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Upload tuning_results_summary.json with huggingface_hub

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  1. tuning_results_summary.json +14 -14
tuning_results_summary.json CHANGED
@@ -4,12 +4,12 @@
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  "clf__max_depth": null,
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  "clf__min_samples_split": 2
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  },
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- "cv_best_score": 0.6300000794885706,
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  "test_metrics": {
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  "accuracy": 0.8966376089663761,
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  "precision": 0.7608695652173914,
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  "recall": 0.6774193548387096,
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- "f1": 0.7167235494880546
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  }
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  },
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  "Bagging": {
@@ -22,7 +22,7 @@
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  "accuracy": 0.9227895392278954,
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  "precision": 0.8907563025210085,
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  "recall": 0.6838709677419355,
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- "f1": 0.7737226277372263
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  }
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  },
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  "RandomForest": {
@@ -41,14 +41,14 @@
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  "AdaBoost": {
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  "best_params": {
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  "clf__learning_rate": 1.0,
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- "clf__n_estimators": 100
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  },
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- "cv_best_score": 0.4178664384287583,
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  "test_metrics": {
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- "accuracy": 0.8393524283935243,
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- "precision": 0.76,
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- "recall": 0.24516129032258063,
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- "f1": 0.37073170731707317
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  }
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  },
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  "GradientBoosting": {
@@ -70,12 +70,12 @@
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  "clf__max_depth": 6,
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  "clf__n_estimators": 100
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  },
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- "cv_best_score": 0.7225232063219393,
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  "test_metrics": {
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- "accuracy": 0.9153175591531756,
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- "precision": 0.7735849056603774,
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- "recall": 0.7935483870967742,
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- "f1": 0.7834394904458599
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  }
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  }
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  }
 
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  "clf__max_depth": null,
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  "clf__min_samples_split": 2
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  },
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+ "cv_best_score": 0.6300000794885704,
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  "test_metrics": {
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  "accuracy": 0.8966376089663761,
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  "precision": 0.7608695652173914,
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  "recall": 0.6774193548387096,
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+ "f1": 0.7167235494880545
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  }
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  },
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  "Bagging": {
 
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  "accuracy": 0.9227895392278954,
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  "precision": 0.8907563025210085,
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  "recall": 0.6838709677419355,
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+ "f1": 0.7737226277372262
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  }
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  },
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  "RandomForest": {
 
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  "AdaBoost": {
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  "best_params": {
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  "clf__learning_rate": 1.0,
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+ "clf__n_estimators": 50
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  },
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+ "cv_best_score": 0.4779972612213404,
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  "test_metrics": {
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+ "accuracy": 0.825653798256538,
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+ "precision": 0.6027397260273972,
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+ "recall": 0.2838709677419355,
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+ "f1": 0.38596491228070173
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  }
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  },
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  "GradientBoosting": {
 
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  "clf__max_depth": 6,
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  "clf__n_estimators": 100
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  },
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+ "cv_best_score": 0.7289349713719079,
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  "test_metrics": {
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+ "accuracy": 0.9041095890410958,
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+ "precision": 0.74375,
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+ "recall": 0.7677419354838709,
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+ "f1": 0.7555555555555556
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  }
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  }
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  }