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test_results.json

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+{
+  "accuracy": 99.90013315579228,
+  "precision": 99.93328885923948,
+  "recall": 99.86666666666667,
+  "f1": 99.89996665555185,
+  "auc_roc": 0.9999991134751773,
+  "average_precision": 0.99999911140721,
+  "confusion_matrix": [
+    [
+      1503,
+      1
+    ],
+    [
+      2,
+      1498
+    ]
+  ],
+  "classification_report": "              precision    recall  f1-score   support\n\n        Real       1.00      1.00      1.00      1504\n        Fake       1.00      1.00      1.00      1500\n\n    accuracy                           1.00      3004\n   macro avg       1.00      1.00      1.00      3004\nweighted avg       1.00      1.00      1.00      3004\n"
+}