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	H16	20	20	20	25	45	1.39787	-1.29302	-1.68224	-1.691369	3.521485	4.887493	3.409023	-1.691369	1.68224	0.168277	2.860731	2.119618	1.684621	2.911437	2.810175	1.37776
7,647	train	H1	H16	20	20	20	5	35	2.263811	-2.255926	-2.301922	-2.347462	5.675373	5.784418	5.625302	-2.347462	2.301922	0.019918	5.510576	5.781262	5.214444	3.356559	3.631445	2.327896
7,647	train	H0	H16	30	30	20	13.333333	20	1.176427	-1.04409	-2.057735	-2.199875	11.827314	12.914802	12.199864	-2.199875	2.057735	0.002243	4.83945	2.575849	1.101528	10.51375	10.545952	0.942705
7,647	train	H1	H16	30	30	20	20	20	-1.542453	1.553597	1.476252	1.494074	2.392345	2.619528	2.420404	-1.542453	1.553597	0.107808	2.232256	2.431099	2.424466	1.245809	1.252418	-1.608126
7,647	train	H0	H16	50	50	20	28	22	-0.843329	0.731242	1.187061	1.192518	1.781547	2.419662	1.91982	-0.843329	1.187061	0.382927	1.422099	0.950831	0.540499	1.970756	1.968274	-0.749647
7,647	train	H1	H16	50	50	20	18	28	0.133117	-0.102144	-0.328954	-0.327623	0.29326	0.423432	0.322722	-0.327623	0.328954	0.850985	0.107337	0.044179	0.010414	0.198562	0.208829	0.106526
7,647	train	H0	H16	75	75	20	13.333333	21.333333	0.270144	-0.126597	-1.268842	-1.281534	6.944411	7.001735	6.764309	-1.281534	1.268842	0.033974	1.642329	0.339928	0.016023	5.123211	4.95898	0.137547
7,647	train	H1	H16	75	75	20	13.333333	17.333333	-0.974964	0.956193	0.902075	0.905252	1.031612	1.416581	0.95322	0.905252	0.956193	0.334928	0.819482	0.980448	0.914783	0.366237	0.404031	-0.964234
7,647	train	H0	H16	100	100	20	26	17	-2.480299	2.427336	2.437367	2.466407	6.214378	7.869134	6.377616	-2.480299	2.437367	0.013571	6.083165	5.893965	5.925563	3.171715	3.17025	-2.468426
7,647	train	H1	H16	100	100	20	31	25	-0.775583	0.735516	0.803687	0.799897	0.652491	0.86899	0.646355	0.799897	0.803687	0.451963	0.639835	0.625746	0.54016	0.497759	0.598628	-0.752146
7,647	train	H0	H16	150	150	20	18	16.666667	-1.000139	0.963556	1.146464	1.153427	1.366258	1.426323	1.348624	1.153427	1.146464	0.330125	1.330393	1.070478	0.927759	1.189597	1.190353	-0.973862
7,647	train	H1	H16	150	150	20	22.666667	18.666667	-1.816775	1.888973	1.020769	1.018115	5.314095	6.117754	6.013069	-1.816775	1.888973	0.049463	1.036557	2.365868	3.581707	0.12529	0.101772	-1.909286
7,647	train	H0	H16	200	200	20	19.5	15.5	-1.725858	1.694917	1.722664	1.727674	3.112985	3.088449	3.124342	-1.725858	1.722664	0.085787	2.984858	3.030559	2.873307	1.675848	1.714228	-1.718054
7,647	train	H1	H16	200	200	20	17.5	19	0.439247	-0.398478	-0.609381	-0.608474	0.38191	2.129215	0.45187	-0.608474	0.609381	0.546025	0.370241	0.3055	0.158645	0.404978	0.401151	0.403843
7,647	train	H0	H16	300	300	20	19.333333	18	-0.27845	0.235399	0.512512	0.511563	0.351089	1.655487	0.464734	0.511563	0.512512	0.646875	0.261697	0.154812	0.055386	0.491672	0.531457	-0.238803
7,647	train	H1	H16	300	300	20	19	24.333333	0.383997	-0.287492	-1.066841	-1.06538	3.442578	3.315312	3.440706	-1.06538	1.066841	0.179003	1.135034	0.361333	0.082625	2.79022	2.71661	0.293886
7,647	train	H0	H16	500	500	20	19.6	20.2	0.85017	-0.90245	-0.417291	-0.417079	1.226549	2.484756	1.516715	0.85017	0.90245	0.36069	0.173955	0.483674	0.814215	0.065976	0.073956	0.914051
7,647	train	H1	H16	500	500	20	17.8	20.8	0.296191	-0.249572	-0.632758	-0.632045	0.660648	1.061186	0.868504	-0.632045	0.632758	0.647749	0.399481	0.225505	0.062274	0.772984	0.774031	0.253749
7,647	train	H0	H16	1,000	1,000	20	19.5	18.8	0.109169	-0.067563	-0.347398	-0.34745	0.279025	0.297175	0.375791	-0.34745	0.347398	0.828701	0.120721	0.051295	0.004565	0.299224	0.291032	0.068321
7,647	train	H1	H16	1,000	1,000	20	19.2	20.8	0.508427	-0.346528	-1.728429	-1.732687	11.083573	12.477788	10.164802	-1.732687	1.728429	0.005913	3.002205	0.692585	0.12008	8.234088	8.065579	0.352249
7,647	train	H0	H16	20	20	30	20	35	0.160584	-0.268966	0.134058	0.134198	0.307136	6.203083	0.651135	0.160584	0.268966	0.102137	0.018009	0.000001	0.072377	0.27501	0.581672	0.230183
7,647	train	H1	H16	20	20	30	35	10	-2.360074	2.320365	2.588751	2.761719	8.216633	8.476919	8.250356	-2.360074	2.588751	0.016161	7.627094	6.599933	5.51113	8.296565	8.445786	-2.387489
7,647	train	H0	H16	30	30	30	30	40	-0.196077	0.368726	-0.361035	-0.356867	3.300912	4.205434	3.069085	-0.356867	0.368726	0.215554	0.127354	0.01442	0.135289	1.511151	1.322261	-0.370647
7,647	train	H1	H16	30	30	30	30	33.333333	1.419667	-1.498151	-1.244205	-1.279402	2.251805	3.561604	2.149351	-1.279402	1.498151	0.121077	1.63687	2.142513	2.272042	0.425875	0.478653	1.55027
7,647	train	H0	H16	50	50	30	36	36	0.837489	-1.050396	-0.408349	-0.403096	1.63378	4.869973	2.060801	0.837489	1.050396	0.18157	0.162487	0.552108	1.102087	0.206171	0.277478	1.080622
7,647	train	H1	H16	50	50	30	32	14	-2.158793	2.075335	2.247664	2.27504	5.262261	6.947745	5.203249	-2.158793	2.247664	0.0313	5.175806	5.150378	4.345174	3.099612	3.52256	-2.153234
7,647	train	H0	H16	75	75	30	41.333333	37.333333	-0.868031	0.986978	0.480993	0.479556	2.318933	2.322444	2.29358	0.479556	0.986978	0.314753	0.229974	0.664138	0.974588	0.149846	0.086228	-1.005299
7,647	train	H1	H16	75	75	30	24	30.666667	1.698529	-1.627762	-1.795535	-1.816136	3.323468	5.640852	3.298801	-1.816136	1.795535	0.097642	3.298351	2.77429	2.653961	2.253005	2.102373	1.656392
7,647	train	H0	H16	100	100	30	24	22	0.013263	-0.092315	0.29221	0.290811	0.452536	2.756079	0.621828	0.290811	0.29221	0.430781	0.084571	0.01075	0.008508	0.419119	0.534113	0.09231
7,647	train	H1	H16	100	100	30	31	31	0.054598	0.015848	-0.388931	-0.38812	1.048104	1.097124	1.008335	0.054598	0.388931	0.604008	0.150637	0.018032	0.000251	0.595273	0.539965	-0.013526
7,647	train	H0	H16	150	150	30	27.333333	32	1.012362	-1.199796	-0.410544	-0.410033	2.816602	3.634774	3.182567	1.012362	1.199796	0.203664	0.168127	0.786917	1.440201	0.328253	0.314872	1.226615
7,647	train	H1	H16	150	150	30	28.666667	31.333333	-0.013356	0.131678	-0.29304	-0.292307	0.870089	1.039679	0.756687	-0.292307	0.29304	0.684995	0.085443	0.000309	0.017332	0.435517	0.480325	-0.130796
7,647	train	H0	H16	200	200	30	30	30.5	0.747537	-0.741657	-0.761574	-0.761175	0.582629	1.141028	0.589571	0.747537	0.761574	0.446844	0.579387	0.562743	0.550185	0.305629	0.258701	0.760686
7,647	train	H1	H16	200	200	30	27	32.5	0.943342	-1.012762	-0.484065	-0.485581	2.262064	2.405941	2.160058	-0.485581	1.012762	0.297042	0.235789	0.694315	1.02513	0.110396	0.101609	1.042798
7,647	train	H0	H16	300	300	30	30.333333	29.666667	-1.451802	1.616818	0.742438	0.741809	4.606013	4.978142	4.81555	-1.451802	1.616818	0.090015	0.55028	1.727363	2.61597	0.260611	0.243947	-1.660602
7,647	train	H1	H16	300	300	30	34.333333	27	-2.189996	2.231042	1.66323	1.662964	5.950395	5.59629	6.060449	-2.189996	2.231042	0.02296	2.765449	4.137979	4.980935	0.153661	0.187071	-2.274096
7,647	train	H0	H16	500	500	30	27	27.2	0.231399	-0.296379	0.208211	0.208538	1.376258	1.237538	1.398334	0.208538	0.296379	0.496999	0.043488	0.009464	0.087823	0.658449	0.648963	0.302958
7,647	train	H1	H16	500	500	30	29.4	28.4	-1.657934	1.736971	1.194646	1.195036	3.43777	4.200556	3.707027	-1.657934	1.736971	0.07619	1.42811	2.343355	3.01845	0.041556	0.044401	-1.773231
7,647	train	H0	H16	1,000	1,000	30	28.9	28.7	0.210612	-0.20161	-0.289995	-0.289856	0.117692	0.137546	0.109748	0.210612	0.289995	0.836653	0.084017	0.048369	0.04064	0.097511	0.110792	0.206176
7,647	train	H1	H16	1,000	1,000	30	30.5	29.7	-0.819404	1.077466	-0.218149	-0.218322	7.03422	9.740891	8.137006	-0.819404	1.077466	0.017103	0.047665	0.273243	1.161289	2.939204	3.00781	-1.103638
7,647	train	H0	H16	20	20	40	30	20	0.382789	-0.491615	-0.093401	-0.09223	0.500411	1.709758	0.62951	0.382789	0.491615	0.597787	0.008506	0.103168	0.241623	0.207191	0.234086	0.527586
7,647	train	H1	H16	20	20	40	50	45	-0.575358	0.710242	0.358637	0.350124	0.922756	0.901053	0.911028	0.350124	0.710242	0.46287	0.122587	0.340505	0.5	0.001503	0.006885	-0.73413
7,647	train	H0	H16	30	30	40	33.333333	46.666667	0.098283	-0.108245	-0.03351	-0.034306	0.109489	2.923844	0.069822	0.098283	0.108245	0.403517	0.001177	0.013996	0.011668	0.05756	0.036458	0.119945
7,647	train	H1	H16	30	30	40	33.333333	53.333333	1.851087	-1.720435	-2.072277	-2.099899	4.954082	6.43108	5.02228	-2.099899	2.072277	0.072761	4.409577	3.730017	2.976696	4.147329	4.286935	1.79433
7,647	train	H0	H16	50	50	40	36	32	1.66472	-1.741124	-1.413733	-1.438537	2.91655	4.154142	3.080149	-1.438537	1.741124	0.072963	2.06939	2.666617	3.058575	0.359105	0.353538	1.793061
7,647	train	H1	H16	50	50	40	38	34	-0.550864	0.622956	0.342178	0.339971	0.698305	0.713388	0.684239	0.339971	0.622956	0.526625	0.11558	0.28058	0.387491	0.000746	0.000437	-0.633167
7,647	train	H0	H16	75	75	40	33.333333	45.333333	1.006637	-0.723842	-1.680596	-1.693498	7.216692	7.547514	7.357372	-1.693498	1.680596	0.025256	2.867934	1.426844	0.524063	6.265766	6.291316	0.725793
7,647	train	H1	H16	75	75	40	45.333333	38.666667	-1.049817	1.295783	0.506478	0.507213	4.189921	5.802855	4.49712	0.507213	1.295783	0.105551	0.257265	0.950736	1.680795	0.482589	0.491066	-1.322749
7,647	train	H0	H16	100	100	40	49	48	0.119432	-0.192241	-0.054551	-0.054382	0.034113	2.281659	0.068183	-0.054382	0.192241	0.516044	0.002957	0.008555	0.036909	0.02237	0.037542	0.196432
7,647	train	H1	H16	100	100	40	32	43	0.977153	-0.812041	-1.264994	-1.255575	1.917256	2.273845	2.000812	-1.255575	1.264994	0.36773	1.57647	1.060063	0.658401	1.820923	1.841967	0.838231
7,647	train	H0	H16	150	150	40	33.333333	33.333333	-0.598986	0.585728	0.511848	0.511005	0.449908	1.39636	0.381698	-0.598986	0.585728	0.548132	0.261127	0.383429	0.342893	0.077176	0.101648	-0.600562
7,647	train	H1	H16	150	150	40	40	38	-1.174303	1.045909	1.39795	1.408837	2.300281	2.548818	2.333516	-1.174303	1.39795	0.282056	1.984821	1.508529	1.094254	2.449216	2.529298	-1.075713
7,647	train	H0	H16	200	200	40	37.5	37.5	-0.453607	0.535944	0.289622	0.288884	0.279619	1.203359	0.376105	-0.453607	0.535944	0.579345	0.083454	0.164664	0.287129	0.000108	0.000213	-0.554341
7,647	train	H1	H16	200	200	40	46.5	39	-2.176471	2.126135	2.090773	2.094874	4.777645	4.839676	4.752076	-2.176471	2.126135	0.027513	4.388499	4.737	4.529572	2.046787	2.081207	-2.204155
7,647	train	H0	H16	300	300	40	41.333333	42.666667	0.853346	-0.841565	-0.925278	-0.926234	0.903416	3.423044	0.868675	0.853346	0.925278	0.330881	0.85791	0.693391	0.708164	0.632242	0.588015	0.866001
7,647	train	H1	H16	300	300	40	41.666667	42	-0.727567	0.890445	0.254657	0.254297	2.522248	2.362222	2.563845	0.254297	0.890445	0.277503	0.064667	0.419191	0.793176	0.433931	0.400632	-0.919026
7,647	train	H0	H16	500	500	40	40	37.6	-0.836106	0.847104	0.664018	0.663339	1.064777	3.118443	0.871101	-0.836106	0.847104	0.373722	0.440018	0.778674	0.71738	0.043997	0.048588	-0.870499
7,647	train	H1	H16	500	500	40	40.6	42.6	0.485603	-0.150094	-1.226274	-1.228671	6.300325	6.9195	6.708623	-1.228671	1.226274	0.034933	1.509632	0.385522	0.022533	5.037667	5.020843	0.153766
7,647	train	H0	H16	1,000	1,000	40	40.6	39.5	-0.681655	0.489036	1.12723	1.127447	2.963102	3.196494	2.846656	1.127447	1.12723	0.240911	1.271136	0.517945	0.23917	2.717645	2.711117	-0.504966
7,647	train	H1	H16	1,000	1,000	40	41	40.2	-0.569235	0.702579	0.113008	0.112939	2.226612	2.097902	2.243551	0.112939	0.702579	0.325701	0.012755	0.244163	0.493585	0.508828	0.492181	-0.723314
7,647	train	H0	H16	20	20	50	30	50	0.834536	-0.731596	-1.067641	-1.043548	1.425533	1.456794	1.413539	-1.043548	1.067641	0.429418	1.088992	0.743944	0.531265	1.054955	0.948966	0.790187
7,647	train	H1	H16	20	20	50	35	65	2.079303	-1.988438	-2.035948	-2.047563	4.365562	4.578267	4.352056	-2.047563	2.035948	0.035833	4.192516	4.210806	3.97223	2.003929	2.076025	2.098815
7,647	train	H0	H16	30	30	50	56.666667	53.333333	-0.688193	0.472503	0.87315	0.869619	1.038307	1.383021	1.070214	-0.688193	0.87315	0.585607	0.756238	0.442207	0.223116	1.512494	1.656916	-0.521626
7,647	train	H1	H16	30	30	50	50	50	0.782094	-1.13447	-0.293637	-0.292603	3.28027	3.286976	3.26315	0.782094	1.13447	0.195621	0.085616	0.698067	1.293194	0.592602	0.518944	1.192045
7,647	train	H0	H16	50	50	50	46	42	-0.132995	0.038878	0.164724	0.163783	0.059931	3.444487	0.037466	0.163783	0.164724	0.328034	0.026825	0.000119	0.001508	0.063172	0.030426	-0.039492
7,647	train	H1	H16	50	50	50	54	40	-0.210927	-0.069486	0.743645	0.736172	3.195907	3.086389	3.209323	0.736172	0.743645	0.200958	0.541949	0.064519	0.004815	2.559544	2.438966	0.063673
7,647	train	H0	H16	75	75	50	52	50.666667	-0.946244	0.938923	0.912165	0.917951	0.888073	1.156174	0.898522	0.917951	0.938923	0.331887	0.842634	0.84413	0.881555	0.53563	0.521638	-0.97032
7,647	train	H1	H16	75	75	50	50.666667	56	0.59921	-0.22331	-1.003045	-1.007406	4.234225	4.264929	4.211905	-1.007406	1.003045	0.12173	1.014866	0.2864	0.04989	3.19107	3.176385	0.247557
7,647	train	H0	H16	100	100	50	52	60	0.993331	-1.050796	-0.877022	-0.874713	1.164648	1.220808	1.176433	-0.874713	1.050796	0.268495	0.765122	0.963639	1.102826	0.088463	0.085985	1.106536
7,647	train	H1	H16	100	100	50	46	46	-0.496256	0.621059	0.184675	0.184107	1.676134	4.30571	1.376677	0.184107	0.621059	0.230289	0.033895	0.339511	0.38531	0.305231	0.220158	-0.635886
7,647	train	H0	H16	150	150	50	50.666667	59.333333	1.178848	-1.078271	-1.234832	-1.232691	1.538379	1.829479	1.533448	-1.232691	1.234832	0.262747	1.519528	1.308545	1.161792	1.048098	1.038734	1.119921
7,647	train	H1	H16	150	150	50	50.666667	54.666667	-0.098962	0.396124	-0.337759	-0.336802	3.091507	3.169012	3.035355	-0.336802	0.396124	0.21922	0.113436	0.022307	0.156794	1.471644	1.398471	-0.409293
7,647	train	H0	H16	200	200	50	55.5	51	-0.643073	0.460706	0.798083	0.797954	0.86474	1.716021	0.920384	0.797954	0.798083	0.628472	0.636731	0.439774	0.212135	1.034466	1.054165	-0.483878
7,647	train	H1	H16	200	200	50	51	49.5	-0.459942	0.491182	0.453925	0.453348	0.207733	0.846734	0.212477	0.453348	0.491182	0.610803	0.205524	0.216319	0.241147	0.151291	0.135012	-0.508927
7,647	train	H0	H16	300	300	50	45.666667	50.333333	0.46666	-0.482629	-0.383472	-0.383321	0.314919	0.738771	0.287008	-0.383321	0.482629	0.618275	0.146935	0.227018	0.232857	0.004043	0.007425	0.498297
7,647	train	H1	H16	300	300	50	50.333333	50.666667	-0.358357	0.455091	0.183265	0.183126	0.505492	1.37525	0.566361	0.183126	0.455091	0.63527	0.033535	0.103092	0.20704	0.036464	0.039154	-0.474323
7,647	train	H0	H16	500	500	50	46.6	47	0.12808	-0.348059	0.095701	0.095602	0.461772	2.624798	0.597981	0.12808	0.348059	0.453159	0.00914	0.020327	0.121111	0.25218	0.30395	0.361561
7,647	train	H1	H16	500	500	50	51.2	49.4	-1.25514	1.532558	0.81319	0.812746	3.692962	8.107726	4.094514	-1.25514	1.532558	0.043837	0.660556	1.438519	2.349802	0.125307	0.125172	-1.593497
7,647	train	H0	H16	1,000	1,000	50	52.4	51.2	-0.64066	0.534572	0.755675	0.755556	0.734205	1.207954	0.704261	-0.64066	0.755675	0.576886	0.570864	0.356454	0.285748	0.737409	0.734815	-0.55794
7,647	train	H1	H16	1,000	1,000	50	53.3	52.9	-1.49908	1.895723	0.921682	0.921759	7.146676	10.220961	7.539656	0.921759	1.895723	0.016778	0.84964	2.242753	3.594543	0.486801	0.528413	-1.970833
7,647	train	H0	H17	20	20	0	0	0	-0.568052	0.568052	0.366562	0.35856	0.541683	1.238498	0.412227	-0.568052	0.568052	0.565096	0.128565	0.281784	0.32032	0.007425	0.043249	-0.575288
7,647	train	H1	H17	20	20	0	0	0	0.02705	-0.02705	0.12692	0.124805	0.015722	2.872853	0.102087	0.02705	0.12692	0.411647	0.015576	0.015395	0.000729	0.080307	0.18405	0.027395
7,647	train	H0	H17	30	30	0	0	0	0.665299	-0.665299	-0.865944	-0.862452	0.747207	0.844362	0.785001	-0.862452	0.865944	0.502276	0.743823	0.662667	0.441995	0.649299	0.682853	0.670914
7,647	train	H1	H17	30	30	0	0	0	-1.241892	1.241892	0.990106	0.986099	1.758444	2.377807	1.599829	-1.241892	1.241892	0.210434	0.972392	1.431203	1.542464	0.207171	0.354932	-1.252372
7,647	train	H0	H17	50	50	0	0	0	-0.32401	0.32401	0.737049	0.73747	1.162726	1.351077	1.020189	0.73747	0.737049	0.600439	0.543862	0.199546	0.104843	0.984079	0.948603	-0.325642
7,647	train	H1	H17	50	50	0	0	0	-0.537718	0.537718	0.316685	0.31362	0.321659	0.318273	0.393765	-0.537718	0.537718	0.588903	0.098357	0.182094	0.288584	0.00088	0.007226	-0.540427
7,647	train	H0	H17	75	75	0	0	0	0.629587	-0.629587	-0.705503	-0.702724	0.508658	1.158024	0.494694	0.629587	0.705503	0.530351	0.493821	0.488803	0.395755	0.3131	0.39046	0.627471
7,647	train	H1	H17	75	75	0	0	0	0.588241	-0.588241	-0.974645	-0.971589	1.077608	1.264612	1.231426	-0.971589	0.974645	0.540256	0.943985	0.647194	0.345738	1.168157	1.188735	0.586264
7,647	train	H0	H17	100	100	0	0	0	0.762337	-0.762337	0.011116	0.01109	2.789602	2.887925	2.522238	0.762337	0.762337	0.283337	0.000123	0.262376	0.580903	0.653007	0.571781	0.76425
7,647	train	H1	H17	100	100	0	0	0	-0.202801	0.202801	-0.59272	-0.591063	2.069468	2.356844	2.530751	-0.202801	0.59272	0.282133	0.349355	0.021309	0.041086	1.490454	1.485872	-0.20331
7,647	train	H0	H17	150	150	0	0	0	-0.276872	0.276872	1.034426	1.037838	3.0114	3.327431	2.793552	-0.276872	1.034426	0.247393	1.077108	0.32658	0.076601	2.547122	2.435433	-0.277335
7,647	train	H1	H17	150	150	0	0	0	0.829286	-0.829286	-1.349137	-1.35539	2.729661	3.784658	2.393872	-1.35539	1.349137	0.285676	1.837081	1.000283	0.687128	2.270025	2.162032	0.830671
7,647	train	H0	H17	200	200	0	0	0	0.023354	-0.023354	0.545469	0.546315	1.940688	3.270342	1.354233	0.546315	0.545469	0.351792	0.29846	0.016163	0.000545	1.030472	0.945813	0.023383
7,647	train	H1	H17	200	200	0	0	0	-2.696898	2.696898	2.047964	2.053311	7.139958	6.576342	7.675209	-2.696898	2.696898	0.006928	4.216086	6.154884	7.304762	0.605072	0.701592	-2.700276
7,647	train	H0	H17	300	300	0	0	0	-1.604267	1.604267	0.485458	0.486079	6.70907	6.932601	5.993268	-1.604267	1.604267	0.049955	0.236273	1.646087	2.576431	0.69413	0.63036	-1.605606
7,647	train	H1	H17	300	300	0	0	0	-0.452643	0.452643	-1.732211	-1.77024	24.207031	25.528838	22.125613	-1.77024	1.732211	0.000012	3.13375	0.136163	0.205006	14.326906	14.107448	-0.45302
7,647	train	H0	H17	500	500	0	0	0	1.232198	-1.232198	-0.820388	-0.819143	1.946641	2.01765	1.769418	1.232198	1.232198	0.217645	0.670994	1.297095	1.518376	0.032479	0.042157	1.232815
7,647	train	H1	H17	500	500	0	0	0	-2.395417	2.395417	1.000277	0.999457	8.512145	7.890245	10.455035	-2.395417	2.395417	0.005367	0.998913	3.382074	5.748496	0.532076	0.495559	-2.396616
7,647	train	H0	H17	1,000	1,000	0	0	0	0.189729	-0.189729	-0.111869	-0.111796	0.228682	1.654331	0.047171	-0.111796	0.189729	0.647134	0.012498	0.061107	0.035991	0.000059	0.000345	0.189776
7,647	train	H1	H17	1,000	1,000	0	0	0	-2.58821	2.58821	-0.600208	-0.603678	30.817986	44.699558	40.519701	-2.58821	2.58821	0	0.364427	1.618863	6.71252	14.840985	15.135772	-2.588857

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