Package evaluation of SDeMo on Julia 1.13.0-DEV.140 (fac1ce7906*) started at 2025-03-02T11:38:14.939


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.26s


################################################################################
# Installation
#

Installing SDeMo...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [3e5feb82] + SDeMo v1.3.1
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [66dad0bd] + AliasTables v1.1.3
  [7d9fca2a] + Arpack v0.5.4
  [34da2185] + Compat v4.16.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.20
  [31c24e10] + Distributions v0.25.117
  [ffbed154] + DocStringExtensions v0.9.3
  [1a297f60] + FillArrays v1.13.0
  [34004b35] + HypergeometricFunctions v0.3.27
  [92d709cd] + IrrationalConstants v0.2.4
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e1d29d7a] + Missings v1.2.0
  [6f286f6a] + MultivariateStats v0.10.3
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.32
  [69de0a69] + Parsers v2.8.1
  [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [189a3867] + Reexport v1.2.2
  [79098fc4] + Rmath v0.8.0
  [3e5feb82] + SDeMo v1.3.1
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
  [2913bbd2] + StatsBase v0.34.4
  [4c63d2b9] + StatsFuns v1.3.2
  [1c621080] + TestItems v1.0.0
⌅ [68821587] + Arpack_jll v3.5.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching 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 v1.12.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization 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
  [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 v2024.12.31
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.0.16+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+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. To see why use `status --outdated -m`

Installation completed after 2.14s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 31.92s


################################################################################
# Testing
#

     Testing SDeMo
      Status `/tmp/jl_keOciv/Project.toml`
  [3e5feb82] SDeMo v1.3.1
  [10745b16] Statistics v1.11.1
  [f8b46487] TestItemRunner v1.1.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_keOciv/Manifest.toml`
  [66dad0bd] AliasTables v1.1.3
  [7d9fca2a] Arpack v0.5.4
  [34da2185] Compat v4.16.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.20
  [31c24e10] Distributions v0.25.117
  [ffbed154] DocStringExtensions v0.9.3
  [1a297f60] FillArrays v1.13.0
  [34004b35] HypergeometricFunctions v0.3.27
  [92d709cd] IrrationalConstants v0.2.4
  [692b3bcd] JLLWrappers v1.7.0
  [682c06a0] JSON v0.21.4
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e1d29d7a] Missings v1.2.0
  [6f286f6a] MultivariateStats v0.10.3
  [bac558e1] OrderedCollections v1.8.0
  [90014a1f] PDMats v0.11.32
  [69de0a69] Parsers v2.8.1
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [189a3867] Reexport v1.2.2
  [79098fc4] Rmath v0.8.0
  [3e5feb82] SDeMo v1.3.1
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
  [2913bbd2] StatsBase v0.34.4
  [4c63d2b9] StatsFuns v1.3.2
  [f8b46487] TestItemRunner v1.1.0
  [1c621080] TestItems v1.0.0
⌅ [68821587] Arpack_jll v3.5.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching 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 v1.12.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization 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 v2024.12.31
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.0.16+0
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.12.0+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...
[ Info: [  0%] LOSS: training ≈ 0.4965 validation ≈ 0.4752 ( 96%)
[ Info: [  1%] LOSS: training ≈ 0.4213 validation ≈ 0.4131 ( 98%)
[ Info: [  2%] LOSS: training ≈ 0.3843 validation ≈ 0.3839 (100%)
[ Info: [  2%] LOSS: training ≈ 0.3622 validation ≈ 0.3672 (101%)
[ Info: [  2%] LOSS: training ≈ 0.3474 validation ≈ 0.3565 (103%)
[ Info: [  3%] LOSS: training ≈ 0.3367 validation ≈ 0.349  (104%)
[ Info: [  4%] LOSS: training ≈ 0.3284 validation ≈ 0.3435 (105%)
[ Info: [  4%] LOSS: training ≈ 0.3219 validation ≈ 0.3392 (105%)
[ Info: [  4%] LOSS: training ≈ 0.3165 validation ≈ 0.3358 (106%)
[ Info: [  5%] LOSS: training ≈ 0.312  validation ≈ 0.333  (107%)
[ Info: [  6%] LOSS: training ≈ 0.3081 validation ≈ 0.3306 (107%)
[ Info: [  6%] LOSS: training ≈ 0.3047 validation ≈ 0.3285 (108%)
[ Info: [  6%] LOSS: training ≈ 0.3018 validation ≈ 0.3266 (108%)
[ Info: [  7%] LOSS: training ≈ 0.2991 validation ≈ 0.325  (109%)
[ Info: [  8%] LOSS: training ≈ 0.2968 validation ≈ 0.3235 (109%)
[ Info: [  8%] LOSS: training ≈ 0.2946 validation ≈ 0.3221 (109%)
[ Info: [  8%] LOSS: training ≈ 0.2926 validation ≈ 0.3208 (110%)
[ Info: [  9%] LOSS: training ≈ 0.2908 validation ≈ 0.3196 (110%)
[ Info: [ 10%] LOSS: training ≈ 0.2892 validation ≈ 0.3185 (110%)
[ Info: [ 10%] LOSS: training ≈ 0.2876 validation ≈ 0.3174 (110%)
[ Info: [ 10%] LOSS: training ≈ 0.2862 validation ≈ 0.3164 (111%)
[ Info: [ 11%] LOSS: training ≈ 0.2849 validation ≈ 0.3155 (111%)
[ Info: [ 12%] LOSS: training ≈ 0.2836 validation ≈ 0.3145 (111%)
[ Info: [ 12%] LOSS: training ≈ 0.2824 validation ≈ 0.3136 (111%)
[ Info: [ 12%] LOSS: training ≈ 0.2813 validation ≈ 0.3128 (111%)
[ Info: [ 13%] LOSS: training ≈ 0.2803 validation ≈ 0.312  (111%)
[ Info: [ 14%] LOSS: training ≈ 0.2793 validation ≈ 0.3112 (111%)
[ Info: [ 14%] LOSS: training ≈ 0.2783 validation ≈ 0.3104 (112%)
[ Info: [ 14%] LOSS: training ≈ 0.2774 validation ≈ 0.3096 (112%)
[ Info: [ 15%] LOSS: training ≈ 0.2765 validation ≈ 0.3089 (112%)
[ Info: [ 16%] LOSS: training ≈ 0.2757 validation ≈ 0.3082 (112%)
[ Info: [ 16%] LOSS: training ≈ 0.2749 validation ≈ 0.3075 (112%)
[ Info: [ 16%] LOSS: training ≈ 0.2742 validation ≈ 0.3068 (112%)
[ Info: [ 17%] LOSS: training ≈ 0.2735 validation ≈ 0.3061 (112%)
[ Info: [ 18%] LOSS: training ≈ 0.2728 validation ≈ 0.3055 (112%)
[ Info: [ 18%] LOSS: training ≈ 0.2721 validation ≈ 0.3049 (112%)
[ Info: [ 18%] LOSS: training ≈ 0.2715 validation ≈ 0.3042 (112%)
[ Info: [ 19%] LOSS: training ≈ 0.2708 validation ≈ 0.3036 (112%)
[ Info: [ 20%] LOSS: training ≈ 0.2702 validation ≈ 0.3031 (112%)
[ Info: [ 20%] LOSS: training ≈ 0.2697 validation ≈ 0.3025 (112%)
[ Info: [ 20%] LOSS: training ≈ 0.2691 validation ≈ 0.3019 (112%)
[ Info: [ 21%] LOSS: training ≈ 0.2686 validation ≈ 0.3014 (112%)
[ Info: [ 22%] LOSS: training ≈ 0.2681 validation ≈ 0.3008 (112%)
[ Info: [ 22%] LOSS: training ≈ 0.2676 validation ≈ 0.3003 (112%)
[ Info: [ 22%] LOSS: training ≈ 0.2671 validation ≈ 0.2998 (112%)
[ Info: [ 23%] LOSS: training ≈ 0.2666 validation ≈ 0.2993 (112%)
[ Info: [ 24%] LOSS: training ≈ 0.2662 validation ≈ 0.2988 (112%)
[ Info: [ 24%] LOSS: training ≈ 0.2657 validation ≈ 0.2983 (112%)
[ Info: [ 24%] LOSS: training ≈ 0.2653 validation ≈ 0.2979 (112%)
[ Info: [ 25%] LOSS: training ≈ 0.2649 validation ≈ 0.2974 (112%)
[ Info: [ 26%] LOSS: training ≈ 0.2645 validation ≈ 0.297  (112%)
[ Info: [ 26%] LOSS: training ≈ 0.2641 validation ≈ 0.2965 (112%)
[ Info: [ 26%] LOSS: training ≈ 0.2638 validation ≈ 0.2961 (112%)
[ Info: [ 27%] LOSS: training ≈ 0.2634 validation ≈ 0.2957 (112%)
[ Info: [ 28%] LOSS: training ≈ 0.2631 validation ≈ 0.2953 (112%)
[ Info: [ 28%] LOSS: training ≈ 0.2627 validation ≈ 0.2949 (112%)
[ Info: [ 28%] LOSS: training ≈ 0.2624 validation ≈ 0.2945 (112%)
[ Info: [ 29%] LOSS: training ≈ 0.2621 validation ≈ 0.2941 (112%)
[ Info: [ 30%] LOSS: training ≈ 0.2617 validation ≈ 0.2938 (112%)
[ Info: [ 30%] LOSS: training ≈ 0.2614 validation ≈ 0.2934 (112%)
[ Info: [ 30%] LOSS: training ≈ 0.2612 validation ≈ 0.293  (112%)
[ Info: [ 31%] LOSS: training ≈ 0.2609 validation ≈ 0.2927 (112%)
[ Info: [ 32%] LOSS: training ≈ 0.2606 validation ≈ 0.2923 (112%)
[ Info: [ 32%] LOSS: training ≈ 0.2603 validation ≈ 0.292  (112%)
[ Info: [ 32%] LOSS: training ≈ 0.2601 validation ≈ 0.2917 (112%)
[ Info: [ 33%] LOSS: training ≈ 0.2598 validation ≈ 0.2914 (112%)
[ Info: [ 34%] LOSS: training ≈ 0.2595 validation ≈ 0.2911 (112%)
[ Info: [ 34%] LOSS: training ≈ 0.2593 validation ≈ 0.2907 (112%)
[ Info: [ 34%] LOSS: training ≈ 0.2591 validation ≈ 0.2904 (112%)
[ Info: [ 35%] LOSS: training ≈ 0.2588 validation ≈ 0.2902 (112%)
[ Info: [ 36%] LOSS: training ≈ 0.2586 validation ≈ 0.2899 (112%)
[ Info: [ 36%] LOSS: training ≈ 0.2584 validation ≈ 0.2896 (112%)
[ Info: [ 36%] LOSS: training ≈ 0.2582 validation ≈ 0.2893 (112%)
[ Info: [ 37%] LOSS: training ≈ 0.258  validation ≈ 0.2891 (112%)
[ Info: [ 38%] LOSS: training ≈ 0.2578 validation ≈ 0.2888 (112%)
[ Info: [ 38%] LOSS: training ≈ 0.2576 validation ≈ 0.2885 (112%)
[ Info: [ 38%] LOSS: training ≈ 0.2574 validation ≈ 0.2883 (112%)
[ Info: [ 39%] LOSS: training ≈ 0.2572 validation ≈ 0.288  (112%)
[ Info: [ 40%] LOSS: training ≈ 0.257  validation ≈ 0.2878 (112%)
[ Info: [ 40%] LOSS: training ≈ 0.2568 validation ≈ 0.2876 (112%)
[ Info: [ 40%] LOSS: training ≈ 0.2567 validation ≈ 0.2873 (112%)
[ Info: [ 41%] LOSS: training ≈ 0.2565 validation ≈ 0.2871 (112%)
[ Info: [ 42%] LOSS: training ≈ 0.2563 validation ≈ 0.2869 (112%)
[ Info: [ 42%] LOSS: training ≈ 0.2562 validation ≈ 0.2867 (112%)
[ Info: [ 42%] LOSS: training ≈ 0.256  validation ≈ 0.2865 (112%)
[ Info: [ 43%] LOSS: training ≈ 0.2558 validation ≈ 0.2863 (112%)
[ Info: [ 44%] LOSS: training ≈ 0.2557 validation ≈ 0.2861 (112%)
[ Info: [ 44%] LOSS: training ≈ 0.2555 validation ≈ 0.2859 (112%)
[ Info: [ 44%] LOSS: training ≈ 0.2554 validation ≈ 0.2857 (112%)
[ Info: [ 45%] LOSS: training ≈ 0.2553 validation ≈ 0.2855 (112%)
[ Info: [ 46%] LOSS: training ≈ 0.2551 validation ≈ 0.2853 (112%)
[ Info: [ 46%] LOSS: training ≈ 0.255  validation ≈ 0.2851 (112%)
[ Info: [ 46%] LOSS: training ≈ 0.2549 validation ≈ 0.285  (112%)
[ Info: [ 47%] LOSS: training ≈ 0.2547 validation ≈ 0.2848 (112%)
[ Info: [ 48%] LOSS: training ≈ 0.2546 validation ≈ 0.2846 (112%)
[ Info: [ 48%] LOSS: training ≈ 0.2545 validation ≈ 0.2845 (112%)
[ Info: [ 48%] LOSS: training ≈ 0.2544 validation ≈ 0.2843 (112%)
[ Info: [ 49%] LOSS: training ≈ 0.2542 validation ≈ 0.2841 (112%)
[ Info: [ 50%] LOSS: training ≈ 0.2541 validation ≈ 0.284  (112%)
[ Info: [ 50%] LOSS: training ≈ 0.254  validation ≈ 0.2838 (112%)
[ Info: [ 50%] LOSS: training ≈ 0.2539 validation ≈ 0.2837 (112%)
[ Info: [ 51%] LOSS: training ≈ 0.2538 validation ≈ 0.2835 (112%)
[ Info: [ 52%] LOSS: training ≈ 0.2537 validation ≈ 0.2834 (112%)
[ Info: [ 52%] LOSS: training ≈ 0.2536 validation ≈ 0.2833 (112%)
[ Info: [ 52%] LOSS: training ≈ 0.2535 validation ≈ 0.2831 (112%)
[ Info: [ 53%] LOSS: training ≈ 0.2534 validation ≈ 0.283  (112%)
[ Info: [ 54%] LOSS: training ≈ 0.2533 validation ≈ 0.2829 (112%)
[ Info: [ 54%] LOSS: training ≈ 0.2532 validation ≈ 0.2827 (112%)
[ Info: [ 55%] LOSS: training ≈ 0.2531 validation ≈ 0.2826 (112%)
[ Info: [ 55%] LOSS: training ≈ 0.253  validation ≈ 0.2825 (112%)
[ Info: [ 56%] LOSS: training ≈ 0.2529 validation ≈ 0.2824 (112%)
[ Info: [ 56%] LOSS: training ≈ 0.2528 validation ≈ 0.2823 (112%)
[ Info: [ 56%] LOSS: training ≈ 0.2528 validation ≈ 0.2821 (112%)
[ Info: [ 57%] LOSS: training ≈ 0.2527 validation ≈ 0.282  (112%)
[ Info: [ 57%] LOSS: training ≈ 0.2526 validation ≈ 0.2819 (112%)
[ Info: [ 58%] LOSS: training ≈ 0.2525 validation ≈ 0.2818 (112%)
[ Info: [ 58%] LOSS: training ≈ 0.2524 validation ≈ 0.2817 (112%)
[ Info: [ 59%] LOSS: training ≈ 0.2524 validation ≈ 0.2816 (112%)
[ Info: [ 60%] LOSS: training ≈ 0.2523 validation ≈ 0.2815 (112%)
[ Info: [ 60%] LOSS: training ≈ 0.2522 validation ≈ 0.2814 (112%)
[ Info: [ 60%] LOSS: training ≈ 0.2521 validation ≈ 0.2813 (112%)
[ Info: [ 61%] LOSS: training ≈ 0.2521 validation ≈ 0.2812 (112%)
[ Info: [ 62%] LOSS: training ≈ 0.252  validation ≈ 0.2811 (112%)
[ Info: [ 62%] LOSS: training ≈ 0.2519 validation ≈ 0.281  (112%)
[ Info: [ 62%] LOSS: training ≈ 0.2519 validation ≈ 0.2809 (112%)
[ Info: [ 63%] LOSS: training ≈ 0.2518 validation ≈ 0.2808 (112%)
[ Info: [ 64%] LOSS: training ≈ 0.2517 validation ≈ 0.2808 (112%)
[ Info: [ 64%] LOSS: training ≈ 0.2517 validation ≈ 0.2807 (112%)
[ Info: [ 64%] LOSS: training ≈ 0.2516 validation ≈ 0.2806 (112%)
[ Info: [ 65%] LOSS: training ≈ 0.2515 validation ≈ 0.2805 (112%)
[ Info: [ 66%] LOSS: training ≈ 0.2515 validation ≈ 0.2804 (112%)
[ Info: [ 66%] LOSS: training ≈ 0.2514 validation ≈ 0.2803 (112%)
[ Info: [ 66%] LOSS: training ≈ 0.2514 validation ≈ 0.2803 (111%)
[ Info: [ 67%] LOSS: training ≈ 0.2513 validation ≈ 0.2802 (111%)
[ Info: [ 68%] LOSS: training ≈ 0.2513 validation ≈ 0.2801 (111%)
[ Info: [ 68%] LOSS: training ≈ 0.2512 validation ≈ 0.28   (111%)
[ Info: [ 68%] LOSS: training ≈ 0.2511 validation ≈ 0.28   (111%)
[ Info: [ 69%] LOSS: training ≈ 0.2511 validation ≈ 0.2799 (111%)
[ Info: [ 70%] LOSS: training ≈ 0.251  validation ≈ 0.2798 (111%)
[ Info: [ 70%] LOSS: training ≈ 0.251  validation ≈ 0.2798 (111%)
[ Info: [ 70%] LOSS: training ≈ 0.2509 validation ≈ 0.2797 (111%)
[ Info: [ 71%] LOSS: training ≈ 0.2509 validation ≈ 0.2796 (111%)
[ Info: [ 72%] LOSS: training ≈ 0.2508 validation ≈ 0.2796 (111%)
[ Info: [ 72%] LOSS: training ≈ 0.2508 validation ≈ 0.2795 (111%)
[ Info: [ 72%] LOSS: training ≈ 0.2508 validation ≈ 0.2794 (111%)
[ Info: [ 73%] LOSS: training ≈ 0.2507 validation ≈ 0.2794 (111%)
[ Info: [ 74%] LOSS: training ≈ 0.2507 validation ≈ 0.2793 (111%)
[ Info: [ 74%] LOSS: training ≈ 0.2506 validation ≈ 0.2793 (111%)
[ Info: [ 74%] LOSS: training ≈ 0.2506 validation ≈ 0.2792 (111%)
[ Info: [ 75%] LOSS: training ≈ 0.2505 validation ≈ 0.2792 (111%)
[ Info: [ 76%] LOSS: training ≈ 0.2505 validation ≈ 0.2791 (111%)
[ Info: [ 76%] LOSS: training ≈ 0.2505 validation ≈ 0.279  (111%)
[ Info: [ 76%] LOSS: training ≈ 0.2504 validation ≈ 0.279  (111%)
[ Info: [ 77%] LOSS: training ≈ 0.2504 validation ≈ 0.2789 (111%)
[ Info: [ 78%] LOSS: training ≈ 0.2503 validation ≈ 0.2789 (111%)
[ Info: [ 78%] LOSS: training ≈ 0.2503 validation ≈ 0.2788 (111%)
[ Info: [ 78%] LOSS: training ≈ 0.2503 validation ≈ 0.2788 (111%)
[ Info: [ 79%] LOSS: training ≈ 0.2502 validation ≈ 0.2787 (111%)
[ Info: [ 80%] LOSS: training ≈ 0.2502 validation ≈ 0.2787 (111%)
[ Info: [ 80%] LOSS: training ≈ 0.2502 validation ≈ 0.2786 (111%)
[ Info: [ 80%] LOSS: training ≈ 0.2501 validation ≈ 0.2786 (111%)
[ Info: [ 81%] LOSS: training ≈ 0.2501 validation ≈ 0.2785 (111%)
[ Info: [ 82%] LOSS: training ≈ 0.25   validation ≈ 0.2785 (111%)
[ Info: [ 82%] LOSS: training ≈ 0.25   validation ≈ 0.2785 (111%)
[ Info: [ 82%] LOSS: training ≈ 0.25   validation ≈ 0.2784 (111%)
[ Info: [ 83%] LOSS: training ≈ 0.2499 validation ≈ 0.2784 (111%)
[ Info: [ 84%] LOSS: training ≈ 0.2499 validation ≈ 0.2783 (111%)
[ Info: [ 84%] LOSS: training ≈ 0.2499 validation ≈ 0.2783 (111%)
[ Info: [ 84%] LOSS: training ≈ 0.2499 validation ≈ 0.2783 (111%)
[ Info: [ 85%] LOSS: training ≈ 0.2498 validation ≈ 0.2782 (111%)
[ Info: [ 86%] LOSS: training ≈ 0.2498 validation ≈ 0.2782 (111%)
[ Info: [ 86%] LOSS: training ≈ 0.2498 validation ≈ 0.2781 (111%)
[ Info: [ 86%] LOSS: training ≈ 0.2497 validation ≈ 0.2781 (111%)
[ Info: [ 87%] LOSS: training ≈ 0.2497 validation ≈ 0.2781 (111%)
[ Info: [ 88%] LOSS: training ≈ 0.2497 validation ≈ 0.278  (111%)
[ Info: [ 88%] LOSS: training ≈ 0.2497 validation ≈ 0.278  (111%)
[ Info: [ 88%] LOSS: training ≈ 0.2496 validation ≈ 0.278  (111%)
[ Info: [ 89%] LOSS: training ≈ 0.2496 validation ≈ 0.2779 (111%)
[ Info: [ 90%] LOSS: training ≈ 0.2496 validation ≈ 0.2779 (111%)
[ Info: [ 90%] LOSS: training ≈ 0.2495 validation ≈ 0.2779 (111%)
[ Info: [ 90%] LOSS: training ≈ 0.2495 validation ≈ 0.2778 (111%)
[ Info: [ 91%] LOSS: training ≈ 0.2495 validation ≈ 0.2778 (111%)
[ Info: [ 92%] LOSS: training ≈ 0.2495 validation ≈ 0.2778 (111%)
[ Info: [ 92%] LOSS: training ≈ 0.2495 validation ≈ 0.2777 (111%)
[ Info: [ 92%] LOSS: training ≈ 0.2494 validation ≈ 0.2777 (111%)
[ Info: [ 93%] LOSS: training ≈ 0.2494 validation ≈ 0.2777 (111%)
[ Info: [ 94%] LOSS: training ≈ 0.2494 validation ≈ 0.2776 (111%)
[ Info: [ 94%] LOSS: training ≈ 0.2494 validation ≈ 0.2776 (111%)
[ Info: [ 94%] LOSS: training ≈ 0.2493 validation ≈ 0.2776 (111%)
[ Info: [ 95%] LOSS: training ≈ 0.2493 validation ≈ 0.2775 (111%)
[ Info: [ 96%] LOSS: training ≈ 0.2493 validation ≈ 0.2775 (111%)
[ Info: [ 96%] LOSS: training ≈ 0.2493 validation ≈ 0.2775 (111%)
[ Info: [ 96%] LOSS: training ≈ 0.2492 validation ≈ 0.2775 (111%)
[ Info: [ 97%] LOSS: training ≈ 0.2492 validation ≈ 0.2774 (111%)
[ Info: [ 98%] LOSS: training ≈ 0.2492 validation ≈ 0.2774 (111%)
[ Info: [ 98%] LOSS: training ≈ 0.2492 validation ≈ 0.2774 (111%)
[ Info: [ 98%] LOSS: training ≈ 0.2492 validation ≈ 0.2774 (111%)
[ Info: [ 99%] LOSS: training ≈ 0.2491 validation ≈ 0.2773 (111%)
[ Info: [100%] LOSS: training ≈ 0.2491 validation ≈ 0.2773 (111%)
[ Info: [100%] LOSS: training ≈ 0.2491 validation ≈ 0.2773 (111%)
[ Info: [  0%] LOSS: training ≈ 0.4215
[ Info: [  1%] LOSS: training ≈ 0.3806
[ Info: [  2%] LOSS: training ≈ 0.3564
[ Info: [  2%] LOSS: training ≈ 0.3399
[ Info: [  2%] LOSS: training ≈ 0.3279
[ Info: [  3%] LOSS: training ≈ 0.3185
[ Info: [  4%] LOSS: training ≈ 0.311 
[ Info: [  4%] LOSS: training ≈ 0.3048
[ Info: [  4%] LOSS: training ≈ 0.2996
[ Info: [  5%] LOSS: training ≈ 0.2952
[ Info: [  6%] LOSS: training ≈ 0.2914
[ Info: [  6%] LOSS: training ≈ 0.2881
[ Info: [  6%] LOSS: training ≈ 0.2852
[ Info: [  7%] LOSS: training ≈ 0.2826
[ Info: [  8%] LOSS: training ≈ 0.2802
[ Info: [  8%] LOSS: training ≈ 0.2782
[ Info: [  8%] LOSS: training ≈ 0.2763
[ Info: [  9%] LOSS: training ≈ 0.2746
[ Info: [ 10%] LOSS: training ≈ 0.2731
[ Info: [ 10%] LOSS: training ≈ 0.2717
[ Info: [ 10%] LOSS: training ≈ 0.2704
[ Info: [ 11%] LOSS: training ≈ 0.2692
[ Info: [ 12%] LOSS: training ≈ 0.2681
[ Info: [ 12%] LOSS: training ≈ 0.2671
[ Info: [ 12%] LOSS: training ≈ 0.2662
[ Info: [ 13%] LOSS: training ≈ 0.2654
[ Info: [ 14%] LOSS: training ≈ 0.2646
[ Info: [ 14%] LOSS: training ≈ 0.2639
[ Info: [ 14%] LOSS: training ≈ 0.2632
[ Info: [ 15%] LOSS: training ≈ 0.2626
[ Info: [ 16%] LOSS: training ≈ 0.262 
[ Info: [ 16%] LOSS: training ≈ 0.2614
[ Info: [ 16%] LOSS: training ≈ 0.2609
[ Info: [ 17%] LOSS: training ≈ 0.2605
[ Info: [ 18%] LOSS: training ≈ 0.26  
[ Info: [ 18%] LOSS: training ≈ 0.2596
[ Info: [ 18%] LOSS: training ≈ 0.2592
[ Info: [ 19%] LOSS: training ≈ 0.2589
[ Info: [ 20%] LOSS: training ≈ 0.2585
[ Info: [ 20%] LOSS: training ≈ 0.2582
[ Info: [ 20%] LOSS: training ≈ 0.2579
[ Info: [ 21%] LOSS: training ≈ 0.2576
[ Info: [ 22%] LOSS: training ≈ 0.2573
[ Info: [ 22%] LOSS: training ≈ 0.2571
[ Info: [ 22%] LOSS: training ≈ 0.2568
[ Info: [ 23%] LOSS: training ≈ 0.2566
[ Info: [ 24%] LOSS: training ≈ 0.2564
[ Info: [ 24%] LOSS: training ≈ 0.2562
[ Info: [ 24%] LOSS: training ≈ 0.256 
[ Info: [ 25%] LOSS: training ≈ 0.2558
[ Info: [ 26%] LOSS: training ≈ 0.2557
[ Info: [ 26%] LOSS: training ≈ 0.2555
[ Info: [ 26%] LOSS: training ≈ 0.2554
[ Info: [ 27%] LOSS: training ≈ 0.2552
[ Info: [ 28%] LOSS: training ≈ 0.2551
[ Info: [ 28%] LOSS: training ≈ 0.255 
[ Info: [ 28%] LOSS: training ≈ 0.2548
[ Info: [ 29%] LOSS: training ≈ 0.2547
[ Info: [ 30%] LOSS: training ≈ 0.2546
[ Info: [ 30%] LOSS: training ≈ 0.2545
[ Info: [ 30%] LOSS: training ≈ 0.2544
[ Info: [ 31%] LOSS: training ≈ 0.2543
[ Info: [ 32%] LOSS: training ≈ 0.2542
[ Info: [ 32%] LOSS: training ≈ 0.2541
[ Info: [ 32%] LOSS: training ≈ 0.2541
[ Info: [ 33%] LOSS: training ≈ 0.254 
[ Info: [ 34%] LOSS: training ≈ 0.2539
[ Info: [ 34%] LOSS: training ≈ 0.2538
[ Info: [ 34%] LOSS: training ≈ 0.2538
[ Info: [ 35%] LOSS: training ≈ 0.2537
[ Info: [ 36%] LOSS: training ≈ 0.2536
[ Info: [ 36%] LOSS: training ≈ 0.2536
[ Info: [ 36%] LOSS: training ≈ 0.2535
[ Info: [ 37%] LOSS: training ≈ 0.2535
[ Info: [ 38%] LOSS: training ≈ 0.2534
[ Info: [ 38%] LOSS: training ≈ 0.2534
[ Info: [ 38%] LOSS: training ≈ 0.2533
[ Info: [ 39%] LOSS: training ≈ 0.2533
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 40%] LOSS: training ≈ 0.2532
[ Info: [ 41%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.2531
[ Info: [ 42%] LOSS: training ≈ 0.253 
[ Info: [ 43%] LOSS: training ≈ 0.253 
[ Info: [ 44%] LOSS: training ≈ 0.253 
[ Info: [ 44%] LOSS: training ≈ 0.2529
[ Info: [ 44%] LOSS: training ≈ 0.2529
[ Info: [ 45%] LOSS: training ≈ 0.2529
[ Info: [ 46%] LOSS: training ≈ 0.2529
[ Info: [ 46%] LOSS: training ≈ 0.2528
[ Info: [ 46%] LOSS: training ≈ 0.2528
[ Info: [ 47%] LOSS: training ≈ 0.2528
[ Info: [ 48%] LOSS: training ≈ 0.2528
[ Info: [ 48%] LOSS: training ≈ 0.2527
[ Info: [ 48%] LOSS: training ≈ 0.2527
[ Info: [ 49%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 50%] LOSS: training ≈ 0.2527
[ Info: [ 51%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 52%] LOSS: training ≈ 0.2526
[ Info: [ 53%] LOSS: training ≈ 0.2526
[ Info: [ 54%] LOSS: training ≈ 0.2526
[ Info: [ 54%] LOSS: training ≈ 0.2525
[ Info: [ 55%] LOSS: training ≈ 0.2525
[ Info: [ 55%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 56%] LOSS: training ≈ 0.2525
[ Info: [ 57%] LOSS: training ≈ 0.2525
[ Info: [ 57%] LOSS: training ≈ 0.2525
[ Info: [ 58%] LOSS: training ≈ 0.2525
[ Info: [ 58%] LOSS: training ≈ 0.2525
[ Info: [ 59%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 60%] LOSS: training ≈ 0.2524
[ Info: [ 61%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 62%] LOSS: training ≈ 0.2524
[ Info: [ 63%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 64%] LOSS: training ≈ 0.2524
[ Info: [ 65%] LOSS: training ≈ 0.2524
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 66%] LOSS: training ≈ 0.2523
[ Info: [ 67%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 68%] LOSS: training ≈ 0.2523
[ Info: [ 69%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 70%] LOSS: training ≈ 0.2523
[ Info: [ 71%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 72%] LOSS: training ≈ 0.2523
[ Info: [ 73%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 74%] LOSS: training ≈ 0.2523
[ Info: [ 75%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 76%] LOSS: training ≈ 0.2523
[ Info: [ 77%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2523
[ Info: [ 78%] LOSS: training ≈ 0.2522
[ Info: [ 79%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 80%] LOSS: training ≈ 0.2522
[ Info: [ 81%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 82%] LOSS: training ≈ 0.2522
[ Info: [ 83%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 84%] LOSS: training ≈ 0.2522
[ Info: [ 85%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 86%] LOSS: training ≈ 0.2522
[ Info: [ 87%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 88%] LOSS: training ≈ 0.2522
[ Info: [ 89%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 90%] LOSS: training ≈ 0.2522
[ Info: [ 91%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 92%] LOSS: training ≈ 0.2522
[ Info: [ 93%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 94%] LOSS: training ≈ 0.2522
[ Info: [ 95%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 96%] LOSS: training ≈ 0.2522
[ Info: [ 97%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 98%] LOSS: training ≈ 0.2522
[ Info: [ 99%] LOSS: training ≈ 0.2522
[ Info: [100%] LOSS: training ≈ 0.2522
[ Info: [100%] LOSS: training ≈ 0.2522
[ Info: [ 2 vars.] MCC val. ≈ -0.0
[ Info: [ 3 vars.] MCC val. ≈ 0.487
[ Info: Optimal var. pool: [1, 12, 2]
[ Info: [ 0 vars.] MCC val. ≈ -0.0
[ Info: [ 1 vars.] MCC val. ≈ 0.807
[ Info: [ 2 vars.] MCC val. ≈ 0.821
[ Info: Optimal var. pool: [1, 2]
[ Info: [19 vars.] MCC val. ≈ -0.0
[ Info: [18 vars.] MCC val. ≈ 0.636
[ Info: [17 vars.] MCC val. ≈ 0.814
[ Info: [16 vars.] MCC val. ≈ 0.835
[ Info: Optimal var. pool: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17, 18]
Test Summary: | Pass  Total     Time
Package       |  171    171  2m41.6s
     Testing SDeMo tests passed 

Testing completed after 208.21s

PkgEval succeeded after 258.16s