Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

A Python Package that computes Target Permutation Importances (Null Importances) of a machine learning model.

Grouped version of permutation importance

Hitting vs Pitching vs Fielding vs Baserunning (Feature Importance)