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: {roc_auc_score(y_true=y_val, y_score=model.predict(X_val)):.2f}") print(f"ROC-AUC for test set : {roc_auc_score(y_true=y_test, y_score=model.predict(X_test)):.2f}") ROC-AUC for train set : 0.612 ROC-AUC for validation set : 0.586 ROC-AUC for test set : 0.622 To be honest, 0.62 AUC is not great at