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
7,643	train	H0	H23	20	20	40	40	40	0.415346	-0.602804	0.14025	0.139764	2.942005	3.0845	2.832642	0.139764	0.602804	0.242605	0.019534	0.098859	0.339523	1.171368	0.986853	0.628307
7,643	train	H1	H23	20	20	40	30	45	-0.740124	0.707343	0.787569	0.831615	0.778221	3.236245	0.749395	-0.740124	0.787569	0.356615	0.691584	0.53525	0.500426	0.995062	0.8935	-0.757711
7,643	train	H0	H23	30	30	40	30	63.333333	1.269946	-0.971163	-1.917873	-1.889422	5.968768	6.02894	5.920902	-1.889422	1.917873	0.051796	3.569914	1.795443	0.917951	5.517245	5.329189	1.113413
7,643	train	H1	H23	30	30	40	40	43.333333	1.05667	-1.166938	-0.970123	-0.969994	1.190636	1.918135	1.138533	1.05667	1.166938	0.210554	0.940889	1.239013	1.255781	0.258102	0.309127	1.252043
7,643	train	H0	H23	50	50	40	32	40	1.361365	-1.236693	-1.659577	-1.690833	3.492825	4.177969	3.410066	-1.690833	1.659577	0.181766	2.858918	2.062074	1.504888	2.984864	2.895244	1.289581
7,643	train	H1	H23	50	50	40	38	52	0.125548	-0.054206	-0.437369	-0.434578	1.237341	1.976512	1.124355	-0.434578	0.437369	0.569966	0.188858	0.029665	0.002037	0.72585	0.672184	0.058317
7,643	train	H0	H23	75	75	40	49.333333	37.333333	-0.91131	0.878239	0.989497	0.985237	1.021116	4.901843	0.971814	-0.91131	0.989497	0.179127	0.970691	0.798304	0.801828	0.693134	0.503053	-0.977377
7,643	train	H1	H23	75	75	40	37.333333	40	0.131579	-0.228839	0.237849	0.237537	0.919333	1.017006	1.044879	0.237537	0.237849	0.593072	0.056424	0.000096	0.04426	0.593946	0.585291	0.226758
7,643	train	H0	H23	100	100	40	42	30	-1.917341	1.864956	1.668525	1.658699	3.76829	3.827031	3.749074	-1.917341	1.864956	0.03942	2.751281	3.483048	3.52533	0.706151	0.763023	-2.059772
7,643	train	H1	H23	100	100	40	36	46	0.202916	0.009864	-0.965433	-0.971725	6.343923	10.585169	5.517686	-0.971725	0.965433	0.014194	0.944249	0.077002	0.000529	4.073345	3.72113	-0.014348
7,643	train	H0	H23	150	150	40	38	46	1.125932	-1.056909	-1.323587	-1.318059	1.872322	1.953559	1.861831	1.125932	1.323587	0.25645	1.737279	1.42036	1.101893	1.591504	1.538736	1.134821
7,643	train	H1	H23	150	150	40	40.666667	48.666667	0.595482	-0.365737	-1.068935	-1.065053	2.186036	2.650072	2.455337	-1.065053	1.068935	0.292975	1.134338	0.509216	0.128272	2.306413	2.2841	0.398063
7,643	train	H0	H23	200	200	40	39.5	43	2.709529	-2.793821	-2.314951	-2.329286	7.529916	7.415952	7.737774	2.709529	2.793821	0.002284	5.425572	7.006003	7.810167	1.335044	1.443281	3.050638
7,643	train	H1	H23	200	200	40	39	42	-0.259944	0.39738	-0.196102	-0.19597	2.025224	2.346331	1.899025	-0.19597	0.39738	0.38693	0.038404	0.038445	0.160468	0.776057	0.761875	-0.428211
7,643	train	H0	H23	300	300	40	35.666667	41.333333	1.740484	-1.587537	-1.981397	-1.982471	3.959098	4.759536	4.003477	-1.982471	1.981397	0.086945	3.930193	3.288088	2.507393	3.163685	3.317919	1.711738
7,643	train	H1	H23	300	300	40	35	39	0.639585	-0.607722	-0.879231	-0.87841	1.240114	3.620178	1.02026	-0.87841	0.879231	0.305507	0.771603	0.392191	0.363935	0.999337	0.938463	0.650177
7,643	train	H0	H23	500	500	40	40.4	39.2	0.070014	0.024912	-0.275225	-0.275103	0.246544	1.197266	0.338826	0.070014	0.275225	0.75366	0.075682	0.013275	0.000849	0.241331	0.277656	-0.03191
7,643	train	H1	H23	500	500	40	38.6	37.4	0.028578	0.122065	-0.294557	-0.294276	0.330587	1.579985	0.515883	-0.294276	0.294557	0.663936	0.086598	0.007932	0.01578	0.346062	0.350107	-0.134772
7,643	train	H0	H23	1,000	1,000	40	38.2	41.3	0.830144	-0.613611	-1.369001	-1.368208	3.127288	3.56372	3.326817	-1.368208	1.369001	0.189492	1.871992	0.888464	0.372087	3.206853	3.200236	0.663457
7,643	train	H1	H23	1,000	1,000	40	40	40.6	-1.47811	1.785345	0.241515	0.241605	12.792183	13.086779	12.24124	-1.47811	1.785345	0.002197	0.058373	1.699208	3.201339	3.154048	3.053562	-1.942498
7,643	train	H0	H23	20	20	50	55	65	-0.324799	0.154161	0.496826	0.508549	1.093397	1.101041	1.083222	0.508549	0.496826	0.58181	0.258622	0.085353	0.024008	1.366509	1.237165	-0.213805
7,643	train	H1	H23	20	20	50	45	60	-0.186489	0.086143	0.320854	0.328844	0.514195	4.08624	0.450555	0.328844	0.320854	0.252301	0.108138	0.039298	0.016768	0.510257	0.459718	-0.105811
7,643	train	H0	H23	30	30	50	43.333333	60	0.72088	-0.712888	-0.800782	-0.792096	0.673797	2.58217	0.644126	-0.792096	0.800782	0.419436	0.627416	0.450335	0.458509	0.467264	0.319991	0.8074
7,643	train	H1	H23	30	30	50	46.666667	43.333333	-0.773075	0.50812	1.202247	1.215133	2.758228	3.097431	2.857477	1.215133	1.202247	0.239611	1.476549	0.682712	0.280819	3.05439	3.056147	-0.59572
7,643	train	H0	H23	50	50	50	58	40	-0.925055	0.664697	1.520595	1.504012	4.677446	5.877053	4.404694	1.504012	1.520595	0.110543	2.262053	0.976318	0.475053	4.750207	4.446789	-0.812867
7,643	train	H1	H23	50	50	50	48	54	0.350201	-0.483661	-0.181255	-0.181048	0.361713	2.064253	0.440569	-0.181048	0.483661	0.559178	0.032779	0.085266	0.194849	0.083172	0.101042	0.500863
7,643	train	H0	H23	75	75	50	50.666667	53.333333	-0.85542	0.792862	1.004444	1.00679	1.126456	2.691905	1.06191	-0.85542	1.004444	0.340449	1.013625	0.780092	0.682028	1.07853	0.929815	-0.953279
7,643	train	H1	H23	75	75	50	54.666667	49.333333	0.307033	-0.31647	-0.26622	-0.26582	0.119811	0.354912	0.102437	0.307033	0.31647	0.763343	0.07066	0.108927	0.076561	0.00094	0.003114	0.301094
7,643	train	H0	H23	100	100	50	51	43	0.446924	-0.449262	-0.221872	-0.221691	0.627534	1.176475	0.523744	0.446924	0.449262	0.635233	0.049147	0.171967	0.184613	0.071905	0.043834	0.474374
7,643	train	H1	H23	100	100	50	49	56	0.248638	-0.094139	-0.509274	-0.509662	0.820919	2.627185	0.947841	-0.509662	0.509274	0.452744	0.259756	0.082208	0.005457	0.782847	0.931224	0.080491
7,643	train	H0	H23	150	150	50	52	52.666667	-1.318944	1.374781	1.193272	1.199005	1.689817	3.578376	1.802943	1.199005	1.374781	0.120623	1.437614	1.647505	1.935925	0.480753	0.434086	-1.552165
7,643	train	H1	H23	150	150	50	46.666667	50	-1.05962	1.129396	0.708576	0.715163	2.021673	2.195403	2.065771	-1.05962	1.129396	0.199331	0.511458	0.989739	1.307348	0.006813	0.005701	-1.28346
7,643	train	H0	H23	200	200	50	48.5	54.5	0.845347	-0.647361	-1.225213	-1.222326	2.644164	3.819702	2.452435	-1.222326	1.225213	0.281603	1.494081	0.709862	0.403022	2.319399	2.075571	0.719288
7,643	train	H1	H23	200	200	50	45.5	51	0.395522	-0.327132	-0.527596	-0.528066	0.366347	0.446745	0.391437	-0.528066	0.527596	0.726157	0.278854	0.191566	0.097908	0.338201	0.332357	0.350242
7,643	train	H0	H23	300	300	50	50.333333	45.333333	-1.508737	1.238199	1.827268	1.832311	3.645433	5.335905	3.815454	-1.508737	1.827268	0.148417	3.357363	2.496763	1.560092	3.733974	3.964171	-1.393436
7,643	train	H1	H23	300	300	50	52	53.666667	-0.690569	0.904262	0.207141	0.207011	2.610547	2.548468	2.586683	-0.690569	0.904262	0.274352	0.042854	0.455905	0.839238	0.516244	0.487039	-1.036457
7,643	train	H0	H23	500	500	50	45.4	49.8	1.788116	-1.83556	-1.44489	-1.444362	3.894063	4.68259	3.6451	1.788116	1.83556	0.040743	2.086181	3.147728	3.344987	0.268572	0.331079	2.046132
7,643	train	H1	H23	500	500	50	53.8	50	-2.374234	2.473301	1.874851	1.875048	7.323406	7.454322	7.118575	-2.374234	2.473301	0.005511	3.515806	5.621147	6.156769	0.158629	0.170508	-2.775555
7,643	train	H0	H23	1,000	1,000	50	51.8	50.6	-0.115624	-0.000414	0.345872	0.346038	0.60729	1.147821	0.534692	0.346038	0.345872	0.765408	0.119743	0.016929	0.000027	0.45175	0.410499	-0.006162
7,643	train	H1	H23	1,000	1,000	50	48.4	47.2	-1.221446	1.667974	0.107351	0.107333	10.740079	12.715757	11.505734	0.107333	1.667974	0.003174	0.01152	1.18091	2.803655	3.375026	3.446951	-1.867796
7,643	train	H0	H24	20	20	0	0	0	-0.541002	0.541002	0.240337	0.234516	0.251434	2.925526	0.557521	-0.541002	0.541002	0.403251	0.054998	0.117987	0.292398	0.01092	0.044301	-0.547894
7,643	train	H1	H24	20	20	0	0	0	-1.027903	1.027903	1.520625	1.58586	4.18864	8.363125	3.766349	1.58586	1.520625	0.039074	2.514952	1.566247	1.055748	4.075097	3.84672	-1.040998
7,643	train	H0	H24	30	30	0	0	0	-1.108832	1.108832	1.903102	2.014688	6.942422	7.97213	7.316059	2.014688	1.903102	0.025783	4.058966	2.344439	1.237352	6.797697	6.868289	-1.118189
7,643	train	H1	H24	30	30	0	0	0	-0.13306	0.13306	0.146888	0.14417	0.031487	0.518659	0.020956	-0.13306	0.146888	0.893258	0.020785	0.009735	0.01763	0.023607	0.009394	-0.134183
7,643	train	H0	H24	50	50	0	0	0	-0.075832	0.075832	-0.090632	-0.089643	0.057449	0.035194	0.109307	-0.089643	0.090632	0.939249	0.008036	0.00079	0.005734	0.040916	0.029063	-0.076214
7,643	train	H1	H24	50	50	0	0	0	0.241284	-0.241284	-0.290803	-0.289505	0.084048	0.502421	0.084662	0.241284	0.290803	0.808393	0.083813	0.069035	0.058019	0.051401	0.079906	0.242499
7,643	train	H0	H24	75	75	0	0	0	1.727135	-1.727135	-2.02773	-2.067028	4.494793	6.610121	4.328078	1.727135	2.02773	0.085191	4.272605	3.400779	2.99199	3.485844	3.35218	1.72133
7,643	train	H1	H24	75	75	0	0	0	0.941561	-0.941561	-0.660439	-0.654762	0.962007	0.909332	1.000042	0.941561	0.941561	0.348041	0.428713	0.714465	0.885506	0.025981	0.044301	0.938396
7,643	train	H0	H24	100	100	0	0	0	-1.087308	1.087308	0.555208	0.551045	1.215587	3.285361	1.822021	-1.087308	1.087308	0.275697	0.303651	0.707566	1.182445	0.019456	0.035107	-1.090037
7,643	train	H1	H24	100	100	0	0	0	0.083075	-0.083075	-0.467985	-0.465509	0.294175	2.041739	0.644954	-0.465509	0.467985	0.563789	0.216698	0.128537	0.006907	0.533503	0.635363	0.083284
7,643	train	H0	H24	150	150	0	0	0	-0.744094	0.744094	0.353435	0.352063	1.087162	1.172049	0.910647	0.352063	0.744094	0.456068	0.123948	0.423348	0.553406	0.019417	0.010775	-0.745337
7,643	train	H1	H24	150	150	0	0	0	0.311481	-0.311481	0.191566	0.192134	2.058406	5.843619	1.021038	0.192134	0.311481	0.119471	0.036916	0.067243	0.096969	0.427562	0.349552	0.312002
7,643	train	H0	H24	200	200	0	0	0	-0.47399	0.47399	0.730133	0.727698	0.608373	0.591267	0.632168	-0.47399	0.730133	0.635084	0.529545	0.355943	0.224485	0.661374	0.645783	-0.474583
7,643	train	H1	H24	200	200	0	0	0	0.807859	-0.807859	-0.341452	-0.341323	1.499203	2.259876	1.194057	0.807859	0.807859	0.41859	0.116501	0.526501	0.652651	0.042406	0.050306	0.80887
7,643	train	H0	H24	300	300	0	0	0	-1.236407	1.236407	1.076919	1.075397	1.267914	3.014954	1.528799	-1.236407	1.236407	0.215924	1.156479	1.295774	1.528787	0.404658	0.365522	-1.237439
7,643	train	H1	H24	300	300	0	0	0	-0.571338	0.571338	0.73465	0.736434	1.014235	7.760374	0.563445	0.736434	0.73465	0.051233	0.542334	0.240652	0.326379	0.517003	0.450599	-0.571814
7,643	train	H0	H24	500	500	0	0	0	1.021759	-1.021759	-1.97835	-1.98658	5.874672	5.704333	6.029271	-1.98658	1.97835	0.049064	3.946498	2.059813	1.044167	5.906899	5.847965	1.02227
7,643	train	H1	H24	500	500	0	0	0	1.102562	-1.102562	-2.036933	-2.044213	4.753822	7.269122	6.03689	-2.044213	2.036933	0.048877	4.178808	2.84798	1.217412	6.11181	6.315711	1.103114
7,643	train	H0	H24	1,000	1,000	0	0	0	-0.552537	0.552537	1.323072	1.324547	3.411364	3.80794	3.205328	1.324547	1.323072	0.201359	1.754425	0.716867	0.305275	3.091803	3.027615	-0.552675
7,643	train	H1	H24	1,000	1,000	0	0	0	-1.236877	1.236877	2.128556	2.141677	8.348757	17.439042	6.25334	-1.236877	2.128556	0.000574	4.586781	2.029979	1.530235	6.232474	6.114524	-1.237186
7,643	train	H0	H24	20	20	10	5	0	-1.352568	1.352568	1.510998	1.526284	2.375973	4.113871	2.334273	-1.352568	1.510998	0.16804	2.329542	2.00041	1.830831	2.109531	1.994362	-1.37853
7,643	train	H1	H24	20	20	10	5	5	-1.596283	1.596704	1.40628	1.444781	2.383293	5.775345	2.574672	-1.596283	1.596704	0.109027	2.087393	2.324496	2.570901	0.873551	0.820158	-1.602583
7,643	train	H0	H24	30	30	10	3.333333	6.666667	-0.61753	0.637008	-0.070405	-0.070854	3.132953	5.670149	2.413425	-0.070854	0.637008	0.128809	0.00502	0.183203	0.40483	0.798176	0.600852	-0.638543
7,643	train	H1	H24	30	30	10	3.333333	10	0.162118	-0.159322	0.117091	0.11709	0.733576	4.227104	0.401292	0.162118	0.159322	0.237962	0.01371	0.016093	0.025246	0.228154	0.145311	0.162682
7,643	train	H0	H24	50	50	10	4	6	1.105108	-1.111706	-0.131769	-0.132075	4.812227	4.923616	4.563426	1.105108	1.111706	0.102109	0.017444	0.612798	1.236748	0.832274	0.71545	1.122348
7,643	train	H1	H24	50	50	10	10	6	2.380651	-2.423546	-1.287197	-1.308116	10.539998	11.56988	9.535785	2.380651	2.423546	0.008498	1.711166	4.556803	5.986774	0.006659	0.003184	2.44781
7,643	train	H0	H24	75	75	10	6.666667	10.666667	0.132887	-0.158987	0.310031	0.309344	0.899448	1.014369	0.877104	0.309344	0.310031	0.64497	0.095693	0.000061	0.025222	0.565601	0.537618	0.161531
7,643	train	H1	H24	75	75	10	9.333333	10.666667	3.313265	-3.30133	-2.955504	-3.079451	11.961307	13.836941	11.205818	-3.079451	3.30133	0.000954	9.483018	11.535997	11.094444	4.339174	4.921962	3.30384
7,643	train	H0	H24	100	100	10	11	10	-1.395305	1.415181	1.066788	1.062124	1.957101	1.844941	2.123124	-1.395305	1.415181	0.153494	1.128107	1.64238	2.005649	0.161394	0.201469	-1.427297
7,643	train	H1	H24	100	100	10	9	14	0.37037	-0.370062	-0.428459	-0.425981	0.182643	0.219622	0.182162	0.37037	0.428459	0.70699	0.181459	0.182274	0.13673	0.119549	0.120875	0.375902
7,643	train	H0	H24	150	150	10	10.666667	12.666667	-0.260933	0.239704	0.465977	0.46529	0.223311	3.980801	0.347728	0.46529	0.465977	0.263545	0.216494	0.184629	0.057405	0.367979	0.426914	-0.242126
7,643	train	H1	H24	150	150	10	12.666667	14	-0.895988	0.890988	0.997605	0.999195	0.998448	1.023238	0.999016	-0.895988	0.997605	0.370072	0.99839	0.915367	0.794069	0.800032	0.825529	-0.896338
7,643	train	H0	H24	200	200	10	9	8	-1.186939	1.183349	1.099322	1.097207	1.258355	3.793104	1.417259	-1.186939	1.183349	0.232416	1.203863	1.239066	1.400589	0.529829	0.461796	-1.194158
7,643	train	H1	H24	200	200	10	14.5	11	-0.111422	0.111651	0.159686	0.159434	0.083773	0.824364	0.030419	-0.111422	0.159686	0.843631	0.025419	0.003593	0.01247	0.033329	0.020541	-0.115376
7,643	train	H0	H24	300	300	10	10.333333	8.333333	-1.066475	1.065893	0.998833	0.997785	1.203775	1.26566	1.14793	-1.066475	1.065893	0.28322	0.995576	1.207989	1.13611	0.449558	0.443763	-1.073115
7,643	train	H1	H24	300	300	10	8.333333	8.666667	1.808053	-1.859024	-0.28708	-0.289665	15.027758	20.016534	12.040365	1.808053	1.859024	0.000168	0.083906	2.05224	3.461111	1.86779	1.751395	1.870461
7,643	train	H0	H24	500	500	10	11.4	10.2	0.078969	-0.058935	-0.430217	-0.429827	0.725937	0.906667	0.650558	-0.429827	0.430217	0.722326	0.184751	0.034255	0.003472	0.495142	0.454969	0.059526
7,643	train	H1	H24	500	500	10	13.4	9.6	-1.995184	1.952132	2.421476	2.430083	6.573271	10.306954	6.089372	2.430083	2.421476	0.016129	5.905305	4.163487	3.81479	5.262892	5.16089	-1.969505
7,643	train	H0	H24	1,000	1,000	10	9.5	10.7	-0.843972	0.882396	-0.059745	-0.059741	3.995787	3.843136	4.066565	-0.843972	0.882396	0.130905	0.003569	0.289803	0.778652	1.170373	1.136544	-0.886852
7,643	train	H1	H24	1,000	1,000	10	11.5	10.7	1.140204	-1.139128	-0.996286	-0.99799	2.653178	13.915522	1.303428	-0.99799	1.139128	0.003022	0.995984	1.912606	1.298665	0.384605	0.433502	1.147254
7,643	train	H0	H24	20	20	20	25	25	0.73633	-0.788068	-0.277758	-0.276171	1.760482	3.289283	1.996023	0.73633	0.788068	0.349137	0.07627	0.303337	0.61975	0.291688	0.321334	0.804977
7,643	train	H1	H24	20	20	20	20	35	-0.425402	0.467386	0.125953	0.125874	0.761337	3.493468	0.94282	0.125874	0.467386	0.32161	0.015844	0.079904	0.218368	0.099852	0.148945	-0.502007
7,643	train	H0	H24	30	30	20	36.666667	30	-0.823706	0.687444	1.24133	1.266417	3.626255	5.536709	3.415989	1.266417	1.24133	0.136459	1.603811	0.837577	0.483586	3.570639	3.374301	-0.753356
7,643	train	H1	H24	30	30	20	16.666667	20	-0.977255	1.02429	0.567678	0.562503	1.679216	1.923883	1.77094	-0.977255	1.02429	0.299311	0.316409	0.714055	1.049107	0.011459	0.008037	-1.037912
7,643	train	H0	H24	50	50	20	14	22	1.12641	-1.071567	-1.309617	-1.307348	1.729433	2.087168	1.74211	-1.307348	1.309617	0.272788	1.709158	1.444983	1.147963	1.33197	1.398112	1.096666
7,643	train	H1	H24	50	50	20	16	22	0.125099	0.011018	-0.956195	-0.956722	5.019284	5.503178	4.71315	-0.956722	0.956195	0.094744	0.915317	0.12563	0.000121	3.305546	3.023891	-0.005419
7,643	train	H0	H24	75	75	20	13.333333	26.666667	0.713064	-0.639568	-1.307911	-1.301238	3.14658	3.309563	3.309193	-1.301238	1.307911	0.191169	1.693219	0.886513	0.408435	2.927854	2.821511	0.652261
7,643	train	H1	H24	75	75	20	14.666667	26.666667	1.226525	-1.207582	-1.65362	-1.655095	3.182181	6.951747	3.473223	-1.655095	1.65362	0.073452	2.73934	2.229918	1.460741	3.312279	3.479095	1.21847
7,643	train	H0	H24	100	100	20	23	21	-1.095007	1.168555	0.507218	0.506444	2.496805	3.092912	2.795791	-1.095007	1.168555	0.232024	0.256486	0.81813	1.367594	0.170944	0.153975	-1.19516
7,643	train	H1	H24	100	100	20	16	20	-0.505508	0.663019	-0.570603	-0.573786	4.733347	16.589769	7.002373	-0.573786	0.663019	0.000858	0.32923	0.001312	0.441134	3.601847	3.993779	-0.672453
7,643	train	H0	H24	150	150	20	19.333333	22	-0.023435	0.028231	-0.165104	-0.164472	0.326098	1.530029	0.219168	-0.023435	0.165104	0.675357	0.027051	0.000015	0.000796	0.115423	0.065414	-0.027361
7,643	train	H1	H24	150	150	20	25.333333	21.333333	-0.607687	0.700366	0.347299	0.347843	0.227923	12.305743	0.662797	0.347843	0.700366	0.006406	0.120995	0.166321	0.49049	0.01146	0.036541	-0.718193
7,643	train	H0	H24	200	200	20	24	22.5	-1.371223	1.533473	0.440839	0.440605	5.526397	9.897655	6.662533	-1.371223	1.533473	0.019456	0.194133	1.133392	2.356273	1.068289	1.207479	-1.554094
7,643	train	H1	H24	200	200	20	19.5	24.5	0.998794	-0.882208	-1.586167	-1.592469	3.640243	6.323232	4.092402	-1.592469	1.586167	0.096901	2.535956	1.604932	0.778246	3.941189	4.012873	0.896965
7,643	train	H0	H24	300	300	20	19	19.333333	-0.874625	0.871222	0.728755	0.728762	0.664011	1.352444	0.796799	-0.874625	0.871222	0.376389	0.531093	0.590673	0.758888	0.127789	0.131774	-0.88457
7,643	train	H1	H24	300	300	20	21	18	-0.887485	0.9365	0.406343	0.405952	1.066804	5.573856	1.776656	0.405952	0.9365	0.134287	0.164797	0.38965	0.877507	0.096476	0.121368	-0.951527
7,643	train	H0	H24	500	500	20	19.8	20	1.513971	-1.563452	-1.014831	-1.014423	3.002966	3.057807	3.154261	1.513971	1.563452	0.111874	1.029055	1.868333	2.444854	0.014053	0.014941	1.589827
7,643	train	H1	H24	500	500	20	17.8	20.6	-0.039325	0.110258	-0.538024	-0.537645	1.328547	6.429337	2.020691	-0.039325	0.538024	0.092491	0.289062	0.066675	0.01216	1.288238	1.391437	-0.110962
7,643	train	H0	H24	1,000	1,000	20	21.2	22	0.736282	-0.739171	-0.624323	-0.623945	0.615159	0.815464	0.560036	-0.623945	0.739171	0.452021	0.389308	0.543192	0.546292	0.094622	0.095254	0.752049
7,643	train	H1	H24	1,000	1,000	20	22	18.6	-0.86181	0.818658	0.839759	0.841591	0.866873	8.46557	0.759892	0.841591	0.839759	0.037309	0.708276	0.316743	0.67092	0.280578	0.283461	-0.830401

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