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pfilonenko
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ML_for_TwoSampleTesting

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train · 24.8M rows

iter int64 0 7.65k	sample stringclasses 1 value	H0_H1 stringclasses 2 values	Hi stringclasses 27 values	n1 int64 20 1k	n2 int64 20 1k	perc int64 0 50	real_perc1 float64 0 95	real_perc2 float64 0 95	Peto_test float64 -7.97 10.1	Gehan_test float64 -10.22 8.5	logrank_test float64 -8.93 6.76	CoxMantel_test float64 -9.17 7.03	BN_GPH_test float64 0 109	BN_MCE_test float64 0 143	BN_SCE_test float64 0 114	Q_test float64 -8.08 10.1	MAX_Value_test float64 0 10.2	MIN3_test float64 0 1	WLg_logrank_test float64 0 84.2	WLg_TaroneWare_test float64 0 99.4	WLg_Breslow_test float64 0 106	WLg_PetoPrentice_test float64 0 71.9	WLg_Prentice_test float64 0 71.6	WKM_test float64 -8.89 10.7
7,649	train	H0	H27	20	20	30	25	25	-0.340253	0.405718	0.241496	0.234981	0.083654	1.783532	0.151765	0.234981	0.405718	0.618525	0.055216	0.092416	0.163857	0.019547	0.002608	-0.43328
7,649	train	H1	H27	20	20	30	45	35	0.500709	-0.834178	0.36787	0.370466	10.678792	12.16684	11.0004	0.500709	0.834178	0.004086	0.137245	0.094454	0.700069	3.1288	2.969659	0.892013
7,649	train	H0	H27	30	30	30	16.666667	40	0.690804	-0.725404	-0.960514	-0.945555	1.284508	2.537024	1.142182	0.690804	0.960514	0.439791	0.894075	0.587742	0.524952	0.970707	0.774805	0.772546
7,649	train	H1	H27	30	30	30	23.333333	36.666667	0.48976	-0.384951	-1.083345	-1.0824	3.094201	3.213725	3.009562	-1.0824	1.083345	0.222066	1.171589	0.420627	0.147401	2.557632	2.489795	0.423943
7,649	train	H0	H27	50	50	30	34	34	0.626333	-0.460496	-0.87399	-0.882198	1.462595	4.524138	1.297147	-0.882198	0.87399	0.210147	0.778273	0.348466	0.211942	1.177579	1.074406	0.471463
7,649	train	H1	H27	50	50	30	34	30	0.400364	-0.564349	0.253783	0.252706	3.004397	7.008754	3.623306	0.400364	0.564349	0.071619	0.06386	0.025328	0.318534	1.486959	1.546682	0.572145
7,649	train	H0	H27	75	75	30	36	37.333333	0.897744	-0.960629	-0.78377	-0.785407	0.81736	1.344442	0.85504	0.897744	0.960629	0.324465	0.616864	0.803528	0.92339	0.123207	0.100498	0.985324
7,649	train	H1	H27	75	75	30	33.333333	37.333333	1.79043	-1.973678	-1.155822	-1.1529	5.475247	6.573452	5.915996	1.79043	1.973678	0.043212	1.329177	2.730506	3.905828	0.01215	0.003236	2.02166
7,649	train	H0	H27	100	100	30	28	29	0.265872	-0.383181	0.210871	0.210321	1.574446	2.719384	1.822928	0.265872	0.383181	0.401935	0.044235	0.013652	0.146725	0.859863	0.879257	0.387007
7,649	train	H1	H27	100	100	30	30	33	1.634534	-1.820022	-0.691305	-0.690542	8.786706	12.887724	9.709527	1.634534	1.820022	0.004886	0.476848	1.716775	3.330254	0.779389	0.763947	1.85253
7,649	train	H0	H27	150	150	30	33.333333	20.666667	-1.291049	1.293179	1.192179	1.189949	1.638378	1.695165	1.666135	-1.291049	1.293179	0.187269	1.415979	1.604844	1.670924	0.612948	0.599294	-1.3187
7,649	train	H1	H27	150	150	30	25.333333	30.666667	2.134649	-2.238076	-1.682129	-1.681134	4.126758	15.449895	5.241305	2.134649	2.238076	0.00147	2.826211	3.594783	5.031025	0.427395	0.31004	2.296335
7,649	train	H0	H27	200	200	30	30.5	35.5	-0.603359	0.755363	0.006539	0.00653	3.133016	3.159261	3.060118	0.00653	0.755363	0.216523	0.000043	0.245164	0.570732	0.87846	0.83407	-0.772563
7,649	train	H1	H27	200	200	30	36	25	-0.628893	0.105905	2.422512	2.440019	24.84183	30.21047	27.566022	2.440019	2.422512	0.000001	5.953692	1.311996	0.011242	19.816272	19.910505	-0.12444
7,649	train	H0	H27	300	300	30	33.666667	32.333333	0.23248	-0.324491	0.12094	0.120871	1.186171	1.34035	1.119958	0.120871	0.324491	0.571221	0.01461	0.026535	0.105267	0.47196	0.415444	0.330758
7,649	train	H1	H27	300	300	30	34.333333	27	0.235614	-0.660193	1.386974	1.389082	19.124977	22.96729	21.059971	1.389082	1.386974	0.000027	1.92955	0.050502	0.436392	11.669307	11.623231	0.671813
7,649	train	H0	H27	500	500	30	28.2	31.4	0.039424	-0.018855	-0.094931	-0.09498	0.013302	0.233435	0.028701	0.039424	0.094931	0.972019	0.009021	0.007944	0.000355	0.016762	0.01594	0.019539
7,649	train	H1	H27	500	500	30	27.2	30	2.753495	-2.838749	-2.198164	-2.202282	8.097668	10.080419	8.632557	-2.202282	2.838749	0.003534	4.850048	6.608225	8.072166	0.787506	0.758382	2.917018
7,649	train	H0	H27	1,000	1,000	30	29.7	29.6	0.743073	-0.844651	-0.324258	-0.323982	1.280147	2.526275	1.59521	0.743073	0.844651	0.387979	0.104964	0.37166	0.71339	0.143328	0.157137	0.863288
7,649	train	H1	H27	1,000	1,000	30	30.3	28.1	1.856005	-2.240848	-0.148331	-0.148385	17.71815	31.280514	22.606763	-0.148385	2.240848	0.000001	0.022018	1.472004	5.032129	5.207007	5.194141	2.293004
7,649	train	H0	H27	20	20	40	25	40	1.374914	-1.246068	-1.683682	-1.737962	4.051248	7.235212	3.875979	-1.737962	1.683682	0.064767	3.020513	2.114976	1.55326	3.369125	3.135363	1.343373
7,649	train	H1	H27	20	20	40	45	35	0.181844	-0.436931	0.522646	0.519191	6.036747	6.418711	6.184029	0.519191	0.522646	0.04541	0.269559	0.000096	0.189831	2.901994	2.803985	0.494481
7,649	train	H0	H27	30	30	40	43.333333	36.666667	-0.873231	0.854678	1.062031	1.060571	1.416789	3.455848	1.331845	-0.873231	1.062031	0.326534	1.124812	0.855797	0.732738	1.503012	1.336929	-0.915247
7,649	train	H1	H27	30	30	40	56.666667	36.666667	-0.617235	0.347087	0.895031	0.899524	1.632028	7.508242	1.803128	0.899524	0.895031	0.057347	0.809143	0.43405	0.12032	1.990219	2.057647	-0.379752
7,649	train	H0	H27	50	50	40	32	44	0.294779	-0.030242	-0.917612	-0.920068	6.323602	7.98401	6.051816	-0.920068	0.917612	0.046343	0.846525	0.133028	0.000914	4.064998	3.842053	0.019686
7,649	train	H1	H27	50	50	40	40	48	0.459508	-0.434948	-0.364802	-0.363912	0.184306	6.396225	0.305664	-0.363912	0.434948	0.093846	0.132432	0.078734	0.189553	0.007246	0.002972	0.452622
7,649	train	H0	H27	75	75	40	40	44	-0.059143	0.31355	-0.390379	-0.390273	2.436897	3.159614	2.539305	-0.390273	0.390379	0.280929	0.152313	0.00133	0.09817	1.322491	1.463296	-0.314814
7,649	train	H1	H27	75	75	40	57.333333	38.666667	-0.547451	0.131044	1.162813	1.156648	5.600047	9.012285	6.065963	1.156648	1.162813	0.029128	1.337835	0.334177	0.017153	5.137364	5.232762	-0.133884
7,649	train	H0	H27	100	100	40	40	38	0.555846	-0.655083	-0.33398	-0.332647	0.861244	1.343307	0.761231	-0.332647	0.655083	0.502228	0.110654	0.343976	0.429233	0.034828	0.018213	0.670989
7,649	train	H1	H27	100	100	40	33	38	2.065339	-2.187063	-1.534383	-1.536821	5.958074	5.961765	5.865395	2.065339	2.187063	0.024586	2.361818	4.056351	4.795752	0.11743	0.161445	2.247845
7,649	train	H0	H27	150	150	40	44.666667	39.333333	0.325139	-0.413858	-0.060318	-0.060284	0.905012	1.240122	0.819654	-0.060284	0.413858	0.663765	0.003634	0.091988	0.171193	0.24489	0.17578	0.42643
7,649	train	H1	H27	150	150	40	38	40	2.416138	-2.49538	-2.134158	-2.172952	5.774371	15.431721	6.17875	2.416138	2.49538	0.001483	4.721721	5.328419	6.265899	1.487084	1.437488	2.57374
7,649	train	H0	H27	200	200	40	41	41	0.181988	-0.063149	-0.39279	-0.392382	0.533818	0.725614	0.582265	-0.392382	0.39279	0.747417	0.153963	0.046512	0.003987	0.432953	0.375024	0.064873
7,649	train	H1	H27	200	200	40	41	37	1.214984	-1.473491	-0.544164	-0.544772	4.551418	13.859883	5.461338	1.214984	1.473491	0.003102	0.296776	1.017462	2.176815	0.535614	0.569724	1.524218
7,649	train	H0	H27	300	300	40	34	42.333333	2.062556	-1.959404	-2.262044	-2.263976	5.237771	5.542596	5.213679	-2.263976	2.262044	0.044464	5.125587	4.431483	3.84112	4.107297	4.049326	2.009692
7,649	train	H1	H27	300	300	40	47.666667	42.666667	0.52403	-0.960793	0.264987	0.264726	6.617877	11.79812	7.45875	0.264726	0.960793	0.008108	0.07008	0.149552	0.923577	2.846046	2.843127	1.001478
7,649	train	H0	H27	500	500	40	41.4	39	-0.129093	0.04188	0.327876	0.327796	0.592387	1.76411	0.496684	0.327796	0.327876	0.622776	0.10745	0.012482	0.001754	0.410484	0.38042	-0.043545
7,649	train	H1	H27	500	500	40	39.4	39.8	2.674738	-3.210682	-1.26371	-1.26453	20.921407	31.495757	23.439238	2.674738	3.210682	0.000001	1.599037	5.577062	10.348608	1.694127	1.708077	3.328934
7,649	train	H0	H27	1,000	1,000	40	39.4	41.1	0.935993	-0.943026	-0.879932	-0.879522	0.818931	2.140556	0.877197	-0.879522	0.943026	0.330317	0.77356	0.771541	0.889209	0.293941	0.283443	0.973475
7,649	train	H1	H27	1,000	1,000	40	40.4	41.7	3.271669	-3.791073	-2.001844	-2.003067	20.029241	34.656537	23.459596	3.271669	3.791073	0	4.012279	8.693307	14.400228	0.356305	0.364031	3.934158
7,649	train	H0	H27	20	20	50	70	50	-0.933295	0.821795	0.968957	0.956331	0.91741	1.524206	0.919776	-0.933295	0.968957	0.385592	0.914569	0.864479	0.670752	1.375	1.517511	-0.86764
7,649	train	H1	H27	20	20	50	45	45	0.266864	-0.23769	0.000486	0.000481	0.8797	2.352757	0.716952	0.266864	0.23769	0.502489	0	0.055437	0.056697	0.340817	0.2175	0.229709
7,649	train	H0	H27	30	30	50	50	60	0.364096	-0.145328	-0.602223	-0.597921	1.472504	4.920742	1.577109	-0.597921	0.602223	0.177694	0.357509	0.132037	0.02107	0.906745	0.9109	0.170385
7,649	train	H1	H27	30	30	50	20	53.333333	1.68374	-1.616834	-1.589176	-1.574033	2.913476	4.287116	2.812198	-1.574033	1.616834	0.093367	2.477579	2.806547	2.601914	0.985246	1.107764	1.677897
7,649	train	H0	H27	50	50	50	42	54	0.825723	-0.603102	-1.156665	-1.160501	2.988788	6.575832	2.796612	-1.160501	1.156665	0.086719	1.346763	0.608428	0.36274	2.518975	2.310753	0.642654
7,649	train	H1	H27	50	50	50	44	52	1.644463	-1.834129	-1.153648	-1.153218	4.483114	10.718796	5.159146	1.644463	1.834129	0.013348	1.329912	2.262624	3.437757	0.005843	0.028349	1.935584
7,649	train	H0	H27	75	75	50	48	44	-0.099964	0.232475	-0.14623	-0.14657	0.884998	1.09059	0.834062	-0.14657	0.232475	0.659001	0.021483	0.011111	0.053978	0.278065	0.264481	-0.234499
7,649	train	H1	H27	75	75	50	46.666667	57.333333	2.891033	-3.235149	-2.177192	-2.192987	12.841072	12.701834	12.796534	2.891033	3.235149	0.000622	4.809193	8.653398	10.566785	0.150873	0.225185	3.421821
7,649	train	H0	H27	100	100	50	55	58	0.510272	-0.4228	-0.503184	-0.501441	0.278517	2.962322	0.258667	-0.501441	0.503184	0.397471	0.251443	0.278157	0.178515	0.085649	0.136537	0.440598
7,649	train	H1	H27	100	100	50	45	47	1.927145	-2.521564	-0.85921	-0.8537	11.504039	13.215963	12.94588	1.927145	2.521564	0.001545	0.728804	3.60149	6.400385	1.283873	1.135784	2.643787
7,649	train	H0	H27	150	150	50	56	54	-0.922741	1.172282	0.565854	0.56377	3.337261	3.431646	3.27859	0.56377	1.172282	0.194117	0.317837	0.947406	1.374555	0.225188	0.158151	-1.213505
7,649	train	H1	H27	150	150	50	44	46	2.382289	-2.595785	-1.948171	-1.969406	6.459721	10.695898	7.012023	2.382289	2.595785	0.006367	3.878559	5.281385	6.769269	0.472077	0.450872	2.72825
7,649	train	H0	H27	200	200	50	49.5	51.5	0.436546	-0.385364	-0.430697	-0.429847	0.216188	2.281603	0.190894	-0.429847	0.430697	0.516054	0.184768	0.239433	0.148414	0.064566	0.094567	0.400253
7,649	train	H1	H27	200	200	50	50.5	56.5	3.188719	-3.615763	-2.495602	-2.510637	15.863269	21.248872	16.584597	3.188719	3.615763	0.000093	6.3033	10.225324	13.191158	0.214974	0.214254	3.772817
7,649	train	H0	H27	300	300	50	53	49.333333	-1.226638	1.054426	1.389843	1.392277	2.184147	2.212875	2.174799	-1.226638	1.389843	0.272828	1.938434	1.422917	1.111673	2.162739	2.208821	-1.096574
7,649	train	H1	H27	300	300	50	50.666667	46.666667	1.41083	-2.009684	-0.576946	-0.578074	8.615534	21.884098	9.96912	-0.578074	2.009684	0.000069	0.334169	1.80049	4.047774	1.376837	1.478691	2.112227
7,649	train	H0	H27	500	500	50	50.2	50.2	-0.258829	0.19025	0.332058	0.332029	0.206749	1.25226	0.174251	0.332029	0.332058	0.740499	0.110243	0.041331	0.036187	0.194709	0.202147	-0.196257
7,649	train	H1	H27	500	500	50	48.4	46.2	2.122008	-2.769818	-0.88734	-0.88853	20.829558	22.217175	21.69601	-0.88853	2.769818	0.000019	0.789486	4.189252	7.700588	2.590142	2.527318	2.89345
7,649	train	H0	H27	1,000	1,000	50	47.6	50.3	0.380407	-0.424672	-0.304642	-0.304602	0.206616	0.222164	0.202124	-0.304602	0.424672	0.6603	0.092782	0.163329	0.180335	0.002991	0.003408	0.439499
7,649	train	H1	H27	1,000	1,000	50	49.2	51.6	4.74215	-5.779832	-2.999663	-3.008096	55.393848	68.107016	58.572793	4.74215	5.779832	0	9.048643	21.746849	33.527413	1.026056	1.018674	6.080178
7,649	train	H0	H28	20	20	0	0	0	-1.758256	1.758256	1.502536	1.503319	2.960257	3.450362	3.150782	-1.758256	1.758256	0.074969	2.259968	2.813359	3.12905	0.616215	0.640977	-1.780655
7,649	train	H1	H28	20	20	0	0	0	-0.432801	0.432801	0.012758	0.012448	0.766619	0.722728	0.801182	-0.432801	0.432801	0.661158	0.000155	0.072359	0.186182	0.160582	0.118316	-0.438315
7,649	train	H0	H28	30	30	0	0	0	0.665299	-0.665299	-0.709048	-0.701441	0.505673	2.698369	0.500714	0.665299	0.709048	0.440505	0.492019	0.405862	0.440648	0.248034	0.174316	0.670914
7,649	train	H1	H28	30	30	0	0	0	1.227107	-1.227107	-1.482601	-1.506889	2.506155	5.52421	2.358397	-1.506889	1.482601	0.137198	2.270714	1.753147	1.504559	1.885372	1.725183	1.237463
7,649	train	H0	H28	50	50	0	0	0	-0.068938	0.068938	0.308793	0.306283	0.175419	1.577592	0.267141	-0.068938	0.308793	0.664481	0.093809	0.036718	0.004736	0.271086	0.362753	-0.069285
7,649	train	H1	H28	50	50	0	0	0	1.544216	-1.544216	-1.16879	-1.164457	2.582763	2.593245	2.548433	1.544216	1.544216	0.120663	1.355959	2.074018	2.390358	0.212163	0.295704	1.551995
7,649	train	H0	H28	75	75	0	0	0	0.084571	-0.084571	0.321619	0.319918	0.927945	1.707444	0.671468	0.319918	0.321619	0.63528	0.102347	0.000729	0.007132	0.482555	0.405865	0.084287
7,649	train	H1	H28	75	75	0	0	0	-0.614552	0.614552	0.828386	0.825467	0.710785	3.09211	0.727897	0.825467	0.828386	0.377641	0.681396	0.709054	0.378251	0.6531	0.83925	-0.612486
7,649	train	H0	H28	100	100	0	0	0	1.461147	-1.461147	-1.447029	-1.445551	2.194575	2.274914	2.257501	1.461147	1.461147	0.142972	2.089618	2.166153	2.137109	1.045004	1.040521	1.464813
7,649	train	H1	H28	100	100	0	0	0	-0.390942	0.390942	0.278067	0.278228	0.657564	6.570835	0.170244	0.278228	0.390942	0.08691	0.077411	0.241744	0.152646	0.009077	0.037556	-0.391923
7,649	train	H0	H28	150	150	0	0	0	-0.419302	0.419302	0.517694	0.514766	0.28169	0.487713	0.268268	0.514766	0.517694	0.674484	0.264984	0.201108	0.175577	0.255885	0.231784	-0.420002
7,649	train	H1	H28	150	150	0	0	0	0.664227	-0.664227	-1.292016	-1.308941	4.118562	10.441898	2.812698	0.664227	1.292016	0.01516	1.713326	0.614092	0.441108	2.789035	2.616833	0.665337
7,649	train	H0	H28	200	200	0	0	0	0.39009	-0.39009	-0.066363	-0.066116	0.538951	0.815954	0.456252	-0.066116	0.39009	0.696109	0.004371	0.083021	0.152034	0.090851	0.068007	0.390579
7,649	train	H1	H28	200	200	0	0	0	1.970344	-1.970344	-1.869667	-1.874288	3.676453	4.687452	3.988377	1.970344	1.970344	0.048517	3.512955	3.615446	3.888744	1.621826	1.569186	1.972812
7,649	train	H0	H28	300	300	0	0	0	-1.235465	1.235465	1.083196	1.081782	1.709694	2.135721	1.527125	-1.235465	1.235465	0.216274	1.170251	1.580266	1.526808	0.398812	0.457172	-1.236496
7,649	train	H1	H28	300	300	0	0	0	-0.612316	0.612316	0.893703	0.892697	0.803327	1.977285	0.903917	0.892697	0.893703	0.539991	0.796909	0.763209	0.375076	0.856599	0.936301	-0.612827
7,649	train	H0	H28	500	500	0	0	0	0.705333	-0.705333	-0.931148	-0.930243	0.880739	1.17894	0.907279	0.705333	0.931148	0.480383	0.865351	0.700582	0.497493	0.811614	0.85968	0.705686
7,649	train	H1	H28	500	500	0	0	0	0.663508	-0.663508	-1.037871	-1.0411	2.185664	7.908057	1.330575	-1.0411	1.037871	0.047951	1.083888	0.435719	0.440203	1.305371	1.225486	0.66384
7,649	train	H0	H28	1,000	1,000	0	0	0	-1.203345	1.203345	0.567404	0.566851	2.1254	2.444898	2.358318	-1.203345	1.203345	0.228726	0.32132	0.970807	1.448072	0.051086	0.055645	-1.203646
7,649	train	H1	H28	1,000	1,000	0	0	0	0.825436	-0.825436	-0.136424	-0.136505	0.223463	9.255603	2.043988	-0.136505	0.825436	0.026079	0.018634	0.085052	0.681802	0.327198	0.364359	0.825643
7,649	train	H0	H28	20	20	10	5	0	-0.520821	0.514193	0.599197	0.584603	0.36749	1.571178	0.341775	0.584603	0.599197	0.601801	0.341761	0.254189	0.262402	0.380036	0.291374	-0.521812
7,649	train	H1	H28	20	20	10	5	15	1.052479	-1.066851	-0.864452	-0.850317	0.905422	4.897027	1.15596	1.052479	1.066851	0.179494	0.72304	0.869448	1.136259	0.125986	0.073062	1.109387
7,649	train	H0	H28	30	30	10	20	16.666667	-0.120148	0.10023	0.176389	0.174373	0.044797	0.057982	0.041901	-0.120148	0.176389	0.918994	0.030406	0.014644	0.009986	0.088251	0.090884	-0.101702
7,649	train	H1	H28	30	30	10	13.333333	6.666667	0.010849	0.022629	-0.206623	-0.207142	0.551647	7.131058	0.236482	-0.207142	0.206623	0.067836	0.042908	0.000836	0.000509	0.180147	0.072844	-0.026854
7,649	train	H0	H28	50	50	10	4	8	0.484869	-0.526385	0.506914	0.509713	4.092656	4.372361	4.646891	0.509713	0.526385	0.097936	0.259808	0.006913	0.27734	2.265765	2.16604	0.537025
7,649	train	H1	H28	50	50	10	10	10	-0.35654	0.343135	0.870586	0.878137	1.742396	2.031536	1.894992	0.878137	0.870586	0.387711	0.771124	0.356311	0.117514	1.82569	1.831217	-0.342773
7,649	train	H0	H28	75	75	10	8	6.666667	-0.08309	0.09168	-0.311779	-0.310845	1.230138	4.889009	0.727547	-0.08309	0.311779	0.180107	0.096624	0.000219	0.008383	0.406162	0.304954	-0.084366
7,649	train	H1	H28	75	75	10	10.666667	14.666667	0.357193	-0.362291	-0.296626	-0.294643	0.09837	0.17175	0.131331	0.357193	0.362291	0.715511	0.086814	0.086885	0.131023	0.011287	0.012383	0.364465
7,649	train	H0	H28	100	100	10	8	8	-1.136387	1.140586	1.141556	1.141088	1.305159	3.965129	1.372486	-1.136387	1.141556	0.249758	1.302083	1.25811	1.301579	0.758731	0.668503	-1.150937
7,649	train	H1	H28	100	100	10	15	9	-1.155873	1.152493	1.18773	1.188279	1.637905	5.288941	1.448877	-1.155873	1.18773	0.151822	1.412008	1.675314	1.329169	0.805502	0.891787	-1.162935
7,649	train	H0	H28	150	150	10	10	9.333333	-2.738658	2.761661	1.933621	1.93919	8.586695	9.366264	8.802214	-2.738658	2.761661	0.005339	3.760459	6.430413	7.680007	0.133631	0.1339	-2.785838
7,649	train	H1	H28	150	150	10	8	10.666667	-0.004095	0.021772	-0.318106	-0.317732	0.426863	1.424729	0.506835	-0.317732	0.318106	0.699749	0.100954	0.013355	0.000474	0.339272	0.393827	-0.021913
7,649	train	H0	H28	200	200	10	9.5	11.5	-0.912487	0.947285	0.470685	0.470459	0.737498	5.289983	1.434793	-0.912487	0.947285	0.151754	0.221332	0.44898	0.897956	0.027628	0.037247	-0.954608
7,649	train	H1	H28	200	200	10	6	11.5	1.141087	-1.108696	-1.726432	-1.735469	4.859869	8.707851	3.891571	1.141087	1.726432	0.033438	3.011852	1.531064	1.229017	3.852389	3.684815	1.119742
7,649	train	H0	H28	300	300	10	11	11.666667	0.646636	-0.653841	-0.229666	-0.22976	1.589809	2.297253	1.02809	-0.22976	0.653841	0.509959	0.05279	0.363854	0.427289	0.092411	0.093841	0.658902
7,649	train	H1	H28	300	300	10	9.333333	8.333333	-0.312107	0.321996	0.118985	0.118736	0.505223	1.259152	0.219322	-0.312107	0.321996	0.738855	0.014098	0.126906	0.103703	0.021924	0.01385	-0.324047
7,649	train	H0	H28	500	500	10	10.4	9.2	-0.108601	0.107126	0.137307	0.137081	0.044716	0.104439	0.019688	0.137081	0.137307	0.914015	0.018791	0.00414	0.011474	0.018653	0.021003	-0.107976
7,649	train	H1	H28	500	500	10	11.8	11.2	0.569612	-0.553247	-0.843514	-0.846057	1.793824	15.369077	0.904181	0.569612	0.843514	0.001527	0.715813	0.223021	0.306078	0.927882	0.857038	0.558759
7,649	train	H0	H28	1,000	1,000	10	9.3	10.4	-0.123711	0.114394	0.253632	0.253666	0.134169	0.213003	0.115412	0.253666	0.253632	0.908152	0.064346	0.025764	0.013084	0.119022	0.113843	-0.11537
7,649	train	H1	H28	1,000	1,000	10	9.6	8.1	0.548138	-0.597058	0.396057	0.396714	1.017099	20.281976	4.073329	0.396714	0.597058	0.000148	0.157382	0.018347	0.356941	1.655548	1.709508	0.599705

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