{
    "svm": {
        "best_params": {
            "C": 1,
            "class_weight": "balanced",
            "gamma": "scale",
            "kernel": "rbf"
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            "accuracy": 0.41,
            "f1_macro": 0.2977777777777778,
            "roc_auc_ovr": 0.4
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        "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,
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                0
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            [
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        ]
    }
}