5. Visualizations

    1. import matplotlib.pyplot as plt
    2.  
    3. rfc = RandomForestClassifier(random_state=42)
    4. rfc.fit(X_train, y_train)
    5.  
    6. rfc_disp = plot_roc_curve(rfc, X_test, y_test, ax=ax, alpha=0.8)
    7. svc_disp.plot(ax=ax, alpha=0.8)

    _images/sphx_glr_plot_roc_curve_visualization_api_002.png

    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.