[e6e569]: / XGBClassification / output / output2.csv

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# mean_fit_time std_fit_time mean_score_time std_score_time param_gamma param_learning_rate param_max_bin param_max_depth param_max_leaves param_min_child_weight param_n_estimators param_num_parallel_tree param_scale_pos_weight params split0_test_f1 split1_test_f1 split2_test_f1 split3_test_f1 split4_test_f1 mean_test_f1 std_test_f1 rank_test_f1 split0_train_f1 split1_train_f1 split2_train_f1 split3_train_f1 split4_train_f1 mean_train_f1 std_train_f1 split0_test_recall split1_test_recall split2_test_recall split3_test_recall split4_test_recall mean_test_recall std_test_recall rank_test_recall split0_train_recall split1_train_recall split2_train_recall split3_train_recall split4_train_recall mean_train_recall std_train_recall split0_test_specificity split1_test_specificity split2_test_specificity split3_test_specificity split4_test_specificity mean_test_specificity std_test_specificity rank_test_specificity split0_train_specificity split1_train_specificity split2_train_specificity split3_train_specificity split4_train_specificity mean_train_specificity std_train_specificity split0_test_precision split1_test_precision split2_test_precision split3_test_precision split4_test_precision mean_test_precision std_test_precision rank_test_precision split0_train_precision split1_train_precision split2_train_precision split3_train_precision split4_train_precision mean_train_precision std_train_precision split0_test_balanced_accuracy_score split1_test_balanced_accuracy_score split2_test_balanced_accuracy_score split3_test_balanced_accuracy_score split4_test_balanced_accuracy_score mean_test_balanced_accuracy_score std_test_balanced_accuracy_score rank_test_balanced_accuracy_score split0_train_balanced_accuracy_score split1_train_balanced_accuracy_score split2_train_balanced_accuracy_score split3_train_balanced_accuracy_score split4_train_balanced_accuracy_score mean_train_balanced_accuracy_score std_train_balanced_accuracy_score
1 0 0.013195085525512695 0.0008524282976318491 0.014721298217773437 0.000314243378783869 0.0 0.2 2 1 1 0.0 30 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 30, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
2 1 0.016179466247558595 0.00043555300517262614 0.014878606796264649 0.0005563437256364825 0.0 0.2 2 1 1 0.0 30 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 30, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
3 2 0.019155502319335938 0.00035307748607954866 0.015061187744140624 0.0004028594055592087 0.0 0.2 2 1 1 0.0 50 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 50, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
4 3 0.016323184967041014 0.002373724333217486 0.014008092880249023 0.0009446979964245823 0.0 0.2 2 1 1 0.0 50 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 50, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
5 4 0.020310020446777342 0.0008947734427991966 0.015049123764038086 0.000533154878417916 0.0 0.2 2 1 1 0.0 70 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 70, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
6 5 0.021784162521362303 0.0006253543190288034 0.014800310134887695 0.0004272420225204907 0.0 0.2 2 1 1 0.0 70 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 70, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
7 6 0.023179292678833008 0.0025492497018989816 0.015495014190673829 0.000993132771828653 0.0 0.2 2 1 1 0.0 75 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 75, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
8 7 0.023099708557128906 0.0008353220407968308 0.015119838714599609 0.0007451032838447586 0.0 0.2 2 1 1 0.0 75 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 75, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
9 8 0.023328590393066406 0.0008463751483280962 0.015187597274780274 0.0006639818416078571 0.0 0.2 2 1 1 0.0 80 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 80, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
10 9 0.02302417755126953 0.0005018271633126416 0.015257883071899413 0.0007164547629504937 0.0 0.2 2 1 1 0.0 80 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 80, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
11 10 0.025416040420532228 0.0022890268250738543 0.01485142707824707 0.00048217712606771944 0.0 0.2 2 1 1 0.0 100 1 3.8 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 100, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
12 11 0.02583446502685547 0.0005937033106695327 0.015935611724853516 0.0010741918788909955 0.0 0.2 2 1 1 0.0 100 1 4.5 {'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 1, 'max_leaves': 1, 'min_child_weight': 0, 'n_estimators': 100, 'num_parallel_tree': 1, 'scale_pos_weight': 4.5} 0.358974358974359 0.34210526315789475 0.34210526315789475 0.34210526315789475 0.36363636363636365 0.3497853024168814 0.009520920820814502 34561 0.3475409836065574 0.3517915309446254 0.3517915309446254 0.3517915309446254 0.3464052287581699 0.3498641610397207 0.002387703087291649 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 34561 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.21875 0.20634920634920634 0.20634920634920634 0.20634920634920634 0.2222222222222222 0.21200396825396828 0.007012141685346149 34561 0.21031746031746032 0.2134387351778656 0.2134387351778656 0.2134387351778656 0.20948616600790515 0.2120239663717925 0.0017525584683160604 0.5 0.5 0.5 0.5 0.5 0.5 0.0 34561 0.5 0.5 0.5 0.5 0.5 0.5 0.0
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