2021-10-11/17:39:41 		 *** Model Training started !! *** 
2021-10-11/17:39:42 		 Data load successful !! 
2021-10-11/17:39:42 		 Entered the remove_columns method of the Preprocessor class 
2021-10-11/17:39:42 		 Column removal successful !! 
2021-10-11/17:39:42 		 Entered the split_xy method of the Preprocessor class 
2021-10-11/17:39:42 		 Label, features separation successful !! 
2021-10-11/17:39:42 		 Entered the is_null_present method of the Preprocessor class 
2021-10-11/17:39:42 		 Missing values found and written to null_values.csv 
2021-10-11/17:39:42 		 Entered the impute_missing method of the Preprocessor class 
2021-10-11/17:39:42 		 Data imputation successful !! 
2021-10-11/17:39:42 		 Entered the cols_with_zero_standard_deviation method of the Preprocessor class 
2021-10-11/17:39:43 		 Columns with zero standard deviation found successfully !! 
2021-10-11/17:39:43 		 Entered the remove_columns method of the Preprocessor class 
2021-10-11/17:39:43 		 Column removal successful !! 
2021-10-11/17:39:43 		 Entered the elbow_plot method of the KMeansClustering class 
2021-10-11/17:39:45 		 Optimal clusters: 3. Elbow plot saved at directory: /Data_Preprocessing successfully !! 
2021-10-11/17:39:45 		 Entered the create_clusters method of the KMeansClustering class 
2021-10-11/17:39:45 		 Cluster information added to data successfully 
2021-10-11/17:39:45 		 Entered the save_model method of the FileOperations class 
2021-10-11/17:39:45 		 Model file saved successfully: KMeans 
2021-10-11/17:39:45 		 *** Model creation started !! *** 
2021-10-11/17:39:45 		 Building model for cluster 0 
2021-10-11/17:39:45 		 Entered the get_best_model method of the Model_Finder class 
2021-10-11/17:39:45 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-11/17:40:01 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-11/17:40:01 		 Random Forest model with best parameters fitted successfully !! 
2021-10-11/17:40:01 		 AUC score for Random Forest: 0.5 
2021-10-11/17:40:01 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-11/17:44:13 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-11/17:44:13 		 XGBoost model with best parameters fitted successfully !! 
2021-10-11/17:44:13 		 AUC score for XGBoost: 0.5 
2021-10-11/17:44:13 		 Time elapsed in finding model for cluster 0: 4.4683 mins 
2021-10-11/17:44:13 		 Best model for cluster 0 is: Random Forest 
2021-10-11/17:44:13 		 Entered the save_model method of the FileOperations class 
2021-10-11/17:44:13 		 Model file saved successfully: Random Forest0 
2021-10-11/17:44:13 		 Building model for cluster 2 
2021-10-11/17:44:13 		 Entered the get_best_model method of the Model_Finder class 
2021-10-11/17:44:13 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-11/17:44:25 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-11/17:44:25 		 Random Forest model with best parameters fitted successfully !! 
2021-10-11/17:44:25 		 Accuracy for Random Forest: 1.0 
2021-10-11/17:44:25 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-11/17:45:11 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 50} 
2021-10-11/17:45:12 		 XGBoost model with best parameters fitted successfully !! 
2021-10-11/17:45:12 		 Accuracy for XGBoost: 1.0 
2021-10-11/17:45:12 		 Time elapsed in finding model for cluster 2: 0.9735 mins 
2021-10-11/17:45:12 		 Best model for cluster 2 is: Random Forest 
2021-10-11/17:45:12 		 Entered the save_model method of the FileOperations class 
2021-10-11/17:45:12 		 Model file saved successfully: Random Forest2 
2021-10-11/17:45:12 		 Building model for cluster 1 
2021-10-11/17:45:12 		 Entered the get_best_model method of the Model_Finder class 
2021-10-11/17:45:12 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-11/17:45:25 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 50} 
2021-10-11/17:45:25 		 Random Forest model with best parameters fitted successfully !! 
2021-10-11/17:45:25 		 AUC score for Random Forest: 0.5 
2021-10-11/17:45:25 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-11/17:46:39 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-11/17:46:39 		 XGBoost model with best parameters fitted successfully !! 
2021-10-11/17:46:39 		 AUC score for XGBoost: 0.4921875 
2021-10-11/17:46:39 		 Time elapsed in finding model for cluster 1: 1.4529 mins 
2021-10-11/17:46:39 		 Best model for cluster 1 is: Random Forest 
2021-10-11/17:46:39 		 Entered the save_model method of the FileOperations class 
2021-10-11/17:46:39 		 Model file saved successfully: Random Forest1 
2021-10-11/17:46:39 		 *** Model training successful !! *** 
2021-10-13/07:13:10 		 *** Model Training started !! *** 
2021-10-13/07:13:10 		 Data load successful !! 
2021-10-13/07:13:10 		 Entered the remove_columns method of the Preprocessor class 
2021-10-13/07:13:10 		 Column removal successful !! 
2021-10-13/07:13:10 		 Entered the split_xy method of the Preprocessor class 
2021-10-13/07:13:10 		 Label, features separation successful !! 
2021-10-13/07:13:10 		 Entered the is_null_present method of the Preprocessor class 
2021-10-13/07:13:10 		 Missing values found and written to null_values.csv 
2021-10-13/07:13:10 		 Entered the impute_missing method of the Preprocessor class 
2021-10-13/07:13:11 		 Data imputation successful !! 
2021-10-13/07:13:11 		 Entered the cols_with_zero_standard_deviation method of the Preprocessor class 
2021-10-13/07:13:12 		 Columns with zero standard deviation found successfully !! 
2021-10-13/07:13:12 		 Entered the remove_columns method of the Preprocessor class 
2021-10-13/07:13:12 		 Column removal successful !! 
2021-10-13/07:13:12 		 Entered the elbow_plot method of the KMeansClustering class 
2021-10-13/07:13:14 		 Optimal clusters: 3. Elbow plot saved at directory: /Data_Preprocessing successfully !! 
2021-10-13/07:13:14 		 Entered the create_clusters method of the KMeansClustering class 
2021-10-13/07:13:14 		 Cluster information added to data successfully 
2021-10-13/07:13:14 		 Entered the save_model method of the FileOperations class 
2021-10-13/07:13:14 		 Model file saved successfully: KMeans 
2021-10-13/07:13:14 		 *** Model creation started !! *** 
2021-10-13/07:13:14 		 Building model for cluster 0 
2021-10-13/07:13:14 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/07:13:14 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/07:13:31 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/07:13:31 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/07:13:31 		 AUC score for Random Forest: 0.5 
2021-10-13/07:13:31 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/07:17:53 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-13/07:17:53 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/07:17:53 		 AUC score for XGBoost: 0.5 
2021-10-13/07:17:53 		 Time elapsed in finding the best model for cluster 0: 4.64 mins 
2021-10-13/07:17:53 		 Best model for cluster 0 is: Random Forest 
2021-10-13/07:17:53 		 Entered the save_model method of the FileOperations class 
2021-10-13/07:17:53 		 Model file saved successfully: Random Forest0 
2021-10-13/07:17:53 		 Building model for cluster 2 
2021-10-13/07:17:53 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/07:17:53 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/07:18:05 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/07:18:05 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/07:18:05 		 Accuracy for Random Forest: 1.0 
2021-10-13/07:18:05 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/07:18:53 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 50} 
2021-10-13/07:18:53 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/07:18:53 		 Accuracy for XGBoost: 1.0 
2021-10-13/07:18:53 		 Time elapsed in finding the best model for cluster 2: 1.01 mins 
2021-10-13/07:18:53 		 Best model for cluster 2 is: Random Forest 
2021-10-13/07:18:53 		 Entered the save_model method of the FileOperations class 
2021-10-13/07:18:53 		 Model file saved successfully: Random Forest2 
2021-10-13/07:18:53 		 Building model for cluster 1 
2021-10-13/07:18:53 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/07:18:53 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/07:19:07 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 3, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/07:19:07 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/07:19:07 		 AUC score for Random Forest: 0.4921875 
2021-10-13/07:19:07 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/07:20:24 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-13/07:20:24 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/07:20:24 		 AUC score for XGBoost: 0.4921875 
2021-10-13/07:20:24 		 Time elapsed in finding the best model for cluster 1: 1.51 mins 
2021-10-13/07:20:24 		 Best model for cluster 1 is: Random Forest 
2021-10-13/07:20:24 		 Entered the save_model method of the FileOperations class 
2021-10-13/07:20:24 		 Model file saved successfully: Random Forest1 
2021-10-13/07:20:24 		 *** Model training successful !! *** 
2021-10-13/20:29:30 		 *** Model Training started !! *** 
2021-10-13/20:29:30 		 Data load successful !! 
2021-10-13/20:29:30 		 Entered the remove_columns method of the Preprocessor class 
2021-10-13/20:29:30 		 Column removal successful !! 
2021-10-13/20:29:30 		 Entered the split_xy method of the Preprocessor class 
2021-10-13/20:29:30 		 Label, features separation successful !! 
2021-10-13/20:29:30 		 Entered the is_null_present method of the Preprocessor class 
2021-10-13/20:29:30 		 Missing values found and written to null_values.csv 
2021-10-13/20:29:30 		 Entered the impute_missing method of the Preprocessor class 
2021-10-13/20:29:30 		 Data imputation successful !! 
2021-10-13/20:29:30 		 Entered the cols_with_zero_standard_deviation method of the Preprocessor class 
2021-10-13/20:29:31 		 Columns with zero standard deviation found successfully !! 
2021-10-13/20:29:31 		 Entered the remove_columns method of the Preprocessor class 
2021-10-13/20:29:31 		 Column removal successful !! 
2021-10-13/20:29:32 		 Entered the elbow_plot method of the KMeansClustering class 
2021-10-13/20:29:33 		 Optimal clusters: 3. Elbow plot saved at directory: /Data_Preprocessing successfully !! 
2021-10-13/20:29:33 		 Entered the create_clusters method of the KMeansClustering class 
2021-10-13/20:29:33 		 Cluster information added to data successfully 
2021-10-13/20:29:33 		 Entered the save_model method of the FileOperations class 
2021-10-13/20:29:33 		 Model file saved successfully: KMeans 
2021-10-13/20:29:33 		 *** Model creation started !! *** 
2021-10-13/20:29:33 		 Building model for cluster 0 
2021-10-13/20:29:33 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/20:29:33 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/20:29:51 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/20:29:51 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/20:29:51 		 AUC score for Random Forest: 0.5 
2021-10-13/20:29:51 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/20:34:21 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-13/20:34:21 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/20:34:21 		 AUC score for XGBoost: 0.5 
2021-10-13/20:34:21 		 Time elapsed in finding the best model for cluster 0: 4.80 mins 
2021-10-13/20:34:21 		 Best model for cluster 0 is: Random Forest 
2021-10-13/20:34:21 		 Entered the save_model method of the FileOperations class 
2021-10-13/20:34:21 		 Model file saved successfully: Random Forest0 
2021-10-13/20:34:21 		 Building model for cluster 2 
2021-10-13/20:34:21 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/20:34:21 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/20:34:35 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/20:34:35 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/20:34:35 		 Accuracy for Random Forest: 1.0 
2021-10-13/20:34:35 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/20:35:26 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 50} 
2021-10-13/20:35:26 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/20:35:26 		 Accuracy for XGBoost: 1.0 
2021-10-13/20:35:26 		 Time elapsed in finding the best model for cluster 2: 1.08 mins 
2021-10-13/20:35:26 		 Best model for cluster 2 is: Random Forest 
2021-10-13/20:35:26 		 Entered the save_model method of the FileOperations class 
2021-10-13/20:35:26 		 Model file saved successfully: Random Forest2 
2021-10-13/20:35:26 		 Building model for cluster 1 
2021-10-13/20:35:26 		 Entered the get_best_model method of the Model_Finder class 
2021-10-13/20:35:26 		 Entered the get_best_param_random_forest method of the Model_Finder class 
2021-10-13/20:35:41 		 Best Random Forest model parameters: {'criterion': 'gini', 'max_depth': 3, 'max_features': 'auto', 'n_estimators': 10} 
2021-10-13/20:35:41 		 Random Forest model with best parameters fitted successfully !! 
2021-10-13/20:35:41 		 AUC score for Random Forest: 0.5 
2021-10-13/20:35:41 		 Entered the get_best_param_xgboost method of the Model_Finder class 
2021-10-13/20:37:02 		 Best XGBoost model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 10} 
2021-10-13/20:37:02 		 XGBoost model with best parameters fitted successfully !! 
2021-10-13/20:37:02 		 AUC score for XGBoost: 0.4921875 
2021-10-13/20:37:02 		 Time elapsed in finding the best model for cluster 1: 1.59 mins 
2021-10-13/20:37:02 		 Best model for cluster 1 is: Random Forest 
2021-10-13/20:37:02 		 Entered the save_model method of the FileOperations class 
2021-10-13/20:37:02 		 Model file saved successfully: Random Forest1 
2021-10-13/20:37:02 		 *** Model training successful !! ***