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deep_learning_results.json

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+{
+  "Deep MLP (512-256-128-64)": {
+    "accuracy": 0.8849,
+    "precision": 0.841,
+    "recall": 0.879,
+    "f1": 0.8596,
+    "roc_auc": 0.9537,
+    "fold_aucs": [
+      0.9582,
+      0.9557,
+      0.9508,
+      0.9492,
+      0.9571
+    ],
+    "train_time_sec": 81.4,
+    "type": "deep_learning",
+    "model_path": "models\\model_dl_deep_mlp_512_256_128_64.pkl"
+  },
+  "1D-CNN": {
+    "accuracy": 0.7665,
+    "precision": 0.6987,
+    "recall": 0.7339,
+    "f1": 0.7159,
+    "roc_auc": 0.8442,
+    "fold_aucs": [
+      0.8583,
+      0.8645,
+      0.8589,
+      0.8394,
+      0.8502
+    ],
+    "train_time_sec": 125.0,
+    "type": "deep_learning",
+    "model_path": "models\\model_dl_1d_cnn.pkl"
+  },
+  "Residual MLP (3 blocks)": {
+    "accuracy": 0.8756,
+    "precision": 0.833,
+    "recall": 0.8626,
+    "f1": 0.8476,
+    "roc_auc": 0.9453,
+    "fold_aucs": [
+      0.9523,
+      0.9491,
+      0.9473,
+      0.9407,
+      0.9531
+    ],
+    "train_time_sec": 128.7,
+    "type": "deep_learning",
+    "model_path": "models\\model_dl_residual_mlp_3_blocks.pkl"
+  },
+  "Attention MLP": {
+    "accuracy": 0.8628,
+    "precision": 0.8267,
+    "recall": 0.8319,
+    "f1": 0.8293,
+    "roc_auc": 0.9356,
+    "fold_aucs": [
+      0.9318,
+      0.9461,
+      0.9379,
+      0.932,
+      0.9316
+    ],
+    "train_time_sec": 149.6,
+    "type": "deep_learning",
+    "model_path": "models\\model_dl_attention_mlp.pkl"
+  }
+}