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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	rank_train_precision	rank_train_specificity	rank_train_f1	rank_train_recall	rank_train_balanced_accuracy_score
1	0	0.06109600067138672	0.007525347181315041	0.011529541015625	0.003151917066501285	0.7	0.34051629247958304	3	2	2	7.550510606216876	146	1	4.5	OrderedDict([('gamma', 0.7), ('learning_rate', 0.34051629247958304), ('max_bin', 3), ('max_depth', 2), ('max_leaves', 2), ('min_child_weight', 7.550510606216876), ('n_estimators', 146), ('num_parallel_tree', 1), ('scale_pos_weight', 4.5)])	0.5	0.5	0.5882352941176471	0.5789473684210527	0.5405405405405406	0.5415446406158481	0.03750174320336712	8	0.6266666666666667	0.6289308176100629	0.5903614457831325	0.620253164556962	0.6153846153846154	0.6163193420002879	0.013829515498248323	0.8571428571428571	0.7692307692307693	0.7692307692307693	0.8461538461538461	0.7142857142857143	0.7912087912087913	0.05338442989666423	82	0.8867924528301887	0.9259259259259259	0.9074074074074074	0.9074074074074074	0.9056603773584906	0.906638714185884	0.012393623747631217	0.56	0.66	0.78	0.72	0.7346938775510204	0.690938775510204	0.0758856194456536	9	0.7487437185929648	0.7236180904522613	0.6834170854271356	0.7236180904522613	0.725	0.7208793969849246	0.0210324770721523	0.35294117647058826	0.37037037037037035	0.47619047619047616	0.44	0.43478260869565216	0.41485692634541743	0.04605133016884947	12	0.4845360824742268	0.47619047619047616	0.4375	0.47115384615384615	0.46601941747572817	0.46707996445885536	0.016002581351356557	0.7085714285714286	0.7146153846153847	0.7746153846153847	0.783076923076923	0.7244897959183674	0.7410737833594976	0.03137126497688622	33	0.8177680857115768	0.8247720081890937	0.7954122464172715	0.8155127489298344	0.8153301886792452	0.8137590555854043	0.009792923504249486	8	10	9	38	10
2	1	0.05125241279602051	0.003776193697065464	0.010289382934570313	0.002804700606229411	0.01	0.0001169573434323362	12	4	4	4.963119417048309	130	1	5.0	OrderedDict([('gamma', 0.01), ('learning_rate', 0.0001169573434323362), ('max_bin', 12), ('max_depth', 4), ('max_leaves', 4), ('min_child_weight', 4.963119417048309), ('n_estimators', 130), ('num_parallel_tree', 1), ('scale_pos_weight', 5.0)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	86	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	86	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	86	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	86	0.5	0.5	0.5	0.5	0.5	0.5	0.0	86	86	86	1	86
3	2	0.05514349937438965	0.004796889056319538	0.009485912322998048	0.00129793422865047	0.5	0.0029027621842130746	8	3	1	3.8782207261001678	42	1	4.5	OrderedDict([('gamma', 0.5), ('learning_rate', 0.0029027621842130746), ('max_bin', 8), ('max_depth', 3), ('max_leaves', 1), ('min_child_weight', 3.8782207261001678), ('n_estimators', 42), ('num_parallel_tree', 1), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	86	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	86	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	86	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	86	0.5	0.5	0.5	0.5	0.5	0.5	0.0	86	86	86	1	86
4	3	0.02576441764831543	0.009975828557500788	0.008687114715576172	0.00024954495359119086	0.7	0.006532582605671258	8	4	4	0.5425149441190037	67	2	3.8	OrderedDict([('gamma', 0.7), ('learning_rate', 0.006532582605671258), ('max_bin', 8), ('max_depth', 4), ('max_leaves', 4), ('min_child_weight', 0.5425149441190037), ('n_estimators', 67), ('num_parallel_tree', 2), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.4864864864864865	0.6341463414634146	0.4878048780487805	0.5179952335074287	0.06097003324715848	59	0.5465116279069767	0.5287356321839081	0.5666666666666667	0.5027322404371585	0.5517241379310345	0.5392740610251489	0.02192762991063961	0.8571428571428571	1.0	0.6923076923076923	1.0	0.7142857142857143	0.8527472527472527	0.13288981501389865	52	0.8867924528301887	0.8518518518518519	0.9444444444444444	0.8518518518518519	0.9056603773584906	0.8881201956673654	0.0349646318480325	0.48	0.52	0.7	0.7	0.6530612244897959	0.6106122448979592	0.0927926665588237	44	0.6381909547738693	0.628140703517588	0.6231155778894473	0.5829145728643216	0.635	0.6214723618090453	0.01998188366637881	0.3157894736842105	0.35135135135135137	0.375	0.4642857142857143	0.37037037037037035	0.3753593819383293	0.0491077824354344	70	0.3949579831932773	0.38333333333333336	0.40476190476190477	0.35658914728682173	0.39669421487603307	0.38726731669027403	0.016797021613730995	0.6685714285714286	0.76	0.6961538461538461	0.85	0.6836734693877551	0.731679748822606	0.06685966074691771	53	0.762491703802029	0.73999627768472	0.7837800111669458	0.7173832123580868	0.7703301886792453	0.7547962787382053	0.023491940054480027	52	52	50	48	50
5	4	0.02990412712097168	0.006053871794995283	0.01056046485900879	0.002817607060628211	0.01	0.00041183850050591415	16	2	5	4.0991673114679745	101	2	5.0	OrderedDict([('gamma', 0.01), ('learning_rate', 0.00041183850050591415), ('max_bin', 16), ('max_depth', 2), ('max_leaves', 5), ('min_child_weight', 4.0991673114679745), ('n_estimators', 101), ('num_parallel_tree', 2), ('scale_pos_weight', 5.0)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	86	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	86	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	86	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	86	0.5	0.5	0.5	0.5	0.5	0.5	0.0	86	86	86	1	86
6	5	0.013964080810546875	0.00025416282045173595	0.008301591873168946	0.00017297800116366794	0.0	0.0008928595219094189	20	4	2	9.971322747487507	94	1	3.8	OrderedDict([('gamma', 0), ('learning_rate', 0.0008928595219094189), ('max_bin', 20), ('max_depth', 4), ('max_leaves', 2), ('min_child_weight', 9.971322747487507), ('n_estimators', 94), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.6341463414634146	0.5238095238095238	0.5304629679263826	0.05650810166240871	19	0.5465116279069767	0.5287356321839081	0.5297297297297298	0.5027322404371585	0.5274725274725275	0.5270363515460601	0.014002201943217185	0.8571428571428571	1.0	0.7692307692307693	1.0	0.7857142857142857	0.8824175824175825	0.10045182313869398	22	0.8867924528301887	0.8518518518518519	0.9074074074074074	0.8518518518518519	0.9056603773584906	0.880712788259958	0.024648953386497398	0.48	0.52	0.68	0.7	0.6530612244897959	0.6066122448979592	0.08921534019595909	51	0.6381909547738693	0.628140703517588	0.5879396984924623	0.5829145728643216	0.595	0.6064371859296482	0.02238581738691491	0.3157894736842105	0.35135135135135137	0.38461538461538464	0.4642857142857143	0.39285714285714285	0.38177981335876077	0.04943397133841114	41	0.3949579831932773	0.38333333333333336	0.37404580152671757	0.35658914728682173	0.37209302325581395	0.37620385771919274	0.012718802433336876	0.6685714285714286	0.76	0.7246153846153847	0.85	0.7193877551020408	0.7445149136577708	0.06026884704373709	10	0.762491703802029	0.73999627768472	0.7476735529499349	0.7173832123580868	0.7503301886792453	0.7435749870948033	0.01496054401682941	56	55	60	51	62
7	6	0.01463303565979004	0.00038889531917611853	0.008225250244140624	0.0002353956944424334	0.7	0.3528344184653075	19	2	1	4.7099656414705	58	2	4.5	OrderedDict([('gamma', 0.7), ('learning_rate', 0.3528344184653075), ('max_bin', 19), ('max_depth', 2), ('max_leaves', 1), ('min_child_weight', 4.7099656414705), ('n_estimators', 58), ('num_parallel_tree', 2), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	86	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	86	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	86	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	86	0.5	0.5	0.5	0.5	0.5	0.5	0.0	86	86	86	1	86
8	7	0.027146244049072267	0.00030581223906788195	0.010463953018188477	0.0016595689294225523	0.1	0.09438695247080167	3	3	1	0.481996953605175	148	2	4.5	OrderedDict([('gamma', 0.1), ('learning_rate', 0.09438695247080167), ('max_bin', 3), ('max_depth', 3), ('max_leaves', 1), ('min_child_weight', 0.481996953605175), ('n_estimators', 148), ('num_parallel_tree', 2), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	86	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	86	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	86	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	86	0.5	0.5	0.5	0.5	0.5	0.5	0.0	86	86	86	1	86
9	8	0.012689208984375	0.0015240160299407972	0.010819959640502929	0.0030156951363178234	0.3	0.06611881472319107	6	1	3	4.856940375257748	73	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.06611881472319107), ('max_bin', 6), ('max_depth', 1), ('max_leaves', 3), ('min_child_weight', 4.856940375257748), ('n_estimators', 73), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.5	0.5333333333333333	0.6451612903225806	0.5789473684210527	0.5128205128205128	0.5540525009794959	0.0528613271458937	2	0.5960264900662252	0.5555555555555556	0.5632183908045977	0.6064516129032258	0.5859872611464968	0.5814478620952201	0.019292771979226474	0.8571428571428571	0.9230769230769231	0.7692307692307693	0.8461538461538461	0.7142857142857143	0.8219780219780219	0.07269378201556584	66	0.8490566037735849	0.8333333333333334	0.9074074074074074	0.8703703703703703	0.8679245283018868	0.8656184486373165	0.02486298137451167	0.56	0.6	0.84	0.72	0.6938775510204082	0.6827755102040816	0.09813670988764522	17	0.7336683417085427	0.6834170854271356	0.6432160804020101	0.7286432160804021	0.71	0.6997889447236181	0.03332619066087589	0.35294117647058826	0.375	0.5555555555555556	0.44	0.4	0.4246993464052288	0.0715356906333369	7	0.45918367346938777	0.4166666666666667	0.4083333333333333	0.46534653465346537	0.4423076923076923	0.43836758008610915	0.022581779552782278	0.7085714285714286	0.7615384615384615	0.8046153846153846	0.783076923076923	0.7040816326530612	0.7523767660910516	0.040016589251860066	2	0.7913624727410637	0.7583752093802345	0.7753117439047088	0.7995067932253862	0.7889622641509434	0.7827036966804675	0.014443021728880403	27	24	25	92	27
10	9	0.023014116287231445	0.003050131172051601	0.010916709899902344	0.002924381681075725	0.7	0.010664935423320435	19	4	4	2.836441310755255	106	1	5.0	OrderedDict([('gamma', 0.7), ('learning_rate', 0.010664935423320435), ('max_bin', 19), ('max_depth', 4), ('max_leaves', 4), ('min_child_weight', 2.836441310755255), ('n_estimators', 106), ('num_parallel_tree', 1), ('scale_pos_weight', 5.0)])	0.46153846153846156	0.52	0.4878048780487805	0.5789473684210527	0.5238095238095238	0.5144200463635638	0.03946619479818795	68	0.5549132947976878	0.5423728813559322	0.5416666666666666	0.5649717514124294	0.5434782608695652	0.5494805710204563	0.009133402852619548	0.8571428571428571	1.0	0.7692307692307693	0.8461538461538461	0.7857142857142857	0.8516483516483516	0.0814966866713809	56	0.9056603773584906	0.8888888888888888	0.9629629629629629	0.9259259259259259	0.9433962264150944	0.9253668763102725	0.026297624989807783	0.48	0.52	0.64	0.72	0.6530612244897959	0.6026122448979592	0.08897345045272992	71	0.6381909547738693	0.6231155778894473	0.5678391959798995	0.6331658291457286	0.595	0.6114623115577889	0.026439536964957235	0.3157894736842105	0.35135135135135137	0.35714285714285715	0.44	0.39285714285714285	0.3714281650071124	0.04210489303028512	77	0.4	0.3902439024390244	0.37681159420289856	0.4065040650406504	0.3816793893129771	0.3910477901991101	0.011046455897101508	0.6685714285714286	0.76	0.7046153846153846	0.783076923076923	0.7193877551020408	0.7271302982731553	0.0405128415470022	60	0.77192566606618	0.756002233389168	0.7654010794714312	0.7795458775358273	0.7691981132075472	0.7684145939340308	0.007745901733235601	48	54	45	34	41
11	10	0.05831398963928223	0.004788705810356789	0.010947847366333007	0.002832924119943645	0.1	0.0008433977272295005	16	5	3	0.531660182538838	193	2	5.0	OrderedDict([('gamma', 0.1), ('learning_rate', 0.0008433977272295005), ('max_bin', 16), ('max_depth', 5), ('max_leaves', 3), ('min_child_weight', 0.531660182538838), ('n_estimators', 193), ('num_parallel_tree', 2), ('scale_pos_weight', 5.0)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.43137254901960786	0.36333253949353017	0.034641675524243076	85	0.3475409836065574	0.3517915309446254	0.3517915309446254	0.3517915309446254	0.5073170731707317	0.38204652992223304	0.06265690164973421	1.0	1.0	1.0	1.0	0.7857142857142857	0.9571428571428571	0.08571428571428572	16	1.0	1.0	1.0	1.0	0.9811320754716981	0.9962264150943396	0.007547169811320753	0.0	0.0	0.0	0.0	0.46938775510204084	0.09387755102040816	0.18775510204081633	85	0.0	0.0	0.0	0.0	0.5	0.1	0.2	0.21875	0.20634920634920634	0.20634920634920634	0.20634920634920634	0.2972972972972973	0.2270189832689833	0.03546586116452011	85	0.21031746031746032	0.2134387351778656	0.2134387351778656	0.2134387351778656	0.34210526315789475	0.23854778580179037	0.05179284827660231	0.5	0.5	0.5	0.5	0.6275510204081632	0.5255102040816326	0.05102040816326529	85	0.5	0.5	0.5	0.5	0.7405660377358491	0.5481132075471697	0.09622641509433963	85	85	85	17	85
12	11	0.015164899826049804	0.0003592838539419171	0.008161067962646484	0.0001270352718791955	0.3	0.040705057809671014	8	2	2	5.654571258028208	123	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.040705057809671014), ('max_bin', 8), ('max_depth', 2), ('max_leaves', 2), ('min_child_weight', 5.654571258028208), ('n_estimators', 123), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.4583333333333333	0.5333333333333333	0.5882352941176471	0.5789473684210527	0.5128205128205128	0.5343339684051759	0.04719244631845694	11	0.6052631578947368	0.569620253164557	0.5454545454545454	0.6064516129032258	0.5949367088607594	0.5843452556555649	0.02352760754580227	0.7857142857142857	0.9230769230769231	0.7692307692307693	0.8461538461538461	0.7142857142857143	0.8076923076923077	0.07138629348972184	75	0.8679245283018868	0.8333333333333334	0.8888888888888888	0.8703703703703703	0.8867924528301887	0.8694619147449336	0.01993097146768145	0.54	0.6	0.78	0.72	0.6938775510204082	0.6667755102040817	0.08592805219544114	22	0.7336683417085427	0.7035175879396985	0.628140703517588	0.7286432160804021	0.71	0.7007939698492462	0.038018340405875	0.3235294117647059	0.375	0.47619047619047616	0.44	0.4	0.40294397759103634	0.05260114924010842	19	0.46464646464646464	0.4326923076923077	0.39344262295081966	0.46534653465346537	0.44761904761904764	0.44074939551242104	0.026556086615024184	0.6628571428571428	0.7615384615384615	0.7746153846153847	0.783076923076923	0.7040816326530612	0.7372339089481945	0.04630473993402503	37	0.8007964350052148	0.768425460636516	0.7585147962032384	0.7995067932253862	0.7983962264150943	0.7851279422970899	0.01797516519998252	24	22	24	85	24
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14	13	0.008838701248168945	0.00024854564088401006	0.008179998397827149	0.00023107523766618268	0.3	0.49999999999999994	2	1	5	0.0	30	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.49999999999999994), ('max_bin', 2), ('max_depth', 1), ('max_leaves', 5), ('min_child_weight', 0.0), ('n_estimators', 30), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.4583333333333333	0.55	0.6	0.5641025641025641	0.5128205128205128	0.537051282051282	0.0482610150668158	10	0.6266666666666667	0.5897435897435898	0.573170731707317	0.609271523178808	0.5974025974025974	0.5992510217397957	0.018033399567006485	0.7857142857142857	0.8461538461538461	0.6923076923076923	0.8461538461538461	0.7142857142857143	0.7769230769230769	0.06441472918572679	86	0.8867924528301887	0.8518518518518519	0.8703703703703703	0.8518518518518519	0.8679245283018868	0.86575821104123	0.013078057375585843	0.54	0.68	0.84	0.7	0.6938775510204082	0.6907755102040816	0.09509156463276085	11	0.7487437185929648	0.7185929648241206	0.6834170854271356	0.7437185929648241	0.725	0.723894472361809	0.023144017898929038	0.3235294117647059	0.4074074074074074	0.5294117647058824	0.4230769230769231	0.4	0.4166851013909838	0.06601606884752084	11	0.4845360824742268	0.45098039215686275	0.42727272727272725	0.4742268041237113	0.45544554455445546	0.4584923101163967	0.01983041313258821	0.6628571428571428	0.7630769230769231	0.7661538461538462	0.773076923076923	0.7040816326530612	0.7338492935635793	0.04327272688489075	45	0.8177680857115768	0.7852224083379862	0.776893727898753	0.7977852224083379	0.7964622641509433	0.7948263417015193	0.01379542684639421	12	9	13	88	16
15	14	0.01392664909362793	0.00011836694660460495	0.008055782318115235	9.350259942654375e-05	0.1	0.014528383870443942	3	2	2	4.894818566061685	52	2	3.8	OrderedDict([('gamma', 0.1), ('learning_rate', 0.014528383870443942), ('max_bin', 3), ('max_depth', 2), ('max_leaves', 2), ('min_child_weight', 4.894818566061685), ('n_estimators', 52), ('num_parallel_tree', 2), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.6341463414634146	0.5238095238095238	0.5304629679263826	0.05650810166240871	19	0.5465116279069767	0.5287356321839081	0.5297297297297298	0.5027322404371585	0.5274725274725275	0.5270363515460601	0.014002201943217185	0.8571428571428571	1.0	0.7692307692307693	1.0	0.7857142857142857	0.8824175824175825	0.10045182313869398	22	0.8867924528301887	0.8518518518518519	0.9074074074074074	0.8518518518518519	0.9056603773584906	0.880712788259958	0.024648953386497398	0.48	0.52	0.68	0.7	0.6530612244897959	0.6066122448979592	0.08921534019595909	51	0.6381909547738693	0.628140703517588	0.5879396984924623	0.5829145728643216	0.595	0.6064371859296482	0.02238581738691491	0.3157894736842105	0.35135135135135137	0.38461538461538464	0.4642857142857143	0.39285714285714285	0.38177981335876077	0.04943397133841114	41	0.3949579831932773	0.38333333333333336	0.37404580152671757	0.35658914728682173	0.37209302325581395	0.37620385771919274	0.012718802433336876	0.6685714285714286	0.76	0.7246153846153847	0.85	0.7193877551020408	0.7445149136577708	0.06026884704373709	10	0.762491703802029	0.73999627768472	0.7476735529499349	0.7173832123580868	0.7503301886792453	0.7435749870948033	0.01496054401682941	56	55	60	51	62
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