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	H26	20	20	30	45	25	-0.685656	0.489323	1.023448	1.017376	1.747194	2.508398	1.844036	1.017376	1.023448	0.397716	1.035055	0.57555	0.2546	2.001209	2.038001	-0.543953
7,647	train	H1	H26	20	20	30	15	35	1.124793	-1.199844	-0.901894	-0.889437	1.327555	2.115074	1.441082	1.124793	1.199844	0.211304	0.791099	1.165628	1.430035	0.061139	0.065379	1.249988
7,647	train	H0	H26	30	30	30	36.666667	30	-0.269888	0.208834	0.331833	0.328524	0.178126	3.814912	0.123528	0.328524	0.331833	0.282156	0.107928	0.03712	0.047039	0.174498	0.107756	-0.221836
7,647	train	H1	H26	30	30	30	23.333333	36.666667	1.181175	-1.260074	-1.330005	-1.322332	1.902352	10.303772	1.764878	1.181175	1.330005	0.016153	1.748563	1.471056	1.587078	1.369039	1.142235	1.347213
7,647	train	H0	H26	50	50	30	30	34	-0.995367	1.074082	0.742051	0.742223	1.139698	2.17358	1.280763	0.742223	1.074082	0.259569	0.550895	0.870662	1.154098	0.038024	0.030205	-1.127411
7,647	train	H1	H26	50	50	30	20	32	0.910728	-1.13961	-0.289852	-0.289313	1.519728	10.300979	2.639481	0.910728	1.13961	0.016174	0.083702	0.4496	1.298646	0.292889	0.409708	1.211775
7,647	train	H0	H26	75	75	30	36	24	-1.025924	1.059179	1.079148	1.069706	1.144667	2.43915	1.154219	-1.025924	1.079148	0.266232	1.144272	1.133275	1.119085	0.813447	0.730452	-1.111782
7,647	train	H1	H26	75	75	30	25.333333	25.333333	-0.806108	0.739281	0.93142	0.930296	0.867031	1.007756	0.881903	-0.806108	0.93142	0.445768	0.865451	0.789971	0.54812	0.794081	0.792765	-0.762489
7,647	train	H0	H26	100	100	30	39	30	-1.29792	1.277699	1.321459	1.312394	1.757902	1.824009	1.764513	1.312394	1.321459	0.182439	1.722378	1.659765	1.630301	0.976787	1.15006	-1.333282
7,647	train	H1	H26	100	100	30	36	38	-0.382301	0.377541	0.044278	0.044146	1.050313	1.405117	0.892348	0.044146	0.377541	0.640072	0.001949	0.110467	0.144836	0.270759	0.247706	-0.396534
7,647	train	H0	H26	150	150	30	24	29.333333	-0.038023	0.126199	-0.300764	-0.299486	0.568689	0.694013	0.644608	-0.299486	0.300764	0.724478	0.089692	0.0029	0.015911	0.389634	0.392875	-0.128977
7,647	train	H1	H26	150	150	30	26.666667	30.666667	-0.09291	0.130869	-0.233937	-0.233186	0.858665	1.239869	0.645115	-0.233186	0.233937	0.724294	0.054376	0.007202	0.01753	0.373416	0.333273	-0.137275
7,647	train	H0	H26	200	200	30	29.5	32.5	0.792149	-0.576695	-1.412991	-1.416597	3.551027	3.484727	3.70781	-1.416597	1.412991	0.156624	2.006748	0.868118	0.332532	3.472779	3.424884	0.604533
7,647	train	H1	H26	200	200	30	33.5	34	0.083175	-0.251193	0.149839	0.149143	0.165593	1.29447	0.371547	0.083175	0.251193	0.730447	0.022244	0.000242	0.063047	0.216286	0.232405	0.263233
7,647	train	H0	H26	300	300	30	28.666667	30.333333	0.184843	-0.014354	-0.557292	-0.555926	0.619764	2.656656	0.961113	-0.555926	0.557292	0.447644	0.309054	0.099121	0.000206	0.782352	0.862533	0.016138
7,647	train	H1	H26	300	300	30	33.666667	27	0.325379	-0.680771	0.606211	0.606267	3.700782	10.43761	5.361117	0.325379	0.680771	0.01519	0.36756	0.000494	0.463549	2.825593	2.902243	0.713114
7,647	train	H0	H26	500	500	30	27.2	28	-0.640026	0.698435	0.421278	0.421075	0.47184	1.325556	0.573058	0.421075	0.698435	0.467437	0.177304	0.349404	0.487683	0.000893	0.000017	-0.726655
7,647	train	H1	H26	500	500	30	32	30.4	1.204371	-1.517073	-0.273794	-0.273689	5.078067	5.598893	6.074318	1.204371	1.517073	0.047971	0.074905	0.922554	2.302783	1.138132	1.116585	1.594356
7,647	train	H0	H26	1,000	1,000	30	29.1	32.3	1.436918	-1.471866	-1.147721	-1.146863	2.232938	2.225001	2.257172	1.436918	1.471866	0.12619	1.315295	1.971889	2.166209	0.191656	0.210927	1.529302
7,647	train	H1	H26	1,000	1,000	30	29.8	32.6	1.487407	-1.745769	-1.131383	-1.130709	1.615165	9.669094	2.563628	1.487407	1.745769	0.021599	1.278503	1.694295	3.049231	0.124193	0.106056	1.830766
7,647	train	H0	H26	20	20	40	35	45	1.779549	-1.874502	-1.208319	-1.20576	6.004723	7.984971	5.610105	1.779549	1.874502	0.046278	1.453857	2.982121	3.542338	0.020112	0.104366	1.992848
7,647	train	H1	H26	20	20	40	45	45	-0.004614	0.167542	-0.453224	-0.4499	2.347428	2.769377	2.221623	-0.4499	0.453224	0.329292	0.20241	0.000712	0.05254	1.104976	0.88442	-0.255549
7,647	train	H0	H26	30	30	40	30	43.333333	0.157724	-0.090835	-0.137787	-0.136027	0.06925	2.619429	0.024491	-0.136027	0.137787	0.454094	0.018503	0.027843	0.008228	0.000249	0.009535	0.08566
7,647	train	H1	H26	30	30	40	33.333333	30	-0.123548	-0.043604	0.311388	0.314558	0.159325	8.751405	0.356844	-0.123548	0.311388	0.032785	0.098947	0.05211	0.001907	0.248135	0.489451	0.044306
7,647	train	H0	H26	50	50	40	52	46	0.603798	-0.589543	-0.646806	-0.656504	0.445689	0.759252	0.437004	-0.656504	0.646806	0.516228	0.430997	0.356222	0.347784	0.18963	0.197571	0.649172
7,647	train	H1	H26	50	50	40	44	42	-0.350657	0.150126	0.826691	0.823337	2.716078	3.515776	2.481753	0.823337	0.826691	0.289131	0.677883	0.136238	0.022513	2.140411	1.948309	-0.176644
7,647	train	H0	H26	75	75	40	37.333333	36	0.048586	-0.125125	0.140294	0.138776	0.264005	0.472297	0.227309	0.138776	0.140294	0.892566	0.019259	0.000863	0.015617	0.198426	0.149159	0.132235
7,647	train	H1	H26	75	75	40	36	48	0.832142	-0.739334	-1.252286	-1.23933	2.756406	4.173047	2.473647	-1.23933	1.252286	0.243374	1.53594	0.747815	0.545391	2.302249	2.00557	0.7914
7,647	train	H0	H26	100	100	40	47	39	0.201199	-0.203939	-0.337572	-0.33903	0.344462	1.742172	0.239236	0.201199	0.337572	0.627599	0.114941	0.037973	0.041569	0.204769	0.153475	0.215911
7,647	train	H1	H26	100	100	40	43	50	0.191349	-0.027796	-0.602021	-0.59859	2.028795	2.912867	1.728615	-0.59859	0.602021	0.405255	0.35831	0.015764	0.000684	1.414934	1.213506	0.036269
7,647	train	H0	H26	150	150	40	43.333333	39.333333	-0.450892	0.358744	0.408388	0.406845	0.231536	0.404377	0.203988	-0.450892	0.408388	0.699072	0.165523	0.181572	0.128519	0.067451	0.07742	-0.386573
7,647	train	H1	H26	150	150	40	43.333333	40	-0.714224	0.598284	0.511286	0.509745	1.188795	5.082376	0.7206	-0.714224	0.598284	0.165864	0.259839	0.607599	0.358738	0.004698	0.000309	-0.640591
7,647	train	H0	H26	200	200	40	36.5	44.5	2.193424	-2.048311	-2.466561	-2.476469	6.243138	6.289217	6.228078	-2.476469	2.466561	0.028427	6.1329	5.053264	4.198008	4.804811	4.811955	2.191346
7,647	train	H1	H26	200	200	40	43.5	36	0.095986	-0.344374	0.379637	0.379639	1.563873	2.388386	1.874089	0.095986	0.379637	0.391784	0.144126	0.000143	0.11819	1.125889	1.136339	0.361857
7,647	train	H0	H26	300	300	40	38.333333	39.333333	1.208502	-1.155405	-1.092436	-1.091408	1.500128	1.613321	1.467295	1.208502	1.155405	0.218529	1.191172	1.479717	1.334724	0.369474	0.360394	1.230448
7,647	train	H1	H26	300	300	40	42.666667	40.333333	-0.506178	0.230627	0.511691	0.511263	0.4061	4.760732	0.267608	-0.506178	0.511691	0.19018	0.26139	0.313053	0.053187	0.113522	0.151057	-0.248287
7,647	train	H0	H26	500	500	40	39.2	33.4	-1.432269	1.446485	1.200371	1.200648	2.203951	2.318476	2.163326	-1.432269	1.446485	0.128044	1.441555	1.951123	2.092121	0.285222	0.328479	-1.521861
7,647	train	H1	H26	500	500	40	39	40.6	1.465821	-1.73474	-1.199789	-1.198313	2.023395	3.467976	2.369571	-1.198313	1.73474	0.064278	1.435954	2.014263	3.01341	0.22275	0.214118	1.850247
7,647	train	H0	H26	1,000	1,000	40	39.3	38.3	0.889063	-0.969977	-0.399851	-0.399548	2.128913	2.489045	2.093568	0.889063	0.969977	0.305794	0.159639	0.714834	0.940897	0.187923	0.191799	1.024088
7,647	train	H1	H26	1,000	1,000	40	41.9	39.1	-0.809174	0.352668	1.040172	1.041137	1.110412	29.261188	1.30602	-0.809174	1.040172	0.000002	1.083967	0.934925	0.124397	1.113395	1.227261	-0.376294
7,647	train	H0	H26	20	20	50	45	25	0.211469	-0.236973	0.332636	0.32615	2.202263	2.721565	2.002826	0.211469	0.332636	0.36736	0.106374	0.003142	0.056096	1.233099	1.012178	0.23619
7,647	train	H1	H26	20	20	50	60	60	0.587071	-1.094233	-0.241791	-0.236662	2.173059	5.091008	2.367473	0.587071	1.094233	0.165253	0.056009	0.54048	1.194592	0.665152	0.664656	1.168306
7,647	train	H0	H26	30	30	50	50	33.333333	-2.582024	2.572114	2.557258	2.669549	7.198343	7.620185	7.225481	2.669549	2.572114	0.005567	7.126494	7.045629	6.813677	4.018828	4.003896	-2.772277
7,647	train	H1	H26	30	30	50	46.666667	40	1.104764	-1.405847	-0.634408	-0.638003	2.470798	7.933318	2.882278	1.104764	1.405847	0.04741	0.407048	1.065257	1.985717	0.079863	0.102653	1.563409
7,647	train	H0	H26	50	50	50	58	40	-1.113978	1.173013	0.994478	0.994335	1.274624	1.42022	1.297868	0.994335	1.173013	0.203292	0.988702	1.230134	1.37041	0.404056	0.414899	-1.272229
7,647	train	H1	H26	50	50	50	44	52	-0.090371	-0.057992	0.008836	0.008802	0.141329	1.795151	0.055862	0.008802	0.057992	0.615991	0.000077	0.004078	0.002786	0.004066	0.000162	0.061341
7,647	train	H0	H26	75	75	50	45.333333	52	0.522738	-0.543503	-0.449504	-0.447313	0.317987	0.32083	0.318834	-0.447313	0.543503	0.568155	0.200089	0.266109	0.294707	0.012111	0.013821	0.570771
7,647	train	H1	H26	75	75	50	53.333333	49.333333	0.309854	-0.546811	-0.007315	-0.007273	0.914014	0.870694	0.981041	-0.007273	0.546811	0.55809	0.000053	0.088451	0.299047	0.394541	0.345154	0.585682
7,647	train	H0	H26	100	100	50	45	43	-0.928826	0.932309	0.669209	0.66735	1.402333	2.22308	1.241361	-0.928826	0.932309	0.318078	0.445356	0.828264	0.868484	0.003573	0.011053	-0.998416
7,647	train	H1	H26	100	100	50	49	54	0.449818	-0.386	-0.560985	-0.558802	0.472434	2.116863	0.419195	-0.558802	0.560985	0.548509	0.312259	0.149591	0.148778	0.336397	0.259356	0.413596
7,647	train	H0	H26	150	150	50	53.333333	56.666667	-0.042377	-0.060395	0.109772	0.109178	0.062819	0.230191	0.052063	0.109178	0.109772	0.950207	0.01192	0.000682	0.00353	0.072746	0.056194	0.062447
7,647	train	H1	H26	150	150	50	48.666667	47.333333	-0.082999	-0.187546	0.470237	0.469938	1.485608	1.797894	1.651482	-0.082999	0.470237	0.43791	0.220842	0.021771	0.03524	1.225515	1.228901	0.198172
7,647	train	H0	H26	200	200	50	48.5	49.5	-0.071232	-0.099872	0.125766	0.125607	0.016642	1.643793	0.040806	0.125607	0.125766	0.649501	0.015777	0.006436	0.00997	0.0514	0.062917	0.105656
7,647	train	H1	H26	200	200	50	45.5	49	1.378767	-1.66091	-0.758466	-0.756038	4.474786	4.342371	4.593159	1.378767	1.66091	0.074165	0.571593	1.815366	2.756041	0.251953	0.212713	1.785594
7,647	train	H0	H26	300	300	50	52.333333	52	0.205836	0.019682	-0.410127	-0.409485	0.425374	1.691845	0.539392	-0.409485	0.410127	0.638748	0.167678	0.037255	0.000387	0.416976	0.464076	-0.020473
7,647	train	H1	H26	300	300	50	52.666667	50.333333	0.463295	-1.079407	0.166407	0.166013	3.095603	7.2842	4.006363	0.463295	1.079407	0.06337	0.02756	0.210189	1.164127	1.586744	1.645489	1.165728
7,647	train	H0	H26	500	500	50	48.2	51.8	0.434861	-0.45605	-0.501052	-0.500998	0.306218	1.744015	0.267901	0.434861	0.501052	0.624112	0.250999	0.183854	0.207654	0.219065	0.190129	0.490031
7,647	train	H1	H26	500	500	50	49	49.2	1.737923	-1.839978	-2.002105	-2.025762	4.995123	20.258845	4.482526	-2.025762	2.002105	0.00015	4.103712	2.976319	3.390945	4.268362	4.131749	1.993718
7,647	train	H0	H26	1,000	1,000	50	52.6	48.3	-2.563481	2.463169	2.445931	2.447853	6.689645	7.245913	6.576845	-2.563481	2.463169	0.008266	5.991982	6.530576	6.068904	2.378467	2.486172	-2.640997
7,647	train	H1	H26	1,000	1,000	50	48.8	50.7	2.399627	-2.889773	-2.154503	-2.163364	5.176042	15.915873	5.896547	-2.163364	2.889773	0.00118	4.680144	5.67272	8.363215	1.452101	1.423909	3.131676
7,647	train	H0	H27	20	20	0	0	0	0.541002	-0.541002	-0.754915	-0.74826	0.781856	2.550405	0.644511	0.541002	0.754915	0.466251	0.559893	0.344426	0.290698	0.523154	0.408935	0.547894
7,647	train	H1	H27	20	20	0	0	0	-0.513952	0.513952	-0.042019	-0.041731	1.972365	3.458232	1.50867	-0.513952	0.513952	0.32622	0.001741	0.123757	0.26245	0.420974	0.273349	-0.520499
7,647	train	H0	H27	30	30	0	0	0	0.384395	-0.384395	0.331726	0.334879	3.361401	7.587591	2.539082	0.384395	0.384395	0.05535	0.112144	0.024947	0.146988	1.168668	0.964199	0.387639
7,647	train	H1	H27	30	30	0	0	0	-0.63573	0.63573	0.55634	0.548159	0.524654	1.503361	0.40283	-0.63573	0.63573	0.521461	0.300478	0.444363	0.402481	0.138113	0.240986	-0.641095
7,647	train	H0	H27	50	50	0	0	0	0.351585	-0.351585	-0.152864	-0.150926	0.108925	1.000706	0.226489	0.351585	0.351585	0.723822	0.022779	0.056762	0.123159	0.019163	0.038529	0.353356
7,647	train	H1	H27	50	50	0	0	0	0.951347	-0.951347	-0.417642	-0.414267	0.820334	4.481975	1.660118	0.951347	0.951347	0.213904	0.171617	0.412823	0.906771	0.062583	0.112477	0.95614
7,647	train	H0	H27	75	75	0	0	0	0.332647	-0.332647	-0.497753	-0.49713	0.45024	3.710021	0.294819	0.332647	0.497753	0.294527	0.247138	0.124542	0.110396	0.250118	0.180306	0.331529
7,647	train	H1	H27	75	75	0	0	0	0.155987	-0.155987	0.277361	0.275776	0.303007	2.110146	0.737194	0.155987	0.277361	0.549863	0.076052	0.013649	0.024339	0.414361	0.51526	0.155463
7,647	train	H0	H27	100	100	0	0	0	-0.669489	0.669489	1.168057	1.170462	1.884876	2.004205	1.913098	1.170462	1.168057	0.384217	1.369981	0.822942	0.448226	1.962861	1.878617	-0.671169
7,647	train	H1	H27	100	100	0	0	0	-0.87962	0.87962	1.077293	1.076	1.16014	2.225285	1.17321	-0.87962	1.077293	0.37787	1.157776	1.064735	0.773782	1.019262	1.184337	-0.881827
7,647	train	H0	H27	150	150	0	0	0	-0.752081	0.752081	0.567853	0.567109	0.337877	5.256245	0.598592	-0.752081	0.752081	0.153967	0.321613	0.355051	0.565628	0.053597	0.028578	-0.753338
7,647	train	H1	H27	150	150	0	0	0	1.892848	-1.892848	-1.70583	-1.714888	3.057772	6.374618	3.605516	1.892848	1.892848	0.057959	2.94084	3.020451	3.592627	1.181576	1.101786	1.896011
7,647	train	H0	H27	200	200	0	0	0	-1.035339	1.035339	0.737543	0.736928	1.522137	2.778092	1.183691	-1.035339	1.035339	0.299906	0.543064	1.01031	1.072018	0.053952	0.087546	-1.036636
7,647	train	H1	H27	200	200	0	0	0	1.09502	-1.09502	-0.1099	-0.109653	2.315082	4.205505	4.104943	1.09502	1.09502	0.128417	0.012024	0.341122	1.202658	0.761234	0.832064	1.096392
7,647	train	H0	H27	300	300	0	0	0	-0.137065	0.137065	0.100974	0.100676	0.112543	0.688464	0.020119	0.100676	0.137065	0.875914	0.010136	0.036739	0.018774	0.002598	0.006505	-0.137179
7,647	train	H1	H27	300	300	0	0	0	2.486473	-2.486473	-1.436129	-1.436342	6.908234	5.853474	8.358258	2.486473	2.486473	0.012827	2.063077	4.223124	6.201687	0.002829	0.009095	2.488548
7,647	train	H0	H27	500	500	0	0	0	1.954831	-1.954831	-2.523377	-2.53504	6.610271	6.580974	6.687533	-2.53504	2.523377	0.035304	6.426428	5.107543	3.824525	5.976984	5.984783	1.955809
7,647	train	H1	H27	500	500	0	0	0	1.631179	-1.631179	-0.313229	-0.314692	2.129721	36.69579	7.771018	1.631179	1.631179	0	0.099031	0.608907	2.668658	1.049565	1.170446	1.631995
7,647	train	H0	H27	1,000	1,000	0	0	0	0.510409	-0.510409	0.581673	0.582152	4.879735	4.832011	4.52855	0.510409	0.581673	0.103905	0.338901	0.021347	0.260484	2.329871	2.274763	0.510537
7,647	train	H1	H27	1,000	1,000	0	0	0	3.56179	-3.56179	-2.379167	-2.39349	7.807076	44.262035	14.85587	3.56179	3.56179	0	5.728796	7.562052	12.725058	0.437198	0.397453	3.56268
7,647	train	H0	H27	20	20	10	5	5	-1.943524	1.948246	1.528621	1.545293	3.938311	4.042759	4.144747	-1.943524	1.948246	0.048993	2.38793	3.265653	3.862172	0.299503	0.358982	-1.968651
7,647	train	H1	H27	20	20	10	15	15	0.596478	-0.653017	-0.357819	-0.352196	0.471675	0.613319	0.564546	0.596478	0.653017	0.502415	0.124042	0.260789	0.425688	0.011823	0.012524	0.670694
7,647	train	H0	H27	30	30	10	13.333333	13.333333	-0.092954	0.084586	0.397886	0.395961	0.813435	2.870241	0.597427	0.395961	0.397886	0.412067	0.156785	0.028591	0.007114	0.580349	0.472022	-0.092687
7,647	train	H1	H27	30	30	10	0	0	0.029569	-0.029569	-0.212753	-0.2103	0.358699	2.641675	0.15612	0.029569	0.212753	0.45023	0.044226	0.00117	0.000869	0.084299	0.03363	0.029818
7,647	train	H0	H27	50	50	10	8	10	0.398029	-0.427406	0.233296	0.232681	2.255584	2.440671	2.031091	0.398029	0.427406	0.362205	0.05414	0.041548	0.182027	0.886393	0.815133	0.436099
7,647	train	H1	H27	50	50	10	14	4	-1.07337	1.002781	2.068006	2.134967	9.460356	9.169888	9.642054	2.134967	2.068006	0.008059	4.558086	2.318491	1.00852	9.266685	9.119485	-1.021452
7,647	train	H0	H27	75	75	10	4	6.666667	0.063314	-0.087364	0.417097	0.417048	1.485724	2.642647	1.09102	0.063314	0.417097	0.450062	0.173929	0.002036	0.007614	0.766795	0.660567	0.087382
7,647	train	H1	H27	75	75	10	10.666667	6.666667	-0.368916	0.349245	0.535006	0.530302	0.298339	1.096466	0.338902	0.530302	0.535006	0.725367	0.28122	0.208428	0.12165	0.382544	0.477048	-0.351295
7,647	train	H0	H27	100	100	10	10	10	-0.181251	0.154809	0.806228	0.812631	2.772211	4.191616	2.312821	0.812631	0.806228	0.241503	0.660369	0.136705	0.023925	1.92014	1.803571	-0.15546
7,647	train	H1	H27	100	100	10	15	14	0.63422	-0.667377	-0.237828	-0.236845	0.587864	3.519442	1.052164	0.63422	0.667377	0.318249	0.056095	0.162365	0.445606	0.095294	0.115127	0.674652
7,647	train	H0	H27	150	150	10	9.333333	4.666667	-0.286339	0.29689	0.112436	0.112884	0.492645	3.412488	0.181476	0.112884	0.29689	0.332291	0.012743	0.106292	0.088073	0.010308	0.002328	-0.299647
7,647	train	H1	H27	150	150	10	12.666667	10	2.186392	-2.202925	-1.329873	-1.33262	5.407147	9.538893	7.007676	2.186392	2.202925	0.022921	1.775877	3.181941	4.877014	0.002561	0.000039	2.219142
7,647	train	H0	H27	200	200	10	13.5	9	-0.583598	0.569132	0.663664	0.663088	0.440211	0.648827	0.440414	-0.583598	0.663664	0.565717	0.439686	0.381883	0.323679	0.363485	0.407256	-0.574371
7,647	train	H1	H27	200	200	10	8	11	1.987786	-1.972686	-1.705446	-1.71067	3.221222	12.279598	3.994121	1.987786	1.972686	0.006484	2.92639	3.054672	3.902944	0.958469	0.893357	1.984724
7,647	train	H0	H27	300	300	10	9.333333	12.333333	1.080473	-1.103712	-0.775679	-0.774847	1.05132	2.689842	1.348623	1.080473	1.103712	0.265359	0.600388	0.897561	1.218068	0.045628	0.038882	1.113814
7,647	train	H1	H27	300	300	10	12	11	-0.80258	0.774309	1.356529	1.360732	2.03011	10.469657	2.787684	-0.80258	1.356529	0.014968	1.851592	1.515243	0.601105	2.619047	2.712534	-0.778761
7,647	train	H0	H27	500	500	10	9.6	11.6	-0.011379	-0.020531	0.553803	0.55527	1.903038	2.675155	1.52738	-0.011379	0.553803	0.444466	0.308325	0.021204	0.000421	1.119883	1.083828	0.020423
7,647	train	H1	H27	500	500	10	8.2	10.8	2.789556	-2.826754	-1.950251	-1.950241	5.936209	23.96906	9.215064	2.789556	2.826754	0.000025	3.803441	5.170915	8.014193	0.313898	0.253026	2.849226
7,647	train	H0	H27	1,000	1,000	10	8.7	9.1	0.702658	-0.702192	-0.735786	-0.735288	0.614764	3.618286	0.552036	0.702658	0.735786	0.305742	0.540648	0.376111	0.493045	0.327988	0.297006	0.706187
7,647	train	H1	H27	1,000	1,000	10	9.3	11.1	1.799458	-1.847719	-0.790526	-0.790488	2.614045	25.918157	6.544961	1.799458	1.847719	0.00001	0.624871	1.300707	3.418567	0.253381	0.286975	1.860593

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