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	H25	20	20	40	40	45	-0.27971	0.258018	0.205916	0.203231	0.129425	0.154327	0.125371	0.203231	0.258018	0.774732	0.041303	0.065245	0.065944	0.015981	0.031147	-0.286191
7,647	train	H1	H25	20	20	40	40	20	-0.119503	0.032962	0.442091	0.442556	0.649061	2.272179	0.791214	0.442556	0.442091	0.517872	0.195856	0.053713	0.001093	0.773241	0.883692	-0.047785
7,647	train	H0	H25	30	30	40	30	50	1.943184	-1.885797	-1.859343	-1.849718	3.76117	4.360763	3.809833	1.943184	1.885797	0.044668	3.421455	3.539339	3.595913	1.348815	1.238646	2.007771
7,647	train	H1	H25	30	30	40	46.666667	33.333333	0.239543	-0.611626	0.516123	0.513405	5.699909	7.249896	6.028773	0.239543	0.611626	0.049076	0.263584	0.015417	0.374389	2.864479	2.848963	0.609367
7,647	train	H0	H25	50	50	40	36	48	1.068296	-0.956761	-1.167073	-1.162689	1.36756	1.497116	1.364044	-1.162689	1.167073	0.310798	1.351845	1.136776	0.913891	0.898932	0.863309	1.013548
7,647	train	H1	H25	50	50	40	40	38	0.384741	-0.568841	0.054612	0.054235	1.697063	4.243745	1.957512	0.384741	0.568841	0.236318	0.002941	0.073539	0.322802	0.723836	0.769644	0.58724
7,647	train	H0	H25	75	75	40	42.666667	45.333333	0.447488	-0.317433	-0.640047	-0.638725	0.692241	1.045213	0.728728	-0.638725	0.640047	0.694638	0.40797	0.220995	0.100667	0.553105	0.587512	0.337156
7,647	train	H1	H25	75	75	40	34.666667	45.333333	0.332258	-0.136423	-0.708305	-0.701624	1.269269	3.726378	1.549867	-0.701624	0.708305	0.292567	0.492277	0.1857	0.017954	1.164415	1.382772	0.147569
7,647	train	H0	H25	100	100	40	38	42	0.165943	-0.252877	-0.003316	-0.003315	0.301136	0.327765	0.285185	0.165943	0.252877	0.788584	0.000011	0.033825	0.063874	0.118826	0.101654	0.268149
7,647	train	H1	H25	100	100	40	38	45	0.100853	0.048801	-0.473119	-0.470023	1.644819	1.678766	1.596657	-0.470023	0.473119	0.450081	0.220921	0.02254	0.002379	0.944632	0.850241	-0.043757
7,647	train	H0	H25	150	150	40	43.333333	36	-2.330476	2.301862	2.183396	2.189439	5.416075	5.395609	5.462227	-2.330476	2.301862	0.016679	4.793641	5.290825	5.322101	1.90638	2.007139	-2.393706
7,647	train	H1	H25	150	150	40	42.666667	42	-0.921	1.106832	0.472512	0.472066	2.626522	3.466561	2.802477	0.472066	1.106832	0.245733	0.222846	0.711487	1.22966	0.211024	0.238019	-1.160776
7,647	train	H0	H25	200	200	40	45	43	-0.714044	0.765196	0.539608	0.538374	0.755135	0.961522	0.709875	-0.714044	0.765196	0.416559	0.289847	0.504587	0.586715	0.014972	0.026894	-0.812406
7,647	train	H1	H25	200	200	40	38.5	36	-0.642523	0.808061	0.143034	0.142895	2.591758	2.657906	2.544403	0.142895	0.808061	0.280214	0.020419	0.336932	0.652474	0.523838	0.507473	-0.835479
7,647	train	H0	H25	300	300	40	44.666667	46	-0.915048	1.043589	0.593365	0.593912	1.79633	1.792762	1.780023	0.593912	1.043589	0.27214	0.352731	0.801129	1.089534	0.024247	0.019454	-1.098147
7,647	train	H1	H25	300	300	40	40.666667	40.333333	-0.18236	0.365504	-0.244147	-0.243898	1.590958	2.844266	1.782644	-0.243898	0.365504	0.410113	0.059486	0.008729	0.133538	0.785674	0.849202	-0.38208
7,647	train	H0	H25	500	500	40	37	39.2	-0.855244	1.068111	0.213686	0.2134	3.82125	3.730851	3.859003	-0.855244	1.068111	0.145221	0.04554	0.584853	1.140829	0.790951	0.755709	-1.116851
7,647	train	H1	H25	500	500	40	38.2	38.2	0.239632	-0.375904	0.169918	0.169788	1.467918	1.552934	1.445432	0.239632	0.375904	0.485432	0.028828	0.032715	0.141163	0.628145	0.642777	0.393337
7,647	train	H0	H25	1,000	1,000	40	42.8	37.3	-2.352757	2.131008	2.693795	2.698356	7.632286	7.593411	7.646997	-2.352757	2.693795	0.021851	7.281126	5.85433	4.542217	6.83598	6.820947	-2.238049
7,647	train	H1	H25	1,000	1,000	40	37.9	40.5	0.84226	-0.396786	-1.826323	-1.828678	10.442213	11.913188	11.180994	-1.828678	1.826323	0.003733	3.344062	1.052855	0.157475	9.382068	9.235054	0.412574
7,647	train	H0	H25	20	20	50	40	30	0.630429	-0.657607	-0.587589	-0.588732	0.374414	1.641734	0.403879	-0.588732	0.657607	0.473273	0.346605	0.369759	0.435267	0.024588	0.009835	0.717164
7,647	train	H1	H25	20	20	50	35	35	-0.535435	0.520548	0.427023	0.418826	0.419924	1.399474	0.338353	0.418826	0.520548	0.592383	0.175415	0.286592	0.269715	0.062113	0.155383	-0.535385
7,647	train	H0	H25	30	30	50	53.333333	50	-1.615344	1.428495	1.744001	1.836009	3.86495	5.446155	3.80693	-1.615344	1.744001	0.118724	3.370928	2.603434	2.071735	4.512355	4.403702	-1.560151
7,647	train	H1	H25	30	30	50	50	40	-1.161987	1.145164	1.095497	1.0889	1.360067	1.477917	1.37078	1.0889	1.145164	0.211445	1.185704	1.281547	1.344173	0.600731	0.509064	-1.249601
7,647	train	H0	H25	50	50	50	42	48	-0.391415	0.691915	-0.241243	-0.240023	4.344069	4.507474	4.43455	-0.240023	0.691915	0.108905	0.057611	0.094908	0.478086	1.783253	1.748067	-0.724119
7,647	train	H1	H25	50	50	50	68	48	-0.61934	0.359252	0.895315	0.900302	2.303825	4.01394	2.196591	0.900302	0.895315	0.259963	0.810543	0.291797	0.144321	1.890395	1.759346	-0.431624
7,647	train	H0	H25	75	75	50	46.666667	53.333333	0.735752	-0.907651	-0.558262	-0.561944	0.763808	2.003915	0.844495	0.735752	0.907651	0.328197	0.315781	0.580761	0.820958	0	0.000213	0.977752
7,647	train	H1	H25	75	75	50	44	50.666667	0.262354	-0.35573	-0.084771	-0.085274	0.463362	0.716448	0.418534	-0.085274	0.35573	0.710408	0.007272	0.075931	0.119231	0.133742	0.113905	0.371308
7,647	train	H0	H25	100	100	50	49	54	-0.084334	0.144534	0.082438	0.082524	0.010584	2.551575	0.00723	0.082524	0.144534	0.466042	0.00681	0.003211	0.021879	0.017993	0.010096	-0.151614
7,647	train	H1	H25	100	100	50	55	51	0.481615	-0.440794	-0.444547	-0.448796	0.287002	3.068112	0.238676	0.481615	0.444547	0.381242	0.201418	0.300544	0.192075	0.064856	0.073864	0.439098
7,647	train	H0	H25	150	150	50	44.666667	58	1.739403	-1.567017	-1.851553	-1.847109	3.432179	3.89061	3.444951	-1.847109	1.851553	0.097468	3.411813	3.048632	2.450754	2.5597	2.553088	1.657255
7,647	train	H1	H25	150	150	50	54.666667	55.333333	0.110921	-0.007889	-0.2879	-0.287589	0.672275	1.533752	0.609745	-0.287589	0.2879	0.674503	0.082707	0.005007	0.000038	0.458705	0.351479	0.007323
7,647	train	H0	H25	200	200	50	48.5	50.5	0.274675	-0.311988	-0.236397	-0.236625	0.07187	0.725294	0.085242	-0.236625	0.311988	0.740471	0.055992	0.061277	0.09657	0.002379	0.000776	0.33123
7,647	train	H1	H25	200	200	50	54.5	47	-0.422505	0.412573	0.412612	0.414551	0.181286	0.214049	0.17933	0.414551	0.412612	0.655524	0.171853	0.193639	0.171547	0.136728	0.135666	-0.446102
7,647	train	H0	H25	300	300	50	49.333333	55.666667	1.665046	-1.815367	-1.330261	-1.333161	3.830364	3.800495	3.831551	1.665046	1.815367	0.053131	1.777319	2.79844	3.297403	0.088137	0.095023	1.933855
7,647	train	H1	H25	300	300	50	53.666667	50.333333	-0.931056	0.795353	1.091355	1.090602	1.404922	1.414265	1.397002	1.090602	1.091355	0.398637	1.189413	0.842165	0.63247	1.458975	1.477089	-0.844058
7,647	train	H0	H25	500	500	50	50.2	49.4	-0.01433	-0.238376	0.455591	0.455151	2.669353	2.607791	2.638932	0.455151	0.455591	0.267278	0.207163	0.00093	0.056733	1.599988	1.536403	0.252211
7,647	train	H1	H25	500	500	50	49.4	50.2	-1.041847	1.472538	0.302842	0.302995	7.364525	8.286034	7.658839	0.302995	1.472538	0.021722	0.091806	1.049195	2.170251	1.705843	1.736469	-1.565222
7,647	train	H0	H25	1,000	1,000	50	48.7	48.4	-0.150993	0.307592	-0.142995	-0.14306	0.980353	1.011414	0.960806	-0.14306	0.307592	0.618534	0.020466	0.02694	0.094662	0.411833	0.405254	-0.326035
7,647	train	H1	H25	1,000	1,000	50	50	47.9	-0.977176	1.31685	0.447113	0.44736	3.445231	8.517603	4.043903	0.44736	1.31685	0.036442	0.200131	0.805194	1.734665	0.518633	0.540944	-1.396384
7,647	train	H0	H26	20	20	0	0	0	-0.13525	0.13525	0.099554	0.097231	0.053245	0.970893	0.020255	-0.13525	0.13525	0.808294	0.009454	0.022404	0.018093	0.014091	0.04941	-0.136973
7,647	train	H1	H26	20	20	0	0	0	-1.514805	1.514805	1.811675	1.88117	3.767966	3.843964	3.752536	-1.514805	1.811675	0.125004	3.538802	2.919339	2.315245	3.874282	3.894321	-1.534103
7,647	train	H0	H26	30	30	0	0	0	0.783575	-0.783575	-0.39681	-0.3904	1.008242	0.985331	0.998799	0.783575	0.783575	0.429419	0.152413	0.425337	0.612149	0.022872	0.008018	0.790187
7,647	train	H1	H26	30	30	0	0	0	2.321155	-2.321155	-2.377218	-2.493585	6.256951	6.492359	6.268258	-2.493585	2.377218	0.019245	6.217967	6.053109	5.506003	4.067551	4.09002	2.340743
7,647	train	H0	H26	50	50	0	0	0	-0.441204	0.441204	-0.018826	-0.018633	0.366827	3.585462	0.893152	-0.441204	0.441204	0.309846	0.000347	0.030958	0.194291	0.214261	0.31048	-0.443427
7,647	train	H1	H26	50	50	0	0	0	-1.654517	1.654517	1.086413	1.101348	4.720876	10.511514	3.373161	-1.654517	1.654517	0.014683	1.212966	2.582761	2.75575	0.005084	0.055388	-1.662852
7,647	train	H0	H26	75	75	0	0	0	-0.701003	0.701003	0.40697	0.403773	0.586238	1.485308	0.669384	-0.701003	0.701003	0.484773	0.163033	0.370937	0.491176	0.00007	0.001851	-0.698646
7,647	train	H1	H26	75	75	0	0	0	1.377574	-1.377574	-1.769719	-1.791418	3.53461	4.063344	3.405483	-1.791418	1.769719	0.16977	3.209177	2.367009	1.899239	3.009179	2.915827	1.372943
7,647	train	H0	H26	100	100	0	0	0	-0.095292	0.095292	1.079805	1.082767	3.225147	4.171183	4.272264	-0.095292	1.079805	0.118111	1.172384	0.334486	0.009091	3.299789	3.368632	-0.095531
7,647	train	H1	H26	100	100	0	0	0	0.877177	-0.877177	-1.044229	-1.046338	1.221499	1.663727	1.102023	0.877177	1.044229	0.379196	1.094823	0.761557	0.768888	0.864614	0.820943	0.879378
7,647	train	H0	H26	150	150	0	0	0	0.819968	-0.819968	-0.140606	-0.14016	1.787019	1.608592	2.026621	0.819968	0.819968	0.363015	0.019645	0.316008	0.672337	0.339196	0.296847	0.821338
7,647	train	H1	H26	150	150	0	0	0	0.84659	-0.84659	-0.484074	-0.482866	0.350594	4.759066	0.986865	-0.482866	0.84659	0.190314	0.233159	0.32382	0.717458	0.000222	0.005956	0.848005
7,647	train	H0	H26	200	200	0	0	0	1.5742	-1.5742	-1.703219	-1.706045	2.918644	3.153359	2.942673	-1.706045	1.703219	0.114986	2.910589	2.696836	2.479561	1.876813	1.836342	1.576171
7,647	train	H1	H26	200	200	0	0	0	1.373532	-1.373532	-2.00603	-2.030413	5.489908	9.09908	4.877129	-2.030413	2.00603	0.028002	4.122577	2.519378	1.887669	4.721811	4.570266	1.375253
7,647	train	H0	H26	300	300	0	0	0	0.371158	-0.371158	-0.178206	-0.177674	0.191576	0.756089	0.221971	0.371158	0.371158	0.71029	0.031568	0.100781	0.137683	0.005906	0.010327	0.371467
7,647	train	H1	H26	300	300	0	0	0	1.963179	-1.963179	-2.421279	-2.45521	7.078207	13.124062	6.197677	1.963179	2.421279	0.004376	6.028055	4.089898	3.85945	5.446974	5.30423	1.964817
7,647	train	H0	H26	500	500	0	0	0	1.621325	-1.621325	-0.833661	-0.832053	2.537785	4.47213	3.954254	1.621325	1.621325	0.104774	0.692312	1.556965	2.630449	0.027345	0.034713	1.622136
7,647	train	H1	H26	500	500	0	0	0	-0.861247	0.861247	0.167944	0.168891	5.060178	13.298886	2.162425	-0.861247	0.861247	0.004033	0.028524	0.76496	0.742542	0.431105	0.374725	-0.861678
7,647	train	H0	H26	1,000	1,000	0	0	0	0.051808	-0.051808	0.16796	0.167812	0.069725	0.42529	0.184673	0.167812	0.16796	0.911798	0.028161	0.006057	0.002683	0.124107	0.120756	0.051821
7,647	train	H1	H26	1,000	1,000	0	0	0	-0.766737	0.766737	-1.007936	-1.017054	18.696828	30.014156	12.670829	-0.766737	1.007936	0.000001	1.034399	0.127131	0.588316	7.187769	7.047192	-0.766928
7,647	train	H0	H26	20	20	10	15	10	0.329722	-0.295503	-0.418419	-0.424808	0.184787	3.761801	0.204705	-0.424808	0.418419	0.288361	0.180462	0.186527	0.087569	0.204552	0.373607	0.267891
7,647	train	H1	H26	20	20	10	5	5	-0.514181	0.454081	1.101365	1.112526	2.545977	2.633906	2.658823	1.112526	1.101365	0.264633	1.237713	0.564049	0.205123	2.768562	2.754447	-0.460287
7,647	train	H0	H26	30	30	10	23.333333	6.666667	-1.694175	1.699163	1.924861	1.947104	3.883265	4.902098	3.824221	-1.694175	1.924861	0.073519	3.791213	3.289655	2.910902	3.288171	3.214377	-1.789595
7,647	train	H1	H26	30	30	10	3.333333	10	-0.002963	0.014866	-0.144284	-0.141765	0.071303	0.661796	0.109108	-0.141765	0.144284	0.882151	0.020097	0.00555	0.00022	0.036804	0.067241	-0.007438
7,647	train	H0	H26	50	50	10	20	12	-1.228904	1.221874	0.78638	0.781422	2.461867	3.668953	2.005928	-1.228904	1.221874	0.204259	0.61062	1.348989	1.493172	0.000148	0.011847	-1.26951
7,647	train	H1	H26	50	50	10	10	6	-0.474526	0.50134	-0.062011	-0.061361	1.114363	1.210257	1.343706	-0.061361	0.50134	0.510761	0.003765	0.068685	0.254196	0.365308	0.342317	-0.514594
7,647	train	H0	H26	75	75	10	8	5.333333	0.856197	-0.896307	-0.131322	-0.130894	1.506096	8.765881	2.56785	0.856197	0.896307	0.032571	0.017133	0.278037	0.803445	0.461349	0.60018	0.900172
7,647	train	H1	H26	75	75	10	9.333333	8	0.023141	-0.08911	0.450392	0.447342	0.706154	0.541238	0.981714	0.023141	0.450392	0.612101	0.200115	0.037236	0.007942	0.703592	0.667274	0.08863
7,647	train	H0	H26	100	100	10	4	9	-0.496719	0.490016	0.315709	0.313761	0.190521	1.099206	0.311128	-0.496719	0.490016	0.618151	0.098446	0.160111	0.239809	0.004467	0.000733	-0.498472
7,647	train	H1	H26	100	100	10	13	9	-2.600664	2.605335	1.812724	1.844509	10.52879	19.208504	8.23117	-2.600664	2.605335	0.000248	3.402215	6.577446	6.871684	0.009857	0.056713	-2.641552
7,647	train	H0	H26	150	150	10	11.333333	10.666667	0.692472	-0.703237	-0.47111	-0.468793	0.673448	0.877167	0.577054	0.692472	0.703237	0.474312	0.219767	0.436713	0.493983	0.004695	0.01389	0.71548
7,647	train	H1	H26	150	150	10	14.666667	9.333333	-0.532563	0.598745	-0.442467	-0.447223	5.266435	6.080084	4.778914	-0.532563	0.598745	0.091679	0.200009	0.05413	0.358512	2.294123	2.161488	-0.612116
7,647	train	H0	H26	200	200	10	8	9.5	1.763992	-1.766023	-1.587003	-1.588661	2.86861	6.396796	3.12174	1.763992	1.766023	0.073616	2.523844	2.973891	3.125928	0.981168	0.901111	1.788991
7,647	train	H1	H26	200	200	10	8.5	12	1.188848	-1.222437	-1.704444	-1.726467	4.89844	19.234056	3.626265	1.188848	1.704444	0.000245	2.980687	1.595843	1.494662	3.66188	3.498718	1.246751
7,647	train	H0	H26	300	300	10	10.333333	10.333333	3.525002	-3.541682	-3.080275	-3.1174	11.679613	17.125524	12.520365	3.525002	3.541682	0.000323	9.718181	11.775883	12.625705	3.584727	3.505853	3.596395
7,647	train	H1	H26	300	300	10	10.666667	12	1.382664	-1.381877	-1.431486	-1.437348	2.070343	2.214181	2.113765	1.382664	1.431486	0.159745	2.065969	1.725709	1.910337	1.273087	1.343241	1.405929
7,647	train	H0	H26	500	500	10	10	10.2	-0.238472	0.223879	0.246263	0.245897	0.104726	1.259688	0.062501	-0.238472	0.246263	0.738727	0.060466	0.081501	0.050108	0.040237	0.058351	-0.227169
7,647	train	H1	H26	500	500	10	9	12	1.390939	-1.373649	-2.369112	-2.394181	10.953878	23.063209	8.477875	-2.394181	2.369112	0.000039	5.732103	2.561121	1.886795	8.455347	8.267074	1.399179
7,647	train	H0	H26	1,000	1,000	10	10.2	9.9	-0.51795	0.558083	-0.297246	-0.297134	3.29679	3.983601	2.909514	-0.51795	0.558083	0.233457	0.088289	0.075783	0.311406	1.232687	1.157993	-0.566267
7,647	train	H1	H26	1,000	1,000	10	9.7	11.4	2.059249	-2.096583	-2.409796	-2.425216	7.415231	22.654798	5.928608	2.059249	2.409796	0.000048	5.881673	3.671904	4.400061	4.996445	4.916424	2.130712
7,647	train	H0	H26	20	20	20	25	15	0.157828	-0.112186	-0.120791	-0.119543	0.119487	2.990536	0.027076	-0.119543	0.120791	0.393087	0.014291	0.037716	0.0125	0.000368	0.020546	0.08438
7,647	train	H1	H26	20	20	20	15	15	-0.009053	-0.014911	0.016691	0.016363	0.000376	0.006095	0.000467	0.016363	0.016691	0.992609	0.000268	0.000632	0.000222	0.014468	0.016851	0.009264
7,647	train	H0	H26	30	30	20	26.666667	26.666667	-0.81689	0.948586	0.389484	0.383706	1.476209	1.909137	1.627935	-0.81689	0.948586	0.330151	0.14723	0.528867	0.897462	0.088879	0.083645	-0.973809
7,647	train	H1	H26	30	30	20	23.333333	16.666667	-1.191787	1.203454	1.009428	0.99853	1.585618	2.125909	1.465842	-1.191787	1.203454	0.213701	0.997061	1.392807	1.447545	0.275775	0.362641	-1.243453
7,647	train	H0	H26	50	50	20	28	34	-0.506053	0.496193	0.454897	0.452867	0.239307	0.841232	0.259525	-0.506053	0.496193	0.607851	0.205089	0.241473	0.246518	0.07564	0.039443	-0.513144
7,647	train	H1	H26	50	50	20	14	22	1.700022	-1.680468	-1.762061	-1.776165	3.172582	3.210234	3.187372	-1.776165	1.762061	0.083834	3.154763	3.015091	2.819143	1.93995	1.984401	1.728859
7,647	train	H0	H26	75	75	20	21.333333	13.333333	0.375716	-0.390269	0.017477	0.017341	0.898381	0.964786	0.817474	0.017341	0.390269	0.664489	0.000301	0.068724	0.152302	0.235259	0.247556	0.395084
7,647	train	H1	H26	75	75	20	24	20	-0.813738	0.756001	0.879368	0.873411	0.764171	1.02025	0.765275	-0.813738	0.879368	0.433499	0.762847	0.697325	0.57087	0.558396	0.488643	-0.783219
7,647	train	H0	H26	100	100	20	26	24	-0.524567	0.522841	0.466048	0.464866	0.323631	0.405835	0.276491	-0.524567	0.522841	0.588858	0.2161	0.331271	0.273238	0.07473	0.081945	-0.540492
7,647	train	H1	H26	100	100	20	21	19	-0.134668	0.006796	0.622692	0.620742	0.675022	8.324889	1.401935	0.620742	0.622692	0.039753	0.38532	0.176611	0.000046	1.086443	1.355207	-0.011186
7,647	train	H0	H26	150	150	20	20	22	-1.394044	1.408032	1.143429	1.14715	2.111024	2.285821	2.02513	-1.394044	1.408032	0.144147	1.315952	1.914649	1.988397	0.250749	0.328657	-1.460521
7,647	train	H1	H26	150	150	20	21.333333	22.666667	0.400455	-0.501565	-0.34866	-0.347236	0.156256	5.651537	0.161703	0.400455	0.501565	0.129851	0.120573	0.101188	0.251369	0.029078	0.005923	0.520103
7,647	train	H0	H26	200	200	20	14	21.5	1.879626	-1.889372	-1.722974	-1.72022	3.409302	3.714948	3.54513	1.879626	1.889372	0.049933	2.959157	3.468173	3.572567	1.145327	1.141448	1.960541
7,647	train	H1	H26	200	200	20	19	22.5	-1.159067	1.0454	1.0149	1.021031	2.12401	10.290167	1.349342	1.021031	1.0454	0.016254	1.042503	1.57389	1.094635	0.278129	0.39546	-1.078287
7,647	train	H0	H26	300	300	20	20.666667	23.666667	1.015204	-0.782344	-2.043582	-2.065003	7.605722	9.034139	8.547205	-2.065003	2.043582	0.013932	4.264236	1.848632	0.612107	8.145001	8.214393	0.804344
7,647	train	H1	H26	300	300	20	16.333333	23.666667	-0.015222	-0.02205	-0.404373	-0.405562	1.898876	8.02905	0.925438	-0.015222	0.404373	0.045415	0.16448	0.000009	0.000486	0.65442	0.573207	0.022646
7,647	train	H0	H26	500	500	20	16.8	22	0.724408	-0.827724	0.215058	0.216438	5.167604	5.532025	4.678176	0.724408	0.827724	0.096416	0.046845	0.239543	0.684886	1.706812	1.648282	0.854235
7,647	train	H1	H26	500	500	20	17.8	21	0.775437	-0.906263	-0.621919	-0.623604	0.431147	11.159829	0.636005	-0.623604	0.906263	0.010892	0.388882	0.28027	0.822237	0.104755	0.074146	0.931066
7,647	train	H0	H26	1,000	1,000	20	21.6	20.6	0.472942	-0.462089	-0.325517	-0.325208	0.402123	1.051516	0.27651	-0.325208	0.462089	0.633569	0.10576	0.217057	0.213452	0.0021	0.004526	0.47671
7,647	train	H1	H26	1,000	1,000	20	18.5	19.2	-0.247535	0.212855	-0.329857	-0.330886	3.86955	14.027101	1.711269	-0.247535	0.329857	0.002868	0.109486	0.077076	0.045312	0.96239	0.92896	-0.218884

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