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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	0.013912010192871093	0.0021275299955503487	0.012961149215698242	0.0019752115744142485	0	0.2	2	2	3	1	30	1	3.8	{'gamma': 0, 'learning_rate': 0.2, 'max_bin': 2, 'max_depth': 2, 'max_leaves': 3, 'min_child_weight': 1, 'n_estimators': 30, 'num_parallel_tree': 1, 'scale_pos_weight': 3.8}	0.5652173913043478	0.5	0.5405405405405406	0.47368421052631576	0.5945945945945946	0.5348073473931597	0.04354249532413614	1	0.6025641025641025	0.6415094339622641	0.5903614457831325	0.6486486486486487	0.6133333333333333	0.6192833928582961	0.022395231857244926	0.9285714285714286	0.7692307692307693	0.7692307692307693	0.6923076923076923	0.7857142857142857	0.7890109890109891	0.07697015827620862	1	0.8867924528301887	0.9444444444444444	0.9074074074074074	0.8888888888888888	0.8679245283018868	0.8990915443745632	0.025895110910673428	0.62	0.66	0.72	0.68	0.7551020408163265	0.6870204081632654	0.04689112044061851	1	0.7185929648241206	0.7286432160804021	0.6834170854271356	0.7688442211055276	0.745	0.7288994974874372	0.028389248769931694	0.40625	0.37037037037037035	0.4166666666666667	0.36	0.4782608695652174	0.40630958132045086	0.04176233914108228	1	0.4563106796116505	0.4857142857142857	0.4375	0.5106382978723404	0.4742268041237113	0.4728780134643976	0.024974020852718548	0.7742857142857142	0.7146153846153847	0.7446153846153847	0.6861538461538461	0.7704081632653061	0.7380156985871272	0.03360228591677046	1	0.8026927088271547	0.8365438302624233	0.7954122464172715	0.8288665549972083	0.8064622641509434	0.8139955209310002	0.015870825553357778