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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_balanced_accuracy_score	rank_train_f1	rank_train_precision	rank_train_specificity	rank_train_recall
1	0	0.017175054550170897	0.001996734750553426	0.010130167007446289	0.0007709617840396901	0.0	0.07907064831710003	19	5	3	2.6294992760528797	63	1	3.8	OrderedDict([('gamma', 0), ('learning_rate', 0.07907064831710003), ('max_bin', 19), ('max_depth', 5), ('max_leaves', 3), ('min_child_weight', 2.6294992760528797), ('n_estimators', 63), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.45454545454545453	0.5365853658536586	0.5294117647058824	0.5555555555555556	0.5263157894736842	0.5204827860268469	0.03449891161135742	78	0.6577181208053692	0.6025641025641025	0.611764705882353	0.6442953020134228	0.6363636363636364	0.6305411735257768	0.020478944426653305	0.7142857142857143	0.8461538461538461	0.6923076923076923	0.7692307692307693	0.7142857142857143	0.7472527472527473	0.055600486332630844	91	0.9245283018867925	0.8703703703703703	0.9629629629629629	0.8888888888888888	0.9245283018867925	0.9142557651991613	0.03210248410020343	0.6	0.66	0.76	0.74	0.7142857142857143	0.6948571428571428	0.05808930492731667	24	0.7638190954773869	0.7236180904522613	0.678391959798995	0.7638190954773869	0.74	0.7339296482412061	0.03166818701530992	0.3333333333333333	0.39285714285714285	0.42857142857142855	0.43478260869565216	0.4166666666666667	0.4012422360248447	0.03685561904775304	29	0.5104166666666666	0.46078431372549017	0.4482758620689655	0.5052631578947369	0.48514851485148514	0.48197770304146886	0.024273503838416022	0.6571428571428571	0.7530769230769231	0.7261538461538461	0.7546153846153847	0.7142857142857143	0.7210549450549452	0.03551981542417104	80	0.8441736986820897	0.7969942304113158	0.820677461380979	0.8263539921831379	0.8322641509433962	0.8240927067201838	0.015627689975178095	6	6	6	10	21
2	1	0.032399225234985354	0.008161997287226082	0.009891891479492187	0.0002817119305681328	0.7	0.1299774654016892	15	5	2	6.763510356426382	155	2	4.5	OrderedDict([('gamma', 0.7), ('learning_rate', 0.1299774654016892), ('max_bin', 15), ('max_depth', 5), ('max_leaves', 2), ('min_child_weight', 6.763510356426382), ('n_estimators', 155), ('num_parallel_tree', 2), ('scale_pos_weight', 4.5)])	0.4888888888888889	0.46511627906976744	0.6896551724137931	0.5945945945945946	0.4864864864864865	0.5449482842907061	0.08525071996173679	17	0.6533333333333333	0.6086956521739131	0.6181818181818182	0.6451612903225806	0.6451612903225806	0.6341066768668451	0.017397669822563536	0.7857142857142857	0.7692307692307693	0.7692307692307693	0.8461538461538461	0.6428571428571429	0.7626373626373627	0.06624468955209464	87	0.9245283018867925	0.9074074074074074	0.9444444444444444	0.9259259259259259	0.9433962264150944	0.929140461215933	0.013721294565197011	0.6	0.6	0.88	0.74	0.7142857142857143	0.706857142857143	0.1038931947644664	20	0.7587939698492462	0.7085427135678392	0.6984924623115578	0.7437185929648241	0.74	0.7299095477386934	0.022673295555681098	0.3548387096774194	0.3333333333333333	0.625	0.4583333333333333	0.391304347826087	0.4325619448340346	0.10515320011837848	13	0.5051546391752577	0.45794392523364486	0.4594594594594595	0.49504950495049505	0.49019607843137253	0.4815607214500459	0.019284234334007427	0.6928571428571428	0.6846153846153846	0.8246153846153846	0.793076923076923	0.6785714285714286	0.7347472527472527	0.06148551097139157	68	0.8416611358680193	0.8079750604876232	0.8214684533780011	0.834822259445375	0.8416981132075472	0.8295250044773133	0.013060162886134588	5	5	7	12	19
3	2	0.022633171081542967	0.0003771388736298236	0.008263206481933594	0.00010345724740314345	0.7	0.0009118116148706195	19	3	3	6.025638192842839	114	2	4.5	OrderedDict([('gamma', 0.7), ('learning_rate', 0.0009118116148706195), ('max_bin', 19), ('max_depth', 3), ('max_leaves', 3), ('min_child_weight', 6.025638192842839), ('n_estimators', 114), ('num_parallel_tree', 2), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.41509433962264153	0.3600768976141369	0.0282739224434734	92	0.3475409836065574	0.3517915309446254	0.3517915309446254	0.3517915309446254	0.49523809523809526	0.37963073433570577	0.05782711774422798	1.0	1.0	1.0	1.0	0.7857142857142857	0.9571428571428571	0.08571428571428572	9	1.0	1.0	1.0	1.0	0.9811320754716981	0.9962264150943396	0.007547169811320753	0.0	0.0	0.0	0.0	0.42857142857142855	0.08571428571428572	0.17142857142857143	92	0.0	0.0	0.0	0.0	0.475	0.095	0.19	0.21875	0.20634920634920634	0.20634920634920634	0.20634920634920634	0.28205128205128205	0.2239697802197802	0.029435219826359754	92	0.21031746031746032	0.2134387351778656	0.2134387351778656	0.2134387351778656	0.33121019108280253	0.23636877138677193	0.04743611573477306	0.5	0.5	0.5	0.5	0.6071428571428571	0.5214285714285715	0.04285714285714284	92	0.5	0.5	0.5	0.5	0.728066037735849	0.5456132075471698	0.0912264150943396	92	92	92	92	10
4	3	0.014437389373779298	0.004309762647661843	0.011129188537597656	0.0031343807016174026	0.5	0.01578689297212595	7	3	4	1.502418350960051	67	1	3.8	OrderedDict([('gamma', 0.5), ('learning_rate', 0.01578689297212595), ('max_bin', 7), ('max_depth', 3), ('max_leaves', 4), ('min_child_weight', 1.502418350960051), ('n_estimators', 67), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.47368421052631576	0.48484848484848486	0.4878048780487805	0.4855752069924085	0.019543422733411274	85	0.5465116279069767	0.5287356321839081	0.532608695652174	0.5637583892617449	0.5454545454545454	0.5434137780918699	0.012327711729132584	0.8571428571428571	1.0	0.6923076923076923	0.6153846153846154	0.7142857142857143	0.7758241758241758	0.1366531125864599	86	0.8867924528301887	0.8518518518518519	0.9074074074074074	0.7777777777777778	0.9056603773584906	0.8658979734451432	0.04838000322008286	0.48	0.52	0.68	0.76	0.6530612244897959	0.6186122448979592	0.10381080410405122	40	0.6381909547738693	0.628140703517588	0.592964824120603	0.7336683417085427	0.625	0.6435929648241207	0.04751933203441567	0.3157894736842105	0.35135135135135137	0.36	0.4	0.37037037037037035	0.3595022390811864	0.027333772196768063	87	0.3949579831932773	0.38333333333333336	0.3769230769230769	0.4421052631578947	0.3902439024390244	0.3975127118093213	0.023120751295979416	0.6685714285714286	0.76	0.6861538461538461	0.6876923076923077	0.6836734693877551	0.6972182103610675	0.03212106536891084	82	0.762491703802029	0.73999627768472	0.7501861157640053	0.7557230597431602	0.7653301886792453	0.754745469134632	0.009069977666375894	43	42	42	42	82
5	4	0.02909531593322754	0.0004589583929407743	0.00807957649230957	6.912665374558488e-05	0.5	0.00011512540145351004	13	3	5	5.61194645817769	142	2	4.5	OrderedDict([('gamma', 0.5), ('learning_rate', 0.00011512540145351004), ('max_bin', 13), ('max_depth', 3), ('max_leaves', 5), ('min_child_weight', 5.61194645817769), ('n_estimators', 142), ('num_parallel_tree', 2), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	93	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	93	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	93	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	93	0.5	0.5	0.5	0.5	0.5	0.5	0.0	93	93	93	93	1
6	5	0.011278200149536132	0.0002775996458720181	0.009507894515991211	0.0018566250959909678	0.1	0.036850546776508473	2	5	2	1.4748178501545142	81	1	3.8	OrderedDict([('gamma', 0.1), ('learning_rate', 0.036850546776508473), ('max_bin', 2), ('max_depth', 5), ('max_leaves', 2), ('min_child_weight', 1.4748178501545142), ('n_estimators', 81), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.5641025641025641	0.5128205128205128	0.5142564102564103	0.03256050858422887	79	0.5465116279069767	0.5287356321839081	0.5297297297297298	0.5789473684210527	0.5859872611464968	0.5539823238776328	0.024203158972769336	0.8571428571428571	1.0	0.7692307692307693	0.8461538461538461	0.7142857142857143	0.8373626373626374	0.09665333374635612	60	0.8867924528301887	0.8518518518518519	0.9074074074074074	0.8148148148148148	0.8679245283018868	0.86575821104123	0.03152904775296629	0.48	0.52	0.68	0.7	0.6938775510204082	0.6147755102040816	0.09478545888123847	42	0.6381909547738693	0.628140703517588	0.5879396984924623	0.7286432160804021	0.71	0.6585829145728643	0.05269760286333458	0.3157894736842105	0.35135135135135137	0.38461538461538464	0.4230769230769231	0.4	0.37496662654557394	0.037666923406110255	81	0.3949579831932773	0.38333333333333336	0.37404580152671757	0.4489795918367347	0.4423076923076923	0.4087248804395511	0.030935881048131723	0.6685714285714286	0.76	0.7246153846153847	0.773076923076923	0.7040816326530612	0.7260690737833595	0.03782217771016889	75	0.762491703802029	0.73999627768472	0.7476735529499349	0.7717290154476084	0.7889622641509434	0.7621705628070472	0.01738461748100609	40	40	40	40	83
7	6	0.008974552154541016	0.0002863369218065457	0.009604835510253906	0.0021892263405978007	0.1	0.0036300347373361035	17	4	2	3.178136801517067	43	1	3.8	OrderedDict([('gamma', 0.1), ('learning_rate', 0.0036300347373361035), ('max_bin', 17), ('max_depth', 4), ('max_leaves', 2), ('min_child_weight', 3.178136801517067), ('n_estimators', 43), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.6341463414634146	0.5238095238095238	0.5304629679263826	0.05650810166240871	28	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	13	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	47	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	20	0.762491703802029	0.73999627768472	0.7476735529499349	0.7173832123580868	0.7503301886792453	0.7435749870948033	0.01496054401682941	50	50	50	48	30
8	7	0.017648839950561525	0.0011394796357248602	0.008156108856201171	0.00020408203664222662	0.7	0.00047007601888691936	13	2	4	9.276440531740063	146	1	3.8	OrderedDict([('gamma', 0.7), ('learning_rate', 0.00047007601888691936), ('max_bin', 13), ('max_depth', 2), ('max_leaves', 4), ('min_child_weight', 9.276440531740063), ('n_estimators', 146), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.4482758620689655	0.5128205128205128	0.6046511627906976	0.5238095238095238	0.5102191046056322	0.05534555219219539	80	0.5465116279069767	0.5	0.5297297297297298	0.5077720207253886	0.5274725274725275	0.5222971811669245	0.016592233076299364	0.8571428571428571	1.0	0.7692307692307693	1.0	0.7857142857142857	0.8824175824175825	0.10045182313869398	13	0.8867924528301887	0.9444444444444444	0.9074074074074074	0.9074074074074074	0.9056603773584906	0.9103424178895876	0.018744061171704057	0.48	0.36	0.68	0.66	0.6530612244897959	0.5666122448979591	0.12589025585055205	87	0.6381909547738693	0.5025125628140703	0.5879396984924623	0.5477386934673367	0.595	0.5742763819095478	0.045946755772865645	0.3157894736842105	0.28888888888888886	0.38461538461538464	0.43333333333333335	0.39285714285714285	0.363096844675792	0.05296545157009764	85	0.3949579831932773	0.34	0.37404580152671757	0.35251798561151076	0.37209302325581395	0.36672295871746396	0.018950335145643177	0.6685714285714286	0.6799999999999999	0.7246153846153847	0.8300000000000001	0.7193877551020408	0.7245149136577708	0.05703446738852055	76	0.762491703802029	0.7234785036292574	0.7476735529499349	0.7275730504373721	0.7503301886792453	0.7423093998995677	0.01464373744112077	87	87	87	87	23
9	8	0.013557243347167968	0.0003612295116671699	0.008058929443359375	0.0002448055499758122	0.5	0.0012879969741133525	16	4	2	9.342914054863595	110	1	4.5	OrderedDict([('gamma', 0.5), ('learning_rate', 0.0012879969741133525), ('max_bin', 16), ('max_depth', 4), ('max_leaves', 2), ('min_child_weight', 9.342914054863595), ('n_estimators', 110), ('num_parallel_tree', 1), ('scale_pos_weight', 4.5)])	0.46153846153846156	0.34210526315789475	0.5128205128205128	0.34210526315789475	0.5238095238095238	0.4364758048968575	0.079869177961477	86	0.5465116279069767	0.3517915309446254	0.5297297297297298	0.3517915309446254	0.5274725274725275	0.461459389399697	0.08978478200490717	0.8571428571428571	1.0	0.7692307692307693	1.0	0.7857142857142857	0.8824175824175825	0.10045182313869398	13	0.8867924528301887	1.0	0.9074074074074074	1.0	0.9056603773584906	0.9399720475192174	0.04954296306074107	0.48	0.0	0.68	0.0	0.6530612244897959	0.3626122448979592	0.303924583468473	88	0.6381909547738693	0.0	0.5879396984924623	0.0	0.595	0.3642261306532663	0.2978866940852979	0.3157894736842105	0.20634920634920634	0.38461538461538464	0.20634920634920634	0.39285714285714285	0.3011920827710301	0.08193333481386904	88	0.3949579831932773	0.2134387351778656	0.37404580152671757	0.2134387351778656	0.37209302325581395	0.31359485566630807	0.0821691035977742	0.6685714285714286	0.5	0.7246153846153847	0.5	0.7193877551020408	0.6225149136577708	0.10193121630039276	88	0.762491703802029	0.5	0.7476735529499349	0.5	0.7503301886792453	0.6520990890862418	0.12428887500947157	88	88	88	88	17
10	9	0.014979314804077149	0.00028983358858701515	0.008057737350463867	9.981200682633743e-05	0.0	0.0022559082708220627	8	1	3	9.79080018910891	139	1	3.8	OrderedDict([('gamma', 0), ('learning_rate', 0.0022559082708220627), ('max_bin', 8), ('max_depth', 1), ('max_leaves', 3), ('min_child_weight', 9.79080018910891), ('n_estimators', 139), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.6341463414634146	0.5238095238095238	0.5304629679263826	0.05650810166240871	28	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	13	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	47	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	20	0.762491703802029	0.73999627768472	0.7476735529499349	0.7173832123580868	0.7503301886792453	0.7435749870948033	0.01496054401682941	50	50	50	48	30
11	10	0.012968111038208007	0.0002903759532744415	0.008205461502075195	0.00011666797269263953	0.01	0.49999999999999994	4	4	1	4.793723804725503	119	1	4.5	OrderedDict([('gamma', 0.01), ('learning_rate', 0.49999999999999994), ('max_bin', 4), ('max_depth', 4), ('max_leaves', 1), ('min_child_weight', 4.793723804725503), ('n_estimators', 119), ('num_parallel_tree', 1), ('scale_pos_weight', 4.5)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	93	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	93	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	93	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	93	0.5	0.5	0.5	0.5	0.5	0.5	0.0	93	93	93	93	1
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13	12	0.01635589599609375	0.00046707141870611286	0.007855606079101563	0.00014743110941435684	0.3	0.0041651706820032	8	3	4	9.87720823509629	141	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.0041651706820032), ('max_bin', 8), ('max_depth', 3), ('max_leaves', 4), ('min_child_weight', 9.87720823509629), ('n_estimators', 141), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46153846153846156	0.52	0.5128205128205128	0.6341463414634146	0.5238095238095238	0.5304629679263826	0.05650810166240871	28	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	13	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	47	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	20	0.762491703802029	0.73999627768472	0.7476735529499349	0.7173832123580868	0.7503301886792453	0.7435749870948033	0.01496054401682941	50	50	50	48	30
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15	14	0.009453582763671874	0.0002195902884449178	0.0076792240142822266	8.922755996746411e-05	0.0	0.0040033766062022675	20	5	1	10.0	30	2	3.8	OrderedDict([('gamma', 0), ('learning_rate', 0.0040033766062022675), ('max_bin', 20), ('max_depth', 5), ('max_leaves', 1), ('min_child_weight', 10.0), ('n_estimators', 30), ('num_parallel_tree', 2), ('scale_pos_weight', 3.8)])	0.358974358974359	0.34210526315789475	0.34210526315789475	0.34210526315789475	0.36363636363636365	0.3497853024168814	0.009520920820814502	93	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	93	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	93	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	93	0.5	0.5	0.5	0.5	0.5	0.5	0.0	93	93	93	93	1
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49	48	0.024489879608154297	0.007990443497638713	0.009799432754516602	0.0026883496771763775	0.3	0.08903311193487547	2	1	5	0.0	200	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.08903311193487547), ('max_bin', 2), ('max_depth', 1), ('max_leaves', 5), ('min_child_weight', 0.0), ('n_estimators', 200), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.4583333333333333	0.6111111111111112	0.6206896551724138	0.5945945945945946	0.5128205128205128	0.5595098414063931	0.06332958194006855	3	0.6133333333333333	0.5786163522012578	0.5975609756097561	0.5974025974025974	0.5987261146496815	0.5971278746393252	0.011028243510516308	0.7857142857142857	0.8461538461538461	0.6923076923076923	0.8461538461538461	0.7142857142857143	0.7769230769230769	0.06441472918572679	76	0.8679245283018868	0.8518518518518519	0.9074074074074074	0.8518518518518519	0.8867924528301887	0.8731656184486372	0.021420611781039506	0.54	0.76	0.86	0.74	0.6938775510204082	0.7187755102040817	0.10457044081803406	8	0.7437185929648241	0.7035175879396985	0.6934673366834171	0.7286432160804021	0.715	0.7168693467336683	0.01782651966633014	0.3235294117647059	0.4782608695652174	0.5625	0.4583333333333333	0.4	0.44452472293265133	0.07983644228895324	4	0.4742268041237113	0.4380952380952381	0.44545454545454544	0.46	0.4519230769230769	0.45393993291931434	0.012453155575123328	0.6628571428571428	0.803076923076923	0.7761538461538462	0.793076923076923	0.7040816326530612	0.7478492935635792	0.05483803616775189	4	0.8058215606333554	0.7776847198957753	0.8004373720454123	0.790247533966127	0.8008962264150943	0.795017482591153	0.010038326608808714	21	18	17	20	72
50	49	0.02140974998474121	0.003464494515294676	0.008387136459350585	0.0011856592077801947	0.3	0.0747978162527952	2	1	5	3.108123988172986	200	1	3.8	OrderedDict([('gamma', 0.3), ('learning_rate', 0.0747978162527952), ('max_bin', 2), ('max_depth', 1), ('max_leaves', 5), ('min_child_weight', 3.108123988172986), ('n_estimators', 200), ('num_parallel_tree', 1), ('scale_pos_weight', 3.8)])	0.46808510638297873	0.6111111111111112	0.6206896551724138	0.5789473684210527	0.5128205128205128	0.5583307507816138	0.05884709408020802	7	0.6081081081081081	0.575	0.5853658536585366	0.5935483870967742	0.5974025974025974	0.5918849892532032	0.011171414131067451	0.7857142857142857	0.8461538461538461	0.6923076923076923	0.8461538461538461	0.7142857142857143	0.7769230769230769	0.06441472918572679	76	0.8490566037735849	0.8518518518518519	0.8888888888888888	0.8518518518518519	0.8679245283018868	0.8619147449336129	0.015043785206487395	0.56	0.76	0.86	0.72	0.6938775510204082	0.7187755102040817	0.09744217307140664	8	0.7487437185929648	0.6984924623115578	0.6884422110552764	0.7236180904522613	0.725	0.7168592964824121	0.021323414663908	0.3333333333333333	0.4782608695652174	0.5625	0.44	0.4	0.4428188405797101	0.07669184129566228	8	0.47368421052631576	0.4339622641509434	0.43636363636363634	0.45544554455445546	0.45544554455445546	0.4509802400299613	0.014550634151469337	0.6728571428571428	0.803076923076923	0.7761538461538462	0.783076923076923	0.7040816326530612	0.7478492935635792	0.05026262119962053	4	0.7989001611832749	0.7751721570817048	0.7886655499720826	0.7877349711520566	0.7964622641509433	0.7893870207080125	0.008317103427894514	29	27	25	22	90
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