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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7,648	train	H1	H04	20	20	10	10	15	0.640332	-0.619503	-0.939125	-0.948806	1.36969	1.872491	1.300101	-0.948806	0.939125	0.522019	0.900232	0.581296	0.381212	1.027183	0.967435	0.598657
7,648	train	H0	H04	30	30	10	3.333333	10	-0.064328	0.059529	-0.140602	-0.138572	0.212276	0.230352	0.201744	-0.064328	0.140602	0.904049	0.019202	0.000491	0.003521	0.066631	0.055807	-0.055207
7,648	train	H1	H04	30	30	10	13.333333	6.666667	-2.179702	2.177491	1.823753	1.842987	5.266453	5.976574	4.950072	-2.179702	2.177491	0.028016	3.3966	4.618316	4.811694	0.57771	0.735159	-2.197066
7,648	train	H0	H04	50	50	10	18	8	-1.338668	1.305932	1.533636	1.533831	2.369902	3.946076	2.364098	-1.338668	1.533636	0.181834	2.352637	2.345992	1.712903	1.754254	1.986918	-1.335129
7,648	train	H1	H04	50	50	10	14	10	-0.515186	0.525955	0.182301	0.180069	0.82478	1.199255	0.682671	0.180069	0.525955	0.595656	0.032425	0.189731	0.275779	0.049507	0.017676	-0.530657
7,648	train	H0	H04	75	75	10	5.333333	5.333333	-0.529863	0.556561	-0.126567	-0.125798	1.89095	1.995725	1.911001	-0.529863	0.556561	0.38462	0.015825	0.102079	0.309302	0.645088	0.601023	-0.554891
7,648	train	H1	H04	75	75	10	16	12	-0.787625	0.810283	0.672613	0.673298	0.465137	7.615357	0.631823	-0.787625	0.810283	0.054667	0.45333	0.459775	0.656236	0.139183	0.082778	-0.818807
7,648	train	H0	H04	100	100	10	10	12	-0.442487	0.45934	0.250438	0.250004	0.108981	1.080139	0.30101	0.250004	0.45934	0.643064	0.062502	0.084292	0.210921	0.00028	0.002358	-0.463419
7,648	train	H1	H04	100	100	10	11	17	1.288298	-1.208708	-1.929403	-1.954914	5.292206	5.623854	5.316009	-1.954914	1.929403	0.070088	3.82169	2.34975	1.46223	5.180678	5.232887	1.228819
7,648	train	H0	H04	150	150	10	11.333333	10.666667	0.833694	-0.822608	-0.724549	-0.722184	0.798923	1.645136	0.697036	0.833694	0.822608	0.407054	0.52155	0.686739	0.67623	0.144072	0.199523	0.82909
7,648	train	H1	H04	150	150	10	12	7.333333	-0.506563	0.506833	0.490689	0.488473	0.245896	0.415825	0.263038	-0.506563	0.506833	0.608668	0.238606	0.248751	0.256597	0.132536	0.137568	-0.511975
7,648	train	H0	H04	200	200	10	6.5	13.5	1.904008	-1.856666	-1.921633	-1.926792	4.185131	7.188377	3.881751	-1.926792	1.921633	0.060493	3.712529	4.011034	3.447853	2.114626	2.355577	1.877185
7,648	train	H1	H04	200	200	10	10.5	6	-1.129016	1.096838	1.8701	1.878287	5.428061	5.90296	5.035082	1.878287	1.8701	0.080658	3.527962	1.896797	1.20282	5.173631	5.113674	-1.10824
7,648	train	H0	H04	300	300	10	14.333333	9.333333	-1.05461	1.015411	1.640083	1.639951	3.248281	3.517416	3.599021	1.639951	1.640083	0.16538	2.68944	1.851126	1.03141	3.618265	3.618685	-1.025559
7,648	train	H1	H04	300	300	10	13.333333	11	-3.191292	3.152591	3.411937	3.46304	11.992954	14.474627	12.021834	-3.191292	3.411937	0.001432	11.992645	11.104344	9.98259	8.183204	8.078215	-3.188102
7,648	train	H0	H04	500	500	10	12.4	11.8	0.33369	-0.30648	-0.638543	-0.638768	1.033675	3.168619	0.708661	-0.638768	0.638543	0.366351	0.408024	0.129934	0.093903	0.666157	0.617391	0.309528
7,648	train	H1	H04	500	500	10	9.6	9	-1.996924	1.960057	2.342303	2.353281	5.698169	5.962897	5.590715	-1.996924	2.342303	0.048351	5.537931	4.406574	3.84406	4.639171	4.631265	-1.974267
7,648	train	H0	H04	1,000	1,000	10	9.3	10.3	-0.573039	0.595961	0.2548	0.254578	0.34701	1.539785	0.641003	0.254578	0.595961	0.548257	0.06481	0.173335	0.355137	0.025653	0.02936	-0.600374
7,648	train	H1	H04	1,000	1,000	10	11.9	10.6	-2.091074	2.078216	2.132104	2.135522	4.588018	6.059483	4.723279	-2.091074	2.132104	0.036137	4.560455	4.326252	4.320605	2.661231	2.621755	-2.095385
7,648	train	H0	H04	20	20	20	15	20	-0.346426	0.295213	0.521952	0.525628	0.460874	0.669921	0.428349	-0.346426	0.521952	0.760087	0.276285	0.143849	0.08658	0.649873	0.590436	-0.305366
7,648	train	H1	H04	20	20	20	20	15	0.993102	-1.003412	-1.042776	-1.063047	1.130283	1.350864	1.130454	-1.063047	1.042776	0.311375	1.130069	1.130002	1.010429	0.631059	0.668029	1.012342
7,648	train	H0	H04	30	30	20	30	30	0.219881	-0.381319	0.145612	0.145418	1.060659	1.299497	1.125635	0.219881	0.381319	0.569602	0.021146	0.028256	0.144961	0.582655	0.570564	0.382999
7,648	train	H1	H04	30	30	20	26.666667	16.666667	-1.535268	1.417032	1.708344	1.736365	3.136144	3.486201	3.102815	1.736365	1.708344	0.149923	3.014965	2.42325	2.007252	2.989114	2.95812	-1.439805
7,648	train	H0	H04	50	50	20	20	24	-0.979457	1.063929	0.294989	0.292005	3.739905	4.221746	3.413856	-0.979457	1.063929	0.181422	0.085267	0.693901	1.134111	0.579038	0.39146	-1.08136
7,648	train	H1	H04	50	50	20	30	18	-1.291121	1.308642	1.185703	1.17926	1.701975	1.765368	1.672819	-1.291121	1.308642	0.183985	1.390654	1.681629	1.716077	0.617865	0.689466	-1.328583
7,648	train	H0	H04	75	75	20	22.666667	16	-1.034536	1.034185	0.959015	0.95452	1.045711	1.142579	1.069162	-1.034536	1.034185	0.297627	0.911109	1.025143	1.068398	0.433166	0.428302	-1.041537
7,648	train	H1	H04	75	75	20	22.666667	20	-0.429207	0.38606	0.45929	0.455754	0.20987	0.385849	0.20841	0.455754	0.45929	0.69772	0.207712	0.181772	0.148717	0.190447	0.246214	-0.388401
7,648	train	H0	H04	100	100	20	17	19	-0.115157	0.105504	0.347377	0.349608	0.731417	5.378535	0.384169	-0.115157	0.347377	0.146087	0.122226	0.010239	0.011116	0.356216	0.297242	-0.101419
7,648	train	H1	H04	100	100	20	20	16	0.005422	-0.067669	0.389874	0.38894	1.168514	1.873797	0.929048	0.005422	0.389874	0.599009	0.151274	0.003596	0.004574	0.668077	0.628102	0.063859
7,648	train	H0	H04	150	150	20	18	20	0.738533	-0.736442	-0.510489	-0.508657	0.511926	2.362153	0.730032	0.738533	0.736442	0.457581	0.258732	0.344668	0.542234	0.003708	0.000344	0.742836
7,648	train	H1	H04	150	150	20	21.333333	21.333333	-0.595415	0.60567	0.381137	0.380414	0.654669	1.896852	0.529809	0.380414	0.60567	0.537794	0.144715	0.316183	0.366543	0.000101	0.006314	-0.616152
7,648	train	H0	H04	200	200	20	24	24.5	-1.079803	1.161937	0.565444	0.566416	2.694543	2.871807	2.519127	-1.079803	1.161937	0.235946	0.320827	0.974728	1.349571	0.099318	0.089935	-1.185181
7,648	train	H1	H04	200	200	20	19.5	16	-2.152381	2.206823	1.446967	1.446039	6.292569	6.105496	6.328832	-2.152381	2.206823	0.025995	2.091029	3.858835	4.880438	0.011739	0.026893	-2.226291
7,648	train	H0	H04	300	300	20	21.666667	19	0.238973	-0.165862	-0.634375	-0.637384	1.337079	1.547462	1.194629	-0.637384	0.634375	0.550287	0.406258	0.100722	0.027504	0.980673	0.969617	0.164712
7,648	train	H1	H04	300	300	20	17	18.666667	-1.653379	1.659485	1.431071	1.434594	2.658086	3.089088	2.769144	-1.653379	1.659485	0.092554	2.058059	2.579435	2.756925	0.611789	0.601497	-1.682077
7,648	train	H0	H04	500	500	20	20.4	19.2	-0.252235	0.25387	0.271813	0.271329	0.077849	0.256485	0.073814	0.271329	0.271813	0.795753	0.073619	0.053815	0.064429	0.061223	0.05491	-0.258847
7,648	train	H1	H04	500	500	20	18	20	0.10821	-0.044146	-0.649336	-0.648889	1.873961	1.904038	1.804694	-0.648889	0.649336	0.405617	0.421057	0.075422	0.001948	1.316818	1.26137	0.044928
7,648	train	H0	H04	1,000	1,000	20	18.7	18.3	0.750403	-0.778016	-0.39074	-0.390434	1.036941	0.996728	1.061166	-0.390434	0.778016	0.430444	0.152438	0.399559	0.605278	0.029517	0.022485	0.788431
7,648	train	H1	H04	1,000	1,000	20	19.2	18.8	-0.068344	0.099107	-0.203608	-0.203492	0.249384	0.724055	0.421031	-0.068344	0.203608	0.810167	0.041409	0.006225	0.009822	0.231069	0.247345	-0.100313
7,648	train	H0	H04	20	20	30	30	35	1.198791	-1.146332	-1.548455	-1.575469	3.278078	3.570914	3.201826	-1.575469	1.548455	0.199651	2.482102	1.708853	1.328404	2.924033	2.801426	1.282546
7,648	train	H1	H04	20	20	30	25	35	-0.144509	0.014302	0.407026	0.421385	1.461261	6.770758	1.263326	-0.144509	0.407026	0.079575	0.177566	0.02188	0.000204	0.963661	0.831155	-0.026624
7,648	train	H0	H04	30	30	30	23.333333	36.666667	-0.076855	0.075507	-0.172138	-0.169618	0.492391	0.860227	0.409269	-0.076855	0.172138	0.814945	0.02877	0.000041	0.005694	0.150924	0.091958	-0.076765
7,648	train	H1	H04	30	30	30	23.333333	33.333333	2.02797	-1.95403	-2.078748	-2.176561	4.80471	9.460877	4.757871	-2.176561	2.078748	0.023751	4.737417	4.149348	3.851945	3.332777	3.182754	2.011809
7,648	train	H0	H04	50	50	30	24	32	0.295364	-0.238534	-0.544616	-0.539863	0.69118	0.958137	0.629502	0.295364	0.544616	0.729971	0.291452	0.114222	0.056701	0.444004	0.394758	0.250574
7,648	train	H1	H04	50	50	30	20	22	-1.079295	1.109632	0.80388	0.8036	1.317844	2.187218	1.451912	-1.079295	1.109632	0.262548	0.645772	0.956603	1.236241	0.071117	0.067589	-1.12039
7,648	train	H0	H04	75	75	30	33.333333	34.666667	-1.199142	1.248722	0.95786	0.96103	1.73354	1.723568	1.744287	-1.199142	1.248722	0.201182	0.923579	1.352659	1.563549	0.125359	0.152796	-1.278191
7,648	train	H1	H04	75	75	30	32	33.333333	-0.137942	0.1374	0.148257	0.147931	0.035016	3.279727	0.022111	-0.137942	0.148257	0.350474	0.021884	0.05113	0.018859	0.028928	0.085259	-0.138566
7,648	train	H0	H04	100	100	30	27	33	0.531073	-0.546047	-0.355356	-0.356197	0.549814	1.275286	0.463638	-0.356197	0.546047	0.573226	0.126876	0.261669	0.297643	0.001955	0.000747	0.563307
7,648	train	H1	H04	100	100	30	24	31	0.442539	-0.543393	-0.045213	-0.045076	1.118386	1.283888	1.157154	-0.045076	0.543393	0.560696	0.002032	0.133376	0.294778	0.323459	0.324654	0.557878
7,648	train	H0	H04	150	150	30	35.333333	30.666667	-1.955984	1.961825	1.817588	1.823009	3.771041	4.065608	3.837258	-1.955984	1.961825	0.043548	3.323363	3.737984	3.854324	1.349887	1.357606	-2.018414
7,648	train	H1	H04	150	150	30	32	26	-3.099524	3.221911	2.407883	2.424486	11.177927	13.303938	11.727648	-3.099524	3.221911	0.001019	5.878133	8.603319	10.490399	0.347228	0.344702	-3.285146
7,648	train	H0	H04	200	200	30	27.5	29	0.810737	-0.882937	-0.530053	-0.529016	0.876091	1.730406	1.034462	0.810737	0.882937	0.36845	0.279858	0.530393	0.779112	0.001646	0.005163	0.89938
7,648	train	H1	H04	200	200	30	32	31	-1.182109	1.210796	0.915336	0.914903	1.700085	1.635873	1.714108	-1.182109	1.210796	0.215642	0.837048	1.255509	1.465922	0.082474	0.099584	-1.238199
7,648	train	H0	H04	300	300	30	27.666667	30.333333	-0.776346	0.829821	0.465878	0.465604	1.410379	2.57861	1.107211	-0.776346	0.829821	0.395916	0.216787	0.623106	0.689019	0.010781	0.005548	-0.848937
7,648	train	H1	H04	300	300	30	27.333333	32	-0.794621	0.849585	0.419132	0.419698	1.911788	4.983547	1.45634	-0.794621	0.849585	0.173006	0.176146	0.616916	0.722504	0.063674	0.027389	-0.870016
7,648	train	H0	H04	500	500	30	28.2	30	-0.088433	0.159909	-0.236587	-0.236244	0.859915	0.987503	0.756914	-0.088433	0.236587	0.684918	0.055811	0.003527	0.025565	0.401008	0.429268	-0.162803
7,648	train	H1	H04	500	500	30	30.4	30.2	-0.783788	0.792216	0.634777	0.634179	0.605109	0.911962	0.692274	-0.783788	0.792216	0.418351	0.402183	0.491213	0.627539	0.075543	0.084217	-0.809286
7,648	train	H0	H04	1,000	1,000	30	31.8	29.7	0.075635	-0.165037	0.156989	0.156882	0.384695	0.386586	0.394133	0.075635	0.165037	0.821136	0.024612	0.00214	0.027235	0.226933	0.208365	0.168987
7,648	train	H1	H04	1,000	1,000	30	29.4	32.8	-1.636605	1.792794	0.885284	0.886569	6.205196	6.218392	6.097177	-1.636605	1.792794	0.047426	0.786004	2.269914	3.21628	0.260089	0.256069	-1.836104
7,648	train	H0	H04	20	20	40	50	35	0.21171	-0.446147	0.41403	0.406373	5.127168	6.022039	5.374377	0.406373	0.446147	0.068072	0.165139	0.00807	0.199242	2.329728	2.127086	0.419914
7,648	train	H1	H04	20	20	40	55	30	-0.748281	0.56641	1.196584	1.198442	4.299378	4.47559	4.344743	1.198442	1.196584	0.113907	1.436263	0.740191	0.319487	4.019109	3.993998	-0.569353
7,648	train	H0	H04	30	30	40	50	33.333333	-0.379827	0.321529	0.439395	0.438115	0.233839	0.711005	0.224054	0.438115	0.439395	0.736558	0.191944	0.12711	0.102922	0.354656	0.334923	-0.336414
7,648	train	H1	H04	30	30	40	33.333333	30	-0.23489	0.155847	0.488995	0.483521	0.710188	0.714609	0.707073	-0.23489	0.488995	0.7022	0.233793	0.083727	0.024154	0.827836	0.786331	-0.169475
7,648	train	H0	H04	50	50	40	36	44	0.287982	-0.082168	-0.820507	-0.81275	3.508423	7.205993	2.993759	-0.81275	0.820507	0.065614	0.660562	0.065519	0.006744	2.431593	1.991214	0.100485
7,648	train	H1	H04	50	50	40	46	46	-0.241047	0.307331	0.16712	0.165147	0.08841	1.126688	0.11971	0.165147	0.307331	0.751194	0.027274	0.0443	0.094225	0.006215	0.001301	-0.317065
7,648	train	H0	H04	75	75	40	34.666667	32	-0.353361	0.458418	0.036739	0.036837	0.841669	2.369075	0.989616	0.036837	0.458418	0.499417	0.001357	0.067343	0.2097	0.2079	0.229796	-0.476459
7,648	train	H1	H04	75	75	40	46.666667	40	-1.535022	1.775237	1.001258	1.004169	5.221146	5.186655	5.225149	1.004169	1.775237	0.070236	1.008355	2.339878	3.173475	0.141079	0.089748	-1.810388
7,648	train	H0	H04	100	100	40	47	39	0.680469	-0.837469	-0.422666	-0.424844	0.816541	6.350061	1.105734	-0.424844	0.837469	0.095767	0.180492	0.367192	0.703407	0.023897	0.050083	0.873203
7,648	train	H1	H04	100	100	40	43	44	-0.105072	0.301253	-0.201595	-0.201077	1.002501	1.395078	1.078162	-0.201077	0.301253	0.583284	0.040432	0.006309	0.090654	0.447035	0.456336	-0.312049
7,648	train	H0	H04	150	150	40	41.333333	38.666667	-0.682078	0.738804	0.532367	0.531348	0.591963	0.759118	0.614724	-0.682078	0.738804	0.443381	0.282331	0.430016	0.545524	0.028044	0.028154	-0.766497
7,648	train	H1	H04	150	150	40	44.666667	43.333333	-1.393711	1.56424	1.009166	1.014795	2.929303	14.593536	3.445655	1.014795	1.56424	0.002199	1.029809	1.562126	2.450413	0.000074	0.001013	-1.620997
7,648	train	H0	H04	200	200	40	38	41	0.613872	-0.654257	-0.624745	-0.623832	0.406378	6.505639	0.394143	0.613872	0.654257	0.08944	0.389166	0.303378	0.427755	0.210886	0.168884	0.672901
7,648	train	H1	H04	200	200	40	43.5	42.5	-1.244888	1.338616	1.007375	1.008007	1.883319	2.410185	1.962931	-1.244888	1.338616	0.167731	1.016077	1.500691	1.793369	0.110148	0.094428	-1.379532
7,648	train	H0	H04	300	300	40	36.333333	35.666667	0.435925	-0.470186	-0.334562	-0.334227	0.153903	1.583817	0.241729	-0.334227	0.470186	0.62827	0.111708	0.113041	0.221036	0.002386	0.001547	0.484163
7,648	train	H1	H04	300	300	40	39.333333	42.666667	-0.217439	0.264357	0.083843	0.083813	0.205341	0.666159	0.241128	-0.217439	0.264357	0.785804	0.007025	0.030043	0.06988	0.019972	0.02036	-0.271763
7,648	train	H0	H04	500	500	40	44.8	41.4	-1.407699	1.352363	1.452011	1.452217	2.117896	2.323773	2.111931	-1.407699	1.452011	0.163751	2.108934	2.10317	1.829095	1.477166	1.484664	-1.392567
7,648	train	H1	H04	500	500	40	37.4	40.6	-1.310507	1.565888	0.616066	0.616429	5.501275	6.992919	6.011846	-1.310507	1.565888	0.049493	0.379985	1.385355	2.453956	0.634032	0.636117	-1.606086
7,648	train	H0	H04	1,000	1,000	40	37.6	38.3	0.321793	-0.441659	0.035876	0.035876	1.425709	2.692922	1.184278	0.321793	0.441659	0.441431	0.001287	0.109885	0.195044	0.398462	0.383286	0.456427
7,648	train	H1	H04	1,000	1,000	40	40.4	37.9	-2.44834	2.46715	2.250818	2.253814	6.035378	6.060676	6.056832	-2.44834	2.46715	0.011229	5.079676	5.940334	6.090115	1.818964	1.843079	-2.535485
7,648	train	H0	H04	20	20	50	50	65	1.331027	-1.228297	-1.388839	-1.397722	1.986831	2.320864	1.992889	-1.397722	1.388839	0.174752	1.953628	1.756701	1.511448	1.070432	1.17754	1.357093
7,648	train	H1	H04	20	20	50	30	45	0.939014	-1.026425	-0.836381	-0.825294	0.912473	1.080846	0.930991	0.939014	1.026425	0.278137	0.68111	0.936499	1.051518	0.080412	0.090628	1.084515
7,648	train	H0	H04	30	30	50	53.333333	46.666667	-1.855601	1.806253	1.839645	1.920571	3.688854	4.532083	3.690104	1.920571	1.839645	0.053605	3.688592	3.488421	3.315071	3.025842	3.015693	-1.930017
7,648	train	H1	H04	30	30	50	70	50	-1.530705	1.47202	1.624742	1.622531	2.826601	2.827432	2.827147	-1.530705	1.624742	0.123104	2.632608	2.434223	2.166138	3.40975	3.452711	-1.541876
7,648	train	H0	H04	50	50	50	52	46	-0.501339	0.225089	0.905673	0.902563	3.239384	6.5309	2.980559	0.902563	0.905673	0.088452	0.814621	0.181441	0.050575	2.485497	2.227819	-0.260239
7,648	train	H1	H04	50	50	50	48	44	-0.541327	0.563692	0.453257	0.451862	0.330725	1.308791	0.365703	-0.541327	0.563692	0.559307	0.204179	0.246031	0.317124	0.068202	0.070792	-0.583871
7,648	train	H0	H04	75	75	50	54.666667	50.666667	-0.672011	0.581648	0.760161	0.758073	0.685905	2.098692	0.659264	0.758073	0.760161	0.538105	0.574675	0.379275	0.338176	0.782283	0.719798	-0.615682
7,648	train	H1	H04	75	75	50	58.666667	49.333333	-2.09147	1.995054	2.107191	2.150309	4.623861	4.624458	4.623874	-2.09147	2.107191	0.038998	4.623828	4.441854	3.998698	3.528396	3.666721	-2.064204
7,648	train	H0	H04	100	100	50	52	53	0.210219	-0.212661	-0.229529	-0.228836	0.052569	0.833299	0.055302	-0.228836	0.229529	0.826392	0.052366	0.067502	0.045168	0.015266	0.022776	0.219331
7,648	train	H1	H04	100	100	50	47	53	0.342142	-0.141209	-0.663761	-0.661343	1.675994	1.706779	1.641641	-0.661343	0.663761	0.44007	0.437375	0.100761	0.019917	1.173477	1.115336	0.153784
7,648	train	H0	H04	150	150	50	57.333333	50	-0.862009	0.921108	0.759046	0.755974	0.837778	0.810296	0.844335	-0.862009	0.921108	0.337014	0.571496	0.719359	0.847953	0.145642	0.21283	-0.960082
7,648	train	H1	H04	150	150	50	52	55.333333	-0.589289	0.698496	0.35967	0.359639	1.017866	2.083802	1.120043	0.359639	0.698496	0.4697	0.12934	0.294956	0.488463	0.044659	0.043242	-0.722967
7,648	train	H0	H04	200	200	50	49	48	-1.780219	1.931961	1.353688	1.357443	5.34232	7.530799	4.935347	-1.780219	1.931961	0.043493	1.84265	3.40566	3.740575	0.003104	0.017594	-2.018944
7,648	train	H1	H04	200	200	50	48.5	50	-0.624713	0.814273	0.320595	0.320173	1.325101	1.686881	1.409276	0.320173	0.814273	0.392162	0.102511	0.390267	0.663458	0.114742	0.112471	-0.855703
7,648	train	H0	H04	300	300	50	46.666667	48.666667	0.151251	-0.133147	-0.208633	-0.208229	0.070634	0.060459	0.073011	-0.208229	0.208633	0.889486	0.043359	0.032686	0.01772	0.047906	0.04095	0.138955
7,648	train	H1	H04	300	300	50	51	46	-1.940694	1.850655	1.997836	2.003459	4.018454	7.465081	4.014908	2.003459	1.997836	0.053053	4.013847	3.497422	3.43093	2.862334	2.803137	-1.934488
7,648	train	H0	H04	500	500	50	50	48.6	-0.536269	0.712418	0.320702	0.320508	0.622591	4.532938	0.840959	-0.536269	0.712418	0.209371	0.102725	0.228539	0.507403	0.037166	0.041334	-0.740125
7,648	train	H1	H04	500	500	50	51.2	49	-3.560405	3.729751	3.092253	3.132663	14.469775	14.615683	14.589852	-3.560405	3.729751	0.000107	9.813578	12.677854	13.971226	1.621115	1.658177	-3.874684
7,648	train	H0	H04	1,000	1,000	50	45.9	51.7	2.208767	-2.00679	-2.459146	-2.458064	6.453869	6.730939	6.403636	-2.458064	2.459146	0.037326	6.042077	4.765111	4.027576	5.577288	5.49104	2.082185
7,648	train	H1	H04	1,000	1,000	50	50.7	52.1	-2.696017	2.867758	2.306163	2.3253	8.444563	10.621695	8.731281	-2.696017	2.867758	0.002769	5.407021	7.037778	8.241995	0.790445	0.793342	-2.992275

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