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
7,648	train	H0	H22	20	20	50	60	70	0.970075	-0.742022	-1.062119	-1.052389	1.211539	2.916618	1.229212	-1.052389	1.062119	0.404661	1.107523	0.857428	0.473377	0.752366	0.877556	0.82168
7,648	train	H1	H22	20	20	50	40	55	0.351658	-0.344615	-0.336823	-0.338569	0.147359	7.673533	0.121736	0.351658	0.344615	0.053263	0.114629	0.162332	0.105167	0.009218	0.03115	0.383289
7,648	train	H0	H22	30	30	50	50	50	-0.352151	0.272266	0.012917	0.01263	1.337657	3.539843	1.074313	0.01263	0.272266	0.315631	0.00016	0.086581	0.093103	0.497957	0.252522	-0.340048
7,648	train	H1	H22	30	30	50	50	53.333333	-0.403266	0.421311	0.487358	0.485041	0.317376	2.013233	0.27198	0.485041	0.487358	0.569665	0.235265	0.177484	0.206638	0.420064	0.308545	-0.512982
7,648	train	H0	H22	50	50	50	44	54	0.796114	-0.810623	-0.687956	-0.690653	0.703406	1.487173	0.738129	-0.690653	0.810623	0.385299	0.477002	0.537898	0.632648	0.057302	0.044991	0.868174
7,648	train	H1	H22	50	50	50	60	62	-0.396059	0.428292	0.436073	0.434687	0.193128	0.191898	0.193897	-0.396059	0.436073	0.61419	0.188953	0.191378	0.188313	0.245451	0.251411	-0.504101
7,648	train	H0	H22	75	75	50	49.333333	57.333333	1.876252	-1.841289	-1.918	-1.940549	3.767939	3.783603	3.768635	-1.940549	1.918	0.046373	3.76573	3.613856	3.301869	2.232978	2.249423	1.991982
7,648	train	H1	H22	75	75	50	41.333333	52	0.948859	-0.799379	-1.033807	-1.034413	1.070015	4.324537	1.089466	0.948859	1.033807	0.228485	1.07001	1.070936	0.640476	0.805324	0.946213	0.871448
7,648	train	H0	H22	100	100	50	51	50	0.229865	-0.19133	-0.216031	-0.215232	0.086541	3.871778	0.052496	-0.215232	0.216031	0.275647	0.046325	0.074345	0.029291	0.006444	0.019341	0.193264
7,648	train	H1	H22	100	100	50	53	50	0.273504	-0.261573	0.071579	0.071729	1.428123	3.410203	1.141112	0.071729	0.261573	0.332597	0.005145	0.070472	0.068317	0.424988	0.351902	0.294183
7,648	train	H0	H22	150	150	50	45.333333	51.333333	0.73591	-0.581418	-1.006277	-1.001338	1.341297	1.935361	1.442391	-1.001338	1.006277	0.486171	1.002678	0.661146	0.326226	1.284735	1.335232	0.640817
7,648	train	H1	H22	150	150	50	46.666667	44	-1.264355	1.46701	0.952385	0.949466	2.035338	2.563636	2.202217	0.949466	1.46701	0.108191	0.901485	1.508653	2.16484	0.025951	0.048106	-1.606379
7,648	train	H0	H22	200	200	50	45.5	47	-0.841948	0.758915	0.946213	0.951941	0.957597	1.028352	0.942808	0.951941	0.946213	0.398441	0.906191	0.680724	0.589824	0.894056	0.90732	-0.844409
7,648	train	H1	H22	200	200	50	53.5	45	-0.411427	0.368909	0.535196	0.534514	0.434902	1.256483	0.382673	0.534514	0.535196	0.685554	0.285705	0.1582	0.138748	0.457821	0.432021	-0.404897
7,648	train	H0	H22	300	300	50	51.333333	55.666667	0.128177	-0.052389	-0.423528	-0.422617	1.222239	3.501226	0.988983	0.128177	0.423528	0.320603	0.178605	0.01658	0.001352	0.714895	0.613213	0.043772
7,648	train	H1	H22	300	300	50	48	48	-0.015777	0.001995	0.287952	0.287252	0.920026	1.992908	0.712599	-0.015777	0.287952	0.57388	0.082514	0.000222	0.000013	0.446929	0.394191	-0.00148
7,648	train	H0	H22	500	500	50	52	48.8	-1.587702	1.430543	1.854231	1.857624	3.92875	4.796217	3.828829	1.857624	1.854231	0.111579	3.450766	2.5185	2.069591	3.70223	3.673435	-1.591134
7,648	train	H1	H22	500	500	50	49.2	52.2	0.087764	0.210577	-0.289677	-0.289705	0.250117	2.552608	0.424135	-0.289705	0.289677	0.465859	0.083929	0.012519	0.04537	0.302132	0.311066	-0.235076
7,648	train	H0	H22	1,000	1,000	50	48.6	48.8	0.623607	-0.756253	-0.402539	-0.402249	0.604928	1.423135	0.735593	0.623607	0.756253	0.407103	0.161804	0.344289	0.564267	0.010581	0.011218	0.829003
7,648	train	H1	H22	1,000	1,000	50	50.2	49.5	-1.243437	1.628138	0.881374	0.880829	1.873752	6.432551	2.481745	-1.243437	1.628138	0.073508	0.775859	1.435329	2.654784	0.000145	0.000711	-1.789665
7,648	train	H0	H23	20	20	0	0	0	-0.351651	0.351651	0.793248	0.785497	1.053807	1.335603	1.191643	0.785497	0.793248	0.55111	0.617006	0.315696	0.122887	1.270358	1.33017	-0.356131
7,648	train	H1	H23	20	20	0	0	0	0.811503	-0.811503	-0.194649	-0.193321	2.464619	3.613087	2.044134	-0.193321	0.811503	0.306389	0.037373	0.378612	0.65538	0.271719	0.164552	0.821841
7,648	train	H0	H23	30	30	0	0	0	-0.325257	0.325257	-0.309332	-0.308549	1.767268	1.961382	1.771657	-0.325257	0.325257	0.412372	0.095202	0.007921	0.105315	0.859049	0.804301	-0.328002
7,648	train	H1	H23	30	30	0	0	0	-0.26612	0.26612	-0.900711	-0.941717	10.316057	16.636061	8.899663	-0.26612	0.900711	0.00084	0.886831	0.038512	0.070878	6.073449	5.658346	-0.268365
7,648	train	H0	H23	50	50	0	0	0	-0.337797	0.337797	-0.195681	-0.195685	1.871163	4.165596	1.223348	-0.337797	0.337797	0.244129	0.038293	0.046121	0.113752	0.512009	0.38806	-0.339499
7,648	train	H1	H23	50	50	0	0	0	2.012995	-2.012995	-2.442161	-2.544194	6.895273	6.979332	6.855002	-2.544194	2.442161	0.032468	6.472921	5.186498	4.08651	6.028159	5.987109	2.023137
7,648	train	H0	H23	75	75	0	0	0	1.779758	-1.779758	-1.006361	-1.001772	4.414639	4.190607	4.455447	1.779758	1.779758	0.0761	1.003548	2.341949	3.179655	0.000666	0.001693	1.773775
7,648	train	H1	H23	75	75	0	0	0	1.283606	-1.283606	-1.766541	-1.788586	3.641322	3.638857	3.599788	1.283606	1.766541	0.165316	3.199041	2.307867	1.651411	3.343963	3.298389	1.279291
7,648	train	H0	H23	100	100	0	0	0	0.02199	-0.02199	0.136977	0.1362	0.20463	1.212201	0.101269	0.02199	0.136977	0.750079	0.01855	0.000055	0.000483	0.083926	0.054634	0.022046
7,648	train	H1	H23	100	100	0	0	0	-0.527772	0.527772	-1.169419	-1.202566	15.438956	16.19278	14.36636	-0.527772	1.169419	0.000759	1.446164	0.018786	0.278899	8.711323	8.459348	-0.529096
7,648	train	H0	H23	150	150	0	0	0	0.811981	-0.811981	0.089818	0.090077	4.314494	5.729806	3.407409	0.811981	0.811981	0.125522	0.008114	0.303134	0.658994	0.979512	0.871282	0.813338
7,648	train	H1	H23	150	150	0	0	0	0.72679	-0.72679	-1.422691	-1.428848	3.105941	3.423912	3.215972	-1.428848	1.422691	0.200291	2.041605	1.0392	0.527922	3.09309	3.109032	0.728004
7,648	train	H0	H23	200	200	0	0	0	-1.825034	1.825034	1.793143	1.79418	3.507328	3.7073	3.510148	-1.825034	1.825034	0.067652	3.219082	3.54018	3.336843	1.612869	1.612301	-1.827319
7,648	train	H1	H23	200	200	0	0	0	1.346719	-1.346719	-2.338848	-2.388604	9.785468	15.53414	8.48078	-2.388604	2.338848	0.001413	5.705428	2.921867	1.814372	8.267002	8.069362	1.348406
7,648	train	H0	H23	300	300	0	0	0	0.648113	-0.648113	-0.013065	-0.013047	0.804378	5.041576	1.655852	0.648113	0.648113	0.168778	0.00017	0.10785	0.419956	0.402761	0.46929	0.648654
7,648	train	H1	H23	300	300	0	0	0	1.478978	-1.478978	-2.523466	-2.551921	8.053463	8.563743	8.926746	-2.551921	2.523466	0.011523	6.512302	4.070795	2.190438	9.061705	9.065737	1.480212
7,648	train	H0	H23	500	500	0	0	0	-1.523441	1.523441	1.541569	1.540979	2.611647	2.871963	2.515493	1.540979	1.541569	0.127458	2.374615	2.585172	2.321515	1.31574	1.390224	-1.524203
7,648	train	H1	H23	500	500	0	0	0	0.297374	-0.297374	-1.753821	-1.766827	10.088052	10.358577	9.70954	-1.766827	1.753821	0.007791	3.121676	0.696688	0.088416	7.935474	7.875315	0.297523
7,648	train	H0	H23	1,000	1,000	0	0	0	0.895984	-0.895984	-1.022897	-1.022403	1.050445	1.39451	1.045678	-1.022403	1.022897	0.370141	1.045308	0.916432	0.802758	0.756443	0.738915	0.896208
7,648	train	H1	H23	1,000	1,000	0	0	0	1.350791	-1.350791	-3.925389	-3.989284	36.02066	36.748947	36.201526	-3.989284	3.925389	0	15.914386	5.717883	1.825651	32.973874	32.881117	1.351129
7,648	train	H0	H23	20	20	10	15	15	-0.103308	0.013989	0.801039	0.803105	3.644262	3.525967	3.659671	0.803105	0.801039	0.16044	0.644977	0.114324	0.000195	2.683747	2.476228	-0.028764
7,648	train	H1	H23	20	20	10	5	10	0.089051	-0.08256	-0.186118	-0.18248	0.033543	1.962051	0.064032	-0.18248	0.186118	0.58032	0.033299	0.037168	0.006777	0.02458	0.073274	0.085687
7,648	train	H0	H23	30	30	10	16.666667	16.666667	-0.066337	-0.016276	0.662822	0.672964	2.581686	2.604793	2.53582	-0.066337	0.662822	0.281419	0.45288	0.072912	0.000066	1.921508	1.832982	0.015652
7,648	train	H1	H23	30	30	10	13.333333	10	-1.407541	1.47979	0.591823	0.588121	3.574901	6.622803	4.505267	-1.407541	1.47979	0.084943	0.345887	1.157107	2.218718	0.420785	0.485501	-1.504511
7,648	train	H0	H23	50	50	10	6	14	1.277161	-1.271053	-1.134498	-1.134048	1.708501	1.983817	1.633174	1.277161	1.271053	0.197554	1.286065	1.603715	1.607427	0.420001	0.486067	1.288551
7,648	train	H1	H23	50	50	10	6	12	0.414787	-0.375125	-0.872643	-0.867058	1.326293	1.325892	1.327362	-0.867058	0.872643	0.514952	0.751789	0.349673	0.140253	1.16337	1.086268	0.38891
7,648	train	H0	H23	75	75	10	8	4	1.257788	-1.238389	-1.344453	-1.353635	1.843296	1.842866	1.846447	1.257788	1.344453	0.213439	1.832329	1.72144	1.536005	1.12931	1.157906	1.244164
7,648	train	H1	H23	75	75	10	9.333333	9.333333	1.168413	-1.112699	-2.061007	-2.136079	9.278173	13.65139	8.31655	-2.136079	2.061007	0.00342	4.562835	2.253794	1.234137	7.769166	7.513588	1.130386
7,648	train	H0	H23	100	100	10	17	11	-1.768729	1.713725	2.531687	2.608709	9.224541	9.379049	9.039575	2.608709	2.531687	0.010891	6.805361	4.380708	2.9503	9.247889	9.147598	-1.76109
7,648	train	H1	H23	100	100	10	9	14	-0.158414	0.125186	0.070059	0.070449	0.329277	6.840429	0.050576	0.070449	0.125186	0.077162	0.004963	0.053266	0.015683	0.003038	0.001027	-0.127563
7,648	train	H0	H23	150	150	10	8	9.333333	-0.274478	0.292761	-0.11419	-0.114266	0.9216	3.245971	0.670995	-0.114266	0.292761	0.355234	0.013057	0.025894	0.086458	0.248572	0.186717	-0.297965
7,648	train	H1	H23	150	150	10	9.333333	8.666667	1.409025	-1.425148	-1.074771	-1.07348	1.915223	2.842883	2.125763	1.409025	1.425148	0.146836	1.15236	1.716074	2.031217	0.173696	0.161015	1.450799
7,648	train	H0	H23	200	200	10	7	9.5	-0.238994	0.246623	0.034081	0.033948	0.019503	2.18625	0.197582	0.033948	0.246623	0.534662	0.001152	0.007078	0.061016	0.03264	0.055008	-0.251555
7,648	train	H1	H23	200	200	10	10	9	0.178966	-0.140365	-0.51175	-0.513205	0.293716	8.301489	0.637226	-0.513205	0.51175	0.040175	0.26338	0.167379	0.019443	0.557324	0.657267	0.141357
7,648	train	H0	H23	300	300	10	10.333333	8.666667	0.006138	0.01382	-0.172133	-0.171792	0.06374	0.044136	0.12729	-0.171792	0.172133	0.938338	0.029513	0.012511	0.000212	0.082691	0.068835	-0.014363
7,648	train	H1	H23	300	300	10	10	14	1.092932	-0.999015	-2.253738	-2.268247	9.026093	9.589827	9.545295	-2.268247	2.253738	0.008458	5.144942	2.355729	0.996644	9.109377	9.075453	1.018421
7,648	train	H0	H23	500	500	10	8.4	9.4	-0.704377	0.728875	0.0494	0.049313	1.606415	1.557453	1.992637	-0.704377	0.728875	0.369236	0.002432	0.195229	0.532546	0.447127	0.436393	-0.740843
7,648	train	H1	H23	500	500	10	9.6	8.2	1.784793	-1.708941	-2.991611	-3.035249	13.836261	14.413542	13.394708	-3.035249	2.991611	0.001234	9.212734	5.079764	2.922553	13.207504	13.088779	1.72964
7,648	train	H0	H23	1,000	1,000	10	11.3	10.4	-1.19181	1.151941	1.628452	1.629407	2.84457	3.140672	2.945375	1.629407	1.628452	0.229308	2.654966	1.929413	1.327692	2.833606	2.851498	-1.174033
7,648	train	H1	H23	1,000	1,000	10	11	9.9	-0.505683	0.663851	-2.096819	-2.118819	29.676506	34.884515	32.461872	-0.505683	2.096819	0	4.489393	0.181388	0.441643	21.512697	21.644607	-0.678597
7,648	train	H0	H23	20	20	20	10	20	0.780074	-0.787113	-0.335252	-0.325412	1.3803	1.422132	1.291984	-0.325412	0.787113	0.42358	0.105893	0.409702	0.613766	0.111559	0.065585	0.800226
7,648	train	H1	H23	20	20	20	35	10	-0.595498	0.58653	0.572646	0.569645	0.342963	0.527024	0.352837	-0.595498	0.58653	0.525437	0.324495	0.347924	0.358343	0.282487	0.290162	-0.634987
7,648	train	H0	H23	30	30	20	13.333333	23.333333	-1.167497	1.12342	1.310644	1.347979	1.882083	2.411759	1.852449	-1.167497	1.310644	0.236749	1.817048	1.512849	1.268665	1.762393	1.718097	-1.183153
7,648	train	H1	H23	30	30	20	13.333333	23.333333	0.709194	-0.61497	-1.336728	-1.33861	3.109709	3.229876	3.349576	-1.33861	1.336728	0.187348	1.791877	0.933252	0.367289	2.97629	2.97257	0.65045
7,648	train	H0	H23	50	50	20	16	20	-0.90602	0.932137	0.678656	0.676216	0.690677	4.298101	0.963271	0.676216	0.932137	0.231022	0.457268	0.571975	0.876054	0.050623	0.018448	-0.964182
7,648	train	H1	H23	50	50	20	22	30	2.720385	-2.682445	-2.571206	-2.631502	7.601184	7.886731	7.649902	-2.631502	2.682445	0.004596	6.924802	7.590124	7.269105	3.309696	3.362941	2.83407
7,648	train	H0	H23	75	75	20	22.666667	21.333333	-0.213896	0.134797	0.411468	0.408198	0.196807	2.07887	0.298249	0.408198	0.411468	0.556199	0.166626	0.097081	0.018733	0.311294	0.436881	-0.138764
7,648	train	H1	H23	75	75	20	22.666667	17.333333	-0.224705	0.19953	0.063584	0.063197	0.436659	3.816536	0.164977	-0.224705	0.19953	0.281969	0.003994	0.063778	0.040538	0.018979	0.000335	-0.208958
7,648	train	H0	H23	100	100	20	18	20	-0.565302	0.596425	0.225103	0.224198	0.473735	3.188939	0.780897	-0.565302	0.596425	0.363402	0.050265	0.167857	0.360592	0.060599	0.100983	-0.618141
7,648	train	H1	H23	100	100	20	29	19	-1.297346	1.265605	1.387762	1.382083	1.913514	2.038322	1.917063	-1.297346	1.387762	0.186427	1.910153	1.818002	1.609055	1.343029	1.347569	-1.321223
7,648	train	H0	H23	150	150	20	22.666667	16	-0.388986	0.351554	0.644382	0.640805	0.58925	0.641077	0.615402	0.640805	0.644382	0.713742	0.410631	0.234248	0.124976	0.686878	0.693109	-0.366835
7,648	train	H1	H23	150	150	20	21.333333	16	-1.067872	1.069713	0.764785	0.761051	1.634584	2.134909	1.351509	0.761051	1.069713	0.270962	0.579199	1.09466	1.147679	0.034271	0.053875	-1.10085
7,648	train	H0	H23	200	200	20	19.5	23	1.815182	-1.867709	-1.516498	-1.513966	2.938834	6.083947	3.398083	1.815182	1.867709	0.052786	2.292092	2.909037	3.480488	0.562353	0.5002	1.936671
7,648	train	H1	H23	200	200	20	25	16.5	-2.780741	2.800229	2.200857	2.209049	9.10192	11.349161	8.273847	-2.780741	2.800229	0.003356	4.879897	7.474018	7.88733	0.645765	0.769488	-2.933079
7,648	train	H0	H23	300	300	20	17	21.666667	0.759686	-0.825984	-0.032742	-0.032855	3.182406	3.472084	2.99242	0.759686	0.825984	0.223977	0.001079	0.334958	0.680241	0.731805	0.736602	0.855949
7,648	train	H1	H23	300	300	20	18.666667	19.666667	1.031785	-0.943627	-1.840391	-1.849084	6.190186	7.33147	5.603659	-1.849084	1.840391	0.060699	3.419111	1.561604	0.886652	5.417506	5.230835	0.979295
7,648	train	H0	H23	500	500	20	21.6	20.4	0.127024	-0.067766	-0.506205	-0.505908	0.76343	1.289772	0.848654	-0.505908	0.506205	0.65421	0.255943	0.060543	0.004409	0.665598	0.69361	0.069505
7,648	train	H1	H23	500	500	20	21.6	21.4	0.380457	-0.245958	-1.408537	-1.419863	7.723999	10.394219	7.064188	-1.419863	1.408537	0.015496	2.01601	0.462241	0.05991	5.725884	5.594193	0.250501
7,648	train	H0	H23	1,000	1,000	20	22	19.8	-1.393579	1.415892	1.275104	1.274368	1.790534	1.738486	1.943706	-1.393579	1.415892	0.140055	1.624013	1.768441	2.007761	0.637197	0.67898	-1.475587
7,648	train	H1	H23	1,000	1,000	20	19.9	19.4	-1.402674	1.615092	-0.295027	-0.295406	13.818651	13.492994	15.333888	-1.402674	1.615092	0.000468	0.087265	0.767362	2.612103	5.49445	5.411782	-1.661736
7,648	train	H0	H23	20	20	30	30	45	-0.568722	0.680253	0.030317	0.029696	2.32528	2.300627	2.269968	0.029696	0.680253	0.321427	0.000882	0.228169	0.513479	0.555474	0.389368	-0.755108
7,648	train	H1	H23	20	20	30	15	20	-0.040794	0.107476	-0.606757	-0.603449	3.004271	3.65502	2.697478	-0.603449	0.606757	0.259567	0.364151	0.016836	0.014967	1.687417	1.44805	-0.12709
7,648	train	H0	H23	30	30	30	30	26.666667	-0.93447	0.888285	0.972999	0.966724	0.935362	2.077099	0.947188	-0.93447	0.972999	0.322527	0.934556	0.88477	0.838855	0.669866	0.590545	-0.989279
7,648	train	H1	H23	30	30	30	26.666667	36.666667	-1.466648	1.681935	0.410003	0.414549	9.983127	9.868407	10.028373	-1.466648	1.681935	0.006643	0.171851	1.516862	2.923184	2.787773	2.503112	-1.796467
7,648	train	H0	H23	50	50	30	26	30	-0.158538	0.062384	0.499826	0.503832	0.765838	2.680695	0.949672	0.503832	0.499826	0.443518	0.253846	0.091323	0.005585	0.914206	0.994339	-0.075904
7,648	train	H1	H23	50	50	30	46	34	0.123113	-0.132203	-0.251283	-0.253423	0.250723	0.602832	0.221016	-0.253423	0.251283	0.895379	0.064223	0.021694	0.009173	0.106694	0.100548	0.105344
7,648	train	H0	H23	75	75	30	25.333333	41.333333	-0.259518	0.379549	-0.23594	-0.235848	1.831795	2.079466	1.71285	-0.259518	0.379549	0.424678	0.055624	0.024581	0.147857	0.756284	0.660524	-0.408557
7,648	train	H1	H23	75	75	30	30.666667	29.333333	0.579225	-0.482457	-0.95238	-0.959257	1.823537	3.34794	1.576942	-0.959257	0.95238	0.341026	0.920175	0.380714	0.228154	1.442971	1.26423	0.496965
7,648	train	H0	H23	100	100	30	24	24	1.033892	-0.981463	-1.222864	-1.232434	1.560012	1.832519	1.588963	-1.232434	1.222864	0.311677	1.518893	1.261881	0.954901	1.303504	1.329818	1.011709
7,648	train	H1	H23	100	100	30	34	29	0.498902	-0.490159	-0.348476	-0.347713	0.457679	1.018838	0.330937	0.498902	0.490159	0.607295	0.120904	0.252095	0.234587	0.000143	0.007014	0.513938
7,648	train	H0	H23	150	150	30	36	26	-0.644905	0.572177	0.949667	0.954098	1.616826	5.638226	1.32542	0.954098	0.949667	0.130601	0.910304	0.429401	0.334443	1.375342	1.22336	-0.619907
7,648	train	H1	H23	150	150	30	34.666667	27.333333	-0.011346	0.139607	-0.297916	-0.300356	0.261326	7.461943	0.709022	-0.300356	0.297916	0.058544	0.090214	0.028031	0.021338	0.495703	0.691607	-0.168832
7,648	train	H0	H23	200	200	30	26.5	23.5	-0.3188	0.250722	0.4311	0.429276	0.18451	0.275217	0.21079	0.429276	0.4311	0.788888	0.184278	0.160942	0.064104	0.222912	0.222287	-0.267755
7,648	train	H1	H23	200	200	30	33	25	-1.121995	1.12995	0.999746	0.995392	1.105262	2.032584	1.26598	-1.121995	1.12995	0.230392	0.990806	1.06068	1.287151	0.343742	0.311264	-1.19935
7,648	train	H0	H23	300	300	30	26.333333	31.333333	0.763591	-0.601189	-1.586565	-1.589819	6.050223	6.613047	5.696386	-1.589819	1.586565	0.057949	2.527525	0.903908	0.358927	5.195208	4.968309	0.633092
7,648	train	H1	H23	300	300	30	29.666667	29	2.236632	-2.140178	-2.373242	-2.392065	5.750927	5.791921	5.73146	-2.392065	2.373242	0.024219	5.721975	5.448966	4.583097	3.898726	3.871417	2.253644
7,648	train	H0	H23	500	500	30	32.2	28.8	-1.66135	1.758747	0.87021	0.87069	5.982532	6.280714	5.493165	-1.66135	1.758747	0.062613	0.7581	2.368586	3.103202	0.233021	0.200227	-1.861931
7,648	train	H1	H23	500	500	30	34	31.4	-1.450272	1.56589	0.852966	0.852446	3.480003	3.585956	3.727114	-1.450272	1.56589	0.096002	0.726665	1.712535	2.461101	0.046478	0.041938	-1.664554
7,648	train	H0	H23	1,000	1,000	30	28.5	31.5	0.852699	-0.783969	-1.273329	-1.272428	2.49724	3.712572	2.204201	-1.272428	1.273329	0.294221	1.619073	0.854755	0.61135	2.16225	2.073984	0.829052
7,648	train	H1	H23	1,000	1,000	30	28.6	29.2	0.859873	-0.761307	-1.526919	-1.529415	4.768407	6.150985	4.139652	-1.529415	1.526919	0.104491	2.339111	0.934899	0.576297	4.020695	3.929167	0.802286

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