Split (1)

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
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7,644	train	H1	H23	20	20	20	20	5	-1.038496	1.063945	0.533637	0.522377	2.090076	2.019824	2.119482	-1.038496	1.063945	0.276773	0.272878	0.753702	1.127684	0.055956	0.022439	-1.087597
7,644	train	H0	H23	30	30	20	20	16.666667	-0.283907	0.318332	-0.195554	-0.19439	1.903879	5.251149	1.44184	-0.283907	0.318332	0.154304	0.037787	0.034435	0.100699	0.631575	0.447403	-0.317135
7,644	train	H1	H23	30	30	20	6.666667	20	0.084793	-0.039784	-0.893939	-0.888475	3.791113	3.766359	3.718738	0.084793	0.893939	0.155771	0.789388	0.141602	0.001011	2.657559	2.443558	0.048832
7,644	train	H0	H23	50	50	20	12	12	-0.756321	0.739514	0.338567	0.337304	1.509015	2.820515	1.094108	-0.756321	0.739514	0.420134	0.113774	0.454551	0.557203	0.044887	0.010484	-0.780725
7,644	train	H1	H23	50	50	20	22	28	-0.908097	0.981838	0.300791	0.299229	2.427377	2.71021	2.466539	-0.908097	0.981838	0.291338	0.089538	0.568126	0.966155	0.351436	0.326145	-1.03417
7,644	train	H0	H23	75	75	20	18.666667	22.666667	-1.254299	1.299872	0.810606	0.810885	2.390832	2.557442	2.254154	-1.254299	1.299872	0.180999	0.657535	1.356797	1.695053	0.000021	0.002845	-1.337686
7,644	train	H1	H23	75	75	20	18.666667	21.333333	0.279212	-0.254801	-0.282639	-0.283863	0.292881	9.298049	0.082703	-0.283863	0.282639	0.02558	0.080578	0.176464	0.061589	0.05158	0.125948	0.254685
7,644	train	H0	H23	100	100	20	14	19	-0.458307	0.457268	0.200942	0.199846	0.499101	0.561487	0.427662	-0.458307	0.457268	0.636734	0.039938	0.148634	0.210018	0.013864	0.013081	-0.47227
7,644	train	H1	H23	100	100	20	20	13	-2.324684	2.378887	1.545176	1.543464	6.400648	9.019132	7.057617	-2.324684	2.378887	0.014254	2.38228	4.384285	5.703823	0.000894	0.000128	-2.450786
7,644	train	H0	H23	150	150	20	21.333333	27.333333	-0.440469	0.436377	0.353523	0.353928	0.169008	1.608307	0.208584	0.353928	0.436377	0.641055	0.125265	0.17479	0.193823	0.027252	0.014306	-0.466224
7,644	train	H1	H23	150	150	20	19.333333	18	-0.678012	0.852478	-0.826095	-0.843547	15.432201	19.245737	13.99144	-0.678012	0.852478	0.000243	0.711571	0.05101	0.729936	7.417354	7.160638	-0.885852
7,644	train	H0	H23	200	200	20	16	14.5	-0.721426	0.734213	0.61567	0.615105	0.423148	2.227081	0.525751	-0.721426	0.734213	0.449039	0.378354	0.4402	0.542948	0.124979	0.101095	-0.757019
7,644	train	H1	H23	200	200	20	18.5	20	-0.189309	0.218831	-0.158191	-0.15778	0.716385	1.176619	0.625476	-0.15778	0.218831	0.731442	0.024895	0.007972	0.048482	0.25657	0.217581	-0.227993
7,644	train	H0	H23	300	300	20	22	22	-0.31803	0.360525	0.101902	0.101708	0.185883	0.806052	0.292112	0.101708	0.360525	0.705248	0.010344	0.061665	0.132021	0.031746	0.040673	-0.378246
7,644	train	H1	H23	300	300	20	22	20.666667	0.545371	-0.459949	-0.983677	-0.987487	1.368128	3.62993	1.631136	-0.987487	0.983677	0.304298	0.97513	0.498949	0.209236	1.569774	1.736717	0.479582
7,644	train	H0	H23	500	500	20	21.4	22.4	0.543953	-0.590652	-0.073804	-0.073799	1.368592	1.950099	1.268195	0.543953	0.590652	0.530414	0.005446	0.213519	0.347175	0.259528	0.286278	0.610934
7,644	train	H1	H23	500	500	20	17.8	18.8	0.312028	-0.216091	-1.298661	-1.307769	7.253555	9.959812	6.060826	-1.307769	1.298661	0.018911	1.710261	0.296565	0.046072	4.878374	4.768071	0.215597
7,644	train	H0	H23	1,000	1,000	20	20.5	21.3	-0.627882	0.670249	0.357696	0.357413	0.462712	1.144449	0.620687	-0.627882	0.670249	0.485902	0.127744	0.286943	0.450577	0.002832	0.004081	-0.696841
7,644	train	H1	H23	1,000	1,000	20	19.3	19.5	-0.151705	0.275799	-0.876798	-0.879233	5.449201	5.92422	5.597774	-0.151705	0.876798	0.060878	0.773051	0.026455	0.076449	3.59103	3.677213	-0.287584
7,644	train	H0	H23	20	20	30	15	40	1.788684	-1.777038	-1.600297	-1.575573	3.069354	4.345971	3.213905	-1.575573	1.777038	0.054507	2.482431	2.963764	3.096479	0.751859	0.701044	1.922788
7,644	train	H1	H23	20	20	30	25	30	-0.193002	0.387322	-0.587362	-0.616365	7.470096	8.340196	7.207494	-0.616365	0.587362	0.027222	0.379905	0.001273	0.151076	4.493558	4.216543	-0.387911
7,644	train	H0	H23	30	30	30	30	26.666667	-0.903995	0.864478	0.93646	0.948033	0.898776	1.048394	0.901242	0.948033	0.93646	0.363161	0.898767	0.794847	0.762253	0.770928	0.766323	-0.909358
7,644	train	H1	H23	30	30	30	16.666667	26.666667	0.630405	-0.638013	-0.421013	-0.419188	0.763133	3.349217	0.533051	0.630405	0.638013	0.340851	0.175718	0.368889	0.381552	0.000462	0.009907	0.666778
7,644	train	H0	H23	50	50	30	30	40	0.582914	-0.520023	-0.828457	-0.822403	0.967572	1.724758	0.883007	0.582914	0.828457	0.593796	0.676346	0.379487	0.241064	0.731307	0.661332	0.533344
7,644	train	H1	H23	50	50	30	44	34	0.027102	0.09875	-0.566904	-0.585649	4.127898	9.255094	3.634263	-0.585649	0.566904	0.026085	0.342985	0.01306	0.015796	2.33975	2.148413	-0.139435
7,644	train	H0	H23	75	75	30	26.666667	29.333333	-0.229744	0.248495	0.047603	0.047512	0.228447	0.240058	0.215158	-0.229744	0.248495	0.785726	0.002257	0.033831	0.065141	0.023199	0.021863	-0.271865
7,644	train	H1	H23	75	75	30	28	26.666667	0.467411	-0.497391	-0.304447	-0.302032	0.313067	0.335172	0.336987	-0.302032	0.497391	0.612478	0.091223	0.180145	0.243035	0.001643	0.002222	0.50654
7,644	train	H0	H23	100	100	30	36	35	-0.844362	0.874869	0.558803	0.555717	1.097494	1.340988	1.111347	-0.844362	0.874869	0.351257	0.308822	0.629805	0.774597	0.000357	0.001918	-0.932155
7,644	train	H1	H23	100	100	30	32	31	-1.598205	1.667957	1.197466	1.203708	2.992029	5.127182	3.248458	-1.598205	1.667957	0.077969	1.448914	2.188007	2.798072	0.084148	0.069227	-1.762593
7,644	train	H0	H23	150	150	30	32.666667	22	-0.175249	0.01727	0.818844	0.81433	2.197973	2.448308	2.576499	0.81433	0.818844	0.275753	0.663133	0.147209	0.000416	2.146054	2.118481	-0.024828
7,644	train	H1	H23	150	150	30	30.666667	34	1.50699	-1.417801	-1.952063	-1.983915	5.001197	5.632015	4.719241	-1.983915	1.952063	0.094456	3.93592	2.542474	1.985138	4.58282	4.57434	1.523775
7,644	train	H0	H23	200	200	30	22	33.5	0.744887	-0.886324	-0.380019	-0.380105	0.705143	2.05542	1.11989	0.744887	0.886324	0.350525	0.144479	0.369143	0.778329	0.042781	0.045431	0.933571
7,644	train	H1	H23	200	200	30	33	33	-0.00439	0.045516	-0.346516	-0.345256	1.189122	4.209613	0.818525	-0.00439	0.346516	0.239701	0.119202	0.0007	0.002526	0.526447	0.402504	-0.050562
7,644	train	H0	H23	300	300	30	29.333333	29.666667	0.176752	-0.19507	0.094641	0.094372	0.635057	1.121663	0.435648	0.094372	0.19507	0.771847	0.008906	0.02284	0.036701	0.201043	0.186033	0.202419
7,644	train	H1	H23	300	300	30	27	33	0.462043	-0.374659	-0.864519	-0.862473	1.659359	2.372756	1.457537	-0.862473	0.864519	0.482503	0.743859	0.267634	0.137782	1.357513	1.224207	0.391752
7,644	train	H0	H23	500	500	30	30.2	30	-0.581156	0.625902	0.329476	0.328919	0.590948	0.575181	0.603338	0.328919	0.625902	0.506648	0.108187	0.27226	0.394116	0.006708	0.005502	-0.664066
7,644	train	H1	H23	500	500	30	30.4	30.6	-0.747542	0.903583	0.037661	0.037669	2.642509	6.381241	3.365345	-0.747542	0.903583	0.094466	0.001419	0.304987	0.822138	0.910576	0.998362	-0.957667
7,644	train	H0	H23	1,000	1,000	30	31	30.8	0.613316	-0.638434	-0.196549	-0.196625	1.782342	3.29142	1.20711	-0.196625	0.638434	0.348839	0.038661	0.340786	0.404338	0.169301	0.154311	0.676369
7,644	train	H1	H23	1,000	1,000	30	31.5	29.9	0.559205	-0.607696	-0.303297	-0.303109	0.532703	0.53887	0.585872	0.559205	0.607696	0.521057	0.091875	0.23784	0.366044	0.017	0.018666	0.641717
7,644	train	H0	H23	20	20	40	65	55	-0.647505	0.379987	0.613565	0.603327	0.427716	0.880745	0.412079	-0.647505	0.613565	0.513724	0.364004	0.37821	0.292612	0.341408	0.416602	-0.65305
7,644	train	H1	H23	20	20	40	30	50	0.638321	-0.326414	-1.405389	-1.392026	7.404858	7.365796	7.441914	-1.392026	1.405389	0.024211	1.937736	0.580929	0.084602	5.904162	5.699692	0.384309
7,644	train	H0	H23	30	30	40	50	43.333333	0.517631	-0.728763	-0.050195	-0.050799	3.454505	4.957648	3.262013	-0.050799	0.728763	0.174925	0.002581	0.23863	0.506705	0.771959	0.655881	0.78394
7,644	train	H1	H23	30	30	40	36.666667	53.333333	-0.119801	0.518465	-0.689628	-0.69473	8.090214	8.176596	8.158459	-0.69473	0.689628	0.01692	0.48265	0.003303	0.291426	4.759672	4.510897	-0.542716
7,644	train	H0	H23	50	50	40	38	28	0.065748	-0.137692	0.06139	0.06105	0.129863	0.14129	0.121444	0.06105	0.137692	0.896082	0.003727	0.003662	0.016764	0.11176	0.099399	0.130612
7,644	train	H1	H23	50	50	40	36	38	-1.661125	1.59599	1.644318	1.691723	2.877017	4.327229	2.916019	-1.661125	1.644318	0.076282	2.861926	2.73863	2.632754	1.781145	1.69854	-1.772678
7,644	train	H0	H23	75	75	40	40	53.333333	2.952973	-2.785246	-3.0472	-3.143931	9.884341	9.95674	9.884741	-3.143931	3.0472	0.002474	9.8843	9.256599	7.854951	6.727415	6.822885	3.026538
7,644	train	H1	H23	75	75	40	33.333333	34.666667	-0.426128	0.492367	0.169193	0.168518	0.497861	0.507495	0.533256	-0.426128	0.492367	0.586706	0.028398	0.136321	0.251905	0.032355	0.02831	-0.543615
7,644	train	H0	H23	100	100	40	45	49	0.517028	-0.481766	-0.531395	-0.52773	0.287504	0.427419	0.281208	0.517028	0.531395	0.607058	0.278499	0.286656	0.218631	0.126462	0.143786	0.514278
7,644	train	H1	H23	100	100	40	37	52	1.934007	-2.008424	-1.759997	-1.755251	3.626319	5.71304	3.803293	1.934007	2.008424	0.030559	3.080905	3.639642	3.998419	0.982476	0.917529	2.162775
7,644	train	H0	H23	150	150	40	34	38.666667	2.164115	-2.235474	-1.803119	-1.807254	5.02797	5.464956	5.034272	2.164115	2.235474	0.016304	3.266167	4.678768	4.979651	0.724414	0.727742	2.402028
7,644	train	H1	H23	150	150	40	37.333333	39.333333	0.392755	-0.249431	-0.917379	-0.921413	3.100217	4.627919	2.794887	-0.921413	0.917379	0.20116	0.849001	0.219546	0.058757	2.27019	2.174923	0.256629
7,644	train	H0	H23	200	200	40	44.5	43.5	-1.696847	1.696762	1.691197	1.702344	2.94533	3.120082	2.98115	1.702344	1.696762	0.058475	2.897976	2.845636	2.916457	1.659371	1.682365	-1.89212
7,644	train	H1	H23	200	200	40	44	36.5	-1.007865	0.991175	0.98046	0.976533	1.003921	1.044915	1.025395	0.976533	0.991175	0.284719	0.953617	0.977784	0.990635	0.49037	0.500081	-1.069778
7,644	train	H0	H23	300	300	40	43	42.333333	0.742427	-0.598656	-0.83144	-0.831218	0.703237	3.458614	0.701572	0.742427	0.83144	0.32617	0.690923	0.66766	0.350776	0.548346	0.657175	0.646202
7,644	train	H1	H23	300	300	40	39.333333	36.333333	1.75833	-1.845869	-1.359962	-1.367292	3.663814	3.725017	3.746866	1.75833	1.845869	0.048591	1.869486	2.861456	3.398383	0.171498	0.179775	1.97216
7,644	train	H0	H23	500	500	40	41.4	38.6	-0.442206	0.233153	0.88602	0.884126	1.512032	2.696183	1.814475	0.884126	0.88602	0.403638	0.781679	0.295398	0.056219	1.738607	1.795201	-0.259142
7,644	train	H1	H23	500	500	40	40.2	39.2	-0.827758	1.051632	0.123952	0.124009	3.332844	5.531141	3.840615	-0.827758	1.051632	0.136788	0.015378	0.46831	1.114379	0.952573	0.967696	-1.152703
7,644	train	H0	H23	1,000	1,000	40	38.9	41.8	-0.380396	0.528977	-0.282507	-0.282539	3.527555	3.844413	3.154957	-0.380396	0.528977	0.206495	0.079828	0.100057	0.283121	1.465652	1.487499	-0.575417
7,644	train	H1	H23	1,000	1,000	40	40.6	40.7	1.028794	-0.84513	-1.555954	-1.557841	3.906404	3.939729	3.842334	-1.557841	1.555954	0.146436	2.426867	1.229321	0.708335	3.763241	3.76186	0.912336
7,644	train	H0	H23	20	20	50	30	55	2.097245	-2.037106	-2.075495	-2.089987	4.464285	4.506317	4.458771	-2.089987	2.075495	0.026919	4.368046	4.400037	4.136489	2.24737	2.337292	2.212695
7,644	train	H1	H23	20	20	50	50	30	0.220714	-0.333611	-0.085503	-0.086419	0.202553	0.532896	0.228155	-0.086419	0.333611	0.741067	0.007468	0.039477	0.08906	0.139291	0.139415	0.330441
7,644	train	H0	H23	30	30	50	50	50	-1.680841	1.595189	1.634342	1.676456	2.936622	3.102052	2.948087	-1.680841	1.634342	0.060268	2.810505	2.876229	2.645735	1.546606	1.514665	-1.878826
7,644	train	H1	H23	30	30	50	50	43.333333	-0.420589	0.534448	0.05975	0.059978	1.744592	3.086516	1.5959	0.059978	0.534448	0.378477	0.003597	0.179163	0.357185	0.535798	0.367815	-0.654003
7,644	train	H0	H23	50	50	50	56	52	-0.589632	0.492927	0.714171	0.707298	0.559032	0.798893	0.572182	-0.589632	0.714171	0.539389	0.500271	0.378	0.271721	0.639621	0.724566	-0.613737
7,644	train	H1	H23	50	50	50	62	52	0.305857	-0.05451	-0.714779	-0.746297	3.684685	4.334131	3.558662	-0.746297	0.714779	0.168751	0.55696	0.073032	0.000586	2.591379	2.49579	0.009356
7,644	train	H0	H23	75	75	50	44	44	-0.385275	0.224691	0.551977	0.554001	0.448589	0.712415	0.487674	0.554001	0.551977	0.783615	0.306918	0.137937	0.060053	0.564701	0.605899	-0.267195
7,644	train	H1	H23	75	75	50	36	52	2.190391	-2.161792	-2.284258	-2.289805	5.26085	5.317681	5.255899	-2.289805	2.284258	0.016796	5.243207	5.126613	4.589344	3.329537	3.410858	2.391146
7,644	train	H0	H23	100	100	50	54	54	-0.359466	0.419941	0.017766	0.01768	1.727325	4.421318	1.357463	0.01768	0.419941	0.219417	0.000313	0.165941	0.197446	0.52564	0.357336	-0.496257
7,644	train	H1	H23	100	100	50	48	56	-0.06939	0.235635	-0.338703	-0.335929	1.650027	1.679021	1.602332	-0.335929	0.338703	0.448805	0.112848	0.001631	0.062849	0.844201	0.763178	-0.276889
7,644	train	H0	H23	150	150	50	57.333333	49.333333	0.798869	-0.832933	-0.901268	-0.912641	0.934241	3.283194	0.882526	-0.912641	0.901268	0.349989	0.832913	0.71242	0.659394	0.712916	0.68158	0.934089
7,644	train	H1	H23	150	150	50	56	48.666667	-1.231731	1.354851	0.77557	0.777364	3.726771	4.322744	3.498868	-1.231731	1.354851	0.120538	0.604295	1.513677	1.878212	0.14725	0.112178	-1.552518
7,644	train	H0	H23	200	200	50	49.5	47	-2.323107	2.457241	1.69784	1.699411	7.66663	7.837025	7.380489	-2.323107	2.457241	0.00584	2.887998	5.275305	6.124159	0.005654	0.027534	-2.756629
7,644	train	H1	H23	200	200	50	55	48.5	0.975301	-1.035053	-0.983288	-0.995169	0.991127	4.59917	1.000891	0.975301	1.035053	0.203613	0.990361	0.985679	1.048977	0.609685	0.524853	1.130478
7,644	train	H0	H23	300	300	50	49	48	-0.204877	0.143727	0.141689	0.14116	0.102541	0.434678	0.063755	-0.204877	0.143727	0.867807	0.019926	0.04322	0.02268	0.001645	0.004377	-0.166445
7,644	train	H1	H23	300	300	50	50	51.333333	-0.085859	0.510184	-0.884547	-0.887747	10.829437	11.926539	10.272309	-0.887747	0.884547	0.00588	0.788095	0.002224	0.271842	6.344754	6.195014	-0.582327
7,644	train	H0	H23	500	500	50	47	49.4	1.405366	-1.301044	-1.435432	-1.43687	2.14847	3.650412	2.086715	1.405366	1.435432	0.148662	2.064594	2.12315	1.674721	1.217582	1.311786	1.444274
7,644	train	H1	H23	500	500	50	52.2	51.2	0.086613	0.298132	-0.910777	-0.916414	7.891259	8.327363	7.571251	-0.916414	0.910777	0.022695	0.839815	0.009085	0.093206	5.048708	5.001623	-0.343587
7,644	train	H0	H23	1,000	1,000	50	51.9	51.2	-1.295458	1.124141	1.496958	1.497387	2.388431	2.433612	2.387465	1.497387	1.496958	0.206167	2.242168	1.725575	1.275904	2.155503	2.047608	-1.264176
7,644	train	H1	H23	1,000	1,000	50	50.2	48.4	-0.559443	0.936673	-0.384527	-0.38542	7.740849	8.130966	7.869665	-0.38542	0.936673	0.019549	0.148549	0.235779	0.888212	3.626069	3.61683	-1.056228
7,644	train	H0	H24	20	20	0	0	0	-0.946753	0.946753	0.945495	0.938114	0.880575	3.695117	0.936788	-0.946753	0.946753	0.296324	0.880057	0.813292	0.893345	0.521988	0.420186	-0.958814
7,644	train	H1	H24	20	20	0	0	0	-0.595102	0.595102	1.242643	1.272335	3.176486	3.573535	3.366073	1.272335	1.242643	0.185809	1.618837	0.822192	0.353931	3.286863	3.294059	-0.602683
7,644	train	H0	H24	30	30	0	0	0	0.029569	-0.029569	0.410042	0.402882	0.721242	0.630199	0.809614	0.029569	0.410042	0.667106	0.162314	0.027992	0.00087	0.695215	0.668127	0.029818
7,644	train	H1	H24	30	30	0	0	0	-0.827928	0.827928	1.056532	1.054534	1.227137	1.751794	1.167607	1.054534	1.056532	0.403766	1.112043	0.82374	0.684305	1.186737	1.102043	-0.834915
7,644	train	H0	H24	50	50	0	0	0	0.275753	-0.275753	-0.620641	-0.61391	0.561903	0.525051	0.666475	-0.61391	0.620641	0.7166	0.376885	0.207632	0.075822	0.569569	0.554747	0.277142
7,644	train	H1	H24	50	50	0	0	0	-0.227496	0.227496	0.438758	0.437839	0.646664	4.68431	0.306105	-0.227496	0.438758	0.196428	0.191703	0.046564	0.0516	0.338959	0.2449	-0.228642
7,644	train	H0	H24	75	75	0	0	0	-0.896457	0.896457	0.28422	0.282659	2.088907	2.344951	1.866537	-0.896457	0.896457	0.37162	0.079896	0.497535	0.803274	0.177184	0.121284	-0.893443
7,644	train	H1	H24	75	75	0	0	0	-0.272508	0.272508	0.413591	0.413164	0.499572	4.516588	0.206617	0.413164	0.413591	0.210815	0.170705	0.047024	0.074124	0.227415	0.158803	-0.271592
7,644	train	H0	H24	100	100	0	0	0	2.294342	-2.294342	-2.664664	-2.739526	7.791823	9.228379	7.599687	-2.739526	2.664664	0.021443	7.505002	6.093434	5.290934	6.228786	6.116277	2.3001
7,644	train	H1	H24	100	100	0	0	0	-0.820979	0.820979	-0.05715	-0.057364	4.135777	6.142625	3.346946	-0.820979	0.820979	0.104874	0.003291	0.300298	0.673362	0.961519	0.823843	-0.823039
7,644	train	H0	H24	150	150	0	0	0	0.788021	-0.788021	-1.084642	-1.084357	1.269601	1.290865	1.279899	0.788021	1.084642	0.429915	1.17583	0.850442	0.62047	1.175752	1.166667	0.789338
7,644	train	H1	H24	150	150	0	0	0	-1.408321	1.408321	1.762536	1.775794	3.467255	5.343358	3.252151	1.775794	1.762536	0.148314	3.153445	2.312577	1.983837	2.969144	2.852193	-1.410675
7,644	train	H0	H24	200	200	0	0	0	-1.949586	1.949586	0.993215	0.99276	5.701526	5.454144	5.848343	-1.949586	1.949586	0.050935	0.985572	2.681615	3.808863	0.095078	0.072307	-1.952027
7,644	train	H1	H24	200	200	0	0	0	0.009514	-0.009514	-0.539135	-0.538683	0.378672	3.301778	1.147934	-0.538683	0.539135	0.347395	0.29018	0.174539	0.000091	0.938317	1.055291	0.009526
7,644	train	H0	H24	300	300	0	0	0	0.368332	-0.368332	-0.234013	-0.233408	0.256974	0.375056	0.165797	-0.233408	0.368332	0.712397	0.054479	0.140515	0.135592	0.000383	0.000032	0.368639
7,644	train	H1	H24	300	300	0	0	0	0.140362	-0.140362	-0.345759	-0.344842	0.119408	0.573938	0.220928	-0.344842	0.345759	0.888282	0.118916	0.110825	0.019706	0.209989	0.236523	0.140479
7,644	train	H0	H24	500	500	0	0	0	0.300878	-0.300878	-0.252105	-0.25201	0.064626	0.234419	0.090843	0.300878	0.300878	0.763393	0.063509	0.054948	0.090494	0.015398	0.023279	0.301028
7,644	train	H1	H24	500	500	0	0	0	0.647961	-0.647961	-0.21439	-0.214982	2.628677	8.657835	0.922319	-0.214982	0.647961	0.034204	0.046217	0.517485	0.420097	0.060201	0.040958	0.648285
7,644	train	H0	H24	1,000	1,000	0	0	0	0.361646	-0.361646	-0.229052	-0.228818	0.14752	0.123885	0.159528	-0.228818	0.361646	0.717549	0.052358	0.092584	0.130768	0.000741	0.000354	0.361737
7,644	train	H1	H24	1,000	1,000	0	0	0	-1.014545	1.014545	1.69675	1.704882	5.796897	12.145699	3.826857	1.704882	1.69675	0.0069	2.906623	1.14532	1.029567	3.78165	3.692324	-1.014799

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