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experiment_results.json

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+{
+    "best_params": {
+        "max_depth": null,
+        "min_samples_split": 2,
+        "n_estimators": 200
+    },
+    "best_cv_accuracy": 0.9036932104708202,
+    "test_accuracy": 0.9285714285714286,
+    "classification_report": "              precision    recall  f1-score   support\n\n           0       0.92      0.99      0.96       661\n           1       0.96      0.67      0.79       165\n\n    accuracy                           0.93       826\n   macro avg       0.94      0.83      0.87       826\nweighted avg       0.93      0.93      0.92       826\n"
+}