 [ Info: [23] train-mlogloss:0.04155233502388000 [ Info: [24] train-mlogloss:0.03905394755303860 [ Info: [25] train-mlogloss:0.03749414672454198 [ Info: [26] train-mlogloss:0.03588072982927164 [ Info: [27] train-mlogloss:0.03521597865968942 [ Info: [28] train-mlogloss:0.03445595713953177 [ Info: [29] train-mlogloss:0.03373912038902441 [ Info: [30] train-mlogloss:0.03308869066337745 [ Info: [31] train-mlogloss:0.03254182226955891 [ Info: [32] train-mlogloss:0.03202443202336629 [ Info: [33] train-mlogloss:0.03151340826104085 [ Info: [34] train-mlogloss:0.03104373181859652 [ Info: [35] train-mlogloss:0.03057242701450984 [ Info: [36] train-mlogloss:0.03013493450979392 [ Info: [37] train-mlogloss:0.02972273134936889 [ Info: [38] train-mlogloss:0.02931572818507751 [ Info: [39] train-mlogloss:0.02893768113106489 [ Info: [40] train-mlogloss:0.02856964794298013 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75555452664693201 [ Info: [2] train-mlogloss:0.54125428676605225 [ Info: [3] train-mlogloss:0.40118206818898516 [ Info: [4] train-mlogloss:0.30410986661911010 [ Info: [5] train-mlogloss:0.23463790833950043 [ Info: [6] train-mlogloss:0.18428525904814402 [ Info: [7] train-mlogloss:0.14685070087512334 [ Info: [8] train-mlogloss:0.11912862519423167 [ Info: [9] train-mlogloss:0.09713153620560964 [ Info: [10] train-mlogloss:0.08125729093949000 [ Info: [11] train-mlogloss:0.06905807067950566 [ Info: [12] train-mlogloss:0.05951175848642985 [ Info: [13] train-mlogloss:0.05202736385166645 [ Info: [14] train-mlogloss:0.04630862946311633 [ Info: [15] train-mlogloss:0.04195519867042700 [ Info: [16] train-mlogloss:0.03825543940067291 [ Info: [17] train-mlogloss:0.03610737015803655 [ Info: [18] train-mlogloss:0.03471743214875460 [ Info: [19] train-mlogloss:0.03361010135461887 [ Info: [20] train-mlogloss:0.03260018362353245 [ Info: [21] train-mlogloss:0.03181648172438144 [ Info: [22] train-mlogloss:0.03104946302870909 [ Info: [23] train-mlogloss:0.03036747461805741 [ Info: [24] train-mlogloss:0.02969797464708487 [ Info: [25] train-mlogloss:0.02908963292837143 [ Info: [26] train-mlogloss:0.02852975931018591 [ Info: [27] train-mlogloss:0.02798413979510466 [ Info: [28] train-mlogloss:0.02749145470559597 [ Info: [29] train-mlogloss:0.02704689780871073 [ Info: [30] train-mlogloss:0.02664121758192778 [ Info: [31] train-mlogloss:0.02629168886691332 [ Info: [32] train-mlogloss:0.02606205107023319 [ Info: [33] train-mlogloss:0.02585303577284018 [ Info: [34] train-mlogloss:0.02565017356226842 [ Info: [35] train-mlogloss:0.02546712474897504 [ Info: [36] train-mlogloss:0.02528513874858618 [ Info: [37] train-mlogloss:0.02512211626395583 [ Info: [38] train-mlogloss:0.02495673877497514 [ Info: [39] train-mlogloss:0.02482750110328198 [ Info: [40] train-mlogloss:0.02469156980514526 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65996065855026242 [ Info: [2] train-mlogloss:0.42895452817281088 [ Info: [3] train-mlogloss:0.29387547890345256 [ Info: [4] train-mlogloss:0.20867508212725322 [ Info: [5] train-mlogloss:0.15200525909662246 [ Info: [6] train-mlogloss:0.11307909538348516 [ Info: [7] train-mlogloss:0.08771023904283841 [ Info: [8] train-mlogloss:0.07005362237493197 [ Info: [9] train-mlogloss:0.05725801924864451 [ Info: [10] train-mlogloss:0.04781673366824786 [ Info: [11] train-mlogloss:0.04143366868297259 [ Info: [12] train-mlogloss:0.03662895830969016 [ Info: [13] train-mlogloss:0.03362689090271791 [ Info: [14] train-mlogloss:0.03251925781369210 [ Info: [15] train-mlogloss:0.03123257633298636 [ Info: [16] train-mlogloss:0.03022194024175405 [ Info: [17] train-mlogloss:0.02933115255087614 [ Info: [18] train-mlogloss:0.02854899421334267 [ Info: [19] train-mlogloss:0.02787410349895557 [ Info: [20] train-mlogloss:0.02722829216470321 [ Info: [21] train-mlogloss:0.02663902200758457 [ Info: [22] train-mlogloss:0.02636173320313295 [ Info: [23] train-mlogloss:0.02609203014522791 [ Info: [24] train-mlogloss:0.02585188545286655 [ Info: [25] train-mlogloss:0.02561291077484687 [ Info: [26] train-mlogloss:0.02540044898788134 [ Info: [27] train-mlogloss:0.02518559730301301 [ Info: [28] train-mlogloss:0.02499492224305868 [ Info: [29] train-mlogloss:0.02481666742513577 [ Info: [30] train-mlogloss:0.02465881410365304 [ Info: [31] train-mlogloss:0.02449327775587638 [ Info: [32] train-mlogloss:0.02434745452056328 [ Info: [33] train-mlogloss:0.02424621632322669 [ Info: [34] train-mlogloss:0.02416681638608376 [ Info: [35] train-mlogloss:0.02410348237802585 [ Info: [36] train-mlogloss:0.02405225882306695 [ Info: [37] train-mlogloss:0.02401031472409765 [ Info: [38] train-mlogloss:0.02397521439318856 [ Info: [39] train-mlogloss:0.02394343219076594 [ Info: [40] train-mlogloss:0.02390930811564127 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57385243336359659 [ Info: [2] train-mlogloss:0.34111253023147581 [ Info: [3] train-mlogloss:0.21820744057496388 [ Info: [4] train-mlogloss:0.14614245663086572 [ Info: [5] train-mlogloss:0.10302183002233506 [ Info: [6] train-mlogloss:0.07634744818011920 [ Info: [7] train-mlogloss:0.05868842283884684 [ Info: [8] train-mlogloss:0.04717092715203762 [ Info: [9] train-mlogloss:0.03944185497860114 [ Info: [10] train-mlogloss:0.03570169130961100 [ Info: [11] train-mlogloss:0.03406701830526193 [ Info: [12] train-mlogloss:0.03251363292336464 [ Info: [13] train-mlogloss:0.03104291682442029 [ Info: [14] train-mlogloss:0.02990045947333177 [ Info: [15] train-mlogloss:0.02883927423506975 [ Info: [16] train-mlogloss:0.02793515689671040 [ Info: [17] train-mlogloss:0.02708721326043208 [ Info: [18] train-mlogloss:0.02634282585233450 [ Info: [19] train-mlogloss:0.02571837471177181 [ Info: [20] train-mlogloss:0.02543402891606093 [ Info: [21] train-mlogloss:0.02519484863926967 [ Info: [22] train-mlogloss:0.02497114062309265 [ Info: [23] train-mlogloss:0.02477494097004334 [ Info: [24] train-mlogloss:0.02460351709276438 [ Info: [25] train-mlogloss:0.02442937721808752 [ Info: [26] train-mlogloss:0.02428502639755607 [ Info: [27] train-mlogloss:0.02413060146073500 [ Info: [28] train-mlogloss:0.02400718690206607 [ Info: [29] train-mlogloss:0.02387023831407229 [ Info: [30] train-mlogloss:0.02376354206974308 [ Info: [31] train-mlogloss:0.02367751627539595 [ Info: [32] train-mlogloss:0.02353583826993903 [ Info: [33] train-mlogloss:0.02344373463342587 [ Info: [34] train-mlogloss:0.02336612762883306 [ Info: [35] train-mlogloss:0.02329857357467214 [ Info: [36] train-mlogloss:0.02314084580168128 [ Info: [37] train-mlogloss:0.02306395826240381 [ Info: [38] train-mlogloss:0.02300011377160748 [ Info: [39] train-mlogloss:0.02294330884392063 [ Info: [40] train-mlogloss:0.02289452406888207 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49701820651690165 [ Info: [2] train-mlogloss:0.27163368105888369 [ Info: [3] train-mlogloss:0.16387335320313773 [ Info: [4] train-mlogloss:0.10557871023813883 [ Info: [5] train-mlogloss:0.07262673700849215 [ Info: [6] train-mlogloss:0.05324668203790982 [ Info: [7] train-mlogloss:0.04081532220045726 [ Info: [8] train-mlogloss:0.03367997769266367 [ Info: [9] train-mlogloss:0.03112730511774620 [ Info: [10] train-mlogloss:0.02908502099414666 [ Info: [11] train-mlogloss:0.02761244637270769 [ Info: [12] train-mlogloss:0.02639439813792705 [ Info: [13] train-mlogloss:0.02581517960876226 [ Info: [14] train-mlogloss:0.02527290734151999 [ Info: [15] train-mlogloss:0.02482555251568556 [ Info: [16] train-mlogloss:0.02426632714768251 [ Info: [17] train-mlogloss:0.02388506822288036 [ Info: [18] train-mlogloss:0.02353537386904160 [ Info: [19] train-mlogloss:0.02330905083566904 [ Info: [20] train-mlogloss:0.02321857819954554 [ Info: [21] train-mlogloss:0.02312744813660781 [ Info: [22] train-mlogloss:0.02305999750892321 [ Info: [23] train-mlogloss:0.02297940094023943 [ Info: [24] train-mlogloss:0.02291808790216843 [ Info: [25] train-mlogloss:0.02284694073100885 [ Info: [26] train-mlogloss:0.02279070199777683 [ Info: [27] train-mlogloss:0.02272786796092987 [ Info: [28] train-mlogloss:0.02267612074812253 [ Info: [29] train-mlogloss:0.02261938211818536 [ Info: [30] train-mlogloss:0.02257029538353284 [ Info: [31] train-mlogloss:0.02251880369459589 [ Info: [32] train-mlogloss:0.02247245417907834 [ Info: [33] train-mlogloss:0.02242540396749973 [ Info: [34] train-mlogloss:0.02238173957293232 [ Info: [35] train-mlogloss:0.02233168469121059 [ Info: [36] train-mlogloss:0.02229041287054618 [ Info: [37] train-mlogloss:0.02224347469086448 [ Info: [38] train-mlogloss:0.02220315812155604 [ Info: [39] train-mlogloss:0.02216482313970725 [ Info: [40] train-mlogloss:0.02211815703039368 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97512448310852051 [ Info: [2] train-mlogloss:0.86729636112848918 [ Info: [3] train-mlogloss:0.77514571428298951 [ Info: [4] train-mlogloss:0.69534306764602660 [ Info: [5] train-mlogloss:0.62608312129974364 [ Info: [6] train-mlogloss:0.56585167249043777 [ Info: [7] train-mlogloss:0.51172204415003464 [ Info: [8] train-mlogloss:0.46491840958595276 [ Info: [9] train-mlogloss:0.42246344765027366 [ Info: [10] train-mlogloss:0.38518903692563372 [ Info: [11] train-mlogloss:0.35196422417958578 [ Info: [12] train-mlogloss:0.32225460767745973 [ Info: [13] train-mlogloss:0.29525919198989869 [ Info: [14] train-mlogloss:0.27130002657572427 [ Info: [15] train-mlogloss:0.24986799359321593 [ Info: [16] train-mlogloss:0.23015871127446494 [ Info: [17] train-mlogloss:0.21266270101070403 [ Info: [18] train-mlogloss:0.19652288258075715 [ Info: [19] train-mlogloss:0.18203292528788248 [ Info: [20] train-mlogloss:0.16885204891363781 [ Info: [21] train-mlogloss:0.15700063308080037 [ Info: [22] train-mlogloss:0.14576734721660614 [ Info: [23] train-mlogloss:0.13596256216367086 [ Info: [24] train-mlogloss:0.12665990879138311 [ Info: [25] train-mlogloss:0.11858511418104171 [ Info: [26] train-mlogloss:0.11083600858847301 [ Info: [27] train-mlogloss:0.10376416335503261 [ Info: [28] train-mlogloss:0.09730730046828588 [ Info: [29] train-mlogloss:0.09170120348532995 [ Info: [30] train-mlogloss:0.08656823952992757 [ Info: [31] train-mlogloss:0.08184166039029757 [ Info: [32] train-mlogloss:0.07752069229880969 [ Info: [33] train-mlogloss:0.07352526590228081 [ Info: [34] train-mlogloss:0.06985229720671972 [ Info: [35] train-mlogloss:0.06639512817064921 [ Info: [36] train-mlogloss:0.06320534889896710 [ Info: [37] train-mlogloss:0.06029011597235998 [ Info: [38] train-mlogloss:0.05754142304261525 [ Info: [39] train-mlogloss:0.05508090371886889 [ Info: [40] train-mlogloss:0.05287827414770921 [ Info: [41] train-mlogloss:0.05081802097459634 [ Info: [42] train-mlogloss:0.04892009871701399 [ Info: [43] train-mlogloss:0.04715109619001547 [ Info: [44] train-mlogloss:0.04559802636504173 [ Info: [45] train-mlogloss:0.04409344705442587 [ Info: [46] train-mlogloss:0.04275767770906289 [ Info: [47] train-mlogloss:0.04144595310091972 [ Info: [48] train-mlogloss:0.04040749693910281 [ Info: [49] train-mlogloss:0.03926556328932444 [ Info: [50] train-mlogloss:0.03846212441722552 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86066171407699588 [ Info: [2] train-mlogloss:0.68466972589492803 [ Info: [3] train-mlogloss:0.55403121948242184 [ Info: [4] train-mlogloss:0.45360738078753154 [ Info: [5] train-mlogloss:0.37545691569646200 [ Info: [6] train-mlogloss:0.31305779814720153 [ Info: [7] train-mlogloss:0.26299500664075215 [ Info: [8] train-mlogloss:0.22311061004797617 [ Info: [9] train-mlogloss:0.19042113900184632 [ Info: [10] train-mlogloss:0.16353149513403575 [ Info: [11] train-mlogloss:0.14141487201054892 [ Info: [12] train-mlogloss:0.12332590878009796 [ Info: [13] train-mlogloss:0.10747711181640625 [ Info: [14] train-mlogloss:0.09431311666965485 [ Info: [15] train-mlogloss:0.08387157822648685 [ Info: [16] train-mlogloss:0.07511747802297274 [ Info: [17] train-mlogloss:0.06768946548302969 [ Info: [18] train-mlogloss:0.06126014684637388 [ Info: [19] train-mlogloss:0.05583883404731751 [ Info: [20] train-mlogloss:0.05123316116631031 [ Info: [21] train-mlogloss:0.04742208647231261 [ Info: [22] train-mlogloss:0.04429157557586829 [ Info: [23] train-mlogloss:0.04155233502388000 [ Info: [24] train-mlogloss:0.03905394755303860 [ Info: [25] train-mlogloss:0.03749414672454198 [ Info: [26] train-mlogloss:0.03588072982927164 [ Info: [27] train-mlogloss:0.03521597865968942 [ Info: [28] train-mlogloss:0.03445595713953177 [ Info: [29] train-mlogloss:0.03373912038902441 [ Info: [30] train-mlogloss:0.03308869066337745 [ Info: [31] train-mlogloss:0.03254182226955891 [ Info: [32] train-mlogloss:0.03202443202336629 [ Info: [33] train-mlogloss:0.03151340826104085 [ Info: [34] train-mlogloss:0.03104373181859652 [ Info: [35] train-mlogloss:0.03057242701450984 [ Info: [36] train-mlogloss:0.03013493450979392 [ Info: [37] train-mlogloss:0.02972273134936889 [ Info: [38] train-mlogloss:0.02931572818507751 [ Info: [39] train-mlogloss:0.02893768113106489 [ Info: [40] train-mlogloss:0.02856964794298013 [ Info: [41] train-mlogloss:0.02821576889604330 [ Info: [42] train-mlogloss:0.02788168748219808 [ Info: [43] train-mlogloss:0.02755287282168865 [ Info: [44] train-mlogloss:0.02724623014529546 [ Info: [45] train-mlogloss:0.02694682670136293 [ Info: [46] train-mlogloss:0.02665990213553111 [ Info: [47] train-mlogloss:0.02651271533221006 [ Info: [48] train-mlogloss:0.02636780388653278 [ Info: [49] train-mlogloss:0.02623290633161863 [ Info: [50] train-mlogloss:0.02609766957039635 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75555452664693201 [ Info: [2] train-mlogloss:0.54125428676605225 [ Info: [3] train-mlogloss:0.40118206818898516 [ Info: [4] train-mlogloss:0.30410986661911010 [ Info: [5] train-mlogloss:0.23463790833950043 [ Info: [6] train-mlogloss:0.18428525904814402 [ Info: [7] train-mlogloss:0.14685070087512334 [ Info: [8] train-mlogloss:0.11912862519423167 [ Info: [9] train-mlogloss:0.09713153620560964 [ Info: [10] train-mlogloss:0.08125729093949000 [ Info: [11] train-mlogloss:0.06905807067950566 [ Info: [12] train-mlogloss:0.05951175848642985 [ Info: [13] train-mlogloss:0.05202736385166645 [ Info: [14] train-mlogloss:0.04630862946311633 [ Info: [15] train-mlogloss:0.04195519867042700 [ Info: [16] train-mlogloss:0.03825543940067291 [ Info: [17] train-mlogloss:0.03610737015803655 [ Info: [18] train-mlogloss:0.03471743214875460 [ Info: [19] train-mlogloss:0.03361010135461887 [ Info: [20] train-mlogloss:0.03260018362353245 [ Info: [21] train-mlogloss:0.03181648172438144 [ Info: [22] train-mlogloss:0.03104946302870909 [ Info: [23] train-mlogloss:0.03036747461805741 [ Info: [24] train-mlogloss:0.02969797464708487 [ Info: [25] train-mlogloss:0.02908963292837143 [ Info: [26] train-mlogloss:0.02852975931018591 [ Info: [27] train-mlogloss:0.02798413979510466 [ Info: [28] train-mlogloss:0.02749145470559597 [ Info: [29] train-mlogloss:0.02704689780871073 [ Info: [30] train-mlogloss:0.02664121758192778 [ Info: [31] train-mlogloss:0.02629168886691332 [ Info: [32] train-mlogloss:0.02606205107023319 [ Info: [33] train-mlogloss:0.02585303577284018 [ Info: [34] train-mlogloss:0.02565017356226842 [ Info: [35] train-mlogloss:0.02546712474897504 [ Info: [36] train-mlogloss:0.02528513874858618 [ Info: [37] train-mlogloss:0.02512211626395583 [ Info: [38] train-mlogloss:0.02495673877497514 [ Info: [39] train-mlogloss:0.02482750110328198 [ Info: [40] train-mlogloss:0.02469156980514526 [ Info: [41] train-mlogloss:0.02456434928501646 [ Info: [42] train-mlogloss:0.02444167471801241 [ Info: [43] train-mlogloss:0.02431717184682687 [ Info: [44] train-mlogloss:0.02422084347034494 [ Info: [45] train-mlogloss:0.02412698312972983 [ Info: [46] train-mlogloss:0.02403601958726843 [ Info: [47] train-mlogloss:0.02395152820895115 [ Info: [48] train-mlogloss:0.02386581185584267 [ Info: [49] train-mlogloss:0.02378920560702681 [ Info: [50] train-mlogloss:0.02370852641761303 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65996065855026242 [ Info: [2] train-mlogloss:0.42895452817281088 [ Info: [3] train-mlogloss:0.29387547890345256 [ Info: [4] train-mlogloss:0.20867508212725322 [ Info: [5] train-mlogloss:0.15200525909662246 [ Info: [6] train-mlogloss:0.11307909538348516 [ Info: [7] train-mlogloss:0.08771023904283841 [ Info: [8] train-mlogloss:0.07005362237493197 [ Info: [9] train-mlogloss:0.05725801924864451 [ Info: [10] train-mlogloss:0.04781673366824786 [ Info: [11] train-mlogloss:0.04143366868297259 [ Info: [12] train-mlogloss:0.03662895830969016 [ Info: [13] train-mlogloss:0.03362689090271791 [ Info: [14] train-mlogloss:0.03251925781369210 [ Info: [15] train-mlogloss:0.03123257633298636 [ Info: [16] train-mlogloss:0.03022194024175405 [ Info: [17] train-mlogloss:0.02933115255087614 [ Info: [18] train-mlogloss:0.02854899421334267 [ Info: [19] train-mlogloss:0.02787410349895557 [ Info: [20] train-mlogloss:0.02722829216470321 [ Info: [21] train-mlogloss:0.02663902200758457 [ Info: [22] train-mlogloss:0.02636173320313295 [ Info: [23] train-mlogloss:0.02609203014522791 [ Info: [24] train-mlogloss:0.02585188545286655 [ Info: [25] train-mlogloss:0.02561291077484687 [ Info: [26] train-mlogloss:0.02540044898788134 [ Info: [27] train-mlogloss:0.02518559730301301 [ Info: [28] train-mlogloss:0.02499492224305868 [ Info: [29] train-mlogloss:0.02481666742513577 [ Info: [30] train-mlogloss:0.02465881410365304 [ Info: [31] train-mlogloss:0.02449327775587638 [ Info: [32] train-mlogloss:0.02434745452056328 [ Info: [33] train-mlogloss:0.02424621632322669 [ Info: [34] train-mlogloss:0.02416681638608376 [ Info: [35] train-mlogloss:0.02410348237802585 [ Info: [36] train-mlogloss:0.02405225882306695 [ Info: [37] train-mlogloss:0.02401031472409765 [ Info: [38] train-mlogloss:0.02397521439318856 [ Info: [39] train-mlogloss:0.02394343219076594 [ Info: [40] train-mlogloss:0.02390930811564127 [ Info: [41] train-mlogloss:0.02387912254159649 [ Info: [42] train-mlogloss:0.02368911427756151 [ Info: [43] train-mlogloss:0.02364951714873314 [ Info: [44] train-mlogloss:0.02361195977156361 [ Info: [45] train-mlogloss:0.02358120948076248 [ Info: [46] train-mlogloss:0.02355094822123647 [ Info: [47] train-mlogloss:0.02352114293103417 [ Info: [48] train-mlogloss:0.02349171818544467 [ Info: [49] train-mlogloss:0.02346433335294326 [ Info: [50] train-mlogloss:0.02343514171739419 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57385243336359659 [ Info: [2] train-mlogloss:0.34111253023147581 [ Info: [3] train-mlogloss:0.21820744057496388 [ Info: [4] train-mlogloss:0.14614245663086572 [ Info: [5] train-mlogloss:0.10302183002233506 [ Info: [6] train-mlogloss:0.07634744818011920 [ Info: [7] train-mlogloss:0.05868842283884684 [ Info: [8] train-mlogloss:0.04717092715203762 [ Info: [9] train-mlogloss:0.03944185497860114 [ Info: [10] train-mlogloss:0.03570169130961100 [ Info: [11] train-mlogloss:0.03406701830526193 [ Info: [12] train-mlogloss:0.03251363292336464 [ Info: [13] train-mlogloss:0.03104291682442029 [ Info: [14] train-mlogloss:0.02990045947333177 [ Info: [15] train-mlogloss:0.02883927423506975 [ Info: [16] train-mlogloss:0.02793515689671040 [ Info: [17] train-mlogloss:0.02708721326043208 [ Info: [18] train-mlogloss:0.02634282585233450 [ Info: [19] train-mlogloss:0.02571837471177181 [ Info: [20] train-mlogloss:0.02543402891606093 [ Info: [21] train-mlogloss:0.02519484863926967 [ Info: [22] train-mlogloss:0.02497114062309265 [ Info: [23] train-mlogloss:0.02477494097004334 [ Info: [24] train-mlogloss:0.02460351709276438 [ Info: [25] train-mlogloss:0.02442937721808752 [ Info: [26] train-mlogloss:0.02428502639755607 [ Info: [27] train-mlogloss:0.02413060146073500 [ Info: [28] train-mlogloss:0.02400718690206607 [ Info: [29] train-mlogloss:0.02387023831407229 [ Info: [30] train-mlogloss:0.02376354206974308 [ Info: [31] train-mlogloss:0.02367751627539595 [ Info: [32] train-mlogloss:0.02353583826993903 [ Info: [33] train-mlogloss:0.02344373463342587 [ Info: [34] train-mlogloss:0.02336612762883306 [ Info: [35] train-mlogloss:0.02329857357467214 [ Info: [36] train-mlogloss:0.02314084580168128 [ Info: [37] train-mlogloss:0.02306395826240381 [ Info: [38] train-mlogloss:0.02300011377160748 [ Info: [39] train-mlogloss:0.02294330884392063 [ Info: [40] train-mlogloss:0.02289452406888207 [ Info: [41] train-mlogloss:0.02285032675911983 [ Info: [42] train-mlogloss:0.02266134323552251 [ Info: [43] train-mlogloss:0.02260985588654876 [ Info: [44] train-mlogloss:0.02256276385237773 [ Info: [45] train-mlogloss:0.02252323227624099 [ Info: [46] train-mlogloss:0.02248677166178822 [ Info: [47] train-mlogloss:0.02245543337737520 [ Info: [48] train-mlogloss:0.02242240091164907 [ Info: [49] train-mlogloss:0.02239027152458827 [ Info: [50] train-mlogloss:0.02236023414880037 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49701820651690165 [ Info: [2] train-mlogloss:0.27163368105888369 [ Info: [3] train-mlogloss:0.16387335320313773 [ Info: [4] train-mlogloss:0.10557871023813883 [ Info: [5] train-mlogloss:0.07262673700849215 [ Info: [6] train-mlogloss:0.05324668203790982 [ Info: [7] train-mlogloss:0.04081532220045726 [ Info: [8] train-mlogloss:0.03367997769266367 [ Info: [9] train-mlogloss:0.03112730511774620 [ Info: [10] train-mlogloss:0.02908502099414666 [ Info: [11] train-mlogloss:0.02761244637270769 [ Info: [12] train-mlogloss:0.02639439813792705 [ Info: [13] train-mlogloss:0.02581517960876226 [ Info: [14] train-mlogloss:0.02527290734151999 [ Info: [15] train-mlogloss:0.02482555251568556 [ Info: [16] train-mlogloss:0.02426632714768251 [ Info: [17] train-mlogloss:0.02388506822288036 [ Info: [18] train-mlogloss:0.02353537386904160 [ Info: [19] train-mlogloss:0.02330905083566904 [ Info: [20] train-mlogloss:0.02321857819954554 [ Info: [21] train-mlogloss:0.02312744813660781 [ Info: [22] train-mlogloss:0.02305999750892321 [ Info: [23] train-mlogloss:0.02297940094023943 [ Info: [24] train-mlogloss:0.02291808790216843 [ Info: [25] train-mlogloss:0.02284694073100885 [ Info: [26] train-mlogloss:0.02279070199777683 [ Info: [27] train-mlogloss:0.02272786796092987 [ Info: [28] train-mlogloss:0.02267612074812253 [ Info: [29] train-mlogloss:0.02261938211818536 [ Info: [30] train-mlogloss:0.02257029538353284 [ Info: [31] train-mlogloss:0.02251880369459589 [ Info: [32] train-mlogloss:0.02247245417907834 [ Info: [33] train-mlogloss:0.02242540396749973 [ Info: [34] train-mlogloss:0.02238173957293232 [ Info: [35] train-mlogloss:0.02233168469121059 [ Info: [36] train-mlogloss:0.02229041287054618 [ Info: [37] train-mlogloss:0.02224347469086448 [ Info: [38] train-mlogloss:0.02220315812155604 [ Info: [39] train-mlogloss:0.02216482313970725 [ Info: [40] train-mlogloss:0.02211815703039368 [ Info: [41] train-mlogloss:0.02208094772572319 [ Info: [42] train-mlogloss:0.02203830335910122 [ Info: [43] train-mlogloss:0.02200353978201747 [ Info: [44] train-mlogloss:0.02196354744955897 [ Info: [45] train-mlogloss:0.02192717989285787 [ Info: [46] train-mlogloss:0.02188847896953424 [ Info: [47] train-mlogloss:0.02185341466839115 [ Info: [48] train-mlogloss:0.02181809803470969 [ Info: [49] train-mlogloss:0.02178427914157510 [ Info: [50] train-mlogloss:0.02175227461382747 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97413552443186446 [ Info: [2] train-mlogloss:0.86688317855199182 [ Info: [3] train-mlogloss:0.77527084032694493 [ Info: [4] train-mlogloss:0.69626627127329510 [ Info: [5] train-mlogloss:0.62761980930964156 [ Info: [6] train-mlogloss:0.56761043310165404 [ Info: [7] train-mlogloss:0.51488890727361047 [ Info: [8] train-mlogloss:0.46822448492050173 [ Info: [9] train-mlogloss:0.42699123620986940 [ Info: [10] train-mlogloss:0.39018353104591369 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85898540576299032 [ Info: [2] train-mlogloss:0.68509469111760457 [ Info: [3] train-mlogloss:0.55604569196701048 [ Info: [4] train-mlogloss:0.45752897222836814 [ Info: [5] train-mlogloss:0.38047309915224709 [ Info: [6] train-mlogloss:0.31979853510856626 [ Info: [7] train-mlogloss:0.27115648408730825 [ Info: [8] train-mlogloss:0.23238915721575418 [ Info: [9] train-mlogloss:0.19920234262943268 [ Info: [10] train-mlogloss:0.17232782403628030 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75351350863774613 [ Info: [2] train-mlogloss:0.54328525861104326 [ Info: [3] train-mlogloss:0.40579761664072672 [ Info: [4] train-mlogloss:0.31068715016047160 [ Info: [5] train-mlogloss:0.24392614106337229 [ Info: [6] train-mlogloss:0.19294214665889739 [ Info: [7] train-mlogloss:0.15590452174345651 [ Info: [8] train-mlogloss:0.12723159611225129 [ Info: [9] train-mlogloss:0.10647594153881074 [ Info: [10] train-mlogloss:0.08950323368112247 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65788962443669641 [ Info: [2] train-mlogloss:0.43303150931994122 [ Info: [3] train-mlogloss:0.30105252861976622 [ Info: [4] train-mlogloss:0.21910450458526612 [ Info: [5] train-mlogloss:0.16259648819764455 [ Info: [6] train-mlogloss:0.12360071907440821 [ Info: [7] train-mlogloss:0.09772800783316295 [ Info: [8] train-mlogloss:0.08021043961246808 [ Info: [9] train-mlogloss:0.06669927100340525 [ Info: [10] train-mlogloss:0.05775564784804980 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57208842277526850 [ Info: [2] train-mlogloss:0.34745948433876039 [ Info: [3] train-mlogloss:0.22378440340360006 [ Info: [4] train-mlogloss:0.15391641249259314 [ Info: [5] train-mlogloss:0.11022159675757090 [ Info: [6] train-mlogloss:0.08441765492161114 [ Info: [7] train-mlogloss:0.06612448905905088 [ Info: [8] train-mlogloss:0.05498739846050740 [ Info: [9] train-mlogloss:0.04672108245392641 [ Info: [10] train-mlogloss:0.04185751105348269 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49589092135429380 [ Info: [2] train-mlogloss:0.28064468999703723 [ Info: [3] train-mlogloss:0.17225385824839273 [ Info: [4] train-mlogloss:0.11392221470673879 [ Info: [5] train-mlogloss:0.08228941733638445 [ Info: [6] train-mlogloss:0.06285228441158930 [ Info: [7] train-mlogloss:0.05133861914277077 [ Info: [8] train-mlogloss:0.04446221729119619 [ Info: [9] train-mlogloss:0.04181530745079120 [ Info: [10] train-mlogloss:0.03920408533265193 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97413552443186446 [ Info: [2] train-mlogloss:0.86688317855199182 [ Info: [3] train-mlogloss:0.77527084032694493 [ Info: [4] train-mlogloss:0.69626627127329510 [ Info: [5] train-mlogloss:0.62761980930964156 [ Info: [6] train-mlogloss:0.56761043310165404 [ Info: [7] train-mlogloss:0.51488890727361047 [ Info: [8] train-mlogloss:0.46822448492050173 [ Info: [9] train-mlogloss:0.42699123620986940 [ Info: [10] train-mlogloss:0.39018353104591369 [ Info: [11] train-mlogloss:0.35751341938972475 [ Info: [12] train-mlogloss:0.32819565097490949 [ Info: [13] train-mlogloss:0.30206292947133384 [ Info: [14] train-mlogloss:0.27858432730038962 [ Info: [15] train-mlogloss:0.25762557884057363 [ Info: [16] train-mlogloss:0.23847492853800456 [ Info: [17] train-mlogloss:0.22118032395839690 [ Info: [18] train-mlogloss:0.20491800864537557 [ Info: [19] train-mlogloss:0.19026887834072112 [ Info: [20] train-mlogloss:0.17705845892429350 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85898540576299032 [ Info: [2] train-mlogloss:0.68509469111760457 [ Info: [3] train-mlogloss:0.55604569196701048 [ Info: [4] train-mlogloss:0.45752897222836814 [ Info: [5] train-mlogloss:0.38047309915224709 [ Info: [6] train-mlogloss:0.31979853510856626 [ Info: [7] train-mlogloss:0.27115648408730825 [ Info: [8] train-mlogloss:0.23238915721575418 [ Info: [9] train-mlogloss:0.19920234262943268 [ Info: [10] train-mlogloss:0.17232782403628030 [ Info: [11] train-mlogloss:0.15046440889437993 [ Info: [12] train-mlogloss:0.13158280968666078 [ Info: [13] train-mlogloss:0.11683072179555892 [ Info: [14] train-mlogloss:0.10354349782069525 [ Info: [15] train-mlogloss:0.09320894593993823 [ Info: [16] train-mlogloss:0.08374405359228453 [ Info: [17] train-mlogloss:0.07632628356417021 [ Info: [18] train-mlogloss:0.07035387307405472 [ Info: [19] train-mlogloss:0.06453112185001374 [ Info: [20] train-mlogloss:0.05985325542589029 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75351350863774613 [ Info: [2] train-mlogloss:0.54328525861104326 [ Info: [3] train-mlogloss:0.40579761664072672 [ Info: [4] train-mlogloss:0.31068715016047160 [ Info: [5] train-mlogloss:0.24392614106337229 [ Info: [6] train-mlogloss:0.19294214665889739 [ Info: [7] train-mlogloss:0.15590452174345651 [ Info: [8] train-mlogloss:0.12723159611225129 [ Info: [9] train-mlogloss:0.10647594153881074 [ Info: [10] train-mlogloss:0.08950323368112247 [ Info: [11] train-mlogloss:0.07790681481361389 [ Info: [12] train-mlogloss:0.06768345460295677 [ Info: [13] train-mlogloss:0.06053363449871540 [ Info: [14] train-mlogloss:0.05437083117663860 [ Info: [15] train-mlogloss:0.05000538113216559 [ Info: [16] train-mlogloss:0.04663832152883212 [ Info: [17] train-mlogloss:0.04382487294574579 [ Info: [18] train-mlogloss:0.04236552740136782 [ Info: [19] train-mlogloss:0.04097524099051952 [ Info: [20] train-mlogloss:0.03982878846426805 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65788962443669641 [ Info: [2] train-mlogloss:0.43303150931994122 [ Info: [3] train-mlogloss:0.30105252861976622 [ Info: [4] train-mlogloss:0.21910450458526612 [ Info: [5] train-mlogloss:0.16259648819764455 [ Info: [6] train-mlogloss:0.12360071907440821 [ Info: [7] train-mlogloss:0.09772800783316295 [ Info: [8] train-mlogloss:0.08021043961246808 [ Info: [9] train-mlogloss:0.06669927100340525 [ Info: [10] train-mlogloss:0.05775564784804980 [ Info: [11] train-mlogloss:0.05152114319304625 [ Info: [12] train-mlogloss:0.04504490862290064 [ Info: [13] train-mlogloss:0.04152016469587883 [ Info: [14] train-mlogloss:0.03970572493970394 [ Info: [15] train-mlogloss:0.03831805764387052 [ Info: [16] train-mlogloss:0.03617411474386851 [ Info: [17] train-mlogloss:0.03533735627929369 [ Info: [18] train-mlogloss:0.03457676382114490 [ Info: [19] train-mlogloss:0.03387781526893377 [ Info: [20] train-mlogloss:0.03289205112804969 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57208842277526850 [ Info: [2] train-mlogloss:0.34745948433876039 [ Info: [3] train-mlogloss:0.22378440340360006 [ Info: [4] train-mlogloss:0.15391641249259314 [ Info: [5] train-mlogloss:0.11022159675757090 [ Info: [6] train-mlogloss:0.08441765492161114 [ Info: [7] train-mlogloss:0.06612448905905088 [ Info: [8] train-mlogloss:0.05498739846050740 [ Info: [9] train-mlogloss:0.04672108245392641 [ Info: [10] train-mlogloss:0.04185751105348269 [ Info: [11] train-mlogloss:0.03960522070527077 [ Info: [12] train-mlogloss:0.03791902481267850 [ Info: [13] train-mlogloss:0.03620637596895297 [ Info: [14] train-mlogloss:0.03512874500205120 [ Info: [15] train-mlogloss:0.03392485948900382 [ Info: [16] train-mlogloss:0.03293466016029318 [ Info: [17] train-mlogloss:0.03228403696169456 [ Info: [18] train-mlogloss:0.03145845600714286 [ Info: [19] train-mlogloss:0.03097573772072792 [ Info: [20] train-mlogloss:0.03030644325539470 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49589092135429380 [ Info: [2] train-mlogloss:0.28064468999703723 [ Info: [3] train-mlogloss:0.17225385824839273 [ Info: [4] train-mlogloss:0.11392221470673879 [ Info: [5] train-mlogloss:0.08228941733638445 [ Info: [6] train-mlogloss:0.06285228441158930 [ Info: [7] train-mlogloss:0.05133861914277077 [ Info: [8] train-mlogloss:0.04446221729119619 [ Info: [9] train-mlogloss:0.04181530745079120 [ Info: [10] train-mlogloss:0.03920408533265193 [ Info: [11] train-mlogloss:0.03775984977682432 [ Info: [12] train-mlogloss:0.03659267760813236 [ Info: [13] train-mlogloss:0.03474093834559123 [ Info: [14] train-mlogloss:0.03365106364091237 [ Info: [15] train-mlogloss:0.03239923010890682 [ Info: [16] train-mlogloss:0.03140168776114782 [ Info: [17] train-mlogloss:0.03066447045654059 [ Info: [18] train-mlogloss:0.02973777684072653 [ Info: [19] train-mlogloss:0.02924908489609758 [ Info: [20] train-mlogloss:0.02883503593504429 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97413552443186446 [ Info: [2] train-mlogloss:0.86688317855199182 [ Info: [3] train-mlogloss:0.77527084032694493 [ Info: [4] train-mlogloss:0.69626627127329510 [ Info: [5] train-mlogloss:0.62761980930964156 [ Info: [6] train-mlogloss:0.56761043310165404 [ Info: [7] train-mlogloss:0.51488890727361047 [ Info: [8] train-mlogloss:0.46822448492050173 [ Info: [9] train-mlogloss:0.42699123620986940 [ Info: [10] train-mlogloss:0.39018353104591369 [ Info: [11] train-mlogloss:0.35751341938972475 [ Info: [12] train-mlogloss:0.32819565097490949 [ Info: [13] train-mlogloss:0.30206292947133384 [ Info: [14] train-mlogloss:0.27858432730038962 [ Info: [15] train-mlogloss:0.25762557884057363 [ Info: [16] train-mlogloss:0.23847492853800456 [ Info: [17] train-mlogloss:0.22118032395839690 [ Info: [18] train-mlogloss:0.20491800864537557 [ Info: [19] train-mlogloss:0.19026887834072112 [ Info: [20] train-mlogloss:0.17705845892429350 [ Info: [21] train-mlogloss:0.16513324379920960 [ Info: [22] train-mlogloss:0.15435756891965866 [ Info: [23] train-mlogloss:0.14421556641658148 [ Info: [24] train-mlogloss:0.13531201799710590 [ Info: [25] train-mlogloss:0.12686781197786332 [ Info: [26] train-mlogloss:0.11975281089544296 [ Info: [27] train-mlogloss:0.11259596049785614 [ Info: [28] train-mlogloss:0.10661135435104370 [ Info: [29] train-mlogloss:0.10051598817110062 [ Info: [30] train-mlogloss:0.09548658281564712 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85898540576299032 [ Info: [2] train-mlogloss:0.68509469111760457 [ Info: [3] train-mlogloss:0.55604569196701048 [ Info: [4] train-mlogloss:0.45752897222836814 [ Info: [5] train-mlogloss:0.38047309915224709 [ Info: [6] train-mlogloss:0.31979853510856626 [ Info: [7] train-mlogloss:0.27115648408730825 [ Info: [8] train-mlogloss:0.23238915721575418 [ Info: [9] train-mlogloss:0.19920234262943268 [ Info: [10] train-mlogloss:0.17232782403628030 [ Info: [11] train-mlogloss:0.15046440889437993 [ Info: [12] train-mlogloss:0.13158280968666078 [ Info: [13] train-mlogloss:0.11683072179555892 [ Info: [14] train-mlogloss:0.10354349782069525 [ Info: [15] train-mlogloss:0.09320894593993823 [ Info: [16] train-mlogloss:0.08374405359228453 [ Info: [17] train-mlogloss:0.07632628356417021 [ Info: [18] train-mlogloss:0.07035387307405472 [ Info: [19] train-mlogloss:0.06453112185001374 [ Info: [20] train-mlogloss:0.05985325542589029 [ Info: [21] train-mlogloss:0.05585860572755337 [ Info: [22] train-mlogloss:0.05295530356466770 [ Info: [23] train-mlogloss:0.05041366947193941 [ Info: [24] train-mlogloss:0.04823400840163231 [ Info: [25] train-mlogloss:0.04613091652592023 [ Info: [26] train-mlogloss:0.04435084640979767 [ Info: [27] train-mlogloss:0.04323887525747220 [ Info: [28] train-mlogloss:0.04221493365863959 [ Info: [29] train-mlogloss:0.04135293448964755 [ Info: [30] train-mlogloss:0.04057895901302497 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75351350863774613 [ Info: [2] train-mlogloss:0.54328525861104326 [ Info: [3] train-mlogloss:0.40579761664072672 [ Info: [4] train-mlogloss:0.31068715016047160 [ Info: [5] train-mlogloss:0.24392614106337229 [ Info: [6] train-mlogloss:0.19294214665889739 [ Info: [7] train-mlogloss:0.15590452174345651 [ Info: [8] train-mlogloss:0.12723159611225129 [ Info: [9] train-mlogloss:0.10647594153881074 [ Info: [10] train-mlogloss:0.08950323368112247 [ Info: [11] train-mlogloss:0.07790681481361389 [ Info: [12] train-mlogloss:0.06768345460295677 [ Info: [13] train-mlogloss:0.06053363449871540 [ Info: [14] train-mlogloss:0.05437083117663860 [ Info: [15] train-mlogloss:0.05000538113216559 [ Info: [16] train-mlogloss:0.04663832152883212 [ Info: [17] train-mlogloss:0.04382487294574579 [ Info: [18] train-mlogloss:0.04236552740136782 [ Info: [19] train-mlogloss:0.04097524099051952 [ Info: [20] train-mlogloss:0.03982878846426805 [ Info: [21] train-mlogloss:0.03845760945230722 [ Info: [22] train-mlogloss:0.03750633675605058 [ Info: [23] train-mlogloss:0.03689250407119592 [ Info: [24] train-mlogloss:0.03630743201822043 [ Info: [25] train-mlogloss:0.03548321173836787 [ Info: [26] train-mlogloss:0.03492237200339635 [ Info: [27] train-mlogloss:0.03441382728517055 [ Info: [28] train-mlogloss:0.03391775542249282 [ Info: [29] train-mlogloss:0.03324633471667766 [ Info: [30] train-mlogloss:0.03276816291113695 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65788962443669641 [ Info: [2] train-mlogloss:0.43303150931994122 [ Info: [3] train-mlogloss:0.30105252861976622 [ Info: [4] train-mlogloss:0.21910450458526612 [ Info: [5] train-mlogloss:0.16259648819764455 [ Info: [6] train-mlogloss:0.12360071907440821 [ Info: [7] train-mlogloss:0.09772800783316295 [ Info: [8] train-mlogloss:0.08021043961246808 [ Info: [9] train-mlogloss:0.06669927100340525 [ Info: [10] train-mlogloss:0.05775564784804980 [ Info: [11] train-mlogloss:0.05152114319304625 [ Info: [12] train-mlogloss:0.04504490862290064 [ Info: [13] train-mlogloss:0.04152016469587883 [ Info: [14] train-mlogloss:0.03970572493970394 [ Info: [15] train-mlogloss:0.03831805764387052 [ Info: [16] train-mlogloss:0.03617411474386851 [ Info: [17] train-mlogloss:0.03533735627929369 [ Info: [18] train-mlogloss:0.03457676382114490 [ Info: [19] train-mlogloss:0.03387781526893377 [ Info: [20] train-mlogloss:0.03289205112804969 [ Info: [21] train-mlogloss:0.03222642347216606 [ Info: [22] train-mlogloss:0.03167654799918334 [ Info: [23] train-mlogloss:0.03092972946663698 [ Info: [24] train-mlogloss:0.03054502185434103 [ Info: [25] train-mlogloss:0.03018961007396380 [ Info: [26] train-mlogloss:0.02984988606845339 [ Info: [27] train-mlogloss:0.02953378268207113 [ Info: [28] train-mlogloss:0.02925112853447596 [ Info: [29] train-mlogloss:0.02907419479762514 [ Info: [30] train-mlogloss:0.02881398100405931 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57208842277526850 [ Info: [2] train-mlogloss:0.34745948433876039 [ Info: [3] train-mlogloss:0.22378440340360006 [ Info: [4] train-mlogloss:0.15391641249259314 [ Info: [5] train-mlogloss:0.11022159675757090 [ Info: [6] train-mlogloss:0.08441765492161114 [ Info: [7] train-mlogloss:0.06612448905905088 [ Info: [8] train-mlogloss:0.05498739846050740 [ Info: [9] train-mlogloss:0.04672108245392641 [ Info: [10] train-mlogloss:0.04185751105348269 [ Info: [11] train-mlogloss:0.03960522070527077 [ Info: [12] train-mlogloss:0.03791902481267850 [ Info: [13] train-mlogloss:0.03620637596895297 [ Info: [14] train-mlogloss:0.03512874500205120 [ Info: [15] train-mlogloss:0.03392485948900382 [ Info: [16] train-mlogloss:0.03293466016029318 [ Info: [17] train-mlogloss:0.03228403696169456 [ Info: [18] train-mlogloss:0.03145845600714286 [ Info: [19] train-mlogloss:0.03097573772072792 [ Info: [20] train-mlogloss:0.03030644325539470 [ Info: [21] train-mlogloss:0.02988934859633446 [ Info: [22] train-mlogloss:0.02952840418244402 [ Info: [23] train-mlogloss:0.02931113458548983 [ Info: [24] train-mlogloss:0.02898630049079657 [ Info: [25] train-mlogloss:0.02880834835891922 [ Info: [26] train-mlogloss:0.02851354346921046 [ Info: [27] train-mlogloss:0.02836516691992680 [ Info: [28] train-mlogloss:0.02809600376834472 [ Info: [29] train-mlogloss:0.02796883430952827 [ Info: [30] train-mlogloss:0.02771932608137528 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49589092135429380 [ Info: [2] train-mlogloss:0.28064468999703723 [ Info: [3] train-mlogloss:0.17225385824839273 [ Info: [4] train-mlogloss:0.11392221470673879 [ Info: [5] train-mlogloss:0.08228941733638445 [ Info: [6] train-mlogloss:0.06285228441158930 [ Info: [7] train-mlogloss:0.05133861914277077 [ Info: [8] train-mlogloss:0.04446221729119619 [ Info: [9] train-mlogloss:0.04181530745079120 [ Info: [10] train-mlogloss:0.03920408533265193 [ Info: [11] train-mlogloss:0.03775984977682432 [ Info: [12] train-mlogloss:0.03659267760813236 [ Info: [13] train-mlogloss:0.03474093834559123 [ Info: [14] train-mlogloss:0.03365106364091237 [ Info: [15] train-mlogloss:0.03239923010890682 [ Info: [16] train-mlogloss:0.03140168776114782 [ Info: [17] train-mlogloss:0.03066447045654059 [ Info: [18] train-mlogloss:0.02973777684072653 [ Info: [19] train-mlogloss:0.02924908489609758 [ Info: [20] train-mlogloss:0.02883503593504429 [ Info: [21] train-mlogloss:0.02845635262007514 [ Info: [22] train-mlogloss:0.02811591724554698 [ Info: [23] train-mlogloss:0.02790660072118044 [ Info: [24] train-mlogloss:0.02759206893543402 [ Info: [25] train-mlogloss:0.02733258338024219 [ Info: [26] train-mlogloss:0.02715596426899234 [ Info: [27] train-mlogloss:0.02691985180601478 [ Info: [28] train-mlogloss:0.02669823679452141 [ Info: [29] train-mlogloss:0.02650230549275875 [ Info: [30] train-mlogloss:0.02630961587652564 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97413552443186446 [ Info: [2] train-mlogloss:0.86688317855199182 [ Info: [3] train-mlogloss:0.77527084032694493 [ Info: [4] train-mlogloss:0.69626627127329510 [ Info: [5] train-mlogloss:0.62761980930964156 [ Info: [6] train-mlogloss:0.56761043310165404 [ Info: [7] train-mlogloss:0.51488890727361047 [ Info: [8] train-mlogloss:0.46822448492050173 [ Info: [9] train-mlogloss:0.42699123620986940 [ Info: [10] train-mlogloss:0.39018353104591369 [ Info: [11] train-mlogloss:0.35751341938972475 [ Info: [12] train-mlogloss:0.32819565097490949 [ Info: [13] train-mlogloss:0.30206292947133384 [ Info: [14] train-mlogloss:0.27858432730038962 [ Info: [15] train-mlogloss:0.25762557884057363 [ Info: [16] train-mlogloss:0.23847492853800456 [ Info: [17] train-mlogloss:0.22118032395839690 [ Info: [18] train-mlogloss:0.20491800864537557 [ Info: [19] train-mlogloss:0.19026887834072112 [ Info: [20] train-mlogloss:0.17705845892429350 [ Info: [21] train-mlogloss:0.16513324379920960 [ Info: [22] train-mlogloss:0.15435756891965866 [ Info: [23] train-mlogloss:0.14421556641658148 [ Info: [24] train-mlogloss:0.13531201799710590 [ Info: [25] train-mlogloss:0.12686781197786332 [ Info: [26] train-mlogloss:0.11975281089544296 [ Info: [27] train-mlogloss:0.11259596049785614 [ Info: [28] train-mlogloss:0.10661135435104370 [ Info: [29] train-mlogloss:0.10051598817110062 [ Info: [30] train-mlogloss:0.09548658281564712 [ Info: [31] train-mlogloss:0.09029265244801839 [ Info: [32] train-mlogloss:0.08563703551888466 [ Info: [33] train-mlogloss:0.08185242811838786 [ Info: [34] train-mlogloss:0.07795473650097846 [ Info: [35] train-mlogloss:0.07473148157199223 [ Info: [36] train-mlogloss:0.07145892401536305 [ Info: [37] train-mlogloss:0.06844995349645615 [ Info: [38] train-mlogloss:0.06577623551090558 [ Info: [39] train-mlogloss:0.06342179293433825 [ Info: [40] train-mlogloss:0.06110303396979968 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85898540576299032 [ Info: [2] train-mlogloss:0.68509469111760457 [ Info: [3] train-mlogloss:0.55604569196701048 [ Info: [4] train-mlogloss:0.45752897222836814 [ Info: [5] train-mlogloss:0.38047309915224709 [ Info: [6] train-mlogloss:0.31979853510856626 [ Info: [7] train-mlogloss:0.27115648408730825 [ Info: [8] train-mlogloss:0.23238915721575418 [ Info: [9] train-mlogloss:0.19920234262943268 [ Info: [10] train-mlogloss:0.17232782403628030 [ Info: [11] train-mlogloss:0.15046440889437993 [ Info: [12] train-mlogloss:0.13158280968666078 [ Info: [13] train-mlogloss:0.11683072179555892 [ Info: [14] train-mlogloss:0.10354349782069525 [ Info: [15] train-mlogloss:0.09320894593993823 [ Info: [16] train-mlogloss:0.08374405359228453 [ Info: [17] train-mlogloss:0.07632628356417021 [ Info: [18] train-mlogloss:0.07035387307405472 [ Info: [19] train-mlogloss:0.06453112185001374 [ Info: [20] train-mlogloss:0.05985325542589029 [ Info: [21] train-mlogloss:0.05585860572755337 [ Info: [22] train-mlogloss:0.05295530356466770 [ Info: [23] train-mlogloss:0.05041366947193941 [ Info: [24] train-mlogloss:0.04823400840163231 [ Info: [25] train-mlogloss:0.04613091652592023 [ Info: [26] train-mlogloss:0.04435084640979767 [ Info: [27] train-mlogloss:0.04323887525747220 [ Info: [28] train-mlogloss:0.04221493365863959 [ Info: [29] train-mlogloss:0.04135293448964755 [ Info: [30] train-mlogloss:0.04057895901302497 [ Info: [31] train-mlogloss:0.03987344540655613 [ Info: [32] train-mlogloss:0.03915016664812962 [ Info: [33] train-mlogloss:0.03871565443774064 [ Info: [34] train-mlogloss:0.03804392545173566 [ Info: [35] train-mlogloss:0.03762431878596544 [ Info: [36] train-mlogloss:0.03703841578215360 [ Info: [37] train-mlogloss:0.03663308029373487 [ Info: [38] train-mlogloss:0.03626647185534239 [ Info: [39] train-mlogloss:0.03572338572392861 [ Info: [40] train-mlogloss:0.03536634594202041 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75351350863774613 [ Info: [2] train-mlogloss:0.54328525861104326 [ Info: [3] train-mlogloss:0.40579761664072672 [ Info: [4] train-mlogloss:0.31068715016047160 [ Info: [5] train-mlogloss:0.24392614106337229 [ Info: [6] train-mlogloss:0.19294214665889739 [ Info: [7] train-mlogloss:0.15590452174345651 [ Info: [8] train-mlogloss:0.12723159611225129 [ Info: [9] train-mlogloss:0.10647594153881074 [ Info: [10] train-mlogloss:0.08950323368112247 [ Info: [11] train-mlogloss:0.07790681481361389 [ Info: [12] train-mlogloss:0.06768345460295677 [ Info: [13] train-mlogloss:0.06053363449871540 [ Info: [14] train-mlogloss:0.05437083117663860 [ Info: [15] train-mlogloss:0.05000538113216559 [ Info: [16] train-mlogloss:0.04663832152883212 [ Info: [17] train-mlogloss:0.04382487294574579 [ Info: [18] train-mlogloss:0.04236552740136782 [ Info: [19] train-mlogloss:0.04097524099051952 [ Info: [20] train-mlogloss:0.03982878846426805 [ Info: [21] train-mlogloss:0.03845760945230722 [ Info: [22] train-mlogloss:0.03750633675605058 [ Info: [23] train-mlogloss:0.03689250407119592 [ Info: [24] train-mlogloss:0.03630743201822043 [ Info: [25] train-mlogloss:0.03548321173836787 [ Info: [26] train-mlogloss:0.03492237200339635 [ Info: [27] train-mlogloss:0.03441382728517055 [ Info: [28] train-mlogloss:0.03391775542249282 [ Info: [29] train-mlogloss:0.03324633471667766 [ Info: [30] train-mlogloss:0.03276816291113695 [ Info: [31] train-mlogloss:0.03234131109590332 [ Info: [32] train-mlogloss:0.03191651886949937 [ Info: [33] train-mlogloss:0.03136365848282973 [ Info: [34] train-mlogloss:0.03095267817378044 [ Info: [35] train-mlogloss:0.03058511816586057 [ Info: [36] train-mlogloss:0.03030986207847794 [ Info: [37] train-mlogloss:0.03004627891505758 [ Info: [38] train-mlogloss:0.02979240285232663 [ Info: [39] train-mlogloss:0.02955878501137098 [ Info: [40] train-mlogloss:0.02933935344840089 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65788962443669641 [ Info: [2] train-mlogloss:0.43303150931994122 [ Info: [3] train-mlogloss:0.30105252861976622 [ Info: [4] train-mlogloss:0.21910450458526612 [ Info: [5] train-mlogloss:0.16259648819764455 [ Info: [6] train-mlogloss:0.12360071907440821 [ Info: [7] train-mlogloss:0.09772800783316295 [ Info: [8] train-mlogloss:0.08021043961246808 [ Info: [9] train-mlogloss:0.06669927100340525 [ Info: [10] train-mlogloss:0.05775564784804980 [ Info: [11] train-mlogloss:0.05152114319304625 [ Info: [12] train-mlogloss:0.04504490862290064 [ Info: [13] train-mlogloss:0.04152016469587883 [ Info: [14] train-mlogloss:0.03970572493970394 [ Info: [15] train-mlogloss:0.03831805764387052 [ Info: [16] train-mlogloss:0.03617411474386851 [ Info: [17] train-mlogloss:0.03533735627929369 [ Info: [18] train-mlogloss:0.03457676382114490 [ Info: [19] train-mlogloss:0.03387781526893377 [ Info: [20] train-mlogloss:0.03289205112804969 [ Info: [21] train-mlogloss:0.03222642347216606 [ Info: [22] train-mlogloss:0.03167654799918334 [ Info: [23] train-mlogloss:0.03092972946663698 [ Info: [24] train-mlogloss:0.03054502185434103 [ Info: [25] train-mlogloss:0.03018961007396380 [ Info: [26] train-mlogloss:0.02984988606845339 [ Info: [27] train-mlogloss:0.02953378268207113 [ Info: [28] train-mlogloss:0.02925112853447596 [ Info: [29] train-mlogloss:0.02907419479762514 [ Info: [30] train-mlogloss:0.02881398100405931 [ Info: [31] train-mlogloss:0.02866360389317076 [ Info: [32] train-mlogloss:0.02842248945807417 [ Info: [33] train-mlogloss:0.02829318891589840 [ Info: [34] train-mlogloss:0.02806871190667153 [ Info: [35] train-mlogloss:0.02795307976504167 [ Info: [36] train-mlogloss:0.02774192417661349 [ Info: [37] train-mlogloss:0.02763579325129589 [ Info: [38] train-mlogloss:0.02744248183444142 [ Info: [39] train-mlogloss:0.02726492026199897 [ Info: [40] train-mlogloss:0.02716828567907214 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57208842277526850 [ Info: [2] train-mlogloss:0.34745948433876039 [ Info: [3] train-mlogloss:0.22378440340360006 [ Info: [4] train-mlogloss:0.15391641249259314 [ Info: [5] train-mlogloss:0.11022159675757090 [ Info: [6] train-mlogloss:0.08441765492161114 [ Info: [7] train-mlogloss:0.06612448905905088 [ Info: [8] train-mlogloss:0.05498739846050740 [ Info: [9] train-mlogloss:0.04672108245392641 [ Info: [10] train-mlogloss:0.04185751105348269 [ Info: [11] train-mlogloss:0.03960522070527077 [ Info: [12] train-mlogloss:0.03791902481267850 [ Info: [13] train-mlogloss:0.03620637596895297 [ Info: [14] train-mlogloss:0.03512874500205120 [ Info: [15] train-mlogloss:0.03392485948900382 [ Info: [16] train-mlogloss:0.03293466016029318 [ Info: [17] train-mlogloss:0.03228403696169456 [ Info: [18] train-mlogloss:0.03145845600714286 [ Info: [19] train-mlogloss:0.03097573772072792 [ Info: [20] train-mlogloss:0.03030644325539470 [ Info: [21] train-mlogloss:0.02988934859633446 [ Info: [22] train-mlogloss:0.02952840418244402 [ Info: [23] train-mlogloss:0.02931113458548983 [ Info: [24] train-mlogloss:0.02898630049079657 [ Info: [25] train-mlogloss:0.02880834835891922 [ Info: [26] train-mlogloss:0.02851354346921046 [ Info: [27] train-mlogloss:0.02836516691992680 [ Info: [28] train-mlogloss:0.02809600376834472 [ Info: [29] train-mlogloss:0.02796883430952827 [ Info: [30] train-mlogloss:0.02771932608137528 [ Info: [31] train-mlogloss:0.02757330515732368 [ Info: [32] train-mlogloss:0.02744970162088672 [ Info: [33] train-mlogloss:0.02723680114994446 [ Info: [34] train-mlogloss:0.02710345180705190 [ Info: [35] train-mlogloss:0.02698833731313547 [ Info: [36] train-mlogloss:0.02678101391221086 [ Info: [37] train-mlogloss:0.02659837924564878 [ Info: [38] train-mlogloss:0.02649348989749948 [ Info: [39] train-mlogloss:0.02631055767958363 [ Info: [40] train-mlogloss:0.02620029311627150 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49589092135429380 [ Info: [2] train-mlogloss:0.28064468999703723 [ Info: [3] train-mlogloss:0.17225385824839273 [ Info: [4] train-mlogloss:0.11392221470673879 [ Info: [5] train-mlogloss:0.08228941733638445 [ Info: [6] train-mlogloss:0.06285228441158930 [ Info: [7] train-mlogloss:0.05133861914277077 [ Info: [8] train-mlogloss:0.04446221729119619 [ Info: [9] train-mlogloss:0.04181530745079120 [ Info: [10] train-mlogloss:0.03920408533265193 [ Info: [11] train-mlogloss:0.03775984977682432 [ Info: [12] train-mlogloss:0.03659267760813236 [ Info: [13] train-mlogloss:0.03474093834559123 [ Info: [14] train-mlogloss:0.03365106364091237 [ Info: [15] train-mlogloss:0.03239923010890682 [ Info: [16] train-mlogloss:0.03140168776114782 [ Info: [17] train-mlogloss:0.03066447045654059 [ Info: [18] train-mlogloss:0.02973777684072653 [ Info: [19] train-mlogloss:0.02924908489609758 [ Info: [20] train-mlogloss:0.02883503593504429 [ Info: [21] train-mlogloss:0.02845635262007514 [ Info: [22] train-mlogloss:0.02811591724554698 [ Info: [23] train-mlogloss:0.02790660072118044 [ Info: [24] train-mlogloss:0.02759206893543402 [ Info: [25] train-mlogloss:0.02733258338024219 [ Info: [26] train-mlogloss:0.02715596426899234 [ Info: [27] train-mlogloss:0.02691985180601478 [ Info: [28] train-mlogloss:0.02669823679452141 [ Info: [29] train-mlogloss:0.02650230549275875 [ Info: [30] train-mlogloss:0.02630961587652564 [ Info: [31] train-mlogloss:0.02615808698659142 [ Info: [32] train-mlogloss:0.02596708255509535 [ Info: [33] train-mlogloss:0.02579856655560434 [ Info: [34] train-mlogloss:0.02564866848600407 [ Info: [35] train-mlogloss:0.02553040006508430 [ Info: [36] train-mlogloss:0.02538950689447423 [ Info: [37] train-mlogloss:0.02526230954875549 [ Info: [38] train-mlogloss:0.02513401686524351 [ Info: [39] train-mlogloss:0.02502337414150437 [ Info: [40] train-mlogloss:0.02490842751848201 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97413552443186446 [ Info: [2] train-mlogloss:0.86688317855199182 [ Info: [3] train-mlogloss:0.77527084032694493 [ Info: [4] train-mlogloss:0.69626627127329510 [ Info: [5] train-mlogloss:0.62761980930964156 [ Info: [6] train-mlogloss:0.56761043310165404 [ Info: [7] train-mlogloss:0.51488890727361047 [ Info: [8] train-mlogloss:0.46822448492050173 [ Info: [9] train-mlogloss:0.42699123620986940 [ Info: [10] train-mlogloss:0.39018353104591369 [ Info: [11] train-mlogloss:0.35751341938972475 [ Info: [12] train-mlogloss:0.32819565097490949 [ Info: [13] train-mlogloss:0.30206292947133384 [ Info: [14] train-mlogloss:0.27858432730038962 [ Info: [15] train-mlogloss:0.25762557884057363 [ Info: [16] train-mlogloss:0.23847492853800456 [ Info: [17] train-mlogloss:0.22118032395839690 [ Info: [18] train-mlogloss:0.20491800864537557 [ Info: [19] train-mlogloss:0.19026887834072112 [ Info: [20] train-mlogloss:0.17705845892429350 [ Info: [21] train-mlogloss:0.16513324379920960 [ Info: [22] train-mlogloss:0.15435756891965866 [ Info: [23] train-mlogloss:0.14421556641658148 [ Info: [24] train-mlogloss:0.13531201799710590 [ Info: [25] train-mlogloss:0.12686781197786332 [ Info: [26] train-mlogloss:0.11975281089544296 [ Info: [27] train-mlogloss:0.11259596049785614 [ Info: [28] train-mlogloss:0.10661135435104370 [ Info: [29] train-mlogloss:0.10051598817110062 [ Info: [30] train-mlogloss:0.09548658281564712 [ Info: [31] train-mlogloss:0.09029265244801839 [ Info: [32] train-mlogloss:0.08563703551888466 [ Info: [33] train-mlogloss:0.08185242811838786 [ Info: [34] train-mlogloss:0.07795473650097846 [ Info: [35] train-mlogloss:0.07473148157199223 [ Info: [36] train-mlogloss:0.07145892401536305 [ Info: [37] train-mlogloss:0.06844995349645615 [ Info: [38] train-mlogloss:0.06577623551090558 [ Info: [39] train-mlogloss:0.06342179293433825 [ Info: [40] train-mlogloss:0.06110303396979968 [ Info: [41] train-mlogloss:0.05904518241683642 [ Info: [42] train-mlogloss:0.05718330442905426 [ Info: [43] train-mlogloss:0.05564537597199281 [ Info: [44] train-mlogloss:0.05419197320938110 [ Info: [45] train-mlogloss:0.05282838965455691 [ Info: [46] train-mlogloss:0.05153437803188960 [ Info: [47] train-mlogloss:0.05005417016645273 [ Info: [48] train-mlogloss:0.04888290469845136 [ Info: [49] train-mlogloss:0.04755847508708636 [ Info: [50] train-mlogloss:0.04649399998287360 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85898540576299032 [ Info: [2] train-mlogloss:0.68509469111760457 [ Info: [3] train-mlogloss:0.55604569196701048 [ Info: [4] train-mlogloss:0.45752897222836814 [ Info: [5] train-mlogloss:0.38047309915224709 [ Info: [6] train-mlogloss:0.31979853510856626 [ Info: [7] train-mlogloss:0.27115648408730825 [ Info: [8] train-mlogloss:0.23238915721575418 [ Info: [9] train-mlogloss:0.19920234262943268 [ Info: [10] train-mlogloss:0.17232782403628030 [ Info: [11] train-mlogloss:0.15046440889437993 [ Info: [12] train-mlogloss:0.13158280968666078 [ Info: [13] train-mlogloss:0.11683072179555892 [ Info: [14] train-mlogloss:0.10354349782069525 [ Info: [15] train-mlogloss:0.09320894593993823 [ Info: [16] train-mlogloss:0.08374405359228453 [ Info: [17] train-mlogloss:0.07632628356417021 [ Info: [18] train-mlogloss:0.07035387307405472 [ Info: [19] train-mlogloss:0.06453112185001374 [ Info: [20] train-mlogloss:0.05985325542589029 [ Info: [21] train-mlogloss:0.05585860572755337 [ Info: [22] train-mlogloss:0.05295530356466770 [ Info: [23] train-mlogloss:0.05041366947193941 [ Info: [24] train-mlogloss:0.04823400840163231 [ Info: [25] train-mlogloss:0.04613091652592023 [ Info: [26] train-mlogloss:0.04435084640979767 [ Info: [27] train-mlogloss:0.04323887525747220 [ Info: [28] train-mlogloss:0.04221493365863959 [ Info: [29] train-mlogloss:0.04135293448964755 [ Info: [30] train-mlogloss:0.04057895901302497 [ Info: [31] train-mlogloss:0.03987344540655613 [ Info: [32] train-mlogloss:0.03915016664812962 [ Info: [33] train-mlogloss:0.03871565443774064 [ Info: [34] train-mlogloss:0.03804392545173566 [ Info: [35] train-mlogloss:0.03762431878596544 [ Info: [36] train-mlogloss:0.03703841578215360 [ Info: [37] train-mlogloss:0.03663308029373487 [ Info: [38] train-mlogloss:0.03626647185534239 [ Info: [39] train-mlogloss:0.03572338572392861 [ Info: [40] train-mlogloss:0.03536634594202041 [ Info: [41] train-mlogloss:0.03502809591591358 [ Info: [42] train-mlogloss:0.03469899198661248 [ Info: [43] train-mlogloss:0.03422372806196412 [ Info: [44] train-mlogloss:0.03390244239941240 [ Info: [45] train-mlogloss:0.03360112149889270 [ Info: [46] train-mlogloss:0.03330444928258657 [ Info: [47] train-mlogloss:0.03288662788768609 [ Info: [48] train-mlogloss:0.03259645244106650 [ Info: [49] train-mlogloss:0.03232717884083589 [ Info: [50] train-mlogloss:0.03205871387695273 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.75351350863774613 [ Info: [2] train-mlogloss:0.54328525861104326 [ Info: [3] train-mlogloss:0.40579761664072672 [ Info: [4] train-mlogloss:0.31068715016047160 [ Info: [5] train-mlogloss:0.24392614106337229 [ Info: [6] train-mlogloss:0.19294214665889739 [ Info: [7] train-mlogloss:0.15590452174345651 [ Info: [8] train-mlogloss:0.12723159611225129 [ Info: [9] train-mlogloss:0.10647594153881074 [ Info: [10] train-mlogloss:0.08950323368112247 [ Info: [11] train-mlogloss:0.07790681481361389 [ Info: [12] train-mlogloss:0.06768345460295677 [ Info: [13] train-mlogloss:0.06053363449871540 [ Info: [14] train-mlogloss:0.05437083117663860 [ Info: [15] train-mlogloss:0.05000538113216559 [ Info: [16] train-mlogloss:0.04663832152883212 [ Info: [17] train-mlogloss:0.04382487294574579 [ Info: [18] train-mlogloss:0.04236552740136782 [ Info: [19] train-mlogloss:0.04097524099051952 [ Info: [20] train-mlogloss:0.03982878846426805 [ Info: [21] train-mlogloss:0.03845760945230722 [ Info: [22] train-mlogloss:0.03750633675605058 [ Info: [23] train-mlogloss:0.03689250407119592 [ Info: [24] train-mlogloss:0.03630743201822043 [ Info: [25] train-mlogloss:0.03548321173836787 [ Info: [26] train-mlogloss:0.03492237200339635 [ Info: [27] train-mlogloss:0.03441382728517055 [ Info: [28] train-mlogloss:0.03391775542249282 [ Info: [29] train-mlogloss:0.03324633471667766 [ Info: [30] train-mlogloss:0.03276816291113695 [ Info: [31] train-mlogloss:0.03234131109590332 [ Info: [32] train-mlogloss:0.03191651886949937 [ Info: [33] train-mlogloss:0.03136365848282973 [ Info: [34] train-mlogloss:0.03095267817378044 [ Info: [35] train-mlogloss:0.03058511816586057 [ Info: [36] train-mlogloss:0.03030986207847794 [ Info: [37] train-mlogloss:0.03004627891505758 [ Info: [38] train-mlogloss:0.02979240285232663 [ Info: [39] train-mlogloss:0.02955878501137098 [ Info: [40] train-mlogloss:0.02933935344840089 [ Info: [41] train-mlogloss:0.02912806675458948 [ Info: [42] train-mlogloss:0.02892506369079153 [ Info: [43] train-mlogloss:0.02880315846453110 [ Info: [44] train-mlogloss:0.02869006636242072 [ Info: [45] train-mlogloss:0.02849502750361959 [ Info: [46] train-mlogloss:0.02837969429170092 [ Info: [47] train-mlogloss:0.02820271105815967 [ Info: [48] train-mlogloss:0.02809601459031304 [ Info: [49] train-mlogloss:0.02792811791722973 [ Info: [50] train-mlogloss:0.02783752849946419 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.65788962443669641 [ Info: [2] train-mlogloss:0.43303150931994122 [ Info: [3] train-mlogloss:0.30105252861976622 [ Info: [4] train-mlogloss:0.21910450458526612 [ Info: [5] train-mlogloss:0.16259648819764455 [ Info: [6] train-mlogloss:0.12360071907440821 [ Info: [7] train-mlogloss:0.09772800783316295 [ Info: [8] train-mlogloss:0.08021043961246808 [ Info: [9] train-mlogloss:0.06669927100340525 [ Info: [10] train-mlogloss:0.05775564784804980 [ Info: [11] train-mlogloss:0.05152114319304625 [ Info: [12] train-mlogloss:0.04504490862290064 [ Info: [13] train-mlogloss:0.04152016469587883 [ Info: [14] train-mlogloss:0.03970572493970394 [ Info: [15] train-mlogloss:0.03831805764387052 [ Info: [16] train-mlogloss:0.03617411474386851 [ Info: [17] train-mlogloss:0.03533735627929369 [ Info: [18] train-mlogloss:0.03457676382114490 [ Info: [19] train-mlogloss:0.03387781526893377 [ Info: [20] train-mlogloss:0.03289205112804969 [ Info: [21] train-mlogloss:0.03222642347216606 [ Info: [22] train-mlogloss:0.03167654799918334 [ Info: [23] train-mlogloss:0.03092972946663698 [ Info: [24] train-mlogloss:0.03054502185434103 [ Info: [25] train-mlogloss:0.03018961007396380 [ Info: [26] train-mlogloss:0.02984988606845339 [ Info: [27] train-mlogloss:0.02953378268207113 [ Info: [28] train-mlogloss:0.02925112853447596 [ Info: [29] train-mlogloss:0.02907419479762514 [ Info: [30] train-mlogloss:0.02881398100405931 [ Info: [31] train-mlogloss:0.02866360389317076 [ Info: [32] train-mlogloss:0.02842248945807417 [ Info: [33] train-mlogloss:0.02829318891589840 [ Info: [34] train-mlogloss:0.02806871190667153 [ Info: [35] train-mlogloss:0.02795307976504167 [ Info: [36] train-mlogloss:0.02774192417661349 [ Info: [37] train-mlogloss:0.02763579325129589 [ Info: [38] train-mlogloss:0.02744248183444142 [ Info: [39] train-mlogloss:0.02726492026199897 [ Info: [40] train-mlogloss:0.02716828567907214 [ Info: [41] train-mlogloss:0.02708168253302574 [ Info: [42] train-mlogloss:0.02691232655818264 [ Info: [43] train-mlogloss:0.02681749702741702 [ Info: [44] train-mlogloss:0.02665656238173445 [ Info: [45] train-mlogloss:0.02657491312672694 [ Info: [46] train-mlogloss:0.02642295537516475 [ Info: [47] train-mlogloss:0.02635025140518944 [ Info: [48] train-mlogloss:0.02620013639951746 [ Info: [49] train-mlogloss:0.02611957265064120 [ Info: [50] train-mlogloss:0.02604765789583325 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.57208842277526850 [ Info: [2] train-mlogloss:0.34745948433876039 [ Info: [3] train-mlogloss:0.22378440340360006 [ Info: [4] train-mlogloss:0.15391641249259314 [ Info: [5] train-mlogloss:0.11022159675757090 [ Info: [6] train-mlogloss:0.08441765492161114 [ Info: [7] train-mlogloss:0.06612448905905088 [ Info: [8] train-mlogloss:0.05498739846050740 [ Info: [9] train-mlogloss:0.04672108245392641 [ Info: [10] train-mlogloss:0.04185751105348269 [ Info: [11] train-mlogloss:0.03960522070527077 [ Info: [12] train-mlogloss:0.03791902481267850 [ Info: [13] train-mlogloss:0.03620637596895297 [ Info: [14] train-mlogloss:0.03512874500205120 [ Info: [15] train-mlogloss:0.03392485948900382 [ Info: [16] train-mlogloss:0.03293466016029318 [ Info: [17] train-mlogloss:0.03228403696169456 [ Info: [18] train-mlogloss:0.03145845600714286 [ Info: [19] train-mlogloss:0.03097573772072792 [ Info: [20] train-mlogloss:0.03030644325539470 [ Info: [21] train-mlogloss:0.02988934859633446 [ Info: [22] train-mlogloss:0.02952840418244402 [ Info: [23] train-mlogloss:0.02931113458548983 [ Info: [24] train-mlogloss:0.02898630049079657 [ Info: [25] train-mlogloss:0.02880834835891922 [ Info: [26] train-mlogloss:0.02851354346921046 [ Info: [27] train-mlogloss:0.02836516691992680 [ Info: [28] train-mlogloss:0.02809600376834472 [ Info: [29] train-mlogloss:0.02796883430952827 [ Info: [30] train-mlogloss:0.02771932608137528 [ Info: [31] train-mlogloss:0.02757330515732368 [ Info: [32] train-mlogloss:0.02744970162088672 [ Info: [33] train-mlogloss:0.02723680114994446 [ Info: [34] train-mlogloss:0.02710345180705190 [ Info: [35] train-mlogloss:0.02698833731313547 [ Info: [36] train-mlogloss:0.02678101391221086 [ Info: [37] train-mlogloss:0.02659837924564878 [ Info: [38] train-mlogloss:0.02649348989749948 [ Info: [39] train-mlogloss:0.02631055767958363 [ Info: [40] train-mlogloss:0.02620029311627150 [ Info: [41] train-mlogloss:0.02610150858138998 [ Info: [42] train-mlogloss:0.02593830415979028 [ Info: [43] train-mlogloss:0.02583118522539735 [ Info: [44] train-mlogloss:0.02574921084567905 [ Info: [45] train-mlogloss:0.02559667376801372 [ Info: [46] train-mlogloss:0.02549077437569698 [ Info: [47] train-mlogloss:0.02541770484298468 [ Info: [48] train-mlogloss:0.02526577497522036 [ Info: [49] train-mlogloss:0.02518026507770022 [ Info: [50] train-mlogloss:0.02510713644946615 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.49589092135429380 [ Info: [2] train-mlogloss:0.28064468999703723 [ Info: [3] train-mlogloss:0.17225385824839273 [ Info: [4] train-mlogloss:0.11392221470673879 [ Info: [5] train-mlogloss:0.08228941733638445 [ Info: [6] train-mlogloss:0.06285228441158930 [ Info: [7] train-mlogloss:0.05133861914277077 [ Info: [8] train-mlogloss:0.04446221729119619 [ Info: [9] train-mlogloss:0.04181530745079120 [ Info: [10] train-mlogloss:0.03920408533265193 [ Info: [11] train-mlogloss:0.03775984977682432 [ Info: [12] train-mlogloss:0.03659267760813236 [ Info: [13] train-mlogloss:0.03474093834559123 [ Info: [14] train-mlogloss:0.03365106364091237 [ Info: [15] train-mlogloss:0.03239923010890682 [ Info: [16] train-mlogloss:0.03140168776114782 [ Info: [17] train-mlogloss:0.03066447045654059 [ Info: [18] train-mlogloss:0.02973777684072653 [ Info: [19] train-mlogloss:0.02924908489609758 [ Info: [20] train-mlogloss:0.02883503593504429 [ Info: [21] train-mlogloss:0.02845635262007514 [ Info: [22] train-mlogloss:0.02811591724554698 [ Info: [23] train-mlogloss:0.02790660072118044 [ Info: [24] train-mlogloss:0.02759206893543402 [ Info: [25] train-mlogloss:0.02733258338024219 [ Info: [26] train-mlogloss:0.02715596426899234 [ Info: [27] train-mlogloss:0.02691985180601478 [ Info: [28] train-mlogloss:0.02669823679452141 [ Info: [29] train-mlogloss:0.02650230549275875 [ Info: [30] train-mlogloss:0.02630961587652564 [ Info: [31] train-mlogloss:0.02615808698659142 [ Info: [32] train-mlogloss:0.02596708255509535 [ Info: [33] train-mlogloss:0.02579856655560434 [ Info: [34] train-mlogloss:0.02564866848600407 [ Info: [35] train-mlogloss:0.02553040006508430 [ Info: [36] train-mlogloss:0.02538950689447423 [ Info: [37] train-mlogloss:0.02526230954875549 [ Info: [38] train-mlogloss:0.02513401686524351 [ Info: [39] train-mlogloss:0.02502337414150437 [ Info: [40] train-mlogloss:0.02490842751848201 [ Info: [41] train-mlogloss:0.02479878814890981 [ Info: [42] train-mlogloss:0.02468696861217419 [ Info: [43] train-mlogloss:0.02458149693285425 [ Info: [44] train-mlogloss:0.02449493749998510 [ Info: [45] train-mlogloss:0.02438683534661929 [ Info: [46] train-mlogloss:0.02429682835315665 [ Info: [47] train-mlogloss:0.02420823212402562 [ Info: [48] train-mlogloss:0.02411932925072809 [ Info: [49] train-mlogloss:0.02402373334082464 [ Info: [50] train-mlogloss:0.02394879306356112 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97173404216766357 [ Info: [2] train-mlogloss:0.86411790847778325 [ Info: [3] train-mlogloss:0.77172786871592203 [ Info: [4] train-mlogloss:0.68994723558425908 [ Info: [5] train-mlogloss:0.61897967815399169 [ Info: [6] train-mlogloss:0.55701466162999469 [ Info: [7] train-mlogloss:0.50263166586558028 [ Info: [8] train-mlogloss:0.45469873547554018 [ Info: [9] train-mlogloss:0.41228833476702370 [ Info: [10] train-mlogloss:0.37464501420656843 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85417276859283442 [ Info: [2] train-mlogloss:0.67901966730753582 [ Info: [3] train-mlogloss:0.54509330908457443 [ Info: [4] train-mlogloss:0.44315152287483217 [ Info: [5] train-mlogloss:0.36402992963790892 [ Info: [6] train-mlogloss:0.30171569387118019 [ Info: [7] train-mlogloss:0.25209649682044982 [ Info: [8] train-mlogloss:0.21230478624502819 [ Info: [9] train-mlogloss:0.18014992157618204 [ Info: [10] train-mlogloss:0.15463078041871389 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74628190755844115 [ Info: [2] train-mlogloss:0.52959660768508909 [ Info: [3] train-mlogloss:0.38838738958040875 [ Info: [4] train-mlogloss:0.29176532944043476 [ Info: [5] train-mlogloss:0.22340998133023579 [ Info: [6] train-mlogloss:0.17430920938650768 [ Info: [7] train-mlogloss:0.13927324344714484 [ Info: [8] train-mlogloss:0.11332076559464137 [ Info: [9] train-mlogloss:0.09381545384724935 [ Info: [10] train-mlogloss:0.07889816155036290 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64823201258977259 [ Info: [2] train-mlogloss:0.41585190892219542 [ Info: [3] train-mlogloss:0.28107182502746580 [ Info: [4] train-mlogloss:0.19715166827042899 [ Info: [5] train-mlogloss:0.14411674489577611 [ Info: [6] train-mlogloss:0.10894985924164455 [ Info: [7] train-mlogloss:0.08501050382852554 [ Info: [8] train-mlogloss:0.06813533777991930 [ Info: [9] train-mlogloss:0.05603019252419471 [ Info: [10] train-mlogloss:0.04737433359026909 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55999648809432978 [ Info: [2] train-mlogloss:0.32722288211186729 [ Info: [3] train-mlogloss:0.20590306242307027 [ Info: [4] train-mlogloss:0.13661258776982627 [ Info: [5] train-mlogloss:0.09648857673009237 [ Info: [6] train-mlogloss:0.07157085920373599 [ Info: [7] train-mlogloss:0.05557453398903211 [ Info: [8] train-mlogloss:0.04478159070014954 [ Info: [9] train-mlogloss:0.03710131051639716 [ Info: [10] train-mlogloss:0.03250823035836220 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48135399540265400 [ Info: [2] train-mlogloss:0.25816395759582522 [ Info: [3] train-mlogloss:0.15264279723167420 [ Info: [4] train-mlogloss:0.09835046172142028 [ Info: [5] train-mlogloss:0.06832751770814260 [ Info: [6] train-mlogloss:0.05060544408857823 [ Info: [7] train-mlogloss:0.03930750491718451 [ Info: [8] train-mlogloss:0.03201830978194872 [ Info: [9] train-mlogloss:0.02992031044016282 [ Info: [10] train-mlogloss:0.02746599757423003 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97173404216766357 [ Info: [2] train-mlogloss:0.86411790847778325 [ Info: [3] train-mlogloss:0.77172786871592203 [ Info: [4] train-mlogloss:0.68994723558425908 [ Info: [5] train-mlogloss:0.61897967815399169 [ Info: [6] train-mlogloss:0.55701466162999469 [ Info: [7] train-mlogloss:0.50263166586558028 [ Info: [8] train-mlogloss:0.45469873547554018 [ Info: [9] train-mlogloss:0.41228833476702370 [ Info: [10] train-mlogloss:0.37464501420656843 [ Info: [11] train-mlogloss:0.34113429228464764 [ Info: [12] train-mlogloss:0.31123558561007181 [ Info: [13] train-mlogloss:0.28450309514999389 [ Info: [14] train-mlogloss:0.26055754184722901 [ Info: [15] train-mlogloss:0.23907312572002412 [ Info: [16] train-mlogloss:0.21976719439029693 [ Info: [17] train-mlogloss:0.20239539980888366 [ Info: [18] train-mlogloss:0.18674382547537485 [ Info: [19] train-mlogloss:0.17294528603553772 [ Info: [20] train-mlogloss:0.16048025449117026 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85417276859283442 [ Info: [2] train-mlogloss:0.67901966730753582 [ Info: [3] train-mlogloss:0.54509330908457443 [ Info: [4] train-mlogloss:0.44315152287483217 [ Info: [5] train-mlogloss:0.36402992963790892 [ Info: [6] train-mlogloss:0.30171569387118019 [ Info: [7] train-mlogloss:0.25209649682044982 [ Info: [8] train-mlogloss:0.21230478624502819 [ Info: [9] train-mlogloss:0.18014992157618204 [ Info: [10] train-mlogloss:0.15463078041871389 [ Info: [11] train-mlogloss:0.13379941125710806 [ Info: [12] train-mlogloss:0.11668898363908133 [ Info: [13] train-mlogloss:0.10253391822179159 [ Info: [14] train-mlogloss:0.09079405049482982 [ Info: [15] train-mlogloss:0.08087969263394673 [ Info: [16] train-mlogloss:0.07255802358190219 [ Info: [17] train-mlogloss:0.06553984984755516 [ Info: [18] train-mlogloss:0.05949308668573697 [ Info: [19] train-mlogloss:0.05444925487041474 [ Info: [20] train-mlogloss:0.05009018018841743 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74628190755844115 [ Info: [2] train-mlogloss:0.52959660768508909 [ Info: [3] train-mlogloss:0.38838738958040875 [ Info: [4] train-mlogloss:0.29176532944043476 [ Info: [5] train-mlogloss:0.22340998133023579 [ Info: [6] train-mlogloss:0.17430920938650768 [ Info: [7] train-mlogloss:0.13927324344714484 [ Info: [8] train-mlogloss:0.11332076559464137 [ Info: [9] train-mlogloss:0.09381545384724935 [ Info: [10] train-mlogloss:0.07889816155036290 [ Info: [11] train-mlogloss:0.06721184998750687 [ Info: [12] train-mlogloss:0.05810777495304743 [ Info: [13] train-mlogloss:0.05115522913634777 [ Info: [14] train-mlogloss:0.04549934898813566 [ Info: [15] train-mlogloss:0.04083759645620982 [ Info: [16] train-mlogloss:0.03743972661594550 [ Info: [17] train-mlogloss:0.03457084491848945 [ Info: [18] train-mlogloss:0.03294385438164076 [ Info: [19] train-mlogloss:0.03199989625563224 [ Info: [20] train-mlogloss:0.03115179219593604 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64823201258977259 [ Info: [2] train-mlogloss:0.41585190892219542 [ Info: [3] train-mlogloss:0.28107182502746580 [ Info: [4] train-mlogloss:0.19715166827042899 [ Info: [5] train-mlogloss:0.14411674489577611 [ Info: [6] train-mlogloss:0.10894985924164455 [ Info: [7] train-mlogloss:0.08501050382852554 [ Info: [8] train-mlogloss:0.06813533777991930 [ Info: [9] train-mlogloss:0.05603019252419471 [ Info: [10] train-mlogloss:0.04737433359026909 [ Info: [11] train-mlogloss:0.04081759544710318 [ Info: [12] train-mlogloss:0.03566569887101650 [ Info: [13] train-mlogloss:0.03225904952734709 [ Info: [14] train-mlogloss:0.03097515465070804 [ Info: [15] train-mlogloss:0.02993238446613153 [ Info: [16] train-mlogloss:0.02896424086143573 [ Info: [17] train-mlogloss:0.02812844168394804 [ Info: [18] train-mlogloss:0.02740232635289431 [ Info: [19] train-mlogloss:0.02674830285211404 [ Info: [20] train-mlogloss:0.02623598789175351 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55999648809432978 [ Info: [2] train-mlogloss:0.32722288211186729 [ Info: [3] train-mlogloss:0.20590306242307027 [ Info: [4] train-mlogloss:0.13661258776982627 [ Info: [5] train-mlogloss:0.09648857673009237 [ Info: [6] train-mlogloss:0.07157085920373599 [ Info: [7] train-mlogloss:0.05557453398903211 [ Info: [8] train-mlogloss:0.04478159070014954 [ Info: [9] train-mlogloss:0.03710131051639716 [ Info: [10] train-mlogloss:0.03250823035836220 [ Info: [11] train-mlogloss:0.02992585143695275 [ Info: [12] train-mlogloss:0.02806581942985455 [ Info: [13] train-mlogloss:0.02699658337980509 [ Info: [14] train-mlogloss:0.02611313529312611 [ Info: [15] train-mlogloss:0.02529412201295296 [ Info: [16] train-mlogloss:0.02469697946061691 [ Info: [17] train-mlogloss:0.02417481955140829 [ Info: [18] train-mlogloss:0.02365986626595259 [ Info: [19] train-mlogloss:0.02327829894299309 [ Info: [20] train-mlogloss:0.02294723190367222 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48135399540265400 [ Info: [2] train-mlogloss:0.25816395759582522 [ Info: [3] train-mlogloss:0.15264279723167420 [ Info: [4] train-mlogloss:0.09835046172142028 [ Info: [5] train-mlogloss:0.06832751770814260 [ Info: [6] train-mlogloss:0.05060544408857823 [ Info: [7] train-mlogloss:0.03930750491718451 [ Info: [8] train-mlogloss:0.03201830978194872 [ Info: [9] train-mlogloss:0.02992031044016282 [ Info: [10] train-mlogloss:0.02746599757423003 [ Info: [11] train-mlogloss:0.02620806682854891 [ Info: [12] train-mlogloss:0.02519131779670715 [ Info: [13] train-mlogloss:0.02433476787060499 [ Info: [14] train-mlogloss:0.02363489713519812 [ Info: [15] train-mlogloss:0.02304165083914995 [ Info: [16] train-mlogloss:0.02275219273443023 [ Info: [17] train-mlogloss:0.02244318161159754 [ Info: [18] train-mlogloss:0.02221631128961841 [ Info: [19] train-mlogloss:0.02195808825393518 [ Info: [20] train-mlogloss:0.02177002860854069 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97173404216766357 [ Info: [2] train-mlogloss:0.86411790847778325 [ Info: [3] train-mlogloss:0.77172786871592203 [ Info: [4] train-mlogloss:0.68994723558425908 [ Info: [5] train-mlogloss:0.61897967815399169 [ Info: [6] train-mlogloss:0.55701466162999469 [ Info: [7] train-mlogloss:0.50263166586558028 [ Info: [8] train-mlogloss:0.45469873547554018 [ Info: [9] train-mlogloss:0.41228833476702370 [ Info: [10] train-mlogloss:0.37464501420656843 [ Info: [11] train-mlogloss:0.34113429228464764 [ Info: [12] train-mlogloss:0.31123558561007181 [ Info: [13] train-mlogloss:0.28450309514999389 [ Info: [14] train-mlogloss:0.26055754184722901 [ Info: [15] train-mlogloss:0.23907312572002412 [ Info: [16] train-mlogloss:0.21976719439029693 [ Info: [17] train-mlogloss:0.20239539980888366 [ Info: [18] train-mlogloss:0.18674382547537485 [ Info: [19] train-mlogloss:0.17294528603553772 [ Info: [20] train-mlogloss:0.16048025449117026 [ Info: [21] train-mlogloss:0.14920073856910071 [ Info: [22] train-mlogloss:0.13898697684208552 [ Info: [23] train-mlogloss:0.12972024808327356 [ Info: [24] train-mlogloss:0.12129812022050222 [ Info: [25] train-mlogloss:0.11363111952940623 [ Info: [26] train-mlogloss:0.10663177470366160 [ Info: [27] train-mlogloss:0.10022746851046881 [ Info: [28] train-mlogloss:0.09435658415158589 [ Info: [29] train-mlogloss:0.08898235271374384 [ Info: [30] train-mlogloss:0.08406616727511088 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85417276859283442 [ Info: [2] train-mlogloss:0.67901966730753582 [ Info: [3] train-mlogloss:0.54509330908457443 [ Info: [4] train-mlogloss:0.44315152287483217 [ Info: [5] train-mlogloss:0.36402992963790892 [ Info: [6] train-mlogloss:0.30171569387118019 [ Info: [7] train-mlogloss:0.25209649682044982 [ Info: [8] train-mlogloss:0.21230478624502819 [ Info: [9] train-mlogloss:0.18014992157618204 [ Info: [10] train-mlogloss:0.15463078041871389 [ Info: [11] train-mlogloss:0.13379941125710806 [ Info: [12] train-mlogloss:0.11668898363908133 [ Info: [13] train-mlogloss:0.10253391822179159 [ Info: [14] train-mlogloss:0.09079405049482982 [ Info: [15] train-mlogloss:0.08087969263394673 [ Info: [16] train-mlogloss:0.07255802358190219 [ Info: [17] train-mlogloss:0.06553984984755516 [ Info: [18] train-mlogloss:0.05949308668573697 [ Info: [19] train-mlogloss:0.05444925487041474 [ Info: [20] train-mlogloss:0.05009018018841743 [ Info: [21] train-mlogloss:0.04629136609534423 [ Info: [22] train-mlogloss:0.04295642296473185 [ Info: [23] train-mlogloss:0.04003223766883214 [ Info: [24] train-mlogloss:0.03742803682883580 [ Info: [25] train-mlogloss:0.03540648080408573 [ Info: [26] train-mlogloss:0.03378586765378713 [ Info: [27] train-mlogloss:0.03271538121004899 [ Info: [28] train-mlogloss:0.03207075602064530 [ Info: [29] train-mlogloss:0.03118524389962355 [ Info: [30] train-mlogloss:0.03063172575086355 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74628190755844115 [ Info: [2] train-mlogloss:0.52959660768508909 [ Info: [3] train-mlogloss:0.38838738958040875 [ Info: [4] train-mlogloss:0.29176532944043476 [ Info: [5] train-mlogloss:0.22340998133023579 [ Info: [6] train-mlogloss:0.17430920938650768 [ Info: [7] train-mlogloss:0.13927324344714484 [ Info: [8] train-mlogloss:0.11332076559464137 [ Info: [9] train-mlogloss:0.09381545384724935 [ Info: [10] train-mlogloss:0.07889816155036290 [ Info: [11] train-mlogloss:0.06721184998750687 [ Info: [12] train-mlogloss:0.05810777495304743 [ Info: [13] train-mlogloss:0.05115522913634777 [ Info: [14] train-mlogloss:0.04549934898813566 [ Info: [15] train-mlogloss:0.04083759645620982 [ Info: [16] train-mlogloss:0.03743972661594550 [ Info: [17] train-mlogloss:0.03457084491848945 [ Info: [18] train-mlogloss:0.03294385438164076 [ Info: [19] train-mlogloss:0.03199989625563224 [ Info: [20] train-mlogloss:0.03115179219593604 [ Info: [21] train-mlogloss:0.03000727143138647 [ Info: [22] train-mlogloss:0.02932076496382554 [ Info: [23] train-mlogloss:0.02869728305687507 [ Info: [24] train-mlogloss:0.02810947430630525 [ Info: [25] train-mlogloss:0.02757957609991233 [ Info: [26] train-mlogloss:0.02709982970108589 [ Info: [27] train-mlogloss:0.02664071278025707 [ Info: [28] train-mlogloss:0.02628131943444411 [ Info: [29] train-mlogloss:0.02594544626772404 [ Info: [30] train-mlogloss:0.02561293317625920 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64823201258977259 [ Info: [2] train-mlogloss:0.41585190892219542 [ Info: [3] train-mlogloss:0.28107182502746580 [ Info: [4] train-mlogloss:0.19715166827042899 [ Info: [5] train-mlogloss:0.14411674489577611 [ Info: [6] train-mlogloss:0.10894985924164455 [ Info: [7] train-mlogloss:0.08501050382852554 [ Info: [8] train-mlogloss:0.06813533777991930 [ Info: [9] train-mlogloss:0.05603019252419471 [ Info: [10] train-mlogloss:0.04737433359026909 [ Info: [11] train-mlogloss:0.04081759544710318 [ Info: [12] train-mlogloss:0.03566569887101650 [ Info: [13] train-mlogloss:0.03225904952734709 [ Info: [14] train-mlogloss:0.03097515465070804 [ Info: [15] train-mlogloss:0.02993238446613153 [ Info: [16] train-mlogloss:0.02896424086143573 [ Info: [17] train-mlogloss:0.02812844168394804 [ Info: [18] train-mlogloss:0.02740232635289431 [ Info: [19] train-mlogloss:0.02674830285211404 [ Info: [20] train-mlogloss:0.02623598789175351 [ Info: [21] train-mlogloss:0.02578508983055751 [ Info: [22] train-mlogloss:0.02535395797342062 [ Info: [23] train-mlogloss:0.02495501268034180 [ Info: [24] train-mlogloss:0.02460806897530953 [ Info: [25] train-mlogloss:0.02423787478978435 [ Info: [26] train-mlogloss:0.02403731261069576 [ Info: [27] train-mlogloss:0.02386669751877586 [ Info: [28] train-mlogloss:0.02368676283707221 [ Info: [29] train-mlogloss:0.02353929822643598 [ Info: [30] train-mlogloss:0.02337800079956651 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55999648809432978 [ Info: [2] train-mlogloss:0.32722288211186729 [ Info: [3] train-mlogloss:0.20590306242307027 [ Info: [4] train-mlogloss:0.13661258776982627 [ Info: [5] train-mlogloss:0.09648857673009237 [ Info: [6] train-mlogloss:0.07157085920373599 [ Info: [7] train-mlogloss:0.05557453398903211 [ Info: [8] train-mlogloss:0.04478159070014954 [ Info: [9] train-mlogloss:0.03710131051639716 [ Info: [10] train-mlogloss:0.03250823035836220 [ Info: [11] train-mlogloss:0.02992585143695275 [ Info: [12] train-mlogloss:0.02806581942985455 [ Info: [13] train-mlogloss:0.02699658337980509 [ Info: [14] train-mlogloss:0.02611313529312611 [ Info: [15] train-mlogloss:0.02529412201295296 [ Info: [16] train-mlogloss:0.02469697946061691 [ Info: [17] train-mlogloss:0.02417481955140829 [ Info: [18] train-mlogloss:0.02365986626595259 [ Info: [19] train-mlogloss:0.02327829894299309 [ Info: [20] train-mlogloss:0.02294723190367222 [ Info: [21] train-mlogloss:0.02274523984019955 [ Info: [22] train-mlogloss:0.02254187656566501 [ Info: [23] train-mlogloss:0.02236281188825766 [ Info: [24] train-mlogloss:0.02219232842326164 [ Info: [25] train-mlogloss:0.02203403267388543 [ Info: [26] train-mlogloss:0.02188680840035280 [ Info: [27] train-mlogloss:0.02174708489328623 [ Info: [28] train-mlogloss:0.02161754540478190 [ Info: [29] train-mlogloss:0.02149406056230267 [ Info: [30] train-mlogloss:0.02137861380974452 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48135399540265400 [ Info: [2] train-mlogloss:0.25816395759582522 [ Info: [3] train-mlogloss:0.15264279723167420 [ Info: [4] train-mlogloss:0.09835046172142028 [ Info: [5] train-mlogloss:0.06832751770814260 [ Info: [6] train-mlogloss:0.05060544408857823 [ Info: [7] train-mlogloss:0.03930750491718451 [ Info: [8] train-mlogloss:0.03201830978194872 [ Info: [9] train-mlogloss:0.02992031044016282 [ Info: [10] train-mlogloss:0.02746599757423003 [ Info: [11] train-mlogloss:0.02620806682854891 [ Info: [12] train-mlogloss:0.02519131779670715 [ Info: [13] train-mlogloss:0.02433476787060499 [ Info: [14] train-mlogloss:0.02363489713519812 [ Info: [15] train-mlogloss:0.02304165083914995 [ Info: [16] train-mlogloss:0.02275219273443023 [ Info: [17] train-mlogloss:0.02244318161159754 [ Info: [18] train-mlogloss:0.02221631128961841 [ Info: [19] train-mlogloss:0.02195808825393518 [ Info: [20] train-mlogloss:0.02177002860854069 [ Info: [21] train-mlogloss:0.02155378549049298 [ Info: [22] train-mlogloss:0.02139280668770274 [ Info: [23] train-mlogloss:0.02121088343982895 [ Info: [24] train-mlogloss:0.02107041871796052 [ Info: [25] train-mlogloss:0.02091631817320982 [ Info: [26] train-mlogloss:0.02079221078505119 [ Info: [27] train-mlogloss:0.02066060530642668 [ Info: [28] train-mlogloss:0.02055009663105011 [ Info: [29] train-mlogloss:0.02043669089054068 [ Info: [30] train-mlogloss:0.02033764973903696 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97173404216766357 [ Info: [2] train-mlogloss:0.86411790847778325 [ Info: [3] train-mlogloss:0.77172786871592203 [ Info: [4] train-mlogloss:0.68994723558425908 [ Info: [5] train-mlogloss:0.61897967815399169 [ Info: [6] train-mlogloss:0.55701466162999469 [ Info: [7] train-mlogloss:0.50263166586558028 [ Info: [8] train-mlogloss:0.45469873547554018 [ Info: [9] train-mlogloss:0.41228833476702370 [ Info: [10] train-mlogloss:0.37464501420656843 [ Info: [11] train-mlogloss:0.34113429228464764 [ Info: [12] train-mlogloss:0.31123558561007181 [ Info: [13] train-mlogloss:0.28450309514999389 [ Info: [14] train-mlogloss:0.26055754184722901 [ Info: [15] train-mlogloss:0.23907312572002412 [ Info: [16] train-mlogloss:0.21976719439029693 [ Info: [17] train-mlogloss:0.20239539980888366 [ Info: [18] train-mlogloss:0.18674382547537485 [ Info: [19] train-mlogloss:0.17294528603553772 [ Info: [20] train-mlogloss:0.16048025449117026 [ Info: [21] train-mlogloss:0.14920073856910071 [ Info: [22] train-mlogloss:0.13898697684208552 [ Info: [23] train-mlogloss:0.12972024808327356 [ Info: [24] train-mlogloss:0.12129812022050222 [ Info: [25] train-mlogloss:0.11363111952940623 [ Info: [26] train-mlogloss:0.10663177470366160 [ Info: [27] train-mlogloss:0.10022746851046881 [ Info: [28] train-mlogloss:0.09435658415158589 [ Info: [29] train-mlogloss:0.08898235271374384 [ Info: [30] train-mlogloss:0.08406616727511088 [ Info: [31] train-mlogloss:0.07954241534074148 [ Info: [32] train-mlogloss:0.07538751607139905 [ Info: [33] train-mlogloss:0.07157574966549873 [ Info: [34] train-mlogloss:0.06805975581208865 [ Info: [35] train-mlogloss:0.06479576592644055 [ Info: [36] train-mlogloss:0.06176614363988241 [ Info: [37] train-mlogloss:0.05907425274451573 [ Info: [38] train-mlogloss:0.05656326860189438 [ Info: [39] train-mlogloss:0.05422746223707994 [ Info: [40] train-mlogloss:0.05204824844996134 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85417276859283442 [ Info: [2] train-mlogloss:0.67901966730753582 [ Info: [3] train-mlogloss:0.54509330908457443 [ Info: [4] train-mlogloss:0.44315152287483217 [ Info: [5] train-mlogloss:0.36402992963790892 [ Info: [6] train-mlogloss:0.30171569387118019 [ Info: [7] train-mlogloss:0.25209649682044982 [ Info: [8] train-mlogloss:0.21230478624502819 [ Info: [9] train-mlogloss:0.18014992157618204 [ Info: [10] train-mlogloss:0.15463078041871389 [ Info: [11] train-mlogloss:0.13379941125710806 [ Info: [12] train-mlogloss:0.11668898363908133 [ Info: [13] train-mlogloss:0.10253391822179159 [ Info: [14] train-mlogloss:0.09079405049482982 [ Info: [15] train-mlogloss:0.08087969263394673 [ Info: [16] train-mlogloss:0.07255802358190219 [ Info: [17] train-mlogloss:0.06553984984755516 [ Info: [18] train-mlogloss:0.05949308668573697 [ Info: [19] train-mlogloss:0.05444925487041474 [ Info: [20] train-mlogloss:0.05009018018841743 [ Info: [21] train-mlogloss:0.04629136609534423 [ Info: [22] train-mlogloss:0.04295642296473185 [ Info: [23] train-mlogloss:0.04003223766883214 [ Info: [24] train-mlogloss:0.03742803682883580 [ Info: [25] train-mlogloss:0.03540648080408573 [ Info: [26] train-mlogloss:0.03378586765378713 [ Info: [27] train-mlogloss:0.03271538121004899 [ Info: [28] train-mlogloss:0.03207075602064530 [ Info: [29] train-mlogloss:0.03118524389962355 [ Info: [30] train-mlogloss:0.03063172575086355 [ Info: [31] train-mlogloss:0.03011643208563328 [ Info: [32] train-mlogloss:0.02962845861911774 [ Info: [33] train-mlogloss:0.02917446784675121 [ Info: [34] train-mlogloss:0.02875153553982576 [ Info: [35] train-mlogloss:0.02835120797157288 [ Info: [36] train-mlogloss:0.02796923380345106 [ Info: [37] train-mlogloss:0.02761249656478564 [ Info: [38] train-mlogloss:0.02727763834098975 [ Info: [39] train-mlogloss:0.02695123535891374 [ Info: [40] train-mlogloss:0.02664579709370931 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74628190755844115 [ Info: [2] train-mlogloss:0.52959660768508909 [ Info: [3] train-mlogloss:0.38838738958040875 [ Info: [4] train-mlogloss:0.29176532944043476 [ Info: [5] train-mlogloss:0.22340998133023579 [ Info: [6] train-mlogloss:0.17430920938650768 [ Info: [7] train-mlogloss:0.13927324344714484 [ Info: [8] train-mlogloss:0.11332076559464137 [ Info: [9] train-mlogloss:0.09381545384724935 [ Info: [10] train-mlogloss:0.07889816155036290 [ Info: [11] train-mlogloss:0.06721184998750687 [ Info: [12] train-mlogloss:0.05810777495304743 [ Info: [13] train-mlogloss:0.05115522913634777 [ Info: [14] train-mlogloss:0.04549934898813566 [ Info: [15] train-mlogloss:0.04083759645620982 [ Info: [16] train-mlogloss:0.03743972661594550 [ Info: [17] train-mlogloss:0.03457084491848945 [ Info: [18] train-mlogloss:0.03294385438164076 [ Info: [19] train-mlogloss:0.03199989625563224 [ Info: [20] train-mlogloss:0.03115179219593604 [ Info: [21] train-mlogloss:0.03000727143138647 [ Info: [22] train-mlogloss:0.02932076496382554 [ Info: [23] train-mlogloss:0.02869728305687507 [ Info: [24] train-mlogloss:0.02810947430630525 [ Info: [25] train-mlogloss:0.02757957609991233 [ Info: [26] train-mlogloss:0.02709982970108589 [ Info: [27] train-mlogloss:0.02664071278025707 [ Info: [28] train-mlogloss:0.02628131943444411 [ Info: [29] train-mlogloss:0.02594544626772404 [ Info: [30] train-mlogloss:0.02561293317625920 [ Info: [31] train-mlogloss:0.02531076395263274 [ Info: [32] train-mlogloss:0.02500970516353846 [ Info: [33] train-mlogloss:0.02472273064777255 [ Info: [34] train-mlogloss:0.02446112285678585 [ Info: [35] train-mlogloss:0.02419828619187077 [ Info: [36] train-mlogloss:0.02406169134502609 [ Info: [37] train-mlogloss:0.02392058714603384 [ Info: [38] train-mlogloss:0.02379371500263611 [ Info: [39] train-mlogloss:0.02366880939031641 [ Info: [40] train-mlogloss:0.02355099310477575 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64823201258977259 [ Info: [2] train-mlogloss:0.41585190892219542 [ Info: [3] train-mlogloss:0.28107182502746580 [ Info: [4] train-mlogloss:0.19715166827042899 [ Info: [5] train-mlogloss:0.14411674489577611 [ Info: [6] train-mlogloss:0.10894985924164455 [ Info: [7] train-mlogloss:0.08501050382852554 [ Info: [8] train-mlogloss:0.06813533777991930 [ Info: [9] train-mlogloss:0.05603019252419471 [ Info: [10] train-mlogloss:0.04737433359026909 [ Info: [11] train-mlogloss:0.04081759544710318 [ Info: [12] train-mlogloss:0.03566569887101650 [ Info: [13] train-mlogloss:0.03225904952734709 [ Info: [14] train-mlogloss:0.03097515465070804 [ Info: [15] train-mlogloss:0.02993238446613153 [ Info: [16] train-mlogloss:0.02896424086143573 [ Info: [17] train-mlogloss:0.02812844168394804 [ Info: [18] train-mlogloss:0.02740232635289431 [ Info: [19] train-mlogloss:0.02674830285211404 [ Info: [20] train-mlogloss:0.02623598789175351 [ Info: [21] train-mlogloss:0.02578508983055751 [ Info: [22] train-mlogloss:0.02535395797342062 [ Info: [23] train-mlogloss:0.02495501268034180 [ Info: [24] train-mlogloss:0.02460806897530953 [ Info: [25] train-mlogloss:0.02423787478978435 [ Info: [26] train-mlogloss:0.02403731261069576 [ Info: [27] train-mlogloss:0.02386669751877586 [ Info: [28] train-mlogloss:0.02368676283707221 [ Info: [29] train-mlogloss:0.02353929822643598 [ Info: [30] train-mlogloss:0.02337800079956651 [ Info: [31] train-mlogloss:0.02324770915632447 [ Info: [32] train-mlogloss:0.02310311617950598 [ Info: [33] train-mlogloss:0.02298625598351161 [ Info: [34] train-mlogloss:0.02285658464456598 [ Info: [35] train-mlogloss:0.02275058965509136 [ Info: [36] train-mlogloss:0.02263410182048877 [ Info: [37] train-mlogloss:0.02253719068442782 [ Info: [38] train-mlogloss:0.02243227408577999 [ Info: [39] train-mlogloss:0.02234317860876520 [ Info: [40] train-mlogloss:0.02224841194848219 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55999648809432978 [ Info: [2] train-mlogloss:0.32722288211186729 [ Info: [3] train-mlogloss:0.20590306242307027 [ Info: [4] train-mlogloss:0.13661258776982627 [ Info: [5] train-mlogloss:0.09648857673009237 [ Info: [6] train-mlogloss:0.07157085920373599 [ Info: [7] train-mlogloss:0.05557453398903211 [ Info: [8] train-mlogloss:0.04478159070014954 [ Info: [9] train-mlogloss:0.03710131051639716 [ Info: [10] train-mlogloss:0.03250823035836220 [ Info: [11] train-mlogloss:0.02992585143695275 [ Info: [12] train-mlogloss:0.02806581942985455 [ Info: [13] train-mlogloss:0.02699658337980509 [ Info: [14] train-mlogloss:0.02611313529312611 [ Info: [15] train-mlogloss:0.02529412201295296 [ Info: [16] train-mlogloss:0.02469697946061691 [ Info: [17] train-mlogloss:0.02417481955140829 [ Info: [18] train-mlogloss:0.02365986626595259 [ Info: [19] train-mlogloss:0.02327829894299309 [ Info: [20] train-mlogloss:0.02294723190367222 [ Info: [21] train-mlogloss:0.02274523984019955 [ Info: [22] train-mlogloss:0.02254187656566501 [ Info: [23] train-mlogloss:0.02236281188825766 [ Info: [24] train-mlogloss:0.02219232842326164 [ Info: [25] train-mlogloss:0.02203403267388543 [ Info: [26] train-mlogloss:0.02188680840035280 [ Info: [27] train-mlogloss:0.02174708489328623 [ Info: [28] train-mlogloss:0.02161754540478190 [ Info: [29] train-mlogloss:0.02149406056230267 [ Info: [30] train-mlogloss:0.02137861380974452 [ Info: [31] train-mlogloss:0.02126923935487866 [ Info: [32] train-mlogloss:0.02116543957342704 [ Info: [33] train-mlogloss:0.02106811668723822 [ Info: [34] train-mlogloss:0.02097424504657586 [ Info: [35] train-mlogloss:0.02088730591659745 [ Info: [36] train-mlogloss:0.02080192995568117 [ Info: [37] train-mlogloss:0.02072389785200357 [ Info: [38] train-mlogloss:0.02064598937829335 [ Info: [39] train-mlogloss:0.02057559664050738 [ Info: [40] train-mlogloss:0.02050423791011174 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48135399540265400 [ Info: [2] train-mlogloss:0.25816395759582522 [ Info: [3] train-mlogloss:0.15264279723167420 [ Info: [4] train-mlogloss:0.09835046172142028 [ Info: [5] train-mlogloss:0.06832751770814260 [ Info: [6] train-mlogloss:0.05060544408857823 [ Info: [7] train-mlogloss:0.03930750491718451 [ Info: [8] train-mlogloss:0.03201830978194872 [ Info: [9] train-mlogloss:0.02992031044016282 [ Info: [10] train-mlogloss:0.02746599757423003 [ Info: [11] train-mlogloss:0.02620806682854891 [ Info: [12] train-mlogloss:0.02519131779670715 [ Info: [13] train-mlogloss:0.02433476787060499 [ Info: [14] train-mlogloss:0.02363489713519812 [ Info: [15] train-mlogloss:0.02304165083914995 [ Info: [16] train-mlogloss:0.02275219273443023 [ Info: [17] train-mlogloss:0.02244318161159754 [ Info: [18] train-mlogloss:0.02221631128961841 [ Info: [19] train-mlogloss:0.02195808825393518 [ Info: [20] train-mlogloss:0.02177002860854069 [ Info: [21] train-mlogloss:0.02155378549049298 [ Info: [22] train-mlogloss:0.02139280668770274 [ Info: [23] train-mlogloss:0.02121088343982895 [ Info: [24] train-mlogloss:0.02107041871796052 [ Info: [25] train-mlogloss:0.02091631817320982 [ Info: [26] train-mlogloss:0.02079221078505119 [ Info: [27] train-mlogloss:0.02066060530642668 [ Info: [28] train-mlogloss:0.02055009663105011 [ Info: [29] train-mlogloss:0.02043669089054068 [ Info: [30] train-mlogloss:0.02033764973903696 [ Info: [31] train-mlogloss:0.02023909360170364 [ Info: [32] train-mlogloss:0.02014994148785869 [ Info: [33] train-mlogloss:0.02006358629403015 [ Info: [34] train-mlogloss:0.01998297001235187 [ Info: [35] train-mlogloss:0.01990672168942789 [ Info: [36] train-mlogloss:0.01983364457885424 [ Info: [37] train-mlogloss:0.01976580329239368 [ Info: [38] train-mlogloss:0.01969926882224778 [ Info: [39] train-mlogloss:0.01963856102898717 [ Info: [40] train-mlogloss:0.01957787866083284 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97173404216766357 [ Info: [2] train-mlogloss:0.86411790847778325 [ Info: [3] train-mlogloss:0.77172786871592203 [ Info: [4] train-mlogloss:0.68994723558425908 [ Info: [5] train-mlogloss:0.61897967815399169 [ Info: [6] train-mlogloss:0.55701466162999469 [ Info: [7] train-mlogloss:0.50263166586558028 [ Info: [8] train-mlogloss:0.45469873547554018 [ Info: [9] train-mlogloss:0.41228833476702370 [ Info: [10] train-mlogloss:0.37464501420656843 [ Info: [11] train-mlogloss:0.34113429228464764 [ Info: [12] train-mlogloss:0.31123558561007181 [ Info: [13] train-mlogloss:0.28450309514999389 [ Info: [14] train-mlogloss:0.26055754184722901 [ Info: [15] train-mlogloss:0.23907312572002412 [ Info: [16] train-mlogloss:0.21976719439029693 [ Info: [17] train-mlogloss:0.20239539980888366 [ Info: [18] train-mlogloss:0.18674382547537485 [ Info: [19] train-mlogloss:0.17294528603553772 [ Info: [20] train-mlogloss:0.16048025449117026 [ Info: [21] train-mlogloss:0.14920073856910071 [ Info: [22] train-mlogloss:0.13898697684208552 [ Info: [23] train-mlogloss:0.12972024808327356 [ Info: [24] train-mlogloss:0.12129812022050222 [ Info: [25] train-mlogloss:0.11363111952940623 [ Info: [26] train-mlogloss:0.10663177470366160 [ Info: [27] train-mlogloss:0.10022746851046881 [ Info: [28] train-mlogloss:0.09435658415158589 [ Info: [29] train-mlogloss:0.08898235271374384 [ Info: [30] train-mlogloss:0.08406616727511088 [ Info: [31] train-mlogloss:0.07954241534074148 [ Info: [32] train-mlogloss:0.07538751607139905 [ Info: [33] train-mlogloss:0.07157574966549873 [ Info: [34] train-mlogloss:0.06805975581208865 [ Info: [35] train-mlogloss:0.06479576592644055 [ Info: [36] train-mlogloss:0.06176614363988241 [ Info: [37] train-mlogloss:0.05907425274451573 [ Info: [38] train-mlogloss:0.05656326860189438 [ Info: [39] train-mlogloss:0.05422746223707994 [ Info: [40] train-mlogloss:0.05204824844996134 [ Info: [41] train-mlogloss:0.05001136623322964 [ Info: [42] train-mlogloss:0.04810977652668953 [ Info: [43] train-mlogloss:0.04632424563169479 [ Info: [44] train-mlogloss:0.04465316732724508 [ Info: [45] train-mlogloss:0.04308357864618301 [ Info: [46] train-mlogloss:0.04163437232375145 [ Info: [47] train-mlogloss:0.04023942117889722 [ Info: [48] train-mlogloss:0.03892257896562417 [ Info: [49] train-mlogloss:0.03783320501446724 [ Info: [50] train-mlogloss:0.03664923056960106 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85417276859283442 [ Info: [2] train-mlogloss:0.67901966730753582 [ Info: [3] train-mlogloss:0.54509330908457443 [ Info: [4] train-mlogloss:0.44315152287483217 [ Info: [5] train-mlogloss:0.36402992963790892 [ Info: [6] train-mlogloss:0.30171569387118019 [ Info: [7] train-mlogloss:0.25209649682044982 [ Info: [8] train-mlogloss:0.21230478624502819 [ Info: [9] train-mlogloss:0.18014992157618204 [ Info: [10] train-mlogloss:0.15463078041871389 [ Info: [11] train-mlogloss:0.13379941125710806 [ Info: [12] train-mlogloss:0.11668898363908133 [ Info: [13] train-mlogloss:0.10253391822179159 [ Info: [14] train-mlogloss:0.09079405049482982 [ Info: [15] train-mlogloss:0.08087969263394673 [ Info: [16] train-mlogloss:0.07255802358190219 [ Info: [17] train-mlogloss:0.06553984984755516 [ Info: [18] train-mlogloss:0.05949308668573697 [ Info: [19] train-mlogloss:0.05444925487041474 [ Info: [20] train-mlogloss:0.05009018018841743 [ Info: [21] train-mlogloss:0.04629136609534423 [ Info: [22] train-mlogloss:0.04295642296473185 [ Info: [23] train-mlogloss:0.04003223766883214 [ Info: [24] train-mlogloss:0.03742803682883580 [ Info: [25] train-mlogloss:0.03540648080408573 [ Info: [26] train-mlogloss:0.03378586765378713 [ Info: [27] train-mlogloss:0.03271538121004899 [ Info: [28] train-mlogloss:0.03207075602064530 [ Info: [29] train-mlogloss:0.03118524389962355 [ Info: [30] train-mlogloss:0.03063172575086355 [ Info: [31] train-mlogloss:0.03011643208563328 [ Info: [32] train-mlogloss:0.02962845861911774 [ Info: [33] train-mlogloss:0.02917446784675121 [ Info: [34] train-mlogloss:0.02875153553982576 [ Info: [35] train-mlogloss:0.02835120797157288 [ Info: [36] train-mlogloss:0.02796923380345106 [ Info: [37] train-mlogloss:0.02761249656478564 [ Info: [38] train-mlogloss:0.02727763834098975 [ Info: [39] train-mlogloss:0.02695123535891374 [ Info: [40] train-mlogloss:0.02664579709370931 [ Info: [41] train-mlogloss:0.02636465405424436 [ Info: [42] train-mlogloss:0.02612572024265925 [ Info: [43] train-mlogloss:0.02590125833948453 [ Info: [44] train-mlogloss:0.02568567660947641 [ Info: [45] train-mlogloss:0.02547228407114744 [ Info: [46] train-mlogloss:0.02526975829154253 [ Info: [47] train-mlogloss:0.02507934978852669 [ Info: [48] train-mlogloss:0.02489072363823652 [ Info: [49] train-mlogloss:0.02471455129484336 [ Info: [50] train-mlogloss:0.02454315681010485 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74628190755844115 [ Info: [2] train-mlogloss:0.52959660768508909 [ Info: [3] train-mlogloss:0.38838738958040875 [ Info: [4] train-mlogloss:0.29176532944043476 [ Info: [5] train-mlogloss:0.22340998133023579 [ Info: [6] train-mlogloss:0.17430920938650768 [ Info: [7] train-mlogloss:0.13927324344714484 [ Info: [8] train-mlogloss:0.11332076559464137 [ Info: [9] train-mlogloss:0.09381545384724935 [ Info: [10] train-mlogloss:0.07889816155036290 [ Info: [11] train-mlogloss:0.06721184998750687 [ Info: [12] train-mlogloss:0.05810777495304743 [ Info: [13] train-mlogloss:0.05115522913634777 [ Info: [14] train-mlogloss:0.04549934898813566 [ Info: [15] train-mlogloss:0.04083759645620982 [ Info: [16] train-mlogloss:0.03743972661594550 [ Info: [17] train-mlogloss:0.03457084491848945 [ Info: [18] train-mlogloss:0.03294385438164076 [ Info: [19] train-mlogloss:0.03199989625563224 [ Info: [20] train-mlogloss:0.03115179219593604 [ Info: [21] train-mlogloss:0.03000727143138647 [ Info: [22] train-mlogloss:0.02932076496382554 [ Info: [23] train-mlogloss:0.02869728305687507 [ Info: [24] train-mlogloss:0.02810947430630525 [ Info: [25] train-mlogloss:0.02757957609991233 [ Info: [26] train-mlogloss:0.02709982970108589 [ Info: [27] train-mlogloss:0.02664071278025707 [ Info: [28] train-mlogloss:0.02628131943444411 [ Info: [29] train-mlogloss:0.02594544626772404 [ Info: [30] train-mlogloss:0.02561293317625920 [ Info: [31] train-mlogloss:0.02531076395263274 [ Info: [32] train-mlogloss:0.02500970516353846 [ Info: [33] train-mlogloss:0.02472273064777255 [ Info: [34] train-mlogloss:0.02446112285678585 [ Info: [35] train-mlogloss:0.02419828619187077 [ Info: [36] train-mlogloss:0.02406169134502609 [ Info: [37] train-mlogloss:0.02392058714603384 [ Info: [38] train-mlogloss:0.02379371500263611 [ Info: [39] train-mlogloss:0.02366880939031641 [ Info: [40] train-mlogloss:0.02355099310477575 [ Info: [41] train-mlogloss:0.02343867750838399 [ Info: [42] train-mlogloss:0.02332937444249789 [ Info: [43] train-mlogloss:0.02322723686074217 [ Info: [44] train-mlogloss:0.02312583672503630 [ Info: [45] train-mlogloss:0.02303214821964502 [ Info: [46] train-mlogloss:0.02293813654532035 [ Info: [47] train-mlogloss:0.02285156238824129 [ Info: [48] train-mlogloss:0.02276439445714156 [ Info: [49] train-mlogloss:0.02268392367909352 [ Info: [50] train-mlogloss:0.02260301753878594 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64823201258977259 [ Info: [2] train-mlogloss:0.41585190892219542 [ Info: [3] train-mlogloss:0.28107182502746580 [ Info: [4] train-mlogloss:0.19715166827042899 [ Info: [5] train-mlogloss:0.14411674489577611 [ Info: [6] train-mlogloss:0.10894985924164455 [ Info: [7] train-mlogloss:0.08501050382852554 [ Info: [8] train-mlogloss:0.06813533777991930 [ Info: [9] train-mlogloss:0.05603019252419471 [ Info: [10] train-mlogloss:0.04737433359026909 [ Info: [11] train-mlogloss:0.04081759544710318 [ Info: [12] train-mlogloss:0.03566569887101650 [ Info: [13] train-mlogloss:0.03225904952734709 [ Info: [14] train-mlogloss:0.03097515465070804 [ Info: [15] train-mlogloss:0.02993238446613153 [ Info: [16] train-mlogloss:0.02896424086143573 [ Info: [17] train-mlogloss:0.02812844168394804 [ Info: [18] train-mlogloss:0.02740232635289431 [ Info: [19] train-mlogloss:0.02674830285211404 [ Info: [20] train-mlogloss:0.02623598789175351 [ Info: [21] train-mlogloss:0.02578508983055751 [ Info: [22] train-mlogloss:0.02535395797342062 [ Info: [23] train-mlogloss:0.02495501268034180 [ Info: [24] train-mlogloss:0.02460806897530953 [ Info: [25] train-mlogloss:0.02423787478978435 [ Info: [26] train-mlogloss:0.02403731261069576 [ Info: [27] train-mlogloss:0.02386669751877586 [ Info: [28] train-mlogloss:0.02368676283707221 [ Info: [29] train-mlogloss:0.02353929822643598 [ Info: [30] train-mlogloss:0.02337800079956651 [ Info: [31] train-mlogloss:0.02324770915632447 [ Info: [32] train-mlogloss:0.02310311617950598 [ Info: [33] train-mlogloss:0.02298625598351161 [ Info: [34] train-mlogloss:0.02285658464456598 [ Info: [35] train-mlogloss:0.02275058965509136 [ Info: [36] train-mlogloss:0.02263410182048877 [ Info: [37] train-mlogloss:0.02253719068442782 [ Info: [38] train-mlogloss:0.02243227408577999 [ Info: [39] train-mlogloss:0.02234317860876520 [ Info: [40] train-mlogloss:0.02224841194848219 [ Info: [41] train-mlogloss:0.02216611792022983 [ Info: [42] train-mlogloss:0.02208025855943561 [ Info: [43] train-mlogloss:0.02200396590555708 [ Info: [44] train-mlogloss:0.02192593637232979 [ Info: [45] train-mlogloss:0.02185503287240863 [ Info: [46] train-mlogloss:0.02178384279832244 [ Info: [47] train-mlogloss:0.02171777556650340 [ Info: [48] train-mlogloss:0.02165258551326891 [ Info: [49] train-mlogloss:0.02159093332166473 [ Info: [50] train-mlogloss:0.02153105939738452 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55999648809432978 [ Info: [2] train-mlogloss:0.32722288211186729 [ Info: [3] train-mlogloss:0.20590306242307027 [ Info: [4] train-mlogloss:0.13661258776982627 [ Info: [5] train-mlogloss:0.09648857673009237 [ Info: [6] train-mlogloss:0.07157085920373599 [ Info: [7] train-mlogloss:0.05557453398903211 [ Info: [8] train-mlogloss:0.04478159070014954 [ Info: [9] train-mlogloss:0.03710131051639716 [ Info: [10] train-mlogloss:0.03250823035836220 [ Info: [11] train-mlogloss:0.02992585143695275 [ Info: [12] train-mlogloss:0.02806581942985455 [ Info: [13] train-mlogloss:0.02699658337980509 [ Info: [14] train-mlogloss:0.02611313529312611 [ Info: [15] train-mlogloss:0.02529412201295296 [ Info: [16] train-mlogloss:0.02469697946061691 [ Info: [17] train-mlogloss:0.02417481955140829 [ Info: [18] train-mlogloss:0.02365986626595259 [ Info: [19] train-mlogloss:0.02327829894299309 [ Info: [20] train-mlogloss:0.02294723190367222 [ Info: [21] train-mlogloss:0.02274523984019955 [ Info: [22] train-mlogloss:0.02254187656566501 [ Info: [23] train-mlogloss:0.02236281188825766 [ Info: [24] train-mlogloss:0.02219232842326164 [ Info: [25] train-mlogloss:0.02203403267388543 [ Info: [26] train-mlogloss:0.02188680840035280 [ Info: [27] train-mlogloss:0.02174708489328623 [ Info: [28] train-mlogloss:0.02161754540478190 [ Info: [29] train-mlogloss:0.02149406056230267 [ Info: [30] train-mlogloss:0.02137861380974452 [ Info: [31] train-mlogloss:0.02126923935487866 [ Info: [32] train-mlogloss:0.02116543957342704 [ Info: [33] train-mlogloss:0.02106811668723822 [ Info: [34] train-mlogloss:0.02097424504657586 [ Info: [35] train-mlogloss:0.02088730591659745 [ Info: [36] train-mlogloss:0.02080192995568117 [ Info: [37] train-mlogloss:0.02072389785200357 [ Info: [38] train-mlogloss:0.02064598937829335 [ Info: [39] train-mlogloss:0.02057559664050738 [ Info: [40] train-mlogloss:0.02050423791011174 [ Info: [41] train-mlogloss:0.02044049057799081 [ Info: [42] train-mlogloss:0.02037492457156380 [ Info: [43] train-mlogloss:0.02031689327210188 [ Info: [44] train-mlogloss:0.02025651557371020 [ Info: [45] train-mlogloss:0.02020349153938393 [ Info: [46] train-mlogloss:0.02014776864709953 [ Info: [47] train-mlogloss:0.02009911504884561 [ Info: [48] train-mlogloss:0.02004754247143865 [ Info: [49] train-mlogloss:0.02000272451589505 [ Info: [50] train-mlogloss:0.01995493578103682 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48135399540265400 [ Info: [2] train-mlogloss:0.25816395759582522 [ Info: [3] train-mlogloss:0.15264279723167420 [ Info: [4] train-mlogloss:0.09835046172142028 [ Info: [5] train-mlogloss:0.06832751770814260 [ Info: [6] train-mlogloss:0.05060544408857823 [ Info: [7] train-mlogloss:0.03930750491718451 [ Info: [8] train-mlogloss:0.03201830978194872 [ Info: [9] train-mlogloss:0.02992031044016282 [ Info: [10] train-mlogloss:0.02746599757423003 [ Info: [11] train-mlogloss:0.02620806682854891 [ Info: [12] train-mlogloss:0.02519131779670715 [ Info: [13] train-mlogloss:0.02433476787060499 [ Info: [14] train-mlogloss:0.02363489713519812 [ Info: [15] train-mlogloss:0.02304165083914995 [ Info: [16] train-mlogloss:0.02275219273443023 [ Info: [17] train-mlogloss:0.02244318161159754 [ Info: [18] train-mlogloss:0.02221631128961841 [ Info: [19] train-mlogloss:0.02195808825393518 [ Info: [20] train-mlogloss:0.02177002860854069 [ Info: [21] train-mlogloss:0.02155378549049298 [ Info: [22] train-mlogloss:0.02139280668770274 [ Info: [23] train-mlogloss:0.02121088343982895 [ Info: [24] train-mlogloss:0.02107041871796052 [ Info: [25] train-mlogloss:0.02091631817320982 [ Info: [26] train-mlogloss:0.02079221078505119 [ Info: [27] train-mlogloss:0.02066060530642668 [ Info: [28] train-mlogloss:0.02055009663105011 [ Info: [29] train-mlogloss:0.02043669089054068 [ Info: [30] train-mlogloss:0.02033764973903696 [ Info: [31] train-mlogloss:0.02023909360170364 [ Info: [32] train-mlogloss:0.02014994148785869 [ Info: [33] train-mlogloss:0.02006358629403015 [ Info: [34] train-mlogloss:0.01998297001235187 [ Info: [35] train-mlogloss:0.01990672168942789 [ Info: [36] train-mlogloss:0.01983364457885424 [ Info: [37] train-mlogloss:0.01976580329239368 [ Info: [38] train-mlogloss:0.01969926882224778 [ Info: [39] train-mlogloss:0.01963856102898717 [ Info: [40] train-mlogloss:0.01957787866083284 [ Info: [41] train-mlogloss:0.01952317873016000 [ Info: [42] train-mlogloss:0.01946764118038118 [ Info: [43] train-mlogloss:0.01941810859367251 [ Info: [44] train-mlogloss:0.01936717794587215 [ Info: [45] train-mlogloss:0.01932208873021106 [ Info: [46] train-mlogloss:0.01927523781545460 [ Info: [47] train-mlogloss:0.01923400972659389 [ Info: [48] train-mlogloss:0.01919083560196062 [ Info: [49] train-mlogloss:0.01915299289549391 [ Info: [50] train-mlogloss:0.01911307951125006 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97109033187230431 [ Info: [2] train-mlogloss:0.86321131706237797 [ Info: [3] train-mlogloss:0.77082838773727413 [ Info: [4] train-mlogloss:0.69093254645665492 [ Info: [5] train-mlogloss:0.62132210731506343 [ Info: [6] train-mlogloss:0.56030731598536176 [ Info: [7] train-mlogloss:0.50656112313270574 [ Info: [8] train-mlogloss:0.45902044494946798 [ Info: [9] train-mlogloss:0.41681964914004010 [ Info: [10] train-mlogloss:0.37924431482950849 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85305107196172081 [ Info: [2] train-mlogloss:0.67807116667429601 [ Info: [3] train-mlogloss:0.54731674432754518 [ Info: [4] train-mlogloss:0.44693800012270607 [ Info: [5] train-mlogloss:0.36841995716094972 [ Info: [6] train-mlogloss:0.30616612195968629 [ Info: [7] train-mlogloss:0.25629003246625265 [ Info: [8] train-mlogloss:0.21597398877143859 [ Info: [9] train-mlogloss:0.18242569645245871 [ Info: [10] train-mlogloss:0.15519089500109354 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74485202074050905 [ Info: [2] train-mlogloss:0.53296173810958858 [ Info: [3] train-mlogloss:0.39304072340329488 [ Info: [4] train-mlogloss:0.29614355405171711 [ Info: [5] train-mlogloss:0.22702637354532879 [ Info: [6] train-mlogloss:0.17570874313513438 [ Info: [7] train-mlogloss:0.13831326067447663 [ Info: [8] train-mlogloss:0.11076099981864293 [ Info: [9] train-mlogloss:0.09024295836687088 [ Info: [10] train-mlogloss:0.07481177066763242 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64666403373082482 [ Info: [2] train-mlogloss:0.41960529367129007 [ Info: [3] train-mlogloss:0.28543571432431541 [ Info: [4] train-mlogloss:0.20073765218257905 [ Info: [5] train-mlogloss:0.14398553669452668 [ Info: [6] train-mlogloss:0.10655188818772633 [ Info: [7] train-mlogloss:0.08132327536741893 [ Info: [8] train-mlogloss:0.06402489602565765 [ Info: [9] train-mlogloss:0.05137172192335129 [ Info: [10] train-mlogloss:0.04263678446412086 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55845757246017458 [ Info: [2] train-mlogloss:0.33116710265477500 [ Info: [3] train-mlogloss:0.20975376625855763 [ Info: [4] train-mlogloss:0.13816061586141587 [ Info: [5] train-mlogloss:0.09561341245969136 [ Info: [6] train-mlogloss:0.06954161981741587 [ Info: [7] train-mlogloss:0.05244734952847163 [ Info: [8] train-mlogloss:0.04131820673743884 [ Info: [9] train-mlogloss:0.03454644076526165 [ Info: [10] train-mlogloss:0.03029965598136187 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48000490625699360 [ Info: [2] train-mlogloss:0.26217482010523480 [ Info: [3] train-mlogloss:0.15476774791876474 [ Info: [4] train-mlogloss:0.09831961731115978 [ Info: [5] train-mlogloss:0.06734657078981400 [ Info: [6] train-mlogloss:0.04821299756566683 [ Info: [7] train-mlogloss:0.03784282070895036 [ Info: [8] train-mlogloss:0.03215818139413992 [ Info: [9] train-mlogloss:0.02808762684464455 [ Info: [10] train-mlogloss:0.02747532284508149 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97109033187230431 [ Info: [2] train-mlogloss:0.86321131706237797 [ Info: [3] train-mlogloss:0.77082838773727413 [ Info: [4] train-mlogloss:0.69093254645665492 [ Info: [5] train-mlogloss:0.62132210731506343 [ Info: [6] train-mlogloss:0.56030731598536176 [ Info: [7] train-mlogloss:0.50656112313270574 [ Info: [8] train-mlogloss:0.45902044494946798 [ Info: [9] train-mlogloss:0.41681964914004010 [ Info: [10] train-mlogloss:0.37924431482950849 [ Info: [11] train-mlogloss:0.34569820086161296 [ Info: [12] train-mlogloss:0.31566959301630654 [ Info: [13] train-mlogloss:0.28873710672060648 [ Info: [14] train-mlogloss:0.26453837990760803 [ Info: [15] train-mlogloss:0.24275107622146608 [ Info: [16] train-mlogloss:0.22264100293318431 [ Info: [17] train-mlogloss:0.20455056071281433 [ Info: [18] train-mlogloss:0.18826145847638448 [ Info: [19] train-mlogloss:0.17357598165671032 [ Info: [20] train-mlogloss:0.16031799892584483 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85305107196172081 [ Info: [2] train-mlogloss:0.67807116667429601 [ Info: [3] train-mlogloss:0.54731674432754518 [ Info: [4] train-mlogloss:0.44693800012270607 [ Info: [5] train-mlogloss:0.36841995716094972 [ Info: [6] train-mlogloss:0.30616612195968629 [ Info: [7] train-mlogloss:0.25629003246625265 [ Info: [8] train-mlogloss:0.21597398877143859 [ Info: [9] train-mlogloss:0.18242569645245871 [ Info: [10] train-mlogloss:0.15519089500109354 [ Info: [11] train-mlogloss:0.13300583422183990 [ Info: [12] train-mlogloss:0.11483741025129954 [ Info: [13] train-mlogloss:0.09990845938523610 [ Info: [14] train-mlogloss:0.08756006062030793 [ Info: [15] train-mlogloss:0.07731853167215984 [ Info: [16] train-mlogloss:0.06878762056430181 [ Info: [17] train-mlogloss:0.06164994468291601 [ Info: [18] train-mlogloss:0.05528425902128219 [ Info: [19] train-mlogloss:0.05014618019262949 [ Info: [20] train-mlogloss:0.04576073368390401 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74485202074050905 [ Info: [2] train-mlogloss:0.53296173810958858 [ Info: [3] train-mlogloss:0.39304072340329488 [ Info: [4] train-mlogloss:0.29614355405171711 [ Info: [5] train-mlogloss:0.22702637354532879 [ Info: [6] train-mlogloss:0.17570874313513438 [ Info: [7] train-mlogloss:0.13831326067447663 [ Info: [8] train-mlogloss:0.11076099981864293 [ Info: [9] train-mlogloss:0.09024295836687088 [ Info: [10] train-mlogloss:0.07481177066763242 [ Info: [11] train-mlogloss:0.06309011802077294 [ Info: [12] train-mlogloss:0.05352058544754982 [ Info: [13] train-mlogloss:0.04639179964860280 [ Info: [14] train-mlogloss:0.04123241732517878 [ Info: [15] train-mlogloss:0.03672859922051429 [ Info: [16] train-mlogloss:0.03385622024536133 [ Info: [17] train-mlogloss:0.03151680693030357 [ Info: [18] train-mlogloss:0.03050491186479727 [ Info: [19] train-mlogloss:0.02960465300828219 [ Info: [20] train-mlogloss:0.02879049802819888 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64666403373082482 [ Info: [2] train-mlogloss:0.41960529367129007 [ Info: [3] train-mlogloss:0.28543571432431541 [ Info: [4] train-mlogloss:0.20073765218257905 [ Info: [5] train-mlogloss:0.14398553669452668 [ Info: [6] train-mlogloss:0.10655188818772633 [ Info: [7] train-mlogloss:0.08132327536741893 [ Info: [8] train-mlogloss:0.06402489602565765 [ Info: [9] train-mlogloss:0.05137172192335129 [ Info: [10] train-mlogloss:0.04263678446412086 [ Info: [11] train-mlogloss:0.03683167487382889 [ Info: [12] train-mlogloss:0.03301424523194631 [ Info: [13] train-mlogloss:0.03004357848316431 [ Info: [14] train-mlogloss:0.02882522722085317 [ Info: [15] train-mlogloss:0.02835242357105017 [ Info: [16] train-mlogloss:0.02798117866118749 [ Info: [17] train-mlogloss:0.02762812810639540 [ Info: [18] train-mlogloss:0.02732735607773066 [ Info: [19] train-mlogloss:0.02708529572933912 [ Info: [20] train-mlogloss:0.02681138149152200 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55845757246017458 [ Info: [2] train-mlogloss:0.33116710265477500 [ Info: [3] train-mlogloss:0.20975376625855763 [ Info: [4] train-mlogloss:0.13816061586141587 [ Info: [5] train-mlogloss:0.09561341245969136 [ Info: [6] train-mlogloss:0.06954161981741587 [ Info: [7] train-mlogloss:0.05244734952847163 [ Info: [8] train-mlogloss:0.04131820673743884 [ Info: [9] train-mlogloss:0.03454644076526165 [ Info: [10] train-mlogloss:0.03029965598136187 [ Info: [11] train-mlogloss:0.02864178703476985 [ Info: [12] train-mlogloss:0.02814111067603032 [ Info: [13] train-mlogloss:0.02775893114507198 [ Info: [14] train-mlogloss:0.02737576879560948 [ Info: [15] train-mlogloss:0.02705977727969488 [ Info: [16] train-mlogloss:0.02674267090857029 [ Info: [17] train-mlogloss:0.02647291476527850 [ Info: [18] train-mlogloss:0.02624479280163844 [ Info: [19] train-mlogloss:0.02598603768895070 [ Info: [20] train-mlogloss:0.02578152588258187 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48000490625699360 [ Info: [2] train-mlogloss:0.26217482010523480 [ Info: [3] train-mlogloss:0.15476774791876474 [ Info: [4] train-mlogloss:0.09831961731115978 [ Info: [5] train-mlogloss:0.06734657078981400 [ Info: [6] train-mlogloss:0.04821299756566683 [ Info: [7] train-mlogloss:0.03784282070895036 [ Info: [8] train-mlogloss:0.03215818139413992 [ Info: [9] train-mlogloss:0.02808762684464455 [ Info: [10] train-mlogloss:0.02747532284508149 [ Info: [11] train-mlogloss:0.02695109890153011 [ Info: [12] train-mlogloss:0.02649131789803505 [ Info: [13] train-mlogloss:0.02607881279041370 [ Info: [14] train-mlogloss:0.02575695272535086 [ Info: [15] train-mlogloss:0.02542173734555642 [ Info: [16] train-mlogloss:0.02517659248163303 [ Info: [17] train-mlogloss:0.02497135806828737 [ Info: [18] train-mlogloss:0.02481184183930357 [ Info: [19] train-mlogloss:0.02466471211363872 [ Info: [20] train-mlogloss:0.02453661779562632 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97109033187230431 [ Info: [2] train-mlogloss:0.86321131706237797 [ Info: [3] train-mlogloss:0.77082838773727413 [ Info: [4] train-mlogloss:0.69093254645665492 [ Info: [5] train-mlogloss:0.62132210731506343 [ Info: [6] train-mlogloss:0.56030731598536176 [ Info: [7] train-mlogloss:0.50656112313270574 [ Info: [8] train-mlogloss:0.45902044494946798 [ Info: [9] train-mlogloss:0.41681964914004010 [ Info: [10] train-mlogloss:0.37924431482950849 [ Info: [11] train-mlogloss:0.34569820086161296 [ Info: [12] train-mlogloss:0.31566959301630654 [ Info: [13] train-mlogloss:0.28873710672060648 [ Info: [14] train-mlogloss:0.26453837990760803 [ Info: [15] train-mlogloss:0.24275107622146608 [ Info: [16] train-mlogloss:0.22264100293318431 [ Info: [17] train-mlogloss:0.20455056071281433 [ Info: [18] train-mlogloss:0.18826145847638448 [ Info: [19] train-mlogloss:0.17357598165671032 [ Info: [20] train-mlogloss:0.16031799892584483 [ Info: [21] train-mlogloss:0.14833988706270854 [ Info: [22] train-mlogloss:0.13749877949555714 [ Info: [23] train-mlogloss:0.12768114825089771 [ Info: [24] train-mlogloss:0.11878127932548523 [ Info: [25] train-mlogloss:0.11070529599984487 [ Info: [26] train-mlogloss:0.10336954861879349 [ Info: [27] train-mlogloss:0.09669948011636734 [ Info: [28] train-mlogloss:0.09063124199708303 [ Info: [29] train-mlogloss:0.08509854376316070 [ Info: [30] train-mlogloss:0.08005240797996521 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85305107196172081 [ Info: [2] train-mlogloss:0.67807116667429601 [ Info: [3] train-mlogloss:0.54731674432754518 [ Info: [4] train-mlogloss:0.44693800012270607 [ Info: [5] train-mlogloss:0.36841995716094972 [ Info: [6] train-mlogloss:0.30616612195968629 [ Info: [7] train-mlogloss:0.25629003246625265 [ Info: [8] train-mlogloss:0.21597398877143859 [ Info: [9] train-mlogloss:0.18242569645245871 [ Info: [10] train-mlogloss:0.15519089500109354 [ Info: [11] train-mlogloss:0.13300583422183990 [ Info: [12] train-mlogloss:0.11483741025129954 [ Info: [13] train-mlogloss:0.09990845938523610 [ Info: [14] train-mlogloss:0.08756006062030793 [ Info: [15] train-mlogloss:0.07731853167215984 [ Info: [16] train-mlogloss:0.06878762056430181 [ Info: [17] train-mlogloss:0.06164994468291601 [ Info: [18] train-mlogloss:0.05528425902128219 [ Info: [19] train-mlogloss:0.05014618019262949 [ Info: [20] train-mlogloss:0.04576073368390401 [ Info: [21] train-mlogloss:0.04229012310504913 [ Info: [22] train-mlogloss:0.03904036241273085 [ Info: [23] train-mlogloss:0.03665394114951293 [ Info: [24] train-mlogloss:0.03439927016695341 [ Info: [25] train-mlogloss:0.03242332957684994 [ Info: [26] train-mlogloss:0.03097779333591461 [ Info: [27] train-mlogloss:0.03033112231642008 [ Info: [28] train-mlogloss:0.02972850703944763 [ Info: [29] train-mlogloss:0.02918088304499785 [ Info: [30] train-mlogloss:0.02877051437894503 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74485202074050905 [ Info: [2] train-mlogloss:0.53296173810958858 [ Info: [3] train-mlogloss:0.39304072340329488 [ Info: [4] train-mlogloss:0.29614355405171711 [ Info: [5] train-mlogloss:0.22702637354532879 [ Info: [6] train-mlogloss:0.17570874313513438 [ Info: [7] train-mlogloss:0.13831326067447663 [ Info: [8] train-mlogloss:0.11076099981864293 [ Info: [9] train-mlogloss:0.09024295836687088 [ Info: [10] train-mlogloss:0.07481177066763242 [ Info: [11] train-mlogloss:0.06309011802077294 [ Info: [12] train-mlogloss:0.05352058544754982 [ Info: [13] train-mlogloss:0.04639179964860280 [ Info: [14] train-mlogloss:0.04123241732517878 [ Info: [15] train-mlogloss:0.03672859922051429 [ Info: [16] train-mlogloss:0.03385622024536133 [ Info: [17] train-mlogloss:0.03151680693030357 [ Info: [18] train-mlogloss:0.03050491186479727 [ Info: [19] train-mlogloss:0.02960465300828219 [ Info: [20] train-mlogloss:0.02879049802819888 [ Info: [21] train-mlogloss:0.02846066046506166 [ Info: [22] train-mlogloss:0.02816432456175486 [ Info: [23] train-mlogloss:0.02791156843304634 [ Info: [24] train-mlogloss:0.02769463167836269 [ Info: [25] train-mlogloss:0.02749050216128429 [ Info: [26] train-mlogloss:0.02730215494831403 [ Info: [27] train-mlogloss:0.02711312416940927 [ Info: [28] train-mlogloss:0.02693900831043720 [ Info: [29] train-mlogloss:0.02677139858404795 [ Info: [30] train-mlogloss:0.02660773679614067 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64666403373082482 [ Info: [2] train-mlogloss:0.41960529367129007 [ Info: [3] train-mlogloss:0.28543571432431541 [ Info: [4] train-mlogloss:0.20073765218257905 [ Info: [5] train-mlogloss:0.14398553669452668 [ Info: [6] train-mlogloss:0.10655188818772633 [ Info: [7] train-mlogloss:0.08132327536741893 [ Info: [8] train-mlogloss:0.06402489602565765 [ Info: [9] train-mlogloss:0.05137172192335129 [ Info: [10] train-mlogloss:0.04263678446412086 [ Info: [11] train-mlogloss:0.03683167487382889 [ Info: [12] train-mlogloss:0.03301424523194631 [ Info: [13] train-mlogloss:0.03004357848316431 [ Info: [14] train-mlogloss:0.02882522722085317 [ Info: [15] train-mlogloss:0.02835242357105017 [ Info: [16] train-mlogloss:0.02798117866118749 [ Info: [17] train-mlogloss:0.02762812810639540 [ Info: [18] train-mlogloss:0.02732735607773066 [ Info: [19] train-mlogloss:0.02708529572933912 [ Info: [20] train-mlogloss:0.02681138149152200 [ Info: [21] train-mlogloss:0.02659739418576161 [ Info: [22] train-mlogloss:0.02635914660990238 [ Info: [23] train-mlogloss:0.02615412463744481 [ Info: [24] train-mlogloss:0.02596845132609208 [ Info: [25] train-mlogloss:0.02579938174535831 [ Info: [26] train-mlogloss:0.02563012940809131 [ Info: [27] train-mlogloss:0.02548655747746428 [ Info: [28] train-mlogloss:0.02535223637397091 [ Info: [29] train-mlogloss:0.02523919404794773 [ Info: [30] train-mlogloss:0.02514846409360568 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55845757246017458 [ Info: [2] train-mlogloss:0.33116710265477500 [ Info: [3] train-mlogloss:0.20975376625855763 [ Info: [4] train-mlogloss:0.13816061586141587 [ Info: [5] train-mlogloss:0.09561341245969136 [ Info: [6] train-mlogloss:0.06954161981741587 [ Info: [7] train-mlogloss:0.05244734952847163 [ Info: [8] train-mlogloss:0.04131820673743884 [ Info: [9] train-mlogloss:0.03454644076526165 [ Info: [10] train-mlogloss:0.03029965598136187 [ Info: [11] train-mlogloss:0.02864178703476985 [ Info: [12] train-mlogloss:0.02814111067603032 [ Info: [13] train-mlogloss:0.02775893114507198 [ Info: [14] train-mlogloss:0.02737576879560948 [ Info: [15] train-mlogloss:0.02705977727969488 [ Info: [16] train-mlogloss:0.02674267090857029 [ Info: [17] train-mlogloss:0.02647291476527850 [ Info: [18] train-mlogloss:0.02624479280163844 [ Info: [19] train-mlogloss:0.02598603768895070 [ Info: [20] train-mlogloss:0.02578152588258187 [ Info: [21] train-mlogloss:0.02561792682856321 [ Info: [22] train-mlogloss:0.02549329608678818 [ Info: [23] train-mlogloss:0.02534547238300244 [ Info: [24] train-mlogloss:0.02522840353349845 [ Info: [25] train-mlogloss:0.02512299963583549 [ Info: [26] train-mlogloss:0.02500458507488171 [ Info: [27] train-mlogloss:0.02490050554275513 [ Info: [28] train-mlogloss:0.02480813591430584 [ Info: [29] train-mlogloss:0.02470220220585664 [ Info: [30] train-mlogloss:0.02460818597426017 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48000490625699360 [ Info: [2] train-mlogloss:0.26217482010523480 [ Info: [3] train-mlogloss:0.15476774791876474 [ Info: [4] train-mlogloss:0.09831961731115978 [ Info: [5] train-mlogloss:0.06734657078981400 [ Info: [6] train-mlogloss:0.04821299756566683 [ Info: [7] train-mlogloss:0.03784282070895036 [ Info: [8] train-mlogloss:0.03215818139413992 [ Info: [9] train-mlogloss:0.02808762684464455 [ Info: [10] train-mlogloss:0.02747532284508149 [ Info: [11] train-mlogloss:0.02695109890153011 [ Info: [12] train-mlogloss:0.02649131789803505 [ Info: [13] train-mlogloss:0.02607881279041370 [ Info: [14] train-mlogloss:0.02575695272535086 [ Info: [15] train-mlogloss:0.02542173734555642 [ Info: [16] train-mlogloss:0.02517659248163303 [ Info: [17] train-mlogloss:0.02497135806828737 [ Info: [18] train-mlogloss:0.02481184183930357 [ Info: [19] train-mlogloss:0.02466471211363872 [ Info: [20] train-mlogloss:0.02453661779562632 [ Info: [21] train-mlogloss:0.02439559821039438 [ Info: [22] train-mlogloss:0.02427668703099092 [ Info: [23] train-mlogloss:0.02416416510939598 [ Info: [24] train-mlogloss:0.02404166715840499 [ Info: [25] train-mlogloss:0.02393660388266047 [ Info: [26] train-mlogloss:0.02383900798857212 [ Info: [27] train-mlogloss:0.02374738955870271 [ Info: [28] train-mlogloss:0.02367010309671362 [ Info: [29] train-mlogloss:0.02359533054754138 [ Info: [30] train-mlogloss:0.02352550055210789 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97109033187230431 [ Info: [2] train-mlogloss:0.86321131706237797 [ Info: [3] train-mlogloss:0.77082838773727413 [ Info: [4] train-mlogloss:0.69093254645665492 [ Info: [5] train-mlogloss:0.62132210731506343 [ Info: [6] train-mlogloss:0.56030731598536176 [ Info: [7] train-mlogloss:0.50656112313270574 [ Info: [8] train-mlogloss:0.45902044494946798 [ Info: [9] train-mlogloss:0.41681964914004010 [ Info: [10] train-mlogloss:0.37924431482950849 [ Info: [11] train-mlogloss:0.34569820086161296 [ Info: [12] train-mlogloss:0.31566959301630654 [ Info: [13] train-mlogloss:0.28873710672060648 [ Info: [14] train-mlogloss:0.26453837990760803 [ Info: [15] train-mlogloss:0.24275107622146608 [ Info: [16] train-mlogloss:0.22264100293318431 [ Info: [17] train-mlogloss:0.20455056071281433 [ Info: [18] train-mlogloss:0.18826145847638448 [ Info: [19] train-mlogloss:0.17357598165671032 [ Info: [20] train-mlogloss:0.16031799892584483 [ Info: [21] train-mlogloss:0.14833988706270854 [ Info: [22] train-mlogloss:0.13749877949555714 [ Info: [23] train-mlogloss:0.12768114825089771 [ Info: [24] train-mlogloss:0.11878127932548523 [ Info: [25] train-mlogloss:0.11070529599984487 [ Info: [26] train-mlogloss:0.10336954861879349 [ Info: [27] train-mlogloss:0.09669948011636734 [ Info: [28] train-mlogloss:0.09063124199708303 [ Info: [29] train-mlogloss:0.08509854376316070 [ Info: [30] train-mlogloss:0.08005240797996521 [ Info: [31] train-mlogloss:0.07544530570507049 [ Info: [32] train-mlogloss:0.07123441820343336 [ Info: [33] train-mlogloss:0.06738147531946501 [ Info: [34] train-mlogloss:0.06383067374428113 [ Info: [35] train-mlogloss:0.06056106666723887 [ Info: [36] train-mlogloss:0.05754105895757675 [ Info: [37] train-mlogloss:0.05475105558832487 [ Info: [38] train-mlogloss:0.05219471236069997 [ Info: [39] train-mlogloss:0.04982490882277488 [ Info: [40] train-mlogloss:0.04762884095311165 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85305107196172081 [ Info: [2] train-mlogloss:0.67807116667429601 [ Info: [3] train-mlogloss:0.54731674432754518 [ Info: [4] train-mlogloss:0.44693800012270607 [ Info: [5] train-mlogloss:0.36841995716094972 [ Info: [6] train-mlogloss:0.30616612195968629 [ Info: [7] train-mlogloss:0.25629003246625265 [ Info: [8] train-mlogloss:0.21597398877143859 [ Info: [9] train-mlogloss:0.18242569645245871 [ Info: [10] train-mlogloss:0.15519089500109354 [ Info: [11] train-mlogloss:0.13300583422183990 [ Info: [12] train-mlogloss:0.11483741025129954 [ Info: [13] train-mlogloss:0.09990845938523610 [ Info: [14] train-mlogloss:0.08756006062030793 [ Info: [15] train-mlogloss:0.07731853167215984 [ Info: [16] train-mlogloss:0.06878762056430181 [ Info: [17] train-mlogloss:0.06164994468291601 [ Info: [18] train-mlogloss:0.05528425902128219 [ Info: [19] train-mlogloss:0.05014618019262949 [ Info: [20] train-mlogloss:0.04576073368390401 [ Info: [21] train-mlogloss:0.04229012310504913 [ Info: [22] train-mlogloss:0.03904036241273085 [ Info: [23] train-mlogloss:0.03665394114951293 [ Info: [24] train-mlogloss:0.03439927016695341 [ Info: [25] train-mlogloss:0.03242332957684994 [ Info: [26] train-mlogloss:0.03097779333591461 [ Info: [27] train-mlogloss:0.03033112231642008 [ Info: [28] train-mlogloss:0.02972850703944763 [ Info: [29] train-mlogloss:0.02918088304499785 [ Info: [30] train-mlogloss:0.02877051437894503 [ Info: [31] train-mlogloss:0.02856690236677726 [ Info: [32] train-mlogloss:0.02838147227962812 [ Info: [33] train-mlogloss:0.02821071178962787 [ Info: [34] train-mlogloss:0.02805637261519829 [ Info: [35] train-mlogloss:0.02791646335273981 [ Info: [36] train-mlogloss:0.02777729636679093 [ Info: [37] train-mlogloss:0.02764612843592962 [ Info: [38] train-mlogloss:0.02751798083384832 [ Info: [39] train-mlogloss:0.02739321254193783 [ Info: [40] train-mlogloss:0.02727767332146565 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74485202074050905 [ Info: [2] train-mlogloss:0.53296173810958858 [ Info: [3] train-mlogloss:0.39304072340329488 [ Info: [4] train-mlogloss:0.29614355405171711 [ Info: [5] train-mlogloss:0.22702637354532879 [ Info: [6] train-mlogloss:0.17570874313513438 [ Info: [7] train-mlogloss:0.13831326067447663 [ Info: [8] train-mlogloss:0.11076099981864293 [ Info: [9] train-mlogloss:0.09024295836687088 [ Info: [10] train-mlogloss:0.07481177066763242 [ Info: [11] train-mlogloss:0.06309011802077294 [ Info: [12] train-mlogloss:0.05352058544754982 [ Info: [13] train-mlogloss:0.04639179964860280 [ Info: [14] train-mlogloss:0.04123241732517878 [ Info: [15] train-mlogloss:0.03672859922051429 [ Info: [16] train-mlogloss:0.03385622024536133 [ Info: [17] train-mlogloss:0.03151680693030357 [ Info: [18] train-mlogloss:0.03050491186479727 [ Info: [19] train-mlogloss:0.02960465300828219 [ Info: [20] train-mlogloss:0.02879049802819888 [ Info: [21] train-mlogloss:0.02846066046506166 [ Info: [22] train-mlogloss:0.02816432456175486 [ Info: [23] train-mlogloss:0.02791156843304634 [ Info: [24] train-mlogloss:0.02769463167836269 [ Info: [25] train-mlogloss:0.02749050216128429 [ Info: [26] train-mlogloss:0.02730215494831403 [ Info: [27] train-mlogloss:0.02711312416940927 [ Info: [28] train-mlogloss:0.02693900831043720 [ Info: [29] train-mlogloss:0.02677139858404795 [ Info: [30] train-mlogloss:0.02660773679614067 [ Info: [31] train-mlogloss:0.02646189437558254 [ Info: [32] train-mlogloss:0.02629525071630875 [ Info: [33] train-mlogloss:0.02615167080114285 [ Info: [34] train-mlogloss:0.02601790866504113 [ Info: [35] train-mlogloss:0.02589528981596231 [ Info: [36] train-mlogloss:0.02575842550645272 [ Info: [37] train-mlogloss:0.02564271277437608 [ Info: [38] train-mlogloss:0.02551737087468306 [ Info: [39] train-mlogloss:0.02540297018984954 [ Info: [40] train-mlogloss:0.02530067508419355 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64666403373082482 [ Info: [2] train-mlogloss:0.41960529367129007 [ Info: [3] train-mlogloss:0.28543571432431541 [ Info: [4] train-mlogloss:0.20073765218257905 [ Info: [5] train-mlogloss:0.14398553669452668 [ Info: [6] train-mlogloss:0.10655188818772633 [ Info: [7] train-mlogloss:0.08132327536741893 [ Info: [8] train-mlogloss:0.06402489602565765 [ Info: [9] train-mlogloss:0.05137172192335129 [ Info: [10] train-mlogloss:0.04263678446412086 [ Info: [11] train-mlogloss:0.03683167487382889 [ Info: [12] train-mlogloss:0.03301424523194631 [ Info: [13] train-mlogloss:0.03004357848316431 [ Info: [14] train-mlogloss:0.02882522722085317 [ Info: [15] train-mlogloss:0.02835242357105017 [ Info: [16] train-mlogloss:0.02798117866118749 [ Info: [17] train-mlogloss:0.02762812810639540 [ Info: [18] train-mlogloss:0.02732735607773066 [ Info: [19] train-mlogloss:0.02708529572933912 [ Info: [20] train-mlogloss:0.02681138149152200 [ Info: [21] train-mlogloss:0.02659739418576161 [ Info: [22] train-mlogloss:0.02635914660990238 [ Info: [23] train-mlogloss:0.02615412463744481 [ Info: [24] train-mlogloss:0.02596845132609208 [ Info: [25] train-mlogloss:0.02579938174535831 [ Info: [26] train-mlogloss:0.02563012940809131 [ Info: [27] train-mlogloss:0.02548655747746428 [ Info: [28] train-mlogloss:0.02535223637397091 [ Info: [29] train-mlogloss:0.02523919404794773 [ Info: [30] train-mlogloss:0.02514846409360568 [ Info: [31] train-mlogloss:0.02506106354917089 [ Info: [32] train-mlogloss:0.02496968974669775 [ Info: [33] train-mlogloss:0.02488702324529489 [ Info: [34] train-mlogloss:0.02480883912493785 [ Info: [35] train-mlogloss:0.02472511708115538 [ Info: [36] train-mlogloss:0.02464886218309402 [ Info: [37] train-mlogloss:0.02457820009440184 [ Info: [38] train-mlogloss:0.02450099863732854 [ Info: [39] train-mlogloss:0.02443070235351721 [ Info: [40] train-mlogloss:0.02436481208230058 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55845757246017458 [ Info: [2] train-mlogloss:0.33116710265477500 [ Info: [3] train-mlogloss:0.20975376625855763 [ Info: [4] train-mlogloss:0.13816061586141587 [ Info: [5] train-mlogloss:0.09561341245969136 [ Info: [6] train-mlogloss:0.06954161981741587 [ Info: [7] train-mlogloss:0.05244734952847163 [ Info: [8] train-mlogloss:0.04131820673743884 [ Info: [9] train-mlogloss:0.03454644076526165 [ Info: [10] train-mlogloss:0.03029965598136187 [ Info: [11] train-mlogloss:0.02864178703476985 [ Info: [12] train-mlogloss:0.02814111067603032 [ Info: [13] train-mlogloss:0.02775893114507198 [ Info: [14] train-mlogloss:0.02737576879560948 [ Info: [15] train-mlogloss:0.02705977727969488 [ Info: [16] train-mlogloss:0.02674267090857029 [ Info: [17] train-mlogloss:0.02647291476527850 [ Info: [18] train-mlogloss:0.02624479280163844 [ Info: [19] train-mlogloss:0.02598603768895070 [ Info: [20] train-mlogloss:0.02578152588258187 [ Info: [21] train-mlogloss:0.02561792682856321 [ Info: [22] train-mlogloss:0.02549329608678818 [ Info: [23] train-mlogloss:0.02534547238300244 [ Info: [24] train-mlogloss:0.02522840353349845 [ Info: [25] train-mlogloss:0.02512299963583549 [ Info: [26] train-mlogloss:0.02500458507488171 [ Info: [27] train-mlogloss:0.02490050554275513 [ Info: [28] train-mlogloss:0.02480813591430584 [ Info: [29] train-mlogloss:0.02470220220585664 [ Info: [30] train-mlogloss:0.02460818597426017 [ Info: [31] train-mlogloss:0.02452580576141675 [ Info: [32] train-mlogloss:0.02443007071812947 [ Info: [33] train-mlogloss:0.02434511589507262 [ Info: [34] train-mlogloss:0.02426885742694139 [ Info: [35] train-mlogloss:0.02418099202215672 [ Info: [36] train-mlogloss:0.02410331215709448 [ Info: [37] train-mlogloss:0.02403323967630664 [ Info: [38] train-mlogloss:0.02396000107750297 [ Info: [39] train-mlogloss:0.02390608685091138 [ Info: [40] train-mlogloss:0.02384797460089127 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48000490625699360 [ Info: [2] train-mlogloss:0.26217482010523480 [ Info: [3] train-mlogloss:0.15476774791876474 [ Info: [4] train-mlogloss:0.09831961731115978 [ Info: [5] train-mlogloss:0.06734657078981400 [ Info: [6] train-mlogloss:0.04821299756566683 [ Info: [7] train-mlogloss:0.03784282070895036 [ Info: [8] train-mlogloss:0.03215818139413992 [ Info: [9] train-mlogloss:0.02808762684464455 [ Info: [10] train-mlogloss:0.02747532284508149 [ Info: [11] train-mlogloss:0.02695109890153011 [ Info: [12] train-mlogloss:0.02649131789803505 [ Info: [13] train-mlogloss:0.02607881279041370 [ Info: [14] train-mlogloss:0.02575695272535086 [ Info: [15] train-mlogloss:0.02542173734555642 [ Info: [16] train-mlogloss:0.02517659248163303 [ Info: [17] train-mlogloss:0.02497135806828737 [ Info: [18] train-mlogloss:0.02481184183930357 [ Info: [19] train-mlogloss:0.02466471211363872 [ Info: [20] train-mlogloss:0.02453661779562632 [ Info: [21] train-mlogloss:0.02439559821039438 [ Info: [22] train-mlogloss:0.02427668703099092 [ Info: [23] train-mlogloss:0.02416416510939598 [ Info: [24] train-mlogloss:0.02404166715840499 [ Info: [25] train-mlogloss:0.02393660388266047 [ Info: [26] train-mlogloss:0.02383900798857212 [ Info: [27] train-mlogloss:0.02374738955870271 [ Info: [28] train-mlogloss:0.02367010309671362 [ Info: [29] train-mlogloss:0.02359533054754138 [ Info: [30] train-mlogloss:0.02352550055210789 [ Info: [31] train-mlogloss:0.02345787289862832 [ Info: [32] train-mlogloss:0.02338712592919668 [ Info: [33] train-mlogloss:0.02332722069695592 [ Info: [34] train-mlogloss:0.02325104590505362 [ Info: [35] train-mlogloss:0.02319337614501516 [ Info: [36] train-mlogloss:0.02312509835387270 [ Info: [37] train-mlogloss:0.02306998280187448 [ Info: [38] train-mlogloss:0.02300463939085603 [ Info: [39] train-mlogloss:0.02295145692303777 [ Info: [40] train-mlogloss:0.02289271460846067 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97109033187230431 [ Info: [2] train-mlogloss:0.86321131706237797 [ Info: [3] train-mlogloss:0.77082838773727413 [ Info: [4] train-mlogloss:0.69093254645665492 [ Info: [5] train-mlogloss:0.62132210731506343 [ Info: [6] train-mlogloss:0.56030731598536176 [ Info: [7] train-mlogloss:0.50656112313270574 [ Info: [8] train-mlogloss:0.45902044494946798 [ Info: [9] train-mlogloss:0.41681964914004010 [ Info: [10] train-mlogloss:0.37924431482950849 [ Info: [11] train-mlogloss:0.34569820086161296 [ Info: [12] train-mlogloss:0.31566959301630654 [ Info: [13] train-mlogloss:0.28873710672060648 [ Info: [14] train-mlogloss:0.26453837990760803 [ Info: [15] train-mlogloss:0.24275107622146608 [ Info: [16] train-mlogloss:0.22264100293318431 [ Info: [17] train-mlogloss:0.20455056071281433 [ Info: [18] train-mlogloss:0.18826145847638448 [ Info: [19] train-mlogloss:0.17357598165671032 [ Info: [20] train-mlogloss:0.16031799892584483 [ Info: [21] train-mlogloss:0.14833988706270854 [ Info: [22] train-mlogloss:0.13749877949555714 [ Info: [23] train-mlogloss:0.12768114825089771 [ Info: [24] train-mlogloss:0.11878127932548523 [ Info: [25] train-mlogloss:0.11070529599984487 [ Info: [26] train-mlogloss:0.10336954861879349 [ Info: [27] train-mlogloss:0.09669948011636734 [ Info: [28] train-mlogloss:0.09063124199708303 [ Info: [29] train-mlogloss:0.08509854376316070 [ Info: [30] train-mlogloss:0.08005240797996521 [ Info: [31] train-mlogloss:0.07544530570507049 [ Info: [32] train-mlogloss:0.07123441820343336 [ Info: [33] train-mlogloss:0.06738147531946501 [ Info: [34] train-mlogloss:0.06383067374428113 [ Info: [35] train-mlogloss:0.06056106666723887 [ Info: [36] train-mlogloss:0.05754105895757675 [ Info: [37] train-mlogloss:0.05475105558832487 [ Info: [38] train-mlogloss:0.05219471236069997 [ Info: [39] train-mlogloss:0.04982490882277488 [ Info: [40] train-mlogloss:0.04762884095311165 [ Info: [41] train-mlogloss:0.04573775554696719 [ Info: [42] train-mlogloss:0.04384686003128688 [ Info: [43] train-mlogloss:0.04224635814627012 [ Info: [44] train-mlogloss:0.04075934345523517 [ Info: [45] train-mlogloss:0.03947508749862512 [ Info: [46] train-mlogloss:0.03811258085072040 [ Info: [47] train-mlogloss:0.03688780389726162 [ Info: [48] train-mlogloss:0.03573472159604232 [ Info: [49] train-mlogloss:0.03466266453266144 [ Info: [50] train-mlogloss:0.03365148288508257 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.85305107196172081 [ Info: [2] train-mlogloss:0.67807116667429601 [ Info: [3] train-mlogloss:0.54731674432754518 [ Info: [4] train-mlogloss:0.44693800012270607 [ Info: [5] train-mlogloss:0.36841995716094972 [ Info: [6] train-mlogloss:0.30616612195968629 [ Info: [7] train-mlogloss:0.25629003246625265 [ Info: [8] train-mlogloss:0.21597398877143859 [ Info: [9] train-mlogloss:0.18242569645245871 [ Info: [10] train-mlogloss:0.15519089500109354 [ Info: [11] train-mlogloss:0.13300583422183990 [ Info: [12] train-mlogloss:0.11483741025129954 [ Info: [13] train-mlogloss:0.09990845938523610 [ Info: [14] train-mlogloss:0.08756006062030793 [ Info: [15] train-mlogloss:0.07731853167215984 [ Info: [16] train-mlogloss:0.06878762056430181 [ Info: [17] train-mlogloss:0.06164994468291601 [ Info: [18] train-mlogloss:0.05528425902128219 [ Info: [19] train-mlogloss:0.05014618019262949 [ Info: [20] train-mlogloss:0.04576073368390401 [ Info: [21] train-mlogloss:0.04229012310504913 [ Info: [22] train-mlogloss:0.03904036241273085 [ Info: [23] train-mlogloss:0.03665394114951293 [ Info: [24] train-mlogloss:0.03439927016695341 [ Info: [25] train-mlogloss:0.03242332957684994 [ Info: [26] train-mlogloss:0.03097779333591461 [ Info: [27] train-mlogloss:0.03033112231642008 [ Info: [28] train-mlogloss:0.02972850703944763 [ Info: [29] train-mlogloss:0.02918088304499785 [ Info: [30] train-mlogloss:0.02877051437894503 [ Info: [31] train-mlogloss:0.02856690236677726 [ Info: [32] train-mlogloss:0.02838147227962812 [ Info: [33] train-mlogloss:0.02821071178962787 [ Info: [34] train-mlogloss:0.02805637261519829 [ Info: [35] train-mlogloss:0.02791646335273981 [ Info: [36] train-mlogloss:0.02777729636679093 [ Info: [37] train-mlogloss:0.02764612843592962 [ Info: [38] train-mlogloss:0.02751798083384832 [ Info: [39] train-mlogloss:0.02739321254193783 [ Info: [40] train-mlogloss:0.02727767332146565 [ Info: [41] train-mlogloss:0.02715169114371141 [ Info: [42] train-mlogloss:0.02703879286845525 [ Info: [43] train-mlogloss:0.02693181055287520 [ Info: [44] train-mlogloss:0.02681696688135465 [ Info: [45] train-mlogloss:0.02671590524415175 [ Info: [46] train-mlogloss:0.02660799874613682 [ Info: [47] train-mlogloss:0.02650889748086532 [ Info: [48] train-mlogloss:0.02641471655418475 [ Info: [49] train-mlogloss:0.02631522446870804 [ Info: [50] train-mlogloss:0.02622592257956664 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.74485202074050905 [ Info: [2] train-mlogloss:0.53296173810958858 [ Info: [3] train-mlogloss:0.39304072340329488 [ Info: [4] train-mlogloss:0.29614355405171711 [ Info: [5] train-mlogloss:0.22702637354532879 [ Info: [6] train-mlogloss:0.17570874313513438 [ Info: [7] train-mlogloss:0.13831326067447663 [ Info: [8] train-mlogloss:0.11076099981864293 [ Info: [9] train-mlogloss:0.09024295836687088 [ Info: [10] train-mlogloss:0.07481177066763242 [ Info: [11] train-mlogloss:0.06309011802077294 [ Info: [12] train-mlogloss:0.05352058544754982 [ Info: [13] train-mlogloss:0.04639179964860280 [ Info: [14] train-mlogloss:0.04123241732517878 [ Info: [15] train-mlogloss:0.03672859922051429 [ Info: [16] train-mlogloss:0.03385622024536133 [ Info: [17] train-mlogloss:0.03151680693030357 [ Info: [18] train-mlogloss:0.03050491186479727 [ Info: [19] train-mlogloss:0.02960465300828219 [ Info: [20] train-mlogloss:0.02879049802819888 [ Info: [21] train-mlogloss:0.02846066046506166 [ Info: [22] train-mlogloss:0.02816432456175486 [ Info: [23] train-mlogloss:0.02791156843304634 [ Info: [24] train-mlogloss:0.02769463167836269 [ Info: [25] train-mlogloss:0.02749050216128429 [ Info: [26] train-mlogloss:0.02730215494831403 [ Info: [27] train-mlogloss:0.02711312416940927 [ Info: [28] train-mlogloss:0.02693900831043720 [ Info: [29] train-mlogloss:0.02677139858404795 [ Info: [30] train-mlogloss:0.02660773679614067 [ Info: [31] train-mlogloss:0.02646189437558254 [ Info: [32] train-mlogloss:0.02629525071630875 [ Info: [33] train-mlogloss:0.02615167080114285 [ Info: [34] train-mlogloss:0.02601790866504113 [ Info: [35] train-mlogloss:0.02589528981596231 [ Info: [36] train-mlogloss:0.02575842550645272 [ Info: [37] train-mlogloss:0.02564271277437608 [ Info: [38] train-mlogloss:0.02551737087468306 [ Info: [39] train-mlogloss:0.02540297018984954 [ Info: [40] train-mlogloss:0.02530067508419355 [ Info: [41] train-mlogloss:0.02520938216398160 [ Info: [42] train-mlogloss:0.02512236836055914 [ Info: [43] train-mlogloss:0.02504579993585745 [ Info: [44] train-mlogloss:0.02498073159406583 [ Info: [45] train-mlogloss:0.02491895329207182 [ Info: [46] train-mlogloss:0.02485515911132097 [ Info: [47] train-mlogloss:0.02479604627937079 [ Info: [48] train-mlogloss:0.02474083314339320 [ Info: [49] train-mlogloss:0.02468233952298761 [ Info: [50] train-mlogloss:0.02462833050017555 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.64666403373082482 [ Info: [2] train-mlogloss:0.41960529367129007 [ Info: [3] train-mlogloss:0.28543571432431541 [ Info: [4] train-mlogloss:0.20073765218257905 [ Info: [5] train-mlogloss:0.14398553669452668 [ Info: [6] train-mlogloss:0.10655188818772633 [ Info: [7] train-mlogloss:0.08132327536741893 [ Info: [8] train-mlogloss:0.06402489602565765 [ Info: [9] train-mlogloss:0.05137172192335129 [ Info: [10] train-mlogloss:0.04263678446412086 [ Info: [11] train-mlogloss:0.03683167487382889 [ Info: [12] train-mlogloss:0.03301424523194631 [ Info: [13] train-mlogloss:0.03004357848316431 [ Info: [14] train-mlogloss:0.02882522722085317 [ Info: [15] train-mlogloss:0.02835242357105017 [ Info: [16] train-mlogloss:0.02798117866118749 [ Info: [17] train-mlogloss:0.02762812810639540 [ Info: [18] train-mlogloss:0.02732735607773066 [ Info: [19] train-mlogloss:0.02708529572933912 [ Info: [20] train-mlogloss:0.02681138149152200 [ Info: [21] train-mlogloss:0.02659739418576161 [ Info: [22] train-mlogloss:0.02635914660990238 [ Info: [23] train-mlogloss:0.02615412463744481 [ Info: [24] train-mlogloss:0.02596845132609208 [ Info: [25] train-mlogloss:0.02579938174535831 [ Info: [26] train-mlogloss:0.02563012940809131 [ Info: [27] train-mlogloss:0.02548655747746428 [ Info: [28] train-mlogloss:0.02535223637397091 [ Info: [29] train-mlogloss:0.02523919404794773 [ Info: [30] train-mlogloss:0.02514846409360568 [ Info: [31] train-mlogloss:0.02506106354917089 [ Info: [32] train-mlogloss:0.02496968974669775 [ Info: [33] train-mlogloss:0.02488702324529489 [ Info: [34] train-mlogloss:0.02480883912493785 [ Info: [35] train-mlogloss:0.02472511708115538 [ Info: [36] train-mlogloss:0.02464886218309402 [ Info: [37] train-mlogloss:0.02457820009440184 [ Info: [38] train-mlogloss:0.02450099863732854 [ Info: [39] train-mlogloss:0.02443070235351721 [ Info: [40] train-mlogloss:0.02436481208230058 [ Info: [41] train-mlogloss:0.02429267047593991 [ Info: [42] train-mlogloss:0.02422722018634280 [ Info: [43] train-mlogloss:0.02416607415924470 [ Info: [44] train-mlogloss:0.02409880605836709 [ Info: [45] train-mlogloss:0.02403782454629739 [ Info: [46] train-mlogloss:0.02398046540096402 [ Info: [47] train-mlogloss:0.02392149584988753 [ Info: [48] train-mlogloss:0.02387529333432515 [ Info: [49] train-mlogloss:0.02382661842430631 [ Info: [50] train-mlogloss:0.02378308158367872 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.55845757246017458 [ Info: [2] train-mlogloss:0.33116710265477500 [ Info: [3] train-mlogloss:0.20975376625855763 [ Info: [4] train-mlogloss:0.13816061586141587 [ Info: [5] train-mlogloss:0.09561341245969136 [ Info: [6] train-mlogloss:0.06954161981741587 [ Info: [7] train-mlogloss:0.05244734952847163 [ Info: [8] train-mlogloss:0.04131820673743884 [ Info: [9] train-mlogloss:0.03454644076526165 [ Info: [10] train-mlogloss:0.03029965598136187 [ Info: [11] train-mlogloss:0.02864178703476985 [ Info: [12] train-mlogloss:0.02814111067603032 [ Info: [13] train-mlogloss:0.02775893114507198 [ Info: [14] train-mlogloss:0.02737576879560948 [ Info: [15] train-mlogloss:0.02705977727969488 [ Info: [16] train-mlogloss:0.02674267090857029 [ Info: [17] train-mlogloss:0.02647291476527850 [ Info: [18] train-mlogloss:0.02624479280163844 [ Info: [19] train-mlogloss:0.02598603768895070 [ Info: [20] train-mlogloss:0.02578152588258187 [ Info: [21] train-mlogloss:0.02561792682856321 [ Info: [22] train-mlogloss:0.02549329608678818 [ Info: [23] train-mlogloss:0.02534547238300244 [ Info: [24] train-mlogloss:0.02522840353349845 [ Info: [25] train-mlogloss:0.02512299963583549 [ Info: [26] train-mlogloss:0.02500458507488171 [ Info: [27] train-mlogloss:0.02490050554275513 [ Info: [28] train-mlogloss:0.02480813591430584 [ Info: [29] train-mlogloss:0.02470220220585664 [ Info: [30] train-mlogloss:0.02460818597426017 [ Info: [31] train-mlogloss:0.02452580576141675 [ Info: [32] train-mlogloss:0.02443007071812947 [ Info: [33] train-mlogloss:0.02434511589507262 [ Info: [34] train-mlogloss:0.02426885742694139 [ Info: [35] train-mlogloss:0.02418099202215672 [ Info: [36] train-mlogloss:0.02410331215709448 [ Info: [37] train-mlogloss:0.02403323967630664 [ Info: [38] train-mlogloss:0.02396000107750297 [ Info: [39] train-mlogloss:0.02390608685091138 [ Info: [40] train-mlogloss:0.02384797460089127 [ Info: [41] train-mlogloss:0.02379109175875783 [ Info: [42] train-mlogloss:0.02374143678694964 [ Info: [43] train-mlogloss:0.02368493130430579 [ Info: [44] train-mlogloss:0.02363853651409348 [ Info: [45] train-mlogloss:0.02358806330089768 [ Info: [46] train-mlogloss:0.02354288243999084 [ Info: [47] train-mlogloss:0.02349148721123735 [ Info: [48] train-mlogloss:0.02344828110809127 [ Info: [49] train-mlogloss:0.02340170952181021 [ Info: [50] train-mlogloss:0.02336016905804475 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.48000490625699360 [ Info: [2] train-mlogloss:0.26217482010523480 [ Info: [3] train-mlogloss:0.15476774791876474 [ Info: [4] train-mlogloss:0.09831961731115978 [ Info: [5] train-mlogloss:0.06734657078981400 [ Info: [6] train-mlogloss:0.04821299756566683 [ Info: [7] train-mlogloss:0.03784282070895036 [ Info: [8] train-mlogloss:0.03215818139413992 [ Info: [9] train-mlogloss:0.02808762684464455 [ Info: [10] train-mlogloss:0.02747532284508149 [ Info: [11] train-mlogloss:0.02695109890153011 [ Info: [12] train-mlogloss:0.02649131789803505 [ Info: [13] train-mlogloss:0.02607881279041370 [ Info: [14] train-mlogloss:0.02575695272535086 [ Info: [15] train-mlogloss:0.02542173734555642 [ Info: [16] train-mlogloss:0.02517659248163303 [ Info: [17] train-mlogloss:0.02497135806828737 [ Info: [18] train-mlogloss:0.02481184183930357 [ Info: [19] train-mlogloss:0.02466471211363872 [ Info: [20] train-mlogloss:0.02453661779562632 [ Info: [21] train-mlogloss:0.02439559821039438 [ Info: [22] train-mlogloss:0.02427668703099092 [ Info: [23] train-mlogloss:0.02416416510939598 [ Info: [24] train-mlogloss:0.02404166715840499 [ Info: [25] train-mlogloss:0.02393660388266047 [ Info: [26] train-mlogloss:0.02383900798857212 [ Info: [27] train-mlogloss:0.02374738955870271 [ Info: [28] train-mlogloss:0.02367010309671362 [ Info: [29] train-mlogloss:0.02359533054754138 [ Info: [30] train-mlogloss:0.02352550055210789 [ Info: [31] train-mlogloss:0.02345787289862832 [ Info: [32] train-mlogloss:0.02338712592919668 [ Info: [33] train-mlogloss:0.02332722069695592 [ Info: [34] train-mlogloss:0.02325104590505362 [ Info: [35] train-mlogloss:0.02319337614501516 [ Info: [36] train-mlogloss:0.02312509835387270 [ Info: [37] train-mlogloss:0.02306998280187448 [ Info: [38] train-mlogloss:0.02300463939085603 [ Info: [39] train-mlogloss:0.02295145692303777 [ Info: [40] train-mlogloss:0.02289271460846067 [ Info: [41] train-mlogloss:0.02283768255884449 [ Info: [42] train-mlogloss:0.02278389288733403 [ Info: [43] train-mlogloss:0.02272820753976703 [ Info: [44] train-mlogloss:0.02268125949427486 [ Info: [45] train-mlogloss:0.02262349781269829 [ Info: [46] train-mlogloss:0.02257752974207202 [ Info: [47] train-mlogloss:0.02253057656809688 [ Info: [48] train-mlogloss:0.02249110373357932 [ Info: [49] train-mlogloss:0.02244713532427947 [ Info: [50] train-mlogloss:0.02241045798485478 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97740493694941200 [ Info: [2] train-mlogloss:0.87448035160700477 [ Info: [3] train-mlogloss:0.78606931924819945 [ Info: [4] train-mlogloss:0.70921910206476846 [ Info: [5] train-mlogloss:0.64225029071172079 [ Info: [6] train-mlogloss:0.58351432561874395 [ Info: [7] train-mlogloss:0.53175492048263551 [ Info: [8] train-mlogloss:0.48593358993530272 [ Info: [9] train-mlogloss:0.44382348020871482 [ Info: [10] train-mlogloss:0.40733981649080914 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86508568684260045 [ Info: [2] train-mlogloss:0.69738167842229204 [ Info: [3] train-mlogloss:0.57103431383768721 [ Info: [4] train-mlogloss:0.47398040374120076 [ Info: [5] train-mlogloss:0.39561005632082619 [ Info: [6] train-mlogloss:0.33504081130027769 [ Info: [7] train-mlogloss:0.28537650803724923 [ Info: [8] train-mlogloss:0.24440359691778818 [ Info: [9] train-mlogloss:0.21193184336026510 [ Info: [10] train-mlogloss:0.18523700594902037 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76198127746582034 [ Info: [2] train-mlogloss:0.55756603717803954 [ Info: [3] train-mlogloss:0.42244039654731752 [ Info: [4] train-mlogloss:0.32481686830520629 [ Info: [5] train-mlogloss:0.25592541158199311 [ Info: [6] train-mlogloss:0.20461918930212655 [ Info: [7] train-mlogloss:0.16739801307519278 [ Info: [8] train-mlogloss:0.14032060126463572 [ Info: [9] train-mlogloss:0.11856057127316792 [ Info: [10] train-mlogloss:0.10171156441171963 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66824738423029584 [ Info: [2] train-mlogloss:0.44791152715682986 [ Info: [3] train-mlogloss:0.31355300108591716 [ Info: [4] train-mlogloss:0.22880794763565063 [ Info: [5] train-mlogloss:0.17424478441476821 [ Info: [6] train-mlogloss:0.13608011047045390 [ Info: [7] train-mlogloss:0.10992034032940864 [ Info: [8] train-mlogloss:0.09217248514294624 [ Info: [9] train-mlogloss:0.07827481135725975 [ Info: [10] train-mlogloss:0.06857074938714504 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58385534842809039 [ Info: [2] train-mlogloss:0.36374581813812257 [ Info: [3] train-mlogloss:0.24137181142965952 [ Info: [4] train-mlogloss:0.16965106308460234 [ Info: [5] train-mlogloss:0.12673316578070323 [ Info: [6] train-mlogloss:0.09741633802652359 [ Info: [7] train-mlogloss:0.07894872893889746 [ Info: [8] train-mlogloss:0.06746310758093993 [ Info: [9] train-mlogloss:0.05882138423621654 [ Info: [10] train-mlogloss:0.05347844747205575 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50859451611836748 [ Info: [2] train-mlogloss:0.29549476842085520 [ Info: [3] train-mlogloss:0.18606678446133931 [ Info: [4] train-mlogloss:0.12866258124510446 [ Info: [5] train-mlogloss:0.09311878850062688 [ Info: [6] train-mlogloss:0.07366815388202667 [ Info: [7] train-mlogloss:0.06176243349909782 [ Info: [8] train-mlogloss:0.05316139971216520 [ Info: [9] train-mlogloss:0.04882173633823792 [ Info: [10] train-mlogloss:0.04568232939889034 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97740493694941200 [ Info: [2] train-mlogloss:0.87448035160700477 [ Info: [3] train-mlogloss:0.78606931924819945 [ Info: [4] train-mlogloss:0.70921910206476846 [ Info: [5] train-mlogloss:0.64225029071172079 [ Info: [6] train-mlogloss:0.58351432561874395 [ Info: [7] train-mlogloss:0.53175492048263551 [ Info: [8] train-mlogloss:0.48593358993530272 [ Info: [9] train-mlogloss:0.44382348020871482 [ Info: [10] train-mlogloss:0.40733981649080914 [ Info: [11] train-mlogloss:0.37384521087010703 [ Info: [12] train-mlogloss:0.34466355641682944 [ Info: [13] train-mlogloss:0.31786635716756184 [ Info: [14] train-mlogloss:0.29369094967842102 [ Info: [15] train-mlogloss:0.27202421844005586 [ Info: [16] train-mlogloss:0.25201385458310444 [ Info: [17] train-mlogloss:0.23443796416123708 [ Info: [18] train-mlogloss:0.21831231315930685 [ Info: [19] train-mlogloss:0.20386669655640921 [ Info: [20] train-mlogloss:0.19077490588029225 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86508568684260045 [ Info: [2] train-mlogloss:0.69738167842229204 [ Info: [3] train-mlogloss:0.57103431383768721 [ Info: [4] train-mlogloss:0.47398040374120076 [ Info: [5] train-mlogloss:0.39561005632082619 [ Info: [6] train-mlogloss:0.33504081130027769 [ Info: [7] train-mlogloss:0.28537650803724923 [ Info: [8] train-mlogloss:0.24440359691778818 [ Info: [9] train-mlogloss:0.21193184336026510 [ Info: [10] train-mlogloss:0.18523700594902037 [ Info: [11] train-mlogloss:0.16357222219308218 [ Info: [12] train-mlogloss:0.14592207988103231 [ Info: [13] train-mlogloss:0.12985979149738947 [ Info: [14] train-mlogloss:0.11701688090960184 [ Info: [15] train-mlogloss:0.10661287799477577 [ Info: [16] train-mlogloss:0.09695161923766137 [ Info: [17] train-mlogloss:0.08944183041652044 [ Info: [18] train-mlogloss:0.08303937683502834 [ Info: [19] train-mlogloss:0.07739905409514904 [ Info: [20] train-mlogloss:0.07254832858840625 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76198127746582034 [ Info: [2] train-mlogloss:0.55756603717803954 [ Info: [3] train-mlogloss:0.42244039654731752 [ Info: [4] train-mlogloss:0.32481686830520629 [ Info: [5] train-mlogloss:0.25592541158199311 [ Info: [6] train-mlogloss:0.20461918930212655 [ Info: [7] train-mlogloss:0.16739801307519278 [ Info: [8] train-mlogloss:0.14032060126463572 [ Info: [9] train-mlogloss:0.11856057127316792 [ Info: [10] train-mlogloss:0.10171156441171963 [ Info: [11] train-mlogloss:0.08864665235082309 [ Info: [12] train-mlogloss:0.07916901076833407 [ Info: [13] train-mlogloss:0.07138599038124084 [ Info: [14] train-mlogloss:0.06556964792311192 [ Info: [15] train-mlogloss:0.06040255857010682 [ Info: [16] train-mlogloss:0.05647076000769933 [ Info: [17] train-mlogloss:0.05344492370883624 [ Info: [18] train-mlogloss:0.05114256719748179 [ Info: [19] train-mlogloss:0.04925201689203580 [ Info: [20] train-mlogloss:0.04741374153643847 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66824738423029584 [ Info: [2] train-mlogloss:0.44791152715682986 [ Info: [3] train-mlogloss:0.31355300108591716 [ Info: [4] train-mlogloss:0.22880794763565063 [ Info: [5] train-mlogloss:0.17424478441476821 [ Info: [6] train-mlogloss:0.13608011047045390 [ Info: [7] train-mlogloss:0.10992034032940864 [ Info: [8] train-mlogloss:0.09217248514294624 [ Info: [9] train-mlogloss:0.07827481135725975 [ Info: [10] train-mlogloss:0.06857074938714504 [ Info: [11] train-mlogloss:0.06119954183697700 [ Info: [12] train-mlogloss:0.05515776080389818 [ Info: [13] train-mlogloss:0.05123359460383654 [ Info: [14] train-mlogloss:0.04874548724542061 [ Info: [15] train-mlogloss:0.04622720175733169 [ Info: [16] train-mlogloss:0.04496273142596086 [ Info: [17] train-mlogloss:0.04316603591044744 [ Info: [18] train-mlogloss:0.04128685598572095 [ Info: [19] train-mlogloss:0.04021849378943444 [ Info: [20] train-mlogloss:0.03926275035987298 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58385534842809039 [ Info: [2] train-mlogloss:0.36374581813812257 [ Info: [3] train-mlogloss:0.24137181142965952 [ Info: [4] train-mlogloss:0.16965106308460234 [ Info: [5] train-mlogloss:0.12673316578070323 [ Info: [6] train-mlogloss:0.09741633802652359 [ Info: [7] train-mlogloss:0.07894872893889746 [ Info: [8] train-mlogloss:0.06746310758093993 [ Info: [9] train-mlogloss:0.05882138423621654 [ Info: [10] train-mlogloss:0.05347844747205575 [ Info: [11] train-mlogloss:0.04984148599207401 [ Info: [12] train-mlogloss:0.04709916154543559 [ Info: [13] train-mlogloss:0.04477934084832668 [ Info: [14] train-mlogloss:0.04314648843059937 [ Info: [15] train-mlogloss:0.04188960701227188 [ Info: [16] train-mlogloss:0.04058610972017049 [ Info: [17] train-mlogloss:0.03941493161022663 [ Info: [18] train-mlogloss:0.03851889103030165 [ Info: [19] train-mlogloss:0.03750851397713025 [ Info: [20] train-mlogloss:0.03663648756531378 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50859451611836748 [ Info: [2] train-mlogloss:0.29549476842085520 [ Info: [3] train-mlogloss:0.18606678446133931 [ Info: [4] train-mlogloss:0.12866258124510446 [ Info: [5] train-mlogloss:0.09311878850062688 [ Info: [6] train-mlogloss:0.07366815388202667 [ Info: [7] train-mlogloss:0.06176243349909782 [ Info: [8] train-mlogloss:0.05316139971216520 [ Info: [9] train-mlogloss:0.04882173633823792 [ Info: [10] train-mlogloss:0.04568232939889034 [ Info: [11] train-mlogloss:0.04300518393516541 [ Info: [12] train-mlogloss:0.04108598699172338 [ Info: [13] train-mlogloss:0.03963539845620592 [ Info: [14] train-mlogloss:0.03814810071140528 [ Info: [15] train-mlogloss:0.03703629482537508 [ Info: [16] train-mlogloss:0.03584046746604144 [ Info: [17] train-mlogloss:0.03476058181064824 [ Info: [18] train-mlogloss:0.03374321910242239 [ Info: [19] train-mlogloss:0.03297660735435784 [ Info: [20] train-mlogloss:0.03228176372125745 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97740493694941200 [ Info: [2] train-mlogloss:0.87448035160700477 [ Info: [3] train-mlogloss:0.78606931924819945 [ Info: [4] train-mlogloss:0.70921910206476846 [ Info: [5] train-mlogloss:0.64225029071172079 [ Info: [6] train-mlogloss:0.58351432561874395 [ Info: [7] train-mlogloss:0.53175492048263551 [ Info: [8] train-mlogloss:0.48593358993530272 [ Info: [9] train-mlogloss:0.44382348020871482 [ Info: [10] train-mlogloss:0.40733981649080914 [ Info: [11] train-mlogloss:0.37384521087010703 [ Info: [12] train-mlogloss:0.34466355641682944 [ Info: [13] train-mlogloss:0.31786635716756184 [ Info: [14] train-mlogloss:0.29369094967842102 [ Info: [15] train-mlogloss:0.27202421844005586 [ Info: [16] train-mlogloss:0.25201385458310444 [ Info: [17] train-mlogloss:0.23443796416123708 [ Info: [18] train-mlogloss:0.21831231315930685 [ Info: [19] train-mlogloss:0.20386669655640921 [ Info: [20] train-mlogloss:0.19077490588029225 [ Info: [21] train-mlogloss:0.17876347869634629 [ Info: [22] train-mlogloss:0.16782660057147344 [ Info: [23] train-mlogloss:0.15827916731437047 [ Info: [24] train-mlogloss:0.14960296461979547 [ Info: [25] train-mlogloss:0.14094163328409196 [ Info: [26] train-mlogloss:0.13322116374969484 [ Info: [27] train-mlogloss:0.12599193404118220 [ Info: [28] train-mlogloss:0.11950647344191868 [ Info: [29] train-mlogloss:0.11354939873019854 [ Info: [30] train-mlogloss:0.10797172074516614 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.86508568684260045 [ Info: [2] train-mlogloss:0.69738167842229204 [ Info: [3] train-mlogloss:0.57103431383768721 [ Info: [4] train-mlogloss:0.47398040374120076 [ Info: [5] train-mlogloss:0.39561005632082619 [ Info: [6] train-mlogloss:0.33504081130027769 [ Info: [7] train-mlogloss:0.28537650803724923 [ Info: [8] train-mlogloss:0.24440359691778818 [ Info: [9] train-mlogloss:0.21193184336026510 [ Info: [10] train-mlogloss:0.18523700594902037 [ Info: [11] train-mlogloss:0.16357222219308218 [ Info: [12] train-mlogloss:0.14592207988103231 [ Info: [13] train-mlogloss:0.12985979149738947 [ Info: [14] train-mlogloss:0.11701688090960184 [ Info: [15] train-mlogloss:0.10661287799477577 [ Info: [16] train-mlogloss:0.09695161923766137 [ Info: [17] train-mlogloss:0.08944183041652044 [ Info: [18] train-mlogloss:0.08303937683502834 [ Info: [19] train-mlogloss:0.07739905409514904 [ Info: [20] train-mlogloss:0.07254832858840625 [ Info: [21] train-mlogloss:0.06855549534161885 [ Info: [22] train-mlogloss:0.06492882142464319 [ Info: [23] train-mlogloss:0.06160836031039556 [ Info: [24] train-mlogloss:0.05858722085754076 [ Info: [25] train-mlogloss:0.05638664824267228 [ Info: [26] train-mlogloss:0.05443489093333483 [ Info: [27] train-mlogloss:0.05317286955813567 [ Info: [28] train-mlogloss:0.05204031353195508 [ Info: [29] train-mlogloss:0.05068006699283917 [ Info: [30] train-mlogloss:0.04959872489174207 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.76198127746582034 [ Info: [2] train-mlogloss:0.55756603717803954 [ Info: [3] train-mlogloss:0.42244039654731752 [ Info: [4] train-mlogloss:0.32481686830520629 [ Info: [5] train-mlogloss:0.25592541158199311 [ Info: [6] train-mlogloss:0.20461918930212655 [ Info: [7] train-mlogloss:0.16739801307519278 [ Info: [8] train-mlogloss:0.14032060126463572 [ Info: [9] train-mlogloss:0.11856057127316792 [ Info: [10] train-mlogloss:0.10171156441171963 [ Info: [11] train-mlogloss:0.08864665235082309 [ Info: [12] train-mlogloss:0.07916901076833407 [ Info: [13] train-mlogloss:0.07138599038124084 [ Info: [14] train-mlogloss:0.06556964792311192 [ Info: [15] train-mlogloss:0.06040255857010682 [ Info: [16] train-mlogloss:0.05647076000769933 [ Info: [17] train-mlogloss:0.05344492370883624 [ Info: [18] train-mlogloss:0.05114256719748179 [ Info: [19] train-mlogloss:0.04925201689203580 [ Info: [20] train-mlogloss:0.04741374153643847 [ Info: [21] train-mlogloss:0.04592454589903355 [ Info: [22] train-mlogloss:0.04454387151946624 [ Info: [23] train-mlogloss:0.04357126269489527 [ Info: [24] train-mlogloss:0.04270398685708642 [ Info: [25] train-mlogloss:0.04200540617108345 [ Info: [26] train-mlogloss:0.04128253662337859 [ Info: [27] train-mlogloss:0.04063718950996796 [ Info: [28] train-mlogloss:0.03995427484313647 [ Info: [29] train-mlogloss:0.03932422429944078 [ Info: [30] train-mlogloss:0.03876402078196407 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.66824738423029584 [ Info: [2] train-mlogloss:0.44791152715682986 [ Info: [3] train-mlogloss:0.31355300108591716 [ Info: [4] train-mlogloss:0.22880794763565063 [ Info: [5] train-mlogloss:0.17424478441476821 [ Info: [6] train-mlogloss:0.13608011047045390 [ Info: [7] train-mlogloss:0.10992034032940864 [ Info: [8] train-mlogloss:0.09217248514294624 [ Info: [9] train-mlogloss:0.07827481135725975 [ Info: [10] train-mlogloss:0.06857074938714504 [ Info: [11] train-mlogloss:0.06119954183697700 [ Info: [12] train-mlogloss:0.05515776080389818 [ Info: [13] train-mlogloss:0.05123359460383654 [ Info: [14] train-mlogloss:0.04874548724542061 [ Info: [15] train-mlogloss:0.04622720175733169 [ Info: [16] train-mlogloss:0.04496273142596086 [ Info: [17] train-mlogloss:0.04316603591044744 [ Info: [18] train-mlogloss:0.04128685598572095 [ Info: [19] train-mlogloss:0.04021849378943444 [ Info: [20] train-mlogloss:0.03926275035987298 [ Info: [21] train-mlogloss:0.03835408869509896 [ Info: [22] train-mlogloss:0.03766307993481557 [ Info: [23] train-mlogloss:0.03689139029632012 [ Info: [24] train-mlogloss:0.03614050183445215 [ Info: [25] train-mlogloss:0.03543161364893119 [ Info: [26] train-mlogloss:0.03487467470268409 [ Info: [27] train-mlogloss:0.03427119885881742 [ Info: [28] train-mlogloss:0.03378546384473641 [ Info: [29] train-mlogloss:0.03327012117641667 [ Info: [30] train-mlogloss:0.03282975512556732 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.58385534842809039 [ Info: [2] train-mlogloss:0.36374581813812257 [ Info: [3] train-mlogloss:0.24137181142965952 [ Info: [4] train-mlogloss:0.16965106308460234 [ Info: [5] train-mlogloss:0.12673316578070323 [ Info: [6] train-mlogloss:0.09741633802652359 [ Info: [7] train-mlogloss:0.07894872893889746 [ Info: [8] train-mlogloss:0.06746310758093993 [ Info: [9] train-mlogloss:0.05882138423621654 [ Info: [10] train-mlogloss:0.05347844747205575 [ Info: [11] train-mlogloss:0.04984148599207401 [ Info: [12] train-mlogloss:0.04709916154543559 [ Info: [13] train-mlogloss:0.04477934084832668 [ Info: [14] train-mlogloss:0.04314648843059937 [ Info: [15] train-mlogloss:0.04188960701227188 [ Info: [16] train-mlogloss:0.04058610972017049 [ Info: [17] train-mlogloss:0.03941493161022663 [ Info: [18] train-mlogloss:0.03851889103030165 [ Info: [19] train-mlogloss:0.03750851397713025 [ Info: [20] train-mlogloss:0.03663648756531378 [ Info: [21] train-mlogloss:0.03576667613039414 [ Info: [22] train-mlogloss:0.03510764203965664 [ Info: [23] train-mlogloss:0.03432634526242812 [ Info: [24] train-mlogloss:0.03378127655014396 [ Info: [25] train-mlogloss:0.03312779125757515 [ Info: [26] train-mlogloss:0.03247780373009543 [ Info: [27] train-mlogloss:0.03200366470962763 [ Info: [28] train-mlogloss:0.03145223633075754 [ Info: [29] train-mlogloss:0.03089155749417841 [ Info: [30] train-mlogloss:0.03047612823390712 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.50859451611836748 [ Info: [2] train-mlogloss:0.29549476842085520 [ Info: [3] train-mlogloss:0.18606678446133931 [ Info: [4] train-mlogloss:0.12866258124510446 [ Info: [5] train-mlogloss:0.09311878850062688 [ Info: [6] train-mlogloss:0.07366815388202667 [ Info: [7] train-mlogloss:0.06176243349909782 [ Info: [8] train-mlogloss:0.05316139971216520 [ Info: [9] train-mlogloss:0.04882173633823792 [ Info: [10] train-mlogloss:0.04568232939889034 [ Info: [11] train-mlogloss:0.04300518393516541 [ Info: [12] train-mlogloss:0.04108598699172338 [ Info: [13] train-mlogloss:0.03963539845620592 [ Info: [14] train-mlogloss:0.03814810071140528 [ Info: [15] train-mlogloss:0.03703629482537508 [ Info: [16] train-mlogloss:0.03584046746604144 [ Info: [17] train-mlogloss:0.03476058181064824 [ Info: [18] train-mlogloss:0.03374321910242239 [ Info: [19] train-mlogloss:0.03297660735435784 [ Info: [20] train-mlogloss:0.03228176372125745 [ Info: [21] train-mlogloss:0.03163612214227517 [ Info: [22] train-mlogloss:0.03102789612486959 [ Info: [23] train-mlogloss:0.03050931480092307 [ Info: [24] train-mlogloss:0.03003694689677407 [ Info: [25] train-mlogloss:0.02961143984148900 [ Info: [26] train-mlogloss:0.02916835274392118 [ Info: [27] train-mlogloss:0.02879410040564835 [ Info: [28] train-mlogloss:0.02845779644946257 [ Info: [29] train-mlogloss:0.02813526179796706 [ Info: [30] train-mlogloss:0.02785673788593461 [ Info: Training rounds complete. [ Info: XGBoost: starting training. [ Info: [1] train-mlogloss:0.97740493694941200 [ Info: [2] train-mlogloss:0.87448035160700477 [ Info: [3] train-mlogloss:0.78606931924819945 [ Info: [4] train-mlogloss:0.70921910206476846 [ Info: [5] train-mlogloss:0.64225029071172079 [ Info: [6] train-mlogloss:0.58351432561874395 [ Info: [7] train-mlogloss:0.53175492048263551 [ Info: [8] train-mlogloss:0.48593358993530272 [ Info: [9] train-mlogloss:0.44382348020871482 [ Info: [10] train-mlogloss:0.40733981649080914 [ Info: [11] train-mlogloss:0.37384521087010703 [ Info: [12] train-mlogloss:0.34466355641682944 [ Info: [13] train-mlogloss:0.31786635716756184 [ Info: [14] train-mlogloss:0.29369094967842102 [ Info: [15] train-mlogloss:0.27202421844005586 [ Info: [16] train-mlogloss:0.25201385458310444 [ Info PkgEval terminated after 1808.04s: test log exceeded the size limit