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metrics.json

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+{
+  "best_model": "gradient_boosting",
+  "best_f1": 0.6904532304725168,
+  "all_results": {
+    "logistic_regression": {
+      "accuracy": 0.8177056050288108,
+      "f1": 0.6813186813186813,
+      "precision": 0.6262626262626263,
+      "recall": 0.7469879518072289,
+      "roc_auc": 0.866869319944555
+    },
+    "svm_rbf": {
+      "accuracy": 0.7920377160817181,
+      "f1": 0.6811244979919678,
+      "precision": 0.5676037483266398,
+      "recall": 0.8514056224899599,
+      "roc_auc": 0.8745115116739106
+    },
+    "knn": {
+      "accuracy": 0.8030382399161865,
+      "f1": 0.6091476091476091,
+      "precision": 0.6314655172413793,
+      "recall": 0.5883534136546185,
+      "roc_auc": 0.8431884874722135
+    },
+    "random_forest": {
+      "accuracy": 0.7988475641697224,
+      "f1": 0.5974842767295597,
+      "precision": 0.625,
+      "recall": 0.572289156626506,
+      "roc_auc": 0.845147421720902
+    },
+    "gradient_boosting": {
+      "accuracy": 0.8318491356731272,
+      "f1": 0.6904532304725168,
+      "precision": 0.6641929499072357,
+      "recall": 0.7188755020080321,
+      "roc_auc": 0.8748779668639121
+    }
+  }
+}