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	H24	20	20	30	20	30	1.201319	-1.17726	-0.99511	-0.98559	1.598464	1.626143	1.575618	-0.98559	1.17726	0.21746	0.971387	1.29836	1.387814	0.093822	0.160508	1.23331
7,648	train	H1	H24	20	20	30	40	40	0.274764	-0.138304	-0.644812	-0.662087	2.377267	3.238261	2.48402	-0.662087	0.644812	0.288803	0.438359	0.150015	0.019144	1.400925	1.474287	0.172232
7,648	train	H0	H24	30	30	30	30	40	1.937122	-1.974511	-1.727503	-1.752618	3.838446	5.066753	3.949333	1.937122	1.974511	0.038657	3.07167	3.614279	3.978939	0.98673	0.958958	2.067815
7,648	train	H1	H24	30	30	30	26.666667	30	2.168131	-2.164642	-2.098086	-2.19865	5.043642	6.201569	4.982811	-2.19865	2.164642	0.022719	4.834062	5.081012	4.812415	2.646612	2.818139	2.27813
7,648	train	H0	H24	50	50	30	36	36	0.038453	0.083749	-0.411	-0.412379	1.646082	2.841796	1.470322	-0.412379	0.411	0.416666	0.170056	0.007556	0.006992	0.855226	0.716403	-0.077321
7,648	train	H1	H24	50	50	30	30	18	-0.546725	0.569582	0.263911	0.262075	0.66154	0.579692	0.727991	0.262075	0.569582	0.556126	0.068683	0.187443	0.324147	0.029989	0.016924	-0.588606
7,648	train	H0	H24	75	75	30	33.333333	29.333333	-0.927854	0.774938	1.334468	1.349112	2.85117	2.829419	2.889984	1.349112	1.334468	0.235748	1.820102	1.069523	0.601488	3.142738	3.109199	-0.784537
7,648	train	H1	H24	75	75	30	40	37.333333	0.589525	-0.622598	-0.544836	-0.546625	0.407987	3.067223	0.351023	0.589525	0.622598	0.381376	0.298799	0.43728	0.388334	0.087901	0.105648	0.63852
7,648	train	H0	H24	100	100	30	24	24	-1.251619	1.305496	0.794026	0.792725	2.321198	2.419914	2.430365	-1.251619	1.305496	0.178349	0.628412	1.244451	1.707792	0.000424	0.000005	-1.345856
7,648	train	H1	H24	100	100	30	28	27	0.837358	-0.846706	-0.739387	-0.741081	0.770584	0.891029	0.713135	-0.741081	0.846706	0.382791	0.549201	0.761619	0.718055	0.180727	0.16625	0.872766
7,648	train	H0	H24	150	150	30	26.666667	28.666667	0.804217	-0.766205	-0.820145	-0.820167	0.74648	2.073771	0.685898	0.804217	0.820145	0.431315	0.672674	0.789001	0.587383	0.378168	0.401327	0.786944
7,648	train	H1	H24	150	150	30	30	22.666667	0.152926	-0.064501	-0.511828	-0.514136	0.646154	2.411767	0.970475	-0.514136	0.511828	0.491448	0.264336	0.118167	0.004166	0.743554	0.853076	0.059993
7,648	train	H0	H24	200	200	30	38	33.5	-0.945036	0.929097	0.990999	0.988262	0.986158	3.007193	0.978374	-0.945036	0.990999	0.335501	0.976661	0.814439	0.862895	0.711672	0.634377	-0.963093
7,648	train	H1	H24	200	200	30	30.5	34.5	0.859153	-0.750027	-1.25782	-1.258931	2.608636	3.07227	2.526337	-1.258931	1.25782	0.282757	1.584907	0.922631	0.562345	2.469616	2.314411	0.777664
7,648	train	H0	H24	300	300	30	31	28.333333	-1.290277	1.258273	1.333748	1.332004	1.782455	2.025188	1.794426	-1.290277	1.333748	0.194765	1.774234	1.671936	1.583649	1.160443	1.148322	-1.296612
7,648	train	H1	H24	300	300	30	29.333333	33	0.657832	-0.457932	-1.313158	-1.316191	3.567588	12.155766	4.496793	-1.316191	1.313158	0.006868	1.732358	0.90349	0.209848	3.947347	4.103523	0.470286
7,648	train	H0	H24	500	500	30	31	29.8	-0.838812	0.85107	0.725578	0.725256	0.777603	0.904711	0.732906	-0.838812	0.85107	0.382612	0.525996	0.714295	0.724347	0.156049	0.153488	-0.873093
7,648	train	H1	H24	500	500	30	29.8	33.8	-0.319912	0.617653	-0.513594	-0.513626	3.743035	16.841486	5.350236	-0.513626	0.617653	0.000762	0.263812	0.000246	0.381672	2.746491	2.865167	-0.632435
7,648	train	H0	H24	1,000	1,000	30	29.9	30.4	-1.242515	1.229217	1.113511	1.1138	1.637959	1.940791	1.558351	1.1138	1.229217	0.204931	1.24055	1.549533	1.51153	0.422333	0.424884	-1.267627
7,648	train	H1	H24	1,000	1,000	30	28.3	28.5	0.003104	0.178771	-0.808897	-0.809418	3.332024	9.934944	4.81941	0.003104	0.808897	0.019127	0.655158	0.160716	0.031988	3.186696	3.237859	-0.183781
7,648	train	H0	H24	20	20	40	35	45	0.550483	-0.613516	-0.444233	-0.439301	0.46388	2.628121	0.398079	-0.439301	0.613516	0.452581	0.192985	0.348574	0.374094	0.000047	0.006387	0.635731
7,648	train	H1	H24	20	20	40	45	30	-0.846536	0.771281	0.934707	0.943794	0.925956	1.611282	0.940468	0.943794	0.934707	0.417954	0.890747	0.758676	0.592979	1.187406	1.238836	-0.809975
7,648	train	H0	H24	30	30	40	43.333333	33.333333	-0.613422	0.611917	0.593068	0.584961	0.351386	1.827215	0.374543	0.584961	0.611917	0.527412	0.34218	0.30615	0.37239	0.289328	0.234905	-0.631962
7,648	train	H1	H24	30	30	40	26.666667	43.333333	-0.203529	0.385833	-0.415659	-0.40965	3.320734	3.366805	3.47992	-0.40965	0.415659	0.175527	0.167813	0.005213	0.148766	1.724308	1.549471	-0.391816
7,648	train	H0	H24	50	50	40	32	46	2.321786	-2.337985	-2.096942	-2.120521	5.789297	7.941513	5.569682	-2.120521	2.337985	0.015153	4.496607	5.622939	5.497534	1.596483	1.859705	2.428711
7,648	train	H1	H24	50	50	40	40	44	-0.387384	0.633804	0.031983	0.031593	1.008066	3.741737	1.295886	0.031593	0.633804	0.290736	0.000998	0.130494	0.401018	0.319497	0.452514	-0.654991
7,648	train	H0	H24	75	75	40	34.666667	34.666667	-1.309449	1.253965	1.400551	1.426654	2.059538	2.219651	2.054057	1.426654	1.400551	0.196766	2.035342	1.80589	1.578727	1.869138	1.833652	-1.290822
7,648	train	H1	H24	75	75	40	36	42.666667	-0.611769	0.733201	0.309286	0.30815	0.997432	4.241597	1.222642	-0.611769	0.733201	0.23653	0.094956	0.242179	0.539486	0.062816	0.115869	-0.754303
7,648	train	H0	H24	100	100	40	36	41	0.770668	-0.516139	-1.348278	-1.362028	4.844025	4.789265	4.799484	-1.362028	1.348278	0.090741	1.855119	0.739858	0.266326	3.978024	3.864297	0.53014
7,648	train	H1	H24	100	100	40	47	32	-2.033714	2.114009	1.567583	1.566966	5.39173	5.342532	5.342463	-2.033714	2.114009	0.028463	2.455382	3.930445	4.4727	0.071904	0.110811	-2.190851
7,648	train	H0	H24	150	150	40	42	37.333333	-0.809702	0.806172	0.704336	0.702623	0.673965	0.985992	0.696228	0.702623	0.806172	0.396998	0.493679	0.612158	0.649502	0.144341	0.136093	-0.846995
7,648	train	H1	H24	150	150	40	41.333333	34.666667	-0.49575	0.582009	0.291744	0.292924	0.493331	0.982794	0.558115	-0.49575	0.582009	0.541854	0.085805	0.224075	0.338675	0.00518	0.006739	-0.610011
7,648	train	H0	H24	200	200	40	50	38.5	-1.605062	1.383548	1.887307	1.88477	3.981041	3.98259	3.999082	-1.605062	1.887307	0.135397	3.552358	2.664419	1.913422	3.976985	3.987152	-1.450244
7,648	train	H1	H24	200	200	40	43.5	39.5	-0.515605	0.880913	-0.218451	-0.218918	4.45881	6.603611	5.244592	-0.218918	0.880913	0.072636	0.047925	0.14474	0.776363	2.140599	2.112951	-0.919332
7,648	train	H0	H24	300	300	40	39.333333	38.666667	-0.575284	0.569514	0.546351	0.54658	0.32628	0.421303	0.331241	-0.575284	0.569514	0.552443	0.29875	0.32991	0.325089	0.157992	0.149462	-0.594104
7,648	train	H1	H24	300	300	40	43	39.333333	-0.218146	0.327322	-0.053262	-0.053266	0.662763	1.467445	0.780773	-0.053266	0.327322	0.676795	0.002837	0.019329	0.107134	0.229689	0.237731	-0.341139
7,648	train	H0	H24	500	500	40	39.8	37.6	-1.033342	1.049189	0.882405	0.881285	1.195588	1.407985	1.149723	0.881285	1.049189	0.274191	0.776664	1.06308	1.100605	0.182211	0.214165	-1.093463
7,648	train	H1	H24	500	500	40	44	41.6	-0.981445	1.126251	0.681299	0.680294	1.363371	5.376567	1.682632	-0.981445	1.126251	0.146211	0.462799	0.795213	1.268109	0.00032	0.005401	-1.172845
7,648	train	H0	H24	1,000	1,000	40	40.5	37.6	-0.665723	0.495252	1.07133	1.071072	2.449139	2.483548	2.409675	1.071072	1.07133	0.299741	1.147196	0.518458	0.245256	2.337655	2.333509	-0.513262
7,648	train	H1	H24	1,000	1,000	40	40	39.6	-0.147835	0.466255	-0.473203	-0.473769	2.390518	23.174671	3.847842	-0.147835	0.473203	0.000037	0.224457	0.018923	0.217513	2.13436	2.212653	-0.485619
7,648	train	H0	H24	20	20	50	60	50	-0.353489	0.384508	0.269215	0.265878	0.222759	2.12215	0.254067	0.265878	0.384508	0.547445	0.070691	0.088657	0.161119	0.033495	0.014365	-0.420663
7,648	train	H1	H24	20	20	50	40	50	-0.249245	0.485238	-0.272093	-0.275547	3.682499	4.081805	3.529232	-0.275547	0.485238	0.171253	0.075926	0.062696	0.235048	1.792716	1.44254	-0.462891
7,648	train	H0	H24	30	30	50	50	50	0.210618	-0.202889	-0.150707	-0.148885	0.114706	1.981325	0.077117	-0.148885	0.202889	0.576292	0.022167	0.06015	0.037045	0.026761	0.00367	0.192615
7,648	train	H1	H24	30	30	50	56.666667	43.333333	-1.123722	1.095604	1.294681	1.285659	1.84524	2.667689	1.804682	1.285659	1.294681	0.231831	1.65292	1.287513	1.195994	2.007567	1.834256	-1.195654
7,648	train	H0	H24	50	50	50	50	50	0.578392	-0.722957	-0.315636	-0.314853	1.319467	3.919376	1.439459	0.578392	0.722957	0.270303	0.099132	0.26258	0.510309	0.174827	0.17857	0.755896
7,648	train	H1	H24	50	50	50	36	50	0.828357	-0.934331	-0.66356	-0.662251	1.040625	2.664798	0.946784	0.828357	0.934331	0.335065	0.438576	0.770652	0.864295	0.018677	0.030454	0.963963
7,648	train	H0	H24	75	75	50	56	46.666667	-1.661842	1.563041	1.69751	1.712347	2.93927	4.499615	2.932391	-1.661842	1.69751	0.098146	2.932132	2.867689	2.451024	2.245083	2.404958	-1.653909
7,648	train	H1	H24	75	75	50	49.333333	50.666667	-0.148841	0.121699	0.108153	0.108214	0.029573	1.633276	0.046062	0.108214	0.121699	0.651868	0.01171	0.004994	0.014799	0.005179	0.003162	-0.126102
7,648	train	H0	H24	100	100	50	50	57	1.078614	-1.094809	-1.0062	-1.004518	1.203246	1.204719	1.200215	-1.004518	1.094809	0.247675	1.009056	1.177826	1.197366	0.278592	0.298754	1.156016
7,648	train	H1	H24	100	100	50	54	55	-0.187074	0.43089	-0.059253	-0.059023	1.187409	1.332937	1.208396	-0.059023	0.43089	0.546513	0.003484	0.047421	0.185441	0.368372	0.430669	-0.452409
7,648	train	H0	H24	150	150	50	51.333333	48	-0.498698	0.375322	0.634794	0.633605	0.509698	1.664463	0.557895	-0.498698	0.634794	0.644863	0.401455	0.284492	0.141456	0.679523	0.714375	-0.402641
7,648	train	H1	H24	150	150	50	52.666667	52	-0.257571	0.501737	-0.039984	-0.03999	1.053709	4.064632	1.299088	-0.03999	0.501737	0.254569	0.001599	0.059977	0.252792	0.369979	0.404093	-0.530113
7,648	train	H0	H24	200	200	50	56	52	-1.233805	1.230492	1.094489	1.093488	1.828061	4.887298	1.70202	-1.233805	1.230492	0.180238	1.195716	1.65766	1.514115	0.23739	0.280844	-1.308196
7,648	train	H1	H24	200	200	50	49.5	48.5	-0.093233	0.301857	-0.187195	-0.187202	0.99175	1.488595	1.071618	-0.187202	0.301857	0.585196	0.035045	0.009855	0.091065	0.448364	0.493887	-0.315649
7,648	train	H0	H24	300	300	50	50.666667	48	-0.04242	0.141177	-0.162906	-0.163412	0.639286	1.092471	0.546728	-0.163412	0.162906	0.760816	0.026703	0.007257	0.019927	0.265134	0.246836	-0.148894
7,648	train	H1	H24	300	300	50	50	48.333333	-0.637621	1.093628	-0.048965	-0.049007	5.926268	17.729272	6.949114	-0.049007	1.093628	0.0005	0.002402	0.282348	1.197094	2.29762	2.410395	-1.13864
7,648	train	H0	H24	500	500	50	51.4	46.6	-1.724307	1.511187	1.941769	1.943092	3.990293	5.05632	4.057501	-1.724307	1.941769	0.110458	3.775608	3.121246	2.284459	3.801207	3.825255	-1.596138
7,648	train	H1	H24	500	500	50	48	52	0.940525	-0.43859	-1.459201	-1.459902	4.134772	7.609474	4.707636	-1.459902	1.459201	0.054811	2.131315	1.007173	0.192506	4.368396	4.374048	0.465643
7,648	train	H0	H24	1,000	1,000	50	47.7	51.5	1.659332	-1.405027	-1.961989	-1.962736	4.509217	4.650302	4.5616	-1.962736	1.961989	0.102202	3.852332	2.828268	1.973524	4.320863	4.288287	1.48613
7,648	train	H1	H24	1,000	1,000	50	50.1	51.3	0.804054	-0.410917	-1.283314	-1.284249	3.919256	10.641436	4.455055	-1.284249	1.283314	0.013832	1.649296	0.812512	0.168908	3.906266	3.993892	0.432805
7,648	train	H0	H25	20	20	0	0	0	0.649202	-0.649202	-0.523521	-0.518423	0.704775	2.871503	0.434267	-0.518423	0.649202	0.411864	0.268762	0.482677	0.419749	0.04156	0.123079	0.657473
7,648	train	H1	H25	20	20	0	0	0	1.352504	-1.352504	-0.949156	-0.935535	1.84669	3.635926	2.154315	1.352504	1.352504	0.17077	0.875225	1.424445	1.849112	0.072874	0.056725	1.369735
7,648	train	H0	H25	30	30	0	0	0	0.295689	-0.295689	0.225332	0.224397	0.634054	5.109228	1.180854	0.224397	0.295689	0.163971	0.050354	0.000408	0.087189	0.535398	0.740697	0.298184
7,648	train	H1	H25	30	30	0	0	0	0.029569	-0.029569	0.158876	0.156995	0.349183	2.601865	0.154426	0.029569	0.158876	0.457163	0.024648	0.000274	0.000869	0.133005	0.072894	0.029818
7,648	train	H0	H25	50	50	0	0	0	0.489461	-0.489461	0.987704	1.018388	12.080418	12.06908	11.700998	0.489461	0.987704	0.002878	1.037113	0.015499	0.23999	5.933906	5.675824	0.491927
7,648	train	H1	H25	50	50	0	0	0	1.592472	-1.592472	-1.580461	-1.624782	3.335872	12.014186	2.747127	-1.624782	1.592472	0.007335	2.639916	3.186317	2.548555	1.679889	2.177408	1.600495
7,648	train	H0	H25	75	75	0	0	0	0.016914	-0.016914	0.416361	0.414425	0.485623	2.576157	0.784343	0.414425	0.416361	0.461685	0.171748	0.04153	0.000285	0.601551	0.727243	0.016857
7,648	train	H1	H25	75	75	0	0	0	0.381511	-0.381511	-0.946116	-0.943127	1.536357	1.682209	1.731491	-0.943127	0.946116	0.420738	0.889489	0.411137	0.1453	1.53185	1.534613	0.380228
7,648	train	H0	H25	100	100	0	0	0	1.116629	-1.116629	-1.494005	-1.499617	2.439051	2.451207	2.418977	1.116629	1.494005	0.262956	2.248851	1.655818	1.246689	2.154928	2.118812	1.119431
7,648	train	H1	H25	100	100	0	0	0	0.207688	-0.207688	-0.014511	-0.014521	0.656215	6.358479	0.16436	-0.014521	0.207688	0.095414	0.000211	0.066019	0.043073	0.043907	0.015945	0.208209
7,648	train	H0	H25	150	150	0	0	0	0.399335	-0.399335	-0.607864	-0.605835	0.421136	1.049356	0.435237	-0.605835	0.607864	0.689155	0.367036	0.23076	0.159296	0.393767	0.449989	0.400002
7,648	train	H1	H25	150	150	0	0	0	0.90649	-0.90649	-0.504532	-0.507551	2.644842	10.409946	1.174992	-0.507551	0.90649	0.015384	0.257608	0.92946	0.823564	0.000528	0.010878	0.908005
7,648	train	H0	H25	200	200	0	0	0	0.930681	-0.930681	-1.063537	-1.06273	1.193652	2.121734	1.129496	0.930681	1.063537	0.351416	1.129395	0.854316	0.865876	0.802939	0.747287	0.931846
7,648	train	H1	H25	200	200	0	0	0	0.593352	-0.593352	-0.224624	-0.224134	0.514257	2.811163	0.701761	0.593352	0.593352	0.421666	0.050236	0.212478	0.351937	0.044954	0.066963	0.594095
7,648	train	H0	H25	300	300	0	0	0	-0.459708	0.459708	0.853154	0.852258	0.972041	1.646289	1.049909	-0.459708	0.853154	0.591582	0.726344	0.400705	0.211207	1.096289	1.173336	-0.460091
7,648	train	H1	H25	300	300	0	0	0	0.377752	-0.377752	-0.087418	-0.087637	1.330303	3.542737	0.385772	0.377752	0.377752	0.315261	0.00768	0.204203	0.142712	0.047022	0.032598	0.378067
7,648	train	H0	H25	500	500	0	0	0	-0.056497	0.056497	-0.314341	-0.314366	0.54466	0.550357	0.541791	-0.056497	0.314341	0.762696	0.098826	0.005851	0.003191	0.3551	0.323938	-0.056525
7,648	train	H1	H25	500	500	0	0	0	0.094818	-0.094818	-0.609775	-0.609296	0.664524	2.838202	1.134718	-0.609296	0.609775	0.41725	0.371242	0.146879	0.00899	0.915946	0.990191	0.094866
7,648	train	H0	H25	1,000	1,000	0	0	0	0.892809	-0.892809	-1.113893	-1.113888	1.306295	2.049846	1.262441	0.892809	1.113893	0.37184	1.240747	0.979194	0.797115	1.067685	1.031916	0.893033
7,648	train	H1	H25	1,000	1,000	0	0	0	-1.299603	1.299603	0.528667	0.528826	1.075197	7.428941	3.139419	-1.299603	1.299603	0.059413	0.279657	0.675974	1.689767	0.166678	0.18678	-1.299928
7,648	train	H0	H25	20	20	10	5	5	0.759596	-0.75987	-0.637312	-0.622959	0.464096	1.903716	0.589346	0.759596	0.75987	0.439091	0.388079	0.450413	0.57619	0.052476	0.02286	0.773729
7,648	train	H1	H25	20	20	10	5	5	-0.264525	0.290218	0.472693	0.468924	0.634929	5.545845	0.354734	0.468924	0.472693	0.135922	0.219889	0.077519	0.083904	0.396913	0.254948	-0.298135
7,648	train	H0	H25	30	30	10	6.666667	3.333333	-0.236239	0.229379	0.552319	0.544342	0.70959	0.987207	0.620996	-0.236239	0.552319	0.733082	0.296308	0.115219	0.052299	0.725325	0.633865	-0.234682
7,648	train	H1	H25	30	30	10	0	16.666667	1.355881	-1.295047	-2.233902	-2.333063	9.326701	9.282872	9.566794	-2.333063	2.233902	0.008368	5.443183	3.206673	1.68263	8.893367	8.858268	1.32792
7,648	train	H0	H25	50	50	10	14	8	-0.099037	0.096676	0.060642	0.059883	0.008219	0.073541	0.013914	-0.099037	0.096676	0.919912	0.003586	0.005185	0.009309	0.003146	0.001362	-0.100544
7,648	train	H1	H25	50	50	10	12	6	-1.548283	1.533933	1.761066	1.783426	3.180609	3.426711	3.196087	1.783426	1.761066	0.119432	3.180609	2.940029	2.363076	2.489618	2.597881	-1.557161
7,648	train	H0	H25	75	75	10	8	10.666667	1.189363	-1.177251	-1.411037	-1.410828	2.06268	2.273517	2.016375	1.189363	1.411037	0.234934	1.990436	1.58674	1.386181	1.554791	1.507852	1.187744
7,648	train	H1	H25	75	75	10	16	9.333333	0.207589	-0.196747	-0.407703	-0.408375	0.300334	0.287641	0.313202	-0.408375	0.407703	0.844705	0.16677	0.085048	0.03864	0.262013	0.236328	0.195878
7,648	train	H0	H25	100	100	10	5	9	0.676664	-0.701724	0.056431	0.056664	2.717709	2.762012	2.561148	0.676664	0.701724	0.277878	0.003211	0.195536	0.491919	0.747288	0.702523	0.71429
7,648	train	H1	H25	100	100	10	7	10	0.136766	-0.108303	-0.870124	-0.869848	2.966066	2.990949	2.862999	-0.869848	0.870124	0.23895	0.756635	0.153565	0.011709	2.152283	2.034801	0.111443
7,648	train	H0	H25	150	150	10	11.333333	14	0.615684	-0.573229	-1.217567	-1.220552	3.306996	6.091518	2.714181	-1.220552	1.217567	0.107242	1.489747	0.57812	0.328304	2.495599	2.331493	0.585365
7,648	train	H1	H25	150	150	10	8.666667	8.666667	-0.465646	0.494153	-0.1575	-0.156951	1.444859	1.464889	1.805315	-0.156951	0.494153	0.405491	0.024634	0.040778	0.244211	0.648369	0.618475	-0.496296
7,648	train	H0	H25	200	200	10	8.5	11.5	-0.739725	0.766669	0.188347	0.188028	1.08713	4.455428	1.678623	-0.739725	0.766669	0.216301	0.035354	0.236216	0.587796	0.239821	0.292248	-0.77217
7,648	train	H1	H25	200	200	10	14.5	7.5	0.386188	-0.371791	-0.29136	-0.293781	1.299041	25.433358	0.163827	-0.293781	0.371791	0.000013	0.086307	0.400269	0.138567	0.03818	0.090542	0.369423
7,648	train	H0	H25	300	300	10	12	7.333333	-0.215396	0.197573	0.416193	0.415789	0.308679	0.423374	0.288436	0.415789	0.416193	0.841594	0.172881	0.068853	0.039019	0.296777	0.297662	-0.199855
7,648	train	H1	H25	300	300	10	9.666667	11.666667	0.463752	-0.460604	-0.260211	-0.260028	0.78631	4.168973	0.329318	-0.260028	0.460604	0.243787	0.067615	0.257995	0.212034	0.002241	0.000022	0.465947
7,648	train	H0	H25	500	500	10	7.4	9.6	0.991954	-0.977091	-1.357263	-1.357141	2.010379	2.265659	2.070587	-1.357141	1.357263	0.325437	1.841832	1.387056	0.95462	1.943028	1.995203	0.983347
7,648	train	H1	H25	500	500	10	11	9	0.664437	-0.666994	-0.377677	-0.377383	1.350729	5.536289	0.661409	-0.377383	0.666994	0.136484	0.142418	0.485873	0.444826	0.002076	0.000003	0.673192
7,648	train	H0	H25	1,000	1,000	10	11.2	10.9	0.066697	-0.091024	0.313738	0.313585	0.680982	0.652834	0.693195	0.066697	0.313738	0.70709	0.098336	0.004298	0.008284	0.454466	0.4582	0.09172
7,648	train	H1	H25	1,000	1,000	10	10.2	7	0.672657	-0.682209	-0.271696	-0.271889	2.355352	8.60001	0.953687	-0.271889	0.682209	0.03511	0.073924	0.556706	0.465612	0.04453	0.03391	0.68564

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