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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	0.009736347198486327	0.00024102151018825106	0.00849604606628418	0.00014674743920175062	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}	0.5405405405405406	0.6486486486486487	0.6	0.41025641025641024	0.5454545454545454	0.548980028980029	0.07983078050540568	1	0.620253164556962	0.6086956521739131	0.6103896103896104	0.6496815286624203	0.632258064516129	0.624255604059807	0.015237548492982568	0.7142857142857143	0.9230769230769231	0.9230769230769231	0.6153846153846154	0.8571428571428571	0.8065934065934066	0.1222894746658774	1	0.9245283018867925	0.9074074074074074	0.8703703703703703	0.9444444444444444	0.9245283018867925	0.9142557651991614	0.024880652155017127	0.74	0.76	0.7	0.64	0.6326530612244898	0.694530612244898	0.05135375185973078	1	0.7185929648241206	0.7085427135678392	0.7336683417085427	0.7386934673366834	0.735	0.7268994974874372	0.01145864842473244	0.43478260869565216	0.5	0.4444444444444444	0.3076923076923077	0.4	0.4173838721664809	0.06355289688333494	1	0.4666666666666667	0.45794392523364486	0.47	0.49514563106796117	0.4803921568627451	0.47402967596620355	0.012771595781154192	0.7271428571428571	0.8415384615384616	0.8115384615384615	0.6276923076923078	0.7448979591836735	0.7505620094191523	0.07439401093385065	1	0.8215606333554566	0.8079750604876232	0.8020193560394565	0.8415689558905639	0.8297641509433962	0.8205776313432993	0.01434732390373215