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experiment_logs.json

@@ -1,25 +1,25 @@
 [
     {
-        "timestamp": "2025-12-13 22:55:15",
+        "timestamp": "2025-12-14 00:12:55",
         "model_name": "Decision Tree",
         "parameters": {
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-            "min_samples_leaf": 2,
-            "min_samples_split": 10
+            "criterion": "gini",
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+            "min_samples_split": 2
         },
         "metrics": {
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     {
-        "timestamp": "2025-12-13 22:55:56",
+        "timestamp": "2025-12-14 00:13:37",
         "model_name": "Random Forest",
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@@ -31,15 +31,15 @@
         "metrics": {
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     {
-        "timestamp": "2025-12-13 22:55:59",
+        "timestamp": "2025-12-14 00:13:39",
         "model_name": "AdaBoost",
         "parameters": {
             "algorithm": "SAMME.R",
@@ -47,41 +47,41 @@
             "n_estimators": 100
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     {
-        "timestamp": "2025-12-13 22:56:49",
+        "timestamp": "2025-12-14 00:14:29",
         "model_name": "Gradient Boosting",
         "parameters": {
             "learning_rate": 0.2,
             "max_depth": 7,
-            "min_samples_leaf": 1,
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     {
-        "timestamp": "2025-12-13 22:56:53",
+        "timestamp": "2025-12-14 00:14:33",
         "model_name": "XGBoost",
         "parameters": {
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@@ -91,15 +91,15 @@
         "metrics": {
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     {
-        "timestamp": "2025-12-13 22:57:01",
+        "timestamp": "2025-12-14 00:14:41",
         "model_name": "Bagging",
         "parameters": {
             "max_features": 0.7,
@@ -108,12 +108,12 @@
         },
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 ]