5. Visualizations
- import matplotlib.pyplot as plt
- rfc = RandomForestClassifier(random_state=42)
- rfc.fit(X_train, y_train)
- rfc_disp = plot_roc_curve(rfc, X_test, y_test, ax=ax, alpha=0.8)
- svc_disp.plot(ax=ax, alpha=0.8)
Examples:
5.1.2. Display Objects
inspection.PartialDependenceDisplay (…) | Partial Dependence Plot (PDP) visualization. |
(…) | Confusion Matrix visualization. |
(precision, …) | Precision Recall visualization. |
(fpr, tpr, roc_auc, …) | ROC Curve visualization. |