{ "svm": { "best_params": { "C": 1, "class_weight": "balanced", "gamma": "scale", "kernel": "rbf" }, "cv_results": { "accuracy": 0.41, "f1_macro": 0.2977777777777778, "roc_auc_ovr": 0.4 }, "test_accuracy": 0.3333333333333333, "classification_report": " precision recall f1-score support\n\n 0.0 0.25 0.50 0.33 2\n 1.0 1.00 0.50 0.67 2\n 2.0 0.00 0.00 0.00 2\n\n accuracy 0.33 6\n macro avg 0.42 0.33 0.33 6\nweighted avg 0.42 0.33 0.33 6\n", "roc_auc": 0.5, "confusion_matrix": [ [ 1, 0, 1 ], [ 1, 1, 0 ], [ 2, 0, 0 ] ] }, "random_forest": { "best_params": { "class_weight": "balanced", "max_depth": 10, "min_samples_split": 10, "n_estimators": 300 }, "cv_results": { "accuracy": 0.42000000000000004, "f1_macro": 0.36222222222222217, "roc_auc_ovr": 0.49444444444444446 }, "test_accuracy": 0.27777777777777773, "classification_report": " precision recall f1-score support\n\n 0.0 0.25 0.50 0.33 2\n 1.0 0.50 0.50 0.50 2\n 2.0 0.00 0.00 0.00 2\n\n accuracy 0.33 6\n macro avg 0.25 0.33 0.28 6\nweighted avg 0.25 0.33 0.28 6\n", "roc_auc": 0.20833333333333334, "confusion_matrix": [ [ 1, 1, 0 ], [ 1, 1, 0 ], [ 2, 0, 0 ] ] }, "xgboost": { "best_params": { "colsample_bytree": 1.0, "learning_rate": 0.01, "max_depth": 3, "min_child_weight": 1, "n_estimators": 300, "subsample": 1.0 }, "cv_results": { "accuracy": 0.42000000000000004, "f1_macro": 0.3822222222222222, "roc_auc_ovr": 0.4333333333333334 }, "test_accuracy": 0.27777777777777773, "classification_report": " precision recall f1-score support\n\n 0.0 0.25 0.50 0.33 2\n 1.0 0.50 0.50 0.50 2\n 2.0 0.00 0.00 0.00 2\n\n accuracy 0.33 6\n macro avg 0.25 0.33 0.28 6\nweighted avg 0.25 0.33 0.28 6\n", "roc_auc": 0.4166666666666667, "confusion_matrix": [ [ 1, 1, 0 ], [ 1, 1, 0 ], [ 2, 0, 0 ] ] } }