Results for bayesian search

.gitignore

 models/*
+results/*
 
 */.kile/*
 *.kilepr

experiments/20newsgroups_vectorized/stage1/params.json

+{
+    "scorer": "accuracy",
+    "best_score_train": 0.7953125,
+    "best_score_test": 0.7909854175872735,
+    "best_parameters": {
+        "max_depth": 20,
+        "max_features": "sqrt",
+        "min_samples_leaf": 1,
+        "n_estimators": 809
+    },
+    "random_seed": 1763
+}
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experiments/boston/stage1/params.json

+{
+    "scorer": "neg_mean_squared_error",
+    "best_score_train": -11.238253315624897,
+    "best_score_test": -7.312532120669678,
+    "best_parameters": {
+        "max_depth": 20,
+        "max_features": "auto",
+        "min_samples_leaf": 1,
+        "n_estimators": 1000
+    },
+    "random_seed": 289
+}
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experiments/breast_cancer/stage1/params.json

+{
+    "scorer": "accuracy",
+    "best_score_train": 0.96,
+    "best_score_test": 0.956140350877193,
+    "best_parameters": {
+        "max_depth": 20,
+        "max_features": "sqrt",
+        "min_samples_leaf": 1,
+        "n_estimators": 1000
+    }
+}
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experiments/diabetes/stage1/params.json

+{
+    "scorer": "neg_mean_squared_error",
+    "best_score_train": -3380.975223665973,
+    "best_score_test": -2604.589761961369,
+    "best_parameters": {
+        "max_depth": 17,
+        "max_features": "auto",
+        "min_samples_leaf": 10,
+        "n_estimators": 804
+    },
+    "random_seed": 1679
+}
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experiments/digits/stage1/params.json

+{
+    "scorer": "accuracy",
+    "best_score_train": 0.9767932489451476,
+    "best_score_test": 0.9861111111111112,
+    "best_parameters": {
+        "max_depth": 16,
+        "max_features": "sqrt",
+        "min_samples_leaf": 1,
+        "n_estimators": 1000
+    },
+    "random_seed": 1679
+}
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experiments/linnerud/stage1/params.json

+{
+    "scorer": "neg_mean_squared_error",
+    "best_score_train": -268.00052987557854,
+    "best_score_test": -206.18071759259263,
+    "best_parameters": {
+        "max_depth": 3,
+        "max_features": "sqrt",
+        "min_samples_leaf": 232,
+        "n_estimators": 16
+    },
+    "random_seed": 1679
+}
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experiments/wine/stage1/params.json

+{
+    "scorer": "accuracy",
+    "best_score_train": 0.9857142857142858,
+    "best_score_test": 0.9722222222222222,
+    "best_parameters": {
+        "max_depth": 20,
+        "max_features": "log2",
+        "min_samples_leaf": 1,
+        "n_estimators": 1000
+    },
+    "random_seed": 1679
+}
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