Explainer (Recipes) Expert Settings

The following is a list of the explainer expert settings that are available when setting up a new interpretation. These settings can be accessed when running interpretaion from the MLI page under recipes tab.

• Disparate Impact Analysis Explainer Settings

• Partial Dependence Plot Explainer Settings

• Shapley Summary Plot Explainer Settings

• Surrogate Decision Tree Explainer Settings

Disparate Impact Analysis Explainer Settings

For details on Disparate Impact Analysis in Driverless see. Following are the parameters that can be toggled from the recipes tab of the MLI page when running a new interpretation.

dia_cols

List of Features for Which to Compute DIA

Specify a list of specific features for which to compute DIA.

cut_off

Cut Off

Specify a cut off when performing DIA.

maximize_metric

Maximize Metric

Specify a metric to use when computing DIA. Choose from the following:

• F1

• F05

• F2

• MCC

use_holdout_preds

Use Internal Holdout Predictions

Specify whether to use internal holdout predictions when computing DIA. This is enabled by default.

Partial Dependence Plot Explainer Settings

For details on Partial Dependence Plot in Driverless see. Following are the parameters that can be toggled from the recipes tab of the MLI page when running a new interpretation.

max_features

Partial Dependence Plot Number of Features

Specify the number of features that can be viewed on the partial dependence plot. By default, this is set to 10. To view all features, set this value to -1.

features

Partial Dependence Plot Feature List

Specify a list of features for the partial dependence plot.

oor_grid_resolution

PDP Number of Out of Range Bins

Specify the number of out of range bins for the partial dependence plot. By default, this is set to 0.

quantile-bins

PDP Quantile Binning

Specify the total quantile points used to create bins. By default, this is set to 0.

grid_resolution

PDP Observations Per Bin

Specify the number of equally spaced points used to create bins. By default, this is set to 20.

center

Center PDP Using ICE Centered at 0

Specify whether center the partial dependence plot using ICE centered at 0. This is disabled by default.

sort_bins

Ensure Bin Values Sorting

Specify whether to ensure bin values sorting. This is enabled by default.

histograms

Enable Histograms

Specify whether to enable histograms for the partial dependence plot. This is disabled by default.

quantile-bins

Per-Feature Quantile Binning

Specify per-feature quantile binning. For example, if you select features F1 and F2, this parameter can be specified as '{"F1": 2,"F2": 5}'.

Note: You can set all features to use the same quantile binning with the quantile-bins parameter and then adjust the quantile binning for a subset of PDP features with this parameter.

one_frame_strategy_enable

Enable PDP Calculation Optimization

Specify whether to enable PDP calculation optimization, which minimizes the number of predictions by combining per-bin frames together. By default, this is set to ‘Auto’.

Shapley Summary Plot Explainer Settings

For details on Shapley Summary Plot in Driverless see. Following are the parameters that can be toggled from the recipes tab of the MLI page when running a new interpretation.

max_features

Maximum Number of Features to be Shown

Specify the maximum number of features that are shown in the plot. By default, this value is set to 50.

sample_size

Sample Size

Specify the sample size for the plot. By default, this value is set to 20000.

x_shapley_resolution

X-Axis Resolution

Specify the number of Shapley value bins. By default, this value is set to 500.

enable_drilldown_charts

Enable Creation of Per-Feature Shapley / Feature Value Scatter Plots

Specify whether to enable the creation of per-feature Shapley or feature value scatter plots. This is enabled by default.

Surrogate Decision Tree Explainer Settings

For details on Surrogate Decision Tree Plot in Driverless see. Following are the parameters that can be toggled from the recipes tab of the MLI page when running a new interpretation.

dt_tree_depth

Decision Tree Depth

Specify the depth of the decision tree. By default, this value is set to 3.

nfolds

Number of CV Folds

Specify the number of CV folds to use. By default, this value is set to 0.

qbin_cols

Quantile Binning Columns

Specify quantile binning columns.

qbin_count

Quantile Bins Count

Specify the number of quantile bins. By default, this value is set to 0.