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#		mean_fit_time	std_fit_time	mean_score_time	std_score_time	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	0.02213320732116699	0.0040500299896800126	0.026336193084716797	0.0014651039694583313	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	0.028719997406005858	0.0013565796211736385	0.024719858169555665	0.0015704945333399416	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	0.03456521034240723	0.001070054212313512	0.028445053100585937	0.002264819227078754	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	0.025560712814331053	0.005478403982224568	0.024126338958740234	0.0035296287001874717	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	0.029618167877197267	0.002396261004325069	0.023424816131591798	0.0010161678801761539	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	0.03452601432800293	0.0024008254876642693	0.023677349090576172	0.0013758446293232955	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	0.04069509506225586	0.005133937353040939	0.02824883460998535	0.0022183337249794843	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	0.04990835189819336	0.00642214089778465	0.028427886962890624	0.00296677380080428	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	0.04709811210632324	0.0073591990612565175	0.023941421508789064	0.0021460668015616693	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	0.04637913703918457	0.003256268721510868	0.0249359130859375	0.0008326642551569814	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	0.04890751838684082	0.003230328937851033	0.03331923484802246	0.003936690157745422	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	0.04980745315551758	0.00426600455247498	0.03042259216308594	0.0035855097513582436	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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