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
7,647	train	H0	H04	20	20	30	40	20	-0.033328	-0.0456	0.30046	0.297218	0.689949	0.790876	0.659365	0.297218	0.30046	0.719152	0.088339	0.008004	0.002063	0.620569	0.587021	0.049641
7,647	train	H1	H04	20	20	30	35	20	-1.146839	1.202208	0.990875	0.987146	1.399114	1.515562	1.373658	-1.146839	1.202208	0.216319	0.974458	1.291852	1.43952	0.34485	0.396006	-1.236374
7,647	train	H0	H04	30	30	30	33.333333	53.333333	0.007328	0.151718	-0.379022	-0.378919	1.635539	2.750952	1.450862	-0.378919	0.379022	0.431638	0.14358	0.000124	0.02303	0.858206	0.699645	-0.140297
7,647	train	H1	H04	30	30	30	23.333333	23.333333	0.105447	-0.054828	-0.465077	-0.464466	0.992074	0.98348	1.036113	-0.464466	0.465077	0.595677	0.215728	0.058094	0.002991	0.594339	0.583382	0.062212
7,647	train	H0	H04	50	50	30	30	30	-0.863512	0.843304	0.96619	0.96949	0.952306	0.96235	0.959998	-0.863512	0.96619	0.385893	0.939911	0.884131	0.712286	0.864936	0.916651	-0.867089
7,647	train	H1	H04	50	50	30	28	22	-1.420996	1.542304	0.706778	0.709237	5.294603	5.592976	5.027548	-1.420996	1.542304	0.080962	0.503017	1.617846	2.384976	0.372532	0.286489	-1.564272
7,647	train	H0	H04	75	75	30	32	30.666667	-1.054175	1.14247	0.665576	0.663271	2.150916	2.376968	2.028695	-1.054175	1.14247	0.241981	0.439928	1.013471	1.304269	0.01168	0.001678	-1.17005
7,647	train	H1	H04	75	75	30	32	26.666667	-1.315349	1.316676	1.201799	1.20153	1.696449	1.953215	1.744071	-1.315349	1.316676	0.180904	1.443674	1.642376	1.737457	0.603283	0.609915	-1.337977
7,647	train	H0	H04	100	100	30	27	27	-0.251262	0.298074	0.050842	0.050615	0.131983	3.731037	0.327573	0.050615	0.298074	0.29201	0.002562	0.012244	0.088729	0.049795	0.077821	-0.303672
7,647	train	H1	H04	100	100	30	35	30	-0.623201	0.535987	0.842136	0.843841	1.038352	1.236947	0.986968	0.843841	0.842136	0.581435	0.712068	0.410411	0.286835	1.128232	1.128536	-0.55129
7,647	train	H0	H04	150	150	30	27.333333	34.666667	-0.028486	0.0623	-0.108101	-0.108201	0.349806	4.559408	0.156909	-0.028486	0.108101	0.207052	0.011708	0.010864	0.003881	0.075351	0.044274	-0.061698
7,647	train	H1	H04	150	150	30	26	28	-1.102011	1.134329	0.790083	0.793291	2.137949	7.019144	1.628899	-1.102011	1.134329	0.07129	0.629311	1.27938	1.28834	0.012485	0.032749	-1.14626
7,647	train	H0	H04	200	200	30	37	28.5	-1.136283	1.046243	1.357537	1.35581	2.013877	2.067134	2.023614	1.35581	1.357537	0.282685	1.83822	1.453353	1.093654	2.048371	2.145522	-1.074308
7,647	train	H1	H04	200	200	30	26	27	-1.286152	1.239562	1.327348	1.332699	1.868315	3.334512	1.793717	-1.286152	1.327348	0.205726	1.776086	1.937369	1.538292	1.143744	1.215563	-1.265406
7,647	train	H0	H04	300	300	30	29.666667	28.666667	0.260842	-0.182897	-0.575103	-0.575071	1.02257	1.238207	0.908394	-0.575071	0.575103	0.634958	0.330707	0.090861	0.033441	0.732764	0.691046	0.187643
7,647	train	H1	H04	300	300	30	27.333333	32.333333	-0.190466	0.129357	0.317585	0.318999	0.172328	0.152413	0.18747	0.318999	0.317585	0.894723	0.10176	0.055048	0.016737	0.192619	0.192007	-0.13233
7,647	train	H0	H04	500	500	30	32	31.4	-0.068397	-0.036796	0.379488	0.379313	0.746685	1.695219	0.859209	0.379313	0.379488	0.637997	0.143878	0.02506	0.001354	0.623029	0.64817	0.036447
7,647	train	H1	H04	500	500	30	31.4	32.6	-2.149325	2.236605	1.774108	1.783545	5.058363	5.499776	5.123015	-2.149325	2.236605	0.022087	3.181034	4.46409	5.011027	0.528915	0.527858	-2.288872
7,647	train	H0	H04	1,000	1,000	30	30.3	29	-0.167281	0.161205	0.381825	0.381669	0.484613	0.730537	0.419494	-0.167281	0.381825	0.810789	0.145671	0.053436	0.025985	0.381217	0.376923	-0.164416
7,647	train	H1	H04	1,000	1,000	30	31.3	31.1	-3.035936	3.187279	2.110075	2.112716	13.404006	12.69446	13.732494	-3.035936	3.187279	0.001042	4.463568	7.909286	10.172171	0.00893	0.020068	-3.258764
7,647	train	H0	H04	20	20	40	55	35	0.060662	-0.335714	0.217684	0.215211	0.53123	4.914654	0.764774	0.060662	0.335714	0.178154	0.046316	0.002835	0.114241	0.423427	0.663162	0.302562
7,647	train	H1	H04	20	20	40	35	35	-1.672327	1.594978	1.567391	1.603481	2.812424	3.988062	2.900589	-1.672327	1.594978	0.087115	2.571152	2.657455	2.609569	1.075887	1.012781	-1.710819
7,647	train	H0	H04	30	30	40	23.333333	40	1.25912	-1.23361	-1.317259	-1.312149	1.722082	1.832704	1.723057	-1.312149	1.317259	0.201569	1.721735	1.673125	1.519477	1.006292	1.044099	1.277094
7,647	train	H1	H04	30	30	40	33.333333	50	0.066812	-0.043042	-0.108459	-0.110928	0.053417	0.956945	0.036757	-0.110928	0.108459	0.811668	0.012305	0.002081	0.001853	0.002502	0.000247	0.043061
7,647	train	H0	H04	50	50	40	38	32	-1.558336	1.411496	1.780478	1.816507	3.773789	4.347013	3.722151	-1.558336	1.780478	0.14726	3.299699	2.497732	2.000191	3.969821	3.897779	-1.449278
7,647	train	H1	H04	50	50	40	34	40	-1.121791	1.164827	0.812188	0.818132	1.959662	3.003159	1.758178	-1.121791	1.164827	0.224357	0.669339	1.247404	1.364759	0.012042	0.036334	-1.215025
7,647	train	H0	H04	75	75	40	37.333333	48	2.004896	-1.996293	-1.972274	-1.992885	4.074997	4.174468	4.089898	-1.992885	1.996293	0.03966	3.971592	4.097089	3.995758	2.062409	2.114636	2.057276
7,647	train	H1	H04	75	75	40	45.333333	41.333333	-1.678893	1.645127	1.734877	1.772664	3.143766	5.731124	3.157502	-1.678893	1.734877	0.094288	3.142336	3.166806	2.722631	2.610592	2.81394	-1.673201
7,647	train	H0	H04	100	100	40	36	48	1.47817	-1.448679	-1.449108	-1.443485	2.179217	2.179625	2.188118	-1.443485	1.449108	0.133614	2.083649	2.143978	2.095553	0.981875	1.071925	1.500002
7,647	train	H1	H04	100	100	40	42	42	-1.497175	1.968174	0.437321	0.435813	12.075114	12.119468	12.303202	0.435813	1.968174	0.00213	0.189933	2.047276	3.887369	3.163546	2.851909	-2.02924
7,647	train	H0	H04	150	150	40	30.666667	39.333333	0.676241	-0.577707	-0.859691	-0.859069	0.843641	2.418293	0.910288	-0.859069	0.859691	0.490239	0.738	0.551893	0.33347	0.794377	0.93344	0.597914
7,647	train	H1	H04	150	150	40	39.333333	39.333333	-0.881658	0.878597	0.852301	0.854942	0.805623	1.330546	0.779141	-0.881658	0.878597	0.365263	0.730927	0.856775	0.771888	0.429655	0.46027	-0.905382
7,647	train	H0	H04	200	200	40	42	45.5	0.62189	-0.609437	-0.602238	-0.600879	0.391177	0.425407	0.386722	-0.600879	0.609437	0.526848	0.361055	0.390719	0.371158	0.135949	0.148573	0.632824
7,647	train	H1	H04	200	200	40	43.5	42	-1.169213	1.145267	1.160195	1.160376	1.37318	1.803589	1.39084	-1.169213	1.160195	0.237017	1.346472	1.337678	1.313851	0.815823	0.777976	-1.182476
7,647	train	H0	H04	300	300	40	37.333333	41	-0.118619	0.347501	-0.481783	-0.481055	3.861894	4.494489	3.50134	-0.481055	0.481783	0.173658	0.231414	0.013053	0.120727	1.945135	1.839981	-0.357604
7,647	train	H1	H04	300	300	40	36	36.666667	-2.345662	2.424045	1.943524	1.96027	6.332811	6.440383	6.224012	-2.345662	2.424045	0.012497	3.842657	5.383206	5.892194	0.589636	0.630586	-2.497792
7,647	train	H0	H04	500	500	40	41.4	32.8	-2.396765	2.260333	2.730566	2.732375	7.84428	8.780215	7.776173	-2.396765	2.730566	0.020016	7.465874	6.207076	5.111306	6.828838	6.630081	-2.326056
7,647	train	H1	H04	500	500	40	37.8	41	-1.580351	1.646471	1.29105	1.300558	2.813513	4.394211	3.049551	-1.580351	1.646471	0.090946	1.69145	2.198626	2.714919	0.231509	0.223579	-1.690427
7,647	train	H0	H04	1,000	1,000	40	42.3	38.4	-1.647206	1.412712	2.149931	2.152577	6.543307	8.606186	6.146963	2.152577	2.149931	0.035012	4.633587	2.684344	1.995724	6.217137	6.133943	-1.461852
7,647	train	H1	H04	1,000	1,000	40	42.4	38.7	-3.85064	3.775555	3.702094	3.718615	15.025776	15.322759	14.897259	-3.85064	3.775555	0.000101	13.828098	14.991368	14.27831	6.236611	6.391764	-3.889261
7,647	train	H0	H04	20	20	50	45	35	-0.437581	0.471322	0.473293	0.465152	0.217832	0.410133	0.216477	0.465152	0.473293	0.617305	0.216366	0.183346	0.221157	0.304011	0.231963	-0.499674
7,647	train	H1	H04	20	20	50	60	55	-0.093579	-0.032204	0.192405	0.191453	0.383725	0.688019	0.370163	0.191453	0.192405	0.831037	0.036654	0.002156	0.001033	0.378706	0.349468	0.019285
7,647	train	H0	H04	30	30	50	50	40	-1.13921	1.091227	1.237886	1.239193	1.604355	1.849438	1.594269	1.239193	1.237886	0.252444	1.535599	1.366192	1.190295	1.805319	1.810351	-1.144433
7,647	train	H1	H04	30	30	50	50	56.666667	0.570538	0	-1.22285	-1.251854	10.39489	11.127912	10.203104	-1.251854	1.22285	0.006087	1.567139	0.242479	0.000101	7.675285	7.296669	0.056752
7,647	train	H0	H04	50	50	50	52	60	-0.332002	0.441921	0.234113	0.236888	0.29599	0.442338	0.285157	0.236888	0.441921	0.643254	0.056116	0.140111	0.195806	0.001464	0.002344	-0.463154
7,647	train	H1	H04	50	50	50	46	50	-0.778124	1.082116	0.244386	0.244097	4.396612	4.450886	4.453667	0.244097	1.082116	0.107869	0.059583	0.559189	1.173381	0.920429	0.871575	-1.122433
7,647	train	H0	H04	75	75	50	52	56	0.084362	-0.289757	0.01945	0.019413	0.096114	3.762338	0.16716	0.019413	0.289757	0.288297	0.000377	0.007399	0.083794	0.110483	0.147042	0.306364
7,647	train	H1	H04	75	75	50	54.666667	48	-0.446912	0.136118	0.759841	0.761786	2.315096	2.879542	2.228387	-0.446912	0.759841	0.32818	0.580319	0.121238	0.018502	1.806286	1.782161	-0.146605
7,647	train	H0	H04	100	100	50	50	44	-0.737292	0.694226	0.714746	0.711937	0.545212	0.587048	0.541407	0.711937	0.714746	0.473182	0.506854	0.520837	0.481402	0.343504	0.378464	-0.717312
7,647	train	H1	H04	100	100	50	48	47	-0.750144	0.886648	0.524775	0.523495	1.154439	1.328609	1.106537	-0.750144	0.886648	0.356802	0.274047	0.618088	0.785946	0.001322	0.002325	-0.921476
7,647	train	H0	H04	150	150	50	52.666667	50.666667	-0.335393	0.087123	0.674416	0.673728	2.231203	2.849593	2.319601	0.673728	0.674416	0.313549	0.45391	0.125107	0.00759	1.899833	2.014088	-0.095526
7,647	train	H1	H04	150	150	50	55.333333	56.666667	-2.199525	2.040047	2.240983	2.348926	5.606807	6.576092	5.62755	2.348926	2.240983	0.034299	5.517455	5.050751	4.206058	4.81198	4.879945	-2.116537
7,647	train	H0	H04	200	200	50	43.5	48.5	1.328694	-1.395221	-1.084912	-1.082867	2.25179	2.420478	2.181282	1.328694	1.395221	0.148887	1.172601	1.78341	1.947164	0.094641	0.112598	1.443476
7,647	train	H1	H04	200	200	50	50	54.5	-0.364779	0.409933	0.124863	0.124794	0.94403	1.455707	1.05721	0.124794	0.409933	0.589427	0.015574	0.061373	0.168152	0.207787	0.150612	-0.424078
7,647	train	H0	H04	300	300	50	47.333333	48.666667	0.444608	-0.523381	-0.324074	-0.323237	0.248166	1.197697	0.330923	-0.323237	0.523381	0.585452	0.104482	0.160006	0.273832	0.003221	0.006963	0.545438
7,647	train	H1	H04	300	300	50	48.333333	47	-1.970266	2.021667	1.772792	1.785161	4.139152	4.190134	4.114383	-1.970266	2.021667	0.034733	3.1868	3.944445	4.094583	0.926558	0.934745	-2.111458
7,647	train	H0	H04	500	500	50	53	48.2	-1.347649	1.335978	1.298441	1.299055	1.848101	2.67674	1.818109	-1.347649	1.335978	0.165405	1.687545	1.907144	1.7848	0.867755	0.892978	-1.387121
7,647	train	H1	H04	500	500	50	51.8	48	-3.982743	4.143507	3.491731	3.535062	17.983058	18.267207	17.816264	-3.982743	4.143507	0.000017	12.496665	16.28908	17.236208	2.174769	2.288872	-4.298008
7,647	train	H0	H04	1,000	1,000	50	50.9	50.9	0.674708	-0.557738	-0.789387	-0.789624	0.688757	1.781712	0.736049	-0.789624	0.789387	0.561672	0.623506	0.527336	0.311098	0.662852	0.658704	0.58036
7,647	train	H1	H04	1,000	1,000	50	50.6	45.6	-3.991655	4.087729	3.587207	3.595594	16.743641	16.93087	16.937642	3.595594	4.087729	0.000022	12.928294	15.529364	16.7392	3.256951	3.401298	-4.243595
7,647	train	H0	H05	20	20	0	0	0	-0.676252	0.676252	0.892699	0.888763	1.006261	2.543197	0.867939	0.888763	0.892699	0.467535	0.7899	0.517307	0.454215	1.030641	0.895765	-0.684867
7,647	train	H1	H05	20	20	0	0	0	0.865603	-0.865603	-0.479156	-0.471038	1.396317	1.92662	1.137564	-0.471038	0.865603	0.380688	0.221876	0.595962	0.746356	0.016276	0.000209	0.87663
7,647	train	H0	H05	30	30	0	0	0	-1.241892	1.241892	0.903652	0.891155	1.477399	2.521169	1.717881	-1.241892	1.241892	0.210434	0.794156	1.21451	1.543814	0.101802	0.08306	-1.252372
7,647	train	H1	H05	30	30	0	0	0	1.40452	-1.40452	-1.56622	-1.582362	2.512561	2.811372	2.504027	-1.582362	1.56622	0.156666	2.50387	2.216499	1.976782	1.674408	1.624499	1.416373
7,647	train	H0	H05	50	50	0	0	0	-0.52393	0.52393	0.171601	0.169745	0.523453	0.444442	0.62802	-0.52393	0.52393	0.598492	0.028813	0.141953	0.273741	0.038954	0.025333	-0.52657
7,647	train	H1	H05	50	50	0	0	0	-0.337797	0.337797	0.41285	0.409378	0.187519	1.068208	0.169489	-0.337797	0.41285	0.734234	0.167591	0.189633	0.113926	0.172148	0.24783	-0.339499
7,647	train	H0	H05	75	75	0	0	0	1.640685	-1.640685	-1.410098	-1.411988	2.37168	4.618066	2.703809	1.640685	1.640685	0.102013	1.99371	2.369814	2.700383	0.632594	0.569487	1.63517
7,647	train	H1	H05	75	75	0	0	0	0.719796	-0.719796	0.626262	0.643056	11.204775	18.703361	9.036139	0.719796	0.719796	0.000315	0.41352	0.066146	0.517909	3.765962	3.49381	0.717377
7,647	train	H0	H05	100	100	0	0	0	0.334744	-0.334744	0.730842	0.737523	5.285583	5.521852	4.922739	0.334744	0.730842	0.085318	0.543939	0.001964	0.111933	2.82101	2.713627	0.335584
7,647	train	H1	H05	100	100	0	0	0	0.965139	-0.965139	0.017899	0.017804	3.194296	3.569672	3.996422	0.965139	0.965139	0.135578	0.000317	0.307801	0.93223	1.028868	1.001141	0.967561
7,647	train	H0	H05	150	150	0	0	0	-0.827955	0.827955	1.448512	1.454086	2.855127	2.809875	2.954458	1.454086	1.448512	0.228269	2.114368	1.229941	0.685271	3.073194	3.040885	-0.829338
7,647	train	H1	H05	150	150	0	0	0	1.518804	-1.518804	-1.041352	-1.045808	3.914476	8.288385	2.648498	-1.045808	1.518804	0.040413	1.093715	2.275161	2.30968	0.094187	0.15296	1.521342
7,647	train	H0	H05	200	200	0	0	0	-0.747312	0.747312	1.651455	1.674696	6.549298	12.97484	5.221016	-0.747312	1.651455	0.004691	2.804607	1.088812	0.55824	5.135915	4.949208	-0.748248
7,647	train	H1	H05	200	200	0	0	0	0.414309	-0.414309	-0.797701	-0.795302	0.905035	0.907905	0.946825	-0.795302	0.797701	0.622873	0.632505	0.33373	0.171493	0.875388	0.85778	0.414827
7,647	train	H0	H05	300	300	0	0	0	1.207204	-1.207204	-1.058716	-1.056833	1.699083	2.104975	1.457911	1.207204	1.207204	0.226966	1.116895	1.551898	1.457594	0.376669	0.424705	1.208211
7,647	train	H1	H05	300	300	0	0	0	4.718129	-4.718129	-4.193396	-4.268408	23.518797	23.967041	22.568346	-4.268408	4.718129	0.000002	18.219305	22.893872	22.498191	7.803566	8.010475	4.722066
7,647	train	H0	H05	500	500	0	0	0	1.708916	-1.708916	-0.645002	-0.644033	4.180519	5.916143	5.751779	1.708916	1.708916	0.056366	0.414779	1.59578	2.922872	0.327089	0.348437	1.709772
7,647	train	H1	H05	500	500	0	0	0	3.372942	-3.372942	-2.331064	-2.335879	12.626175	12.2109	12.847217	3.372942	3.372942	0.000739	5.456332	9.541339	11.413878	0.566078	0.630212	3.37463
7,647	train	H0	H05	1,000	1,000	0	0	0	2.690586	-2.690586	-2.985217	-2.993418	9.025417	9.053426	8.995126	2.690586	2.985217	0.007118	8.960552	8.434819	7.245221	6.263233	6.273579	2.691259
7,647	train	H1	H05	1,000	1,000	0	0	0	2.969216	-2.969216	-1.640124	-1.639562	10.535615	10.523528	12.334867	2.969216	2.969216	0.002097	2.688164	6.160974	8.827499	0.006454	0.004328	2.969959
7,647	train	H0	H05	20	20	10	20	20	-0.624268	0.640246	0.386	0.378092	0.515761	2.188015	0.668888	0.378092	0.640246	0.514677	0.142954	0.243392	0.408022	0.001648	0.004062	-0.651573
7,647	train	H1	H05	20	20	10	5	10	1.642725	-1.615859	-1.619849	-1.655417	2.746452	10.641511	2.841817	-1.655417	1.619849	0.013831	2.740406	2.52737	2.637549	1.452991	1.272285	1.643941
7,647	train	H0	H05	30	30	10	13.333333	10	0.925956	-0.909426	-1.041913	-1.055769	1.123569	1.260062	1.127466	-1.055769	1.041913	0.355323	1.114648	0.987841	0.826102	0.73824	0.785915	0.924315
7,647	train	H1	H05	30	30	10	10	6.666667	-1.158356	1.172741	0.781576	0.772077	2.053061	2.834909	1.676607	-1.158356	1.172741	0.233141	0.596103	1.242938	1.373878	0.006805	0.055908	-1.192307
7,647	train	H0	H05	50	50	10	10	10	-2.056157	2.055566	1.706109	1.727726	4.693553	5.162234	4.379898	-2.056157	2.055566	0.035564	2.985036	4.19925	4.295701	0.596724	0.803764	-2.101874
7,647	train	H1	H05	50	50	10	14	12	1.730584	-1.764805	-1.123251	-1.123307	4.01943	4.104606	4.030433	1.730584	1.764805	0.072287	1.261818	2.429028	3.134821	0.02789	0.038986	1.797308
7,647	train	H0	H05	75	75	10	8	10.666667	1.25209	-1.24373	-1.166179	-1.161883	1.816448	3.458939	1.57769	1.25209	1.24373	0.214524	1.349972	1.723629	1.548708	0.538349	0.691548	1.241221
7,647	train	H1	H05	75	75	10	10.666667	6.666667	-0.008428	-0.063385	0.692182	0.690811	1.298846	9.49372	2.311479	0.690811	0.692182	0.023398	0.47722	0.126921	0.004013	1.626196	2.002925	0.061162
7,647	train	H0	H05	100	100	10	6	13	0.710951	-0.696345	-0.845312	-0.840878	0.730759	0.7823	0.717355	-0.840878	0.845312	0.482933	0.707075	0.559604	0.484242	0.538317	0.533642	0.701593
7,647	train	H1	H05	100	100	10	11	8	1.692291	-1.699842	-1.476954	-1.489957	2.559804	6.706434	2.88526	1.692291	1.699842	0.081867	2.219973	2.541994	2.901471	0.72792	0.664916	1.71461
7,647	train	H0	H05	150	150	10	18	12	-0.570922	0.556759	0.556411	0.554778	0.361273	1.172119	0.332514	0.554778	0.556759	0.574247	0.307779	0.353197	0.309614	0.184772	0.229255	-0.561807
7,647	train	H1	H05	150	150	10	10	12	1.98467	-1.967676	-2.014781	-2.024847	4.250188	4.326305	4.252307	1.98467	2.014781	0.046667	4.100004	4.210774	3.880524	2.297961	2.318148	1.989311
7,647	train	H0	H05	200	200	10	8	6.5	-0.810745	0.844333	0.031814	0.03177	2.711915	3.040411	2.863048	-0.810745	0.844333	0.238944	0.001009	0.313419	0.712529	0.700037	0.677339	-0.848378
7,647	train	H1	H05	200	200	10	8.5	12.5	3.03574	-2.984345	-3.660477	-3.760949	15.05074	15.345899	14.92264	-3.760949	3.660477	0.000575	14.144741	11.221457	8.956643	13.409691	13.340323	3.01068
7,647	train	H0	H05	300	300	10	9	10	0.591238	-0.627559	0.0022	0.002199	1.14549	3.902494	1.706057	0.591238	0.627559	0.272187	0.000005	0.117102	0.39375	0.464517	0.512822	0.631544
7,647	train	H1	H05	300	300	10	8	11	1.629625	-1.659231	-0.853663	-0.855763	5.262001	5.823875	4.437497	1.629625	1.659231	0.094752	0.73233	2.190777	2.754209	0.043409	0.03896	1.670845
7,647	train	H0	H05	500	500	10	9.2	7.6	-0.595163	0.611486	0.378575	0.377825	0.421715	0.431148	0.460369	-0.595163	0.611486	0.538559	0.142752	0.283741	0.373773	0.003167	0.004565	-0.614994
7,647	train	H1	H05	500	500	10	10.8	9.4	1.70906	-1.670374	-2.144195	-2.158005	4.947218	4.964905	4.917398	-2.158005	2.144195	0.085546	4.656988	3.580996	2.792123	4.373822	4.345919	1.680787
7,647	train	H0	H05	1,000	1,000	10	10.1	12.3	0.530657	-0.502933	-0.85351	-0.853221	1.418816	2.713752	1.001306	-0.853221	0.85351	0.437895	0.727986	0.279025	0.252915	0.993088	0.978188	0.506864
7,647	train	H1	H05	1,000	1,000	10	10.8	10.9	2.896965	-2.85003	-3.221018	-3.238941	10.521171	10.919553	10.491043	2.896965	3.221018	0.004094	10.490737	9.113068	8.131897	7.770165	7.757903	2.870814

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