engine-predictive-maintenance-model / experiment_tracking_log.csv
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Model,Best_Parameters,CV_Best_F1,Test_Accuracy,Test_Precision,Test_Recall,Test_F1
AdaBoost,"{'learning_rate': 0.05, 'n_estimators': 100}",0.7752,0.6304,0.6304,1.0,0.7733
Gradient Boosting,"{'learning_rate': 0.05, 'max_depth': 2, 'n_estimators': 100, 'subsample': 0.8}",0.7684,0.6642,0.6857,0.8628,0.7641
Random Forest,"{'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 10, 'n_estimators': 100}",0.7625,0.665,0.6904,0.8494,0.7617
Decision Tree,"{'criterion': 'gini', 'max_depth': 5, 'min_samples_leaf': 1, 'min_samples_split': 2}",0.7603,0.6598,0.6895,0.8376,0.7564