★ 37 · Updated 2026-10-12
Provides evaluation metrics and visualization charts for sklearn-compatible machine learning models, including classification, probability, error, time-series, and regression analysis.
Browse skills that use this input.
★ 37 · Updated 2026-10-12
Provides evaluation metrics and visualization charts for sklearn-compatible machine learning models, including classification, probability, error, time-series, and regression analysis.
★ 1 · Updated 2026-10-04
Compute SHAP values, visualize feature importance, explain predictions, debug models, compare models, and analyze bias or fairness across supported model types.