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
7,649	train	H0	H01	20	20	20	40	20	-0.829431	0.872706	0.842642	0.829175	0.707989	0.72034	0.705208	-0.829431	0.872706	0.361524	0.687531	0.764421	0.754768	0.635247	0.675008	-0.912464
7,649	train	H1	H01	20	20	20	20	5	-0.374186	0.385937	0.345888	0.336755	0.195107	1.132151	0.138059	-0.374186	0.385937	0.688285	0.113404	0.179899	0.14772	0.088415	0.181951	-0.401183
7,649	train	H0	H01	30	30	20	26.666667	20	-0.083064	0.078064	0.09701	0.096007	0.009217	0.040986	0.009595	0.096007	0.09701	0.935132	0.009217	0.009908	0.006059	0.049177	0.054324	-0.08139
7,649	train	H1	H01	30	30	20	20	30	1.657468	-1.697142	-1.212255	-1.205225	3.339529	4.217881	3.637045	1.657468	1.697142	0.081382	1.452567	2.245944	2.915933	0.071391	0.079727	1.742726
7,649	train	H0	H01	50	50	20	28	22	0.168431	-0.205789	0.10619	0.104991	0.718646	2.282071	0.516734	0.168431	0.205789	0.515964	0.011023	0.021046	0.042223	0.274806	0.182239	0.20177
7,649	train	H1	H01	50	50	20	14	10	-0.255399	0.254414	0.178266	0.176724	0.068522	0.097329	0.080613	-0.255399	0.254414	0.796696	0.031231	0.047465	0.064461	0.013046	0.01472	-0.257625
7,649	train	H0	H01	75	75	20	21.333333	14.666667	-0.188765	0.196357	0.1316	0.130702	0.019997	0.869285	0.046287	-0.188765	0.196357	0.832833	0.017083	0.016675	0.038481	0.008131	0.00272	-0.198957
7,649	train	H1	H01	75	75	20	17.333333	12	-0.593015	0.579435	0.815525	0.811831	0.803371	1.100625	0.775162	-0.593015	0.815525	0.55862	0.65907	0.464245	0.336169	0.790819	0.700056	-0.584893
7,649	train	H0	H01	100	100	20	21	18	0.094223	-0.126256	0.049886	0.050024	0.039885	2.670219	0.136736	0.050024	0.126256	0.445312	0.002502	0.000082	0.015926	0.067976	0.093698	0.125195
7,649	train	H1	H01	100	100	20	26	14	0.652178	-0.755407	0.02776	0.027671	2.695593	2.864947	2.887068	0.652178	0.755407	0.236092	0.000766	0.208872	0.571459	0.842681	0.792821	0.765149
7,649	train	H0	H01	150	150	20	19.333333	16.666667	-1.126738	1.104921	1.071397	1.071937	1.402543	2.722315	1.279952	-1.126738	1.104921	0.26391	1.149048	1.36468	1.221891	0.555388	0.663594	-1.117198
7,649	train	H1	H01	150	150	20	26	20.666667	0.47653	-0.520337	-0.107734	-0.107507	0.450541	5.359265	1.008585	0.47653	0.520337	0.147303	0.011558	0.051256	0.270888	0.192336	0.240648	0.527501
7,649	train	H0	H01	200	200	20	26.5	15.5	-1.883949	1.743962	2.727974	2.764662	11.560448	15.385304	10.6732	2.764662	2.727974	0.001515	7.643356	4.425789	3.040922	10.956586	10.699163	-1.774473
7,649	train	H1	H01	200	200	20	19.5	23.5	2.808899	-2.783342	-2.503752	-2.520063	7.796396	7.553901	7.957319	-2.520063	2.783342	0.004644	6.350718	7.416538	7.782012	2.255187	2.415673	2.83076
7,649	train	H0	H01	300	300	20	22.333333	21.666667	0.31924	-0.310254	-0.431156	-0.430033	0.261578	0.629648	0.221387	0.31924	0.431156	0.752258	0.184929	0.109475	0.09622	0.189391	0.169341	0.315664
7,649	train	H1	H01	300	300	20	24.666667	23.666667	1.047334	-1.180936	-0.274183	-0.274371	3.242329	8.019636	4.332871	1.047334	1.180936	0.045608	0.075279	0.572111	1.395601	0.715273	0.764631	1.201169
7,649	train	H0	H01	500	500	20	20	17.6	-0.087099	0.047655	0.347598	0.347484	0.397052	0.653	0.435442	0.347484	0.347598	0.80435	0.120745	0.02919	0.00227	0.374055	0.38277	-0.048762
7,649	train	H1	H01	500	500	20	19.6	20.4	2.820078	-2.910414	-1.83848	-1.839319	9.715566	11.962135	11.305702	2.820078	2.910414	0.003192	3.383095	6.049417	8.490731	0.02569	0.028075	2.948621
7,649	train	H0	H01	1,000	1,000	20	19.4	21.4	0.658687	-0.663943	-0.484977	-0.484751	0.504333	0.470301	0.524056	-0.484751	0.663943	0.50146	0.234984	0.356422	0.440767	0.014864	0.016176	0.672194
7,649	train	H1	H01	1,000	1,000	20	20.4	19.6	3.368872	-3.523158	-1.844183	-1.848392	15.219256	34.528976	21.109395	3.368872	3.523158	0	3.416553	7.018764	12.445369	0.223091	0.216412	3.567665
7,649	train	H0	H01	20	20	30	35	35	-0.194456	0.372296	-0.281109	-0.283781	3.379623	3.88119	3.281085	-0.283781	0.372296	0.193875	0.080531	0.009326	0.138704	1.453112	1.378151	-0.38924
7,649	train	H1	H01	20	20	30	25	35	0.738756	-0.820613	-0.42437	-0.41864	1.241086	1.789023	1.332229	0.738756	0.820613	0.400351	0.175259	0.427166	0.669799	0.099106	0.092958	0.840994
7,649	train	H0	H01	30	30	30	23.333333	30	-0.520973	0.644688	0.076978	0.076425	2.056135	4.259722	1.684299	0.076425	0.644688	0.23475	0.005841	0.249237	0.414243	0.424664	0.283609	-0.647099
7,649	train	H1	H01	30	30	30	20	30	2.347589	-2.458853	-1.569683	-1.588016	9.244875	9.790443	8.893948	2.347589	2.458853	0.011714	2.521796	4.836843	6.157044	0.055125	0.113697	2.502731
7,649	train	H0	H01	50	50	30	26	16	-0.965989	0.929938	0.884006	0.877101	0.934361	0.953225	0.93116	-0.965989	0.929938	0.345515	0.769306	0.871528	0.862729	0.369283	0.43688	-0.943324
7,649	train	H1	H01	50	50	30	28	26	2.832314	-2.966245	-2.099846	-2.184878	10.357822	12.805544	10.865451	2.832314	2.966245	0.002243	4.773692	7.236483	9.028241	0.468534	0.474791	3.056071
7,649	train	H0	H01	75	75	30	34.666667	26.666667	-1.730006	1.818051	1.331453	1.330616	4.315082	6.856566	3.883618	-1.730006	1.818051	0.066538	1.770538	3.035256	3.313686	0.077388	0.147319	-1.834782
7,649	train	H1	H01	75	75	30	20	30.666667	2.479592	-2.358574	-2.66316	-2.721409	7.526096	11.043399	7.440787	-2.721409	2.66316	0.011493	7.406065	6.22428	5.597538	5.611565	5.397521	2.389879
7,649	train	H0	H01	100	100	30	31	33	0.555611	-0.621477	-0.392936	-0.390944	0.441341	0.867259	0.469859	0.555611	0.621477	0.526888	0.152837	0.288977	0.385701	0.000028	0.003546	0.632763
7,649	train	H1	H01	100	100	30	41	23	-1.150508	0.863383	2.078312	2.072485	8.834569	9.36995	9.478688	-1.150508	2.078312	0.008744	4.295196	2.054311	0.746144	9.174921	9.211563	-0.900263
7,649	train	H0	H01	150	150	30	22.666667	29.333333	2.148907	-2.100714	-2.313766	-2.328894	5.436544	6.047245	5.424	2.148907	2.313766	0.032157	5.423748	4.856545	4.425375	3.767916	3.722957	2.142457
7,649	train	H1	H01	150	150	30	27.333333	28	1.190271	-1.215511	-0.807127	-0.808505	1.954428	2.870155	2.178639	1.190271	1.215511	0.216914	0.65368	1.085197	1.478407	0.000374	0.00001	1.234775
7,649	train	H0	H01	200	200	30	36.5	26	-2.54198	2.520895	2.402925	2.405169	6.388248	6.826778	6.476983	-2.54198	2.520895	0.009904	5.78484	6.299299	6.366495	2.532359	2.548101	-2.579174
7,649	train	H1	H01	200	200	30	34	28.5	1.82373	-1.870771	-1.438939	-1.460815	3.627036	5.751125	3.970879	-1.460815	1.870771	0.054768	2.13398	2.859175	3.510069	0.278029	0.265144	1.920712
7,649	train	H0	H01	300	300	30	30.666667	37	0.216795	-0.136408	-0.466029	-0.465709	0.605543	1.020571	0.677922	-0.465709	0.466029	0.71251	0.216884	0.089712	0.0186	0.517554	0.544489	0.140124
7,649	train	H1	H01	300	300	30	28.666667	33.666667	2.988355	-3.101774	-2.29186	-2.294909	9.907018	14.952329	11.145619	2.988355	3.101774	0.001516	5.266609	7.47803	9.653929	0.524158	0.51957	3.171511
7,649	train	H0	H01	500	500	30	31	30.4	-1.915317	2.015179	1.376833	1.378249	5.468363	5.67987	5.284822	-1.915317	2.015179	0.040097	1.899571	3.365537	4.06432	0.032312	0.035821	-2.052746
7,649	train	H1	H01	500	500	30	31.6	26.8	1.255428	-1.337755	-0.746502	-0.748452	1.952812	7.602443	2.995171	-0.748452	1.337755	0.054984	0.560181	0.924767	1.792096	0.030238	0.039733	1.370501
7,649	train	H0	H01	1,000	1,000	30	30.3	30.1	1.156407	-1.294125	-0.576028	-0.575868	3.222528	3.841634	3.418228	-0.575868	1.294125	0.181026	0.331624	1.04972	1.674948	0.190951	0.193482	1.321969
7,649	train	H1	H01	1,000	1,000	30	31.4	29	3.169255	-3.470696	-1.80613	-1.811169	17.749194	28.363455	20.556118	3.169255	3.470696	0.000003	3.280335	7.6109	12.071538	0.330791	0.344535	3.560319
7,649	train	H0	H01	20	20	40	55	30	-0.733526	0.545429	1.046931	1.026759	2.0352	2.106333	2.071523	1.026759	1.046931	0.354956	1.054235	0.534082	0.295958	2.41185	2.220613	-0.588618
7,649	train	H1	H01	20	20	40	30	35	1.103285	-1.162678	-0.782711	-0.775552	1.753923	3.482639	1.942789	1.103285	1.162678	0.237196	0.60148	1.0028	1.357946	0.00239	0.003413	1.182024
7,649	train	H0	H01	30	30	40	36.666667	43.333333	-0.321049	0.289648	0.222923	0.22239	0.189886	0.50253	0.206381	0.22239	0.289648	0.76846	0.049457	0.049548	0.083576	0.008289	0.000062	-0.29439
7,649	train	H1	H01	30	30	40	56.666667	36.666667	-0.182841	-0.044029	0.56514	0.560818	2.142594	2.118474	2.155132	0.560818	0.56514	0.340423	0.314517	0.042338	0.001935	1.833847	1.785215	0.038987
7,649	train	H0	H01	50	50	40	28	34	0.582645	-0.642855	-0.39789	-0.395174	0.531118	0.553208	0.539663	0.582645	0.642855	0.509791	0.156162	0.315789	0.41256	0.005825	0.00297	0.659163
7,649	train	H1	H01	50	50	40	40	44	2.1315	-2.461042	-1.35143	-1.359951	9.401856	10.991211	9.810392	2.1315	2.461042	0.007408	1.849468	4.294512	6.166394	0.05153	0.036208	2.561419
7,649	train	H0	H01	75	75	40	36	50.666667	2.168354	-2.321884	-1.762547	-1.768775	6.236148	6.942271	6.040521	2.168354	2.321884	0.017402	3.128565	4.873929	5.410733	0.394124	0.460828	2.378092
7,649	train	H1	H01	75	75	40	41.333333	45.333333	0.815976	-1.019827	-0.480884	-0.478869	1.35534	7.239836	1.731573	0.815976	1.019827	0.064634	0.229316	0.539267	1.038883	0.08744	0.155426	1.056806
7,649	train	H0	H01	100	100	40	46	40	-0.127117	-0.079379	0.493735	0.491669	1.708228	1.730605	1.701927	0.491669	0.493735	0.427003	0.241739	0.012439	0.006297	1.261242	1.216254	0.07992
7,649	train	H1	H01	100	100	40	36	45	1.375657	-1.233371	-1.490486	-1.493055	2.329739	5.297171	2.271975	-1.493055	1.490486	0.151286	2.229214	1.663036	1.520442	1.719603	1.546422	1.266332
7,649	train	H0	H01	150	150	40	46	41.333333	-0.436361	0.462417	0.324003	0.32476	0.357072	1.014608	0.31736	0.32476	0.462417	0.631578	0.105469	0.199297	0.213638	0.006653	0.010464	-0.479507
7,649	train	H1	H01	150	150	40	40	46.666667	2.135586	-2.000797	-2.296967	-2.314679	5.491838	7.34566	5.419087	-2.314679	2.296967	0.037114	5.35774	4.335377	4.024288	4.077726	4.002594	2.084507
7,649	train	H0	H01	200	200	40	38.5	38	0.174665	-0.287636	0.051386	0.051247	0.549667	0.761156	0.486584	0.174665	0.287636	0.768331	0.002626	0.040226	0.082679	0.217673	0.19734	0.294559
7,649	train	H1	H01	200	200	40	34.5	33.5	-0.058958	-0.040814	0.460644	0.460382	1.295132	3.192384	1.56988	0.460382	0.460644	0.362904	0.211951	0.04939	0.001666	1.099223	1.088116	0.039626
7,649	train	H0	H01	300	300	40	39	39	-0.010838	0.067971	-0.150591	-0.150342	0.21731	0.475739	0.268247	-0.010838	0.150591	0.874482	0.022603	0.003279	0.004617	0.139449	0.126513	-0.069346
7,649	train	H1	H01	300	300	40	43.666667	40.333333	1.292399	-1.694872	-0.388827	-0.388807	8.478159	18.965667	9.838517	1.292399	1.694872	0.000278	0.151171	1.143532	2.878946	1.691049	1.723729	1.755265
7,649	train	H0	H01	500	500	40	40.8	39.6	0.27819	-0.384454	-0.024855	-0.024836	0.666701	0.650457	0.691385	-0.024836	0.384454	0.693264	0.000617	0.058661	0.147778	0.220282	0.211079	0.394429
7,649	train	H1	H01	500	500	40	40.2	40	2.748361	-3.174	-1.508861	-1.510609	19.162059	21.579029	20.470065	2.748361	3.174	0.000036	2.281938	6.349422	10.103602	0.808819	0.787832	3.276911
7,649	train	H0	H01	1,000	1,000	40	37.9	43.8	1.909225	-1.781176	-2.180383	-2.1798	5.127445	5.587787	5.059447	-2.1798	2.180383	0.066898	4.751529	3.751136	3.173056	4.470778	4.480746	1.832357
7,649	train	H1	H01	1,000	1,000	40	40.4	41.5	4.845902	-5.305674	-3.396213	-3.413654	37.119456	52.385996	41.020744	4.845902	5.305674	0	11.653035	19.951422	28.267802	0.031631	0.031864	5.479316
7,649	train	H0	H01	20	20	50	50	45	-0.080651	0.09426	0.054187	0.05342	0.025454	1.049526	0.015735	0.05342	0.09426	0.789271	0.002854	0.010399	0.008824	0.050448	0.074106	-0.09164
7,649	train	H1	H01	20	20	50	55	50	0.06636	-0.083464	-0.052907	-0.052767	0.006466	0.105078	0.007645	-0.052767	0.083464	0.934504	0.002784	0.004222	0.006931	0.042617	0.045764	0.082179
7,649	train	H0	H01	30	30	50	46.666667	50	1.002009	-0.974957	-0.864052	-0.872761	1.259929	2.306106	1.297612	-0.872761	0.974957	0.308023	0.761711	0.801705	0.950145	0.055418	0.034755	1.019378
7,649	train	H1	H01	30	30	50	50	40	0.840955	-1.071416	-0.358387	-0.359431	3.448345	3.416947	3.457767	-0.359431	1.071416	0.177482	0.12919	0.638751	1.156378	0.469574	0.409987	1.12009
7,649	train	H0	H01	50	50	50	52	64	1.226168	-1.012934	-1.31817	-1.314841	1.86469	4.207639	1.835345	-1.314841	1.31817	0.239898	1.728808	1.214329	1.025877	1.441492	1.375196	1.05707
7,649	train	H1	H01	50	50	50	44	44	1.022111	-1.139431	-0.680235	-0.680283	2.229693	2.151157	2.227408	-0.680283	1.139431	0.235893	0.462785	0.953612	1.298577	0.041153	0.027792	1.185316
7,649	train	H0	H01	75	75	50	50.666667	48	-0.128936	0.076816	0.282056	0.280133	0.386396	1.022586	0.430074	-0.128936	0.282056	0.795787	0.078474	0.034064	0.005891	0.447529	0.396021	-0.079198
7,649	train	H1	H01	75	75	50	50.666667	49.333333	1.114299	-1.081399	-1.11446	-1.139622	1.300716	1.353102	1.301507	-1.139622	1.11446	0.258788	1.298739	1.234548	1.172239	0.710027	0.719507	1.129261
7,649	train	H0	H01	100	100	50	54	46	-0.658862	0.622808	0.675503	0.673697	0.464927	4.020608	0.454125	0.673697	0.675503	0.259247	0.453867	0.529714	0.387426	0.415621	0.482732	-0.650621
7,649	train	H1	H01	100	100	50	47	40	0.971985	-1.358015	-0.169013	-0.169021	7.547557	8.576469	7.905063	-0.169021	1.358015	0.019206	0.028568	0.819843	1.852976	1.714381	1.625571	1.393091
7,649	train	H0	H01	150	150	50	48.666667	51.333333	1.114993	-0.984075	-1.172853	-1.175045	1.38106	2.109885	1.386706	-1.175045	1.172853	0.303707	1.38073	1.229395	0.968613	0.896145	0.996632	1.028516
7,649	train	H1	H01	150	150	50	48.666667	50.666667	1.871924	-2.018068	-1.453364	-1.467164	6.014475	6.544417	6.135851	-1.467164	2.018068	0.037162	2.15257	3.313727	4.081819	0.053188	0.062798	2.083982
7,649	train	H0	H01	200	200	50	45	49.5	0.503086	-0.537581	-0.344628	-0.344585	0.669415	3.334162	0.533833	-0.344585	0.537581	0.342916	0.118739	0.29957	0.28882	0.009759	0.004022	0.554791
7,649	train	H1	H01	200	200	50	49.5	50.5	2.021254	-2.18636	-1.695796	-1.709402	4.968914	6.077548	5.141029	-1.709402	2.18636	0.021949	2.922056	4.013633	4.799097	0.360554	0.369076	2.291255
7,649	train	H0	H01	300	300	50	54	43	-1.598093	1.182276	2.065476	2.062017	6.057588	8.80711	6.392269	-1.598093	2.065476	0.031968	4.251912	2.641815	1.39724	6.625642	6.841889	-1.22894
7,649	train	H1	H01	300	300	50	48.333333	48	2.352783	-2.640505	-1.754739	-1.767749	8.625318	9.587052	9.065344	2.352783	2.640505	0.0056	3.124935	5.245129	6.994987	0.03256	0.048292	2.770303
7,649	train	H0	H01	500	500	50	50.6	53.2	0.7105	-0.779126	-0.493133	-0.492722	1.376903	6.551484	1.131019	-0.492722	0.779126	0.087654	0.242775	0.636574	0.606871	0.01188	0.00361	0.811032
7,649	train	H1	H01	500	500	50	50	48.8	2.273507	-2.422838	-1.809763	-1.819017	6.733225	12.476772	7.353191	-1.819017	2.422838	0.005916	3.308824	4.515085	5.888154	0.210164	0.186568	2.521707
7,649	train	H0	H01	1,000	1,000	50	49.7	49.8	0.865892	-0.821903	-0.767741	-0.768235	0.877767	1.595588	0.82309	-0.768235	0.821903	0.395726	0.590186	0.73361	0.675483	0.124149	0.119433	0.84928
7,649	train	H1	H01	1,000	1,000	50	52	48.5	3.133847	-3.717213	-2.040657	-2.056958	23.253789	37.62322	25.246597	-2.056958	3.717213	0	4.231077	8.854642	13.874228	0.451873	0.452429	3.900055
7,649	train	H0	H02	20	20	0	0	0	0.13525	-0.13525	0.579099	0.581658	2.799543	2.962984	2.62589	0.581658	0.579099	0.269027	0.338326	0.01887	0.018182	1.680635	1.526609	0.136973
7,649	train	H1	H02	20	20	0	0	0	0.486902	-0.486902	0.059352	0.057829	1.14825	1.073966	1.305622	0.057829	0.486902	0.52058	0.003344	0.06346	0.235636	0.515221	0.467095	0.493104
7,649	train	H0	H02	30	30	0	0	0	-0.576593	0.576593	0.791982	0.781799	0.68822	0.726382	0.669698	-0.576593	0.791982	0.560932	0.611209	0.439521	0.330706	0.808529	0.786671	-0.581458
7,649	train	H1	H02	30	30	0	0	0	0.103491	-0.103491	0.569941	0.571037	2.600421	3.687572	2.201566	0.103491	0.569941	0.297237	0.326083	0.018912	0.010644	1.572426	1.393613	0.104364
7,649	train	H0	H02	50	50	0	0	0	-0.530824	0.530824	0.360183	0.355612	0.366732	0.540724	0.329981	-0.530824	0.530824	0.593689	0.12646	0.235395	0.280832	0.020713	0.04376	-0.533498
7,649	train	H1	H02	50	50	0	0	0	1.296038	-1.296038	-0.785635	-0.777425	1.695865	3.751409	2.214141	1.296038	1.296038	0.192723	0.604389	1.149991	1.681526	0.000156	0.001142	1.302567
7,649	train	H0	H02	75	75	0	0	0	0.941561	-0.941561	-0.814418	-0.809739	0.907503	1.122579	0.886337	0.941561	0.941561	0.348041	0.655677	0.841541	0.885712	0.172143	0.226322	0.938396
7,649	train	H1	H02	75	75	0	0	0	-0.712279	0.712279	0.738874	0.738007	0.842526	5.150883	0.563327	-0.712279	0.738874	0.161076	0.544654	0.753942	0.507289	0.347015	0.505169	-0.709885
7,649	train	H0	H02	100	100	0	0	0	-0.434923	0.434923	0.376999	0.374059	0.249838	0.827353	0.188887	0.374059	0.434923	0.662826	0.13992	0.201669	0.188829	0.067665	0.101465	-0.436015
7,649	train	H1	H02	100	100	0	0	0	1.536892	-1.536892	-1.186637	-1.187211	2.840559	4.233594	2.469122	-1.187211	1.536892	0.123378	1.409471	2.196818	2.364365	0.250885	0.348718	1.540748
7,649	train	H0	H02	150	150	0	0	0	1.379037	-1.379037	-0.716524	-0.713322	1.827096	4.828665	2.86608	1.379037	1.379037	0.167174	0.508828	1.135112	1.904013	0.021824	0.036093	1.381341
7,649	train	H1	H02	150	150	0	0	0	0.800001	-0.800001	-0.437356	-0.436814	0.257539	5.937192	0.925448	-0.436814	0.800001	0.114706	0.190807	0.248581	0.640641	0.003361	0.015722	0.801338
7,649	train	H0	H02	200	200	0	0	0	-2.071543	2.071543	1.727899	1.728463	4.423314	4.823481	4.322789	-2.071543	2.071543	0.038067	2.987584	4.138811	4.300731	0.782373	0.781325	-2.074137
7,649	train	H1	H02	200	200	0	0	0	1.513654	-1.513654	-0.92639	-0.925303	2.434866	1.958221	2.928785	1.513654	1.513654	0.129633	0.856186	1.582336	2.29355	0.006723	0.016759	1.515549
7,649	train	H0	H02	300	300	0	0	0	-1.152567	1.152567	0.261802	0.262812	5.22756	8.006975	3.646593	-1.152567	1.152567	0.045868	0.06907	0.910679	1.328378	0.548775	0.476081	-1.153528
7,649	train	H1	H02	300	300	0	0	0	0.605251	-0.605251	0.023503	0.023569	0.128369	16.159177	1.631906	0.605251	0.605251	0.001052	0.000556	0.011235	0.36691	0.402008	0.492567	0.605756
7,649	train	H0	H02	500	500	0	0	0	0.362192	-0.362192	-0.086116	-0.085963	0.39454	0.553935	0.341214	-0.085963	0.362192	0.717073	0.00739	0.085123	0.131136	0.054445	0.061132	0.362373
7,649	train	H1	H02	500	500	0	0	0	3.449147	-3.449147	-3.367403	-3.412339	11.644953	32.069422	12.565541	3.449147	3.449147	0.000001	11.644056	10.607144	11.936715	6.239808	6.096969	3.450873
7,649	train	H0	H02	1,000	1,000	0	0	0	0.682249	-0.682249	-1.216908	-1.216696	1.856491	1.97865	2.040584	-1.216696	1.216908	0.36049	1.48035	0.870888	0.465411	2.008925	1.997657	0.68242
7,649	train	H1	H02	1,000	1,000	0	0	0	5.674206	-5.674206	-4.112286	-4.149542	23.857361	70.314488	35.182761	5.674206	5.674206	0	17.218698	22.755856	32.38529	2.686758	2.602744	5.675625

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