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	H23	20	20	40	45	40	-0.29	0.34785	0.151375	0.150149	0.291987	2.596538	0.195821	0.150149	0.34785	0.458097	0.022545	0.100606	0.120357	0.041771	0.004903	-0.383994
7,648	train	H1	H23	20	20	40	20	25	-1.990899	1.99762	1.997294	2.14481	4.601247	4.716801	4.602156	-1.990899	1.99762	0.033209	4.600208	4.502351	4.123636	3.212582	3.319869	-2.129547
7,648	train	H0	H23	30	30	40	53.333333	43.333333	-0.1677	0.091869	0.160802	0.159811	0.03124	0.439053	0.028137	0.159811	0.160802	0.892333	0.02554	0.018681	0.015039	0.079556	0.063555	-0.135353
7,648	train	H1	H23	30	30	40	40	43.333333	0.679974	-0.738909	-0.861068	-0.859524	1.018376	4.543124	0.881651	-0.859524	0.861068	0.208476	0.738782	0.529081	0.516426	0.835788	0.657445	0.804699
7,648	train	H0	H23	50	50	40	32	36	-0.471679	0.485728	0.313771	0.309899	0.255997	0.44972	0.331175	-0.471679	0.485728	0.590134	0.096037	0.155156	0.252333	0.005703	0.004535	-0.538642
7,648	train	H1	H23	50	50	40	46	40	-0.40078	0.461307	0.25658	0.256854	0.257477	1.652387	0.339528	0.256854	0.461307	0.607877	0.065974	0.116498	0.225279	0.000013	0.002075	-0.513106
7,648	train	H0	H23	75	75	40	44	28	-1.555128	1.624298	1.183755	1.169963	3.008893	3.183552	2.883887	-1.555128	1.624298	0.07855	1.368814	2.326887	2.672656	0.071594	0.157174	-1.75916
7,648	train	H1	H23	75	75	40	48	38.666667	-0.987384	1.045701	0.752005	0.749236	1.350201	1.425481	1.315544	-0.987384	1.045701	0.253734	0.561355	0.988346	1.129351	0.027695	0.027558	-1.141326
7,648	train	H0	H23	100	100	40	39	44	0.288964	-0.227049	-0.617695	-0.619452	1.23544	2.354282	1.069778	0.288964	0.617695	0.502202	0.383721	0.105713	0.045334	0.91441	0.789688	0.239014
7,648	train	H1	H23	100	100	40	41	43	-2.378341	2.310028	2.261542	2.33235	5.7818	5.924461	5.804368	-2.378341	2.310028	0.011293	5.439856	5.699208	5.423683	2.483312	2.49961	-2.533511
7,648	train	H0	H23	150	150	40	40.666667	46	0.576155	-0.512251	-0.698514	-0.695675	0.528323	0.540013	0.535133	-0.695675	0.698514	0.57746	0.483964	0.357489	0.253588	0.445067	0.451805	0.557098
7,648	train	H1	H23	150	150	40	40	42.666667	-0.314594	0.518689	-0.316579	-0.315857	3.591481	3.75101	3.4778	-0.315857	0.518689	0.175714	0.099766	0.057924	0.274502	1.6533	1.678883	-0.562119
7,648	train	H0	H23	200	200	40	37	42.5	1.513266	-1.539013	-1.34315	-1.342586	2.301574	2.224337	2.341668	-1.342586	1.539013	0.096306	1.802536	2.160663	2.346129	0.517115	0.550093	1.663033
7,648	train	H1	H23	200	200	40	42	42.5	1.070174	-1.028983	-1.083866	-1.085835	1.210898	1.343857	1.200927	1.070174	1.083866	0.264284	1.179039	1.167919	1.040576	0.630561	0.660968	1.116324
7,648	train	H0	H23	300	300	40	37	38	0.201879	-0.326443	0.201984	0.201654	0.990909	2.331901	1.124238	0.201879	0.326443	0.506437	0.040664	0.021546	0.102496	0.518491	0.582772	0.34645
7,648	train	H1	H23	300	300	40	39.666667	40.666667	0.684583	-0.377158	-1.362908	-1.369468	4.621348	5.347819	4.877775	-1.369468	1.362908	0.087258	1.875442	0.636368	0.13929	4.306377	4.341527	0.399181
7,648	train	H0	H23	500	500	40	41	35.8	0.285167	-0.560651	0.506769	0.506538	3.843605	4.415577	4.314731	0.285167	0.560651	0.115629	0.256581	0.019279	0.309419	2.295595	2.283073	0.599073
7,648	train	H1	H23	500	500	40	38.4	40.6	1.044446	-0.761539	-1.590002	-1.591833	3.582429	7.120299	4.120996	-1.591833	1.590002	0.068161	2.533933	1.490523	0.573023	4.043225	4.082251	0.817476
7,648	train	H0	H23	1,000	1,000	40	39.1	38	-0.744448	0.579782	1.049951	1.050153	1.391354	1.782477	1.474092	-0.744448	1.049951	0.478525	1.102821	0.669313	0.340176	1.502719	1.54215	-0.634168
7,648	train	H1	H23	1,000	1,000	40	41.6	38.7	-2.333756	2.643614	1.037978	1.040646	16.779603	17.421742	15.953042	-2.333756	2.643614	0.000343	1.082944	4.788967	7.008812	1.866664	1.836263	-2.859077
7,648	train	H0	H23	20	20	50	65	45	-1.16611	1.201795	0.758786	0.74708	3.562306	4.435976	3.43599	0.74708	1.201795	0.129524	0.558128	1.209851	1.711089	0.206285	0.155105	-1.515981
7,648	train	H1	H23	20	20	50	55	55	1.061392	-1.13644	-1.29014	-1.321327	2.183054	7.461448	2.039188	1.061392	1.29014	0.058557	1.745906	1.229493	1.028398	1.704507	1.428041	1.331421
7,648	train	H0	H23	30	30	50	50	46.666667	-0.145448	0.292303	0.107459	0.105913	0.011361	3.126253	0.034871	-0.145448	0.292303	0.372566	0.011218	0.02284	0.112096	0.009338	0.002982	-0.370396
7,648	train	H1	H23	30	30	50	66.666667	50	-0.00953	0.09759	-0.235298	-0.242378	0.948612	1.29866	0.903213	-0.242378	0.235298	0.636605	0.058747	0.002356	0.044092	0.302917	0.236543	-0.265789
7,648	train	H0	H23	50	50	50	60	50	0.799454	-0.991517	-0.642948	-0.652687	0.816445	2.325201	0.887598	0.799454	0.991517	0.283146	0.426001	0.687648	0.909816	0.005302	0.002389	1.073278
7,648	train	H1	H23	50	50	50	34	54	1.483854	-1.36915	-1.778987	-1.782371	3.534629	3.620157	3.504531	-1.782371	1.778987	0.138464	3.176845	2.321154	1.820289	3.021922	3.034794	1.481536
7,648	train	H0	H23	75	75	50	44	45.333333	0.016081	-0.138503	0.154805	0.153347	0.142061	0.444059	0.197409	0.153347	0.154805	0.896305	0.023515	0.000197	0.012624	0.160864	0.195282	0.130331
7,648	train	H1	H23	75	75	50	48	42.666667	-0.882128	0.925612	0.694831	0.691056	0.930096	1.013955	0.952703	-0.882128	0.925612	0.300849	0.477558	0.764081	0.889536	0.060845	0.071627	-1.034615
7,648	train	H0	H23	100	100	50	56	50	0.85977	-1.100825	-0.45363	-0.456208	2.235094	2.96891	2.406561	-0.456208	1.100825	0.227292	0.208126	0.66118	1.15922	0.247976	0.242396	1.207364
7,648	train	H1	H23	100	100	50	51	45	0.843605	-0.949453	-0.663391	-0.66432	0.788063	0.906284	0.840801	0.843605	0.949453	0.291238	0.441321	0.66358	0.849975	0.012644	0.012922	1.05541
7,648	train	H0	H23	150	150	50	48.666667	50.666667	0.159286	0.267087	-0.768169	-0.769301	3.409165	9.22108	4.070343	-0.769301	0.768169	0.026491	0.591824	0.059426	0.077645	2.786284	2.952247	-0.30067
7,648	train	H1	H23	150	150	50	48	52	1.426285	-1.203795	-1.694303	-1.699795	3.192401	4.635163	3.319024	-1.699795	1.694303	0.190232	2.889303	2.087481	1.428084	2.939098	3.139501	1.307332
7,648	train	H0	H23	200	200	50	53	50.5	-0.440087	0.281699	0.650521	0.648813	0.736283	0.773789	0.721085	0.648813	0.650521	0.697298	0.420959	0.205806	0.088054	0.80677	0.78812	-0.334915
7,648	train	H1	H23	200	200	50	60	49.5	-1.643728	1.578416	1.717589	1.714579	2.939795	2.964152	2.941135	1.714579	1.717589	0.06356	2.939782	2.710616	2.567143	1.978119	2.07787	-1.855255
7,648	train	H0	H23	300	300	50	52.333333	47	-1.923524	2.018515	1.488216	1.488864	4.786712	4.872602	4.669219	-1.923524	2.018515	0.023798	2.216715	3.691185	4.11694	0.09447	0.112598	-2.260369
7,648	train	H1	H23	300	300	50	53	47.666667	-1.103274	1.208662	0.787922	0.787798	1.842232	2.223591	1.937335	-1.103274	1.208662	0.173574	0.620626	1.099623	1.483682	0.000679	0.000265	-1.360808
7,648	train	H0	H23	500	500	50	50.2	47.6	-1.317797	1.176819	1.451792	1.452458	2.120818	2.207237	2.131723	1.452458	1.451792	0.185197	2.109635	1.79059	1.403209	1.706584	1.699588	-1.324923
7,648	train	H1	H23	500	500	50	52.2	47.2	-0.846324	0.782272	1.006014	1.004809	1.162065	1.826703	1.112424	1.004809	1.006014	0.377033	1.009642	0.742766	0.623815	1.104396	1.082939	-0.883376
7,648	train	H0	H23	1,000	1,000	50	52	51	-0.913732	0.95631	0.560878	0.560418	2.186445	3.422461	1.810936	-0.913732	0.95631	0.283906	0.314069	0.930365	0.924751	0.063948	0.060175	-1.071586
7,648	train	H1	H23	1,000	1,000	50	49.9	48.6	-0.566568	0.59677	0.357533	0.357376	0.612272	0.766549	0.610443	-0.566568	0.59677	0.49968	0.127717	0.319118	0.363954	0.007898	0.008037	-0.674994
7,648	train	H0	H24	20	20	0	0	0	-0.568052	0.568052	1.322909	1.36677	5.003395	5.181337	4.834456	1.36677	1.322909	0.089168	1.868059	0.84697	0.321311	4.635778	4.473132	-0.575288
7,648	train	H1	H24	20	20	0	0	0	1.568905	-1.568905	-1.052382	-1.033148	2.374175	5.202267	3.060814	1.568905	1.568905	0.112085	1.067394	1.732702	2.490007	0.040209	0.021194	1.588892
7,648	train	H0	H24	30	30	0	0	0	1.448874	-1.448874	-1.532895	-1.543331	2.387474	2.961428	2.410963	-1.543331	1.532895	0.143988	2.381869	2.254986	2.105563	1.388063	1.330638	1.461101
7,648	train	H1	H24	30	30	0	0	0	1.123616	-1.123616	-1.520017	-1.551841	3.039206	4.721858	2.819767	-1.551841	1.520017	0.193334	2.40821	1.666962	1.261824	2.591589	2.429411	1.133098
7,648	train	H0	H24	50	50	0	0	0	-0.689382	0.689382	1.259784	1.268118	2.427453	2.450793	2.474895	1.268118	1.259784	0.290124	1.608124	0.882553	0.474333	2.551055	2.519964	-0.692855
7,648	train	H1	H24	50	50	0	0	0	0.889303	-0.889303	-0.675777	-0.670618	0.988497	1.279136	0.840155	0.889303	0.889303	0.371438	0.449729	0.76162	0.791599	0.075621	0.120997	0.893783
7,648	train	H0	H24	75	75	0	0	0	1.527923	-1.527923	-2.029634	-2.062053	4.416878	5.121092	4.629244	-2.062053	2.029634	0.098804	4.252063	3.366782	2.342142	4.298616	4.470303	1.522787
7,648	train	H1	H24	75	75	0	0	0	-0.716038	0.716038	0.522914	0.518232	0.363351	1.617855	0.558385	-0.716038	0.716038	0.475456	0.268564	0.352937	0.511811	0.042259	0.024996	-0.713631
7,648	train	H0	H24	100	100	0	0	0	1.292553	-1.292553	-1.267606	-1.270858	1.628375	5.629679	1.753449	1.292553	1.292553	0.131085	1.615079	1.593583	1.672095	0.805548	0.713472	1.295796
7,648	train	H1	H24	100	100	0	0	0	-2.243031	2.243031	2.8669	2.979703	10.260434	11.293517	9.817496	2.979703	2.8669	0.007382	8.87863	6.441556	5.053991	9.568046	9.458384	-2.24866
7,648	train	H0	H24	150	150	0	0	0	0.436606	-0.436606	-1.03676	-1.0428	2.672711	5.691327	2.088011	-1.0428	1.03676	0.127633	1.087431	0.380303	0.190427	1.910392	1.774625	0.437336
7,648	train	H1	H24	150	150	0	0	0	-1.265892	1.265892	0.94328	0.944463	0.972004	7.189636	1.717989	-1.265892	1.265892	0.066093	0.89201	0.963614	1.605975	0.116827	0.078722	-1.268007
7,648	train	H0	H24	200	200	0	0	0	0.603732	-0.603732	-0.83844	-0.83851	0.81692	1.177579	0.770742	0.603732	0.83844	0.545519	0.7031	0.451717	0.364222	0.699296	0.761065	0.604488
7,648	train	H1	H24	200	200	0	0	0	0.766341	-0.766341	-0.450319	-0.451417	1.805163	7.786272	0.786534	0.766341	0.766341	0.050642	0.203777	0.668094	0.587298	0.000377	0.007828	0.767301
7,648	train	H0	H24	300	300	0	0	0	-1.036698	1.036698	0.763158	0.762496	0.785275	3.11446	1.153174	-1.036698	1.036698	0.299474	0.581401	0.804678	1.074888	0.077074	0.061314	-1.037563
7,648	train	H1	H24	300	300	0	0	0	1.271262	-1.271262	-1.174226	-1.172243	1.897089	2.512841	1.636159	-1.172243	1.271262	0.203259	1.374154	1.806082	1.617008	0.581174	0.648158	1.272323
7,648	train	H0	H24	500	500	0	0	0	-0.758326	0.758326	0.524857	0.523995	0.527727	0.507408	0.647103	-0.758326	0.758326	0.448029	0.274571	0.413929	0.574971	0.024064	0.032237	-0.758706
7,648	train	H1	H24	500	500	0	0	0	-1.083073	1.083073	0.834994	0.836615	0.704413	4.897067	1.220394	-1.083073	1.083073	0.179491	0.699924	0.588444	1.17406	0.118372	0.100753	-1.083615
7,648	train	H0	H24	1,000	1,000	0	0	0	-0.094477	0.094477	-0.158852	-0.158746	0.238053	0.28527	0.242013	-0.158746	0.158852	0.886028	0.0252	0	0.008925	0.134906	0.123984	-0.094501
7,648	train	H1	H24	1,000	1,000	0	0	0	0.132578	-0.132578	-0.308886	-0.310021	0.949203	21.121107	0.173232	-0.310021	0.308886	0.000099	0.096113	0.327973	0.017592	0.208695	0.243823	0.132611
7,648	train	H0	H24	20	20	10	10	5	-0.14435	0.135422	0.163576	0.159987	0.03696	0.908005	0.025596	0.159987	0.163576	0.823496	0.025596	0.012925	0.018162	0.067207	0.036745	-0.150461
7,648	train	H1	H24	20	20	10	5	10	0.579524	-0.520762	-1.440437	-1.499268	8.073501	9.702458	7.57848	-1.499268	1.440437	0.021272	2.247806	0.876049	0.270361	6.061357	5.764947	0.558467
7,648	train	H0	H24	30	30	10	16.666667	13.333333	-1.846627	1.893306	1.324435	1.329075	4.495727	4.756462	4.39918	-1.846627	1.893306	0.055318	1.766439	2.98721	3.636631	0.007752	0.014907	-1.916371
7,648	train	H1	H24	30	30	10	10	10	-0.784792	0.814951	0.588459	0.585452	0.794687	1.298398	0.706884	0.585452	0.814951	0.414543	0.342754	0.588856	0.662079	0.054509	0.102869	-0.815924
7,648	train	H0	H24	50	50	10	6	10	-0.031503	0.04917	-0.532417	-0.526991	1.58387	1.545872	1.569043	-0.031503	0.532417	0.456338	0.277719	0.029805	0.002409	0.973667	0.87416	-0.045121
7,648	train	H1	H24	50	50	10	6	18	-1.579286	1.629332	0.545753	0.543326	6.53938	6.324887	6.455713	-1.579286	1.629332	0.039642	0.295203	1.595178	2.67563	0.894139	0.693807	-1.645998
7,648	train	H0	H24	75	75	10	6.666667	12	-0.175324	0.189622	-0.234586	-0.233265	0.611007	2.05948	0.792411	-0.175324	0.234586	0.560154	0.054413	0.000003	0.035932	0.368413	0.45111	-0.187117
7,648	train	H1	H24	75	75	10	10.666667	14.666667	-0.45291	0.504311	-0.325597	-0.324851	3.339003	3.353931	3.322155	-0.324851	0.504311	0.189934	0.105528	0.03372	0.253884	1.42167	1.372571	-0.500744
7,648	train	H0	H24	100	100	10	7	12	0.911855	-0.85553	-1.7667	-1.786219	6.087381	6.27506	5.851642	-1.786219	1.7667	0.053621	3.190579	1.516683	0.731449	5.451002	5.354543	0.86823
7,648	train	H1	H24	100	100	10	10	13	-0.664709	0.689292	0.339832	0.338772	0.318893	6.626677	0.798613	-0.664709	0.689292	0.084798	0.114766	0.191217	0.474946	0.0139	0.039239	-0.697178
7,648	train	H0	H24	150	150	10	9.333333	9.333333	-0.575829	0.562827	0.676826	0.675991	0.530013	2.127626	0.461837	-0.575829	0.676826	0.546344	0.456964	0.300774	0.316484	0.421936	0.367068	-0.567289
7,648	train	H1	H24	150	150	10	12	9.333333	-0.254434	0.265213	-0.224233	-0.223939	0.550308	1.920787	1.081905	-0.223939	0.265213	0.582193	0.050149	0.001171	0.070368	0.505739	0.52328	-0.272917
7,648	train	H0	H24	200	200	10	8.5	8.5	0.520685	-0.525659	-0.307417	-0.306151	0.339926	0.324129	0.387962	0.520685	0.525659	0.596886	0.093729	0.193709	0.275652	0.001358	0.000298	0.528884
7,648	train	H1	H24	200	200	10	8	14	0.64443	-0.574236	-1.404293	-1.403846	2.746072	9.257407	3.842269	-1.403846	1.404293	0.026057	1.970785	1.175649	0.330292	3.672574	3.992262	0.583392
7,648	train	H0	H24	300	300	10	8	10	-0.254885	0.272977	-0.282376	-0.281642	1.840836	2.994001	1.321794	-0.254885	0.282376	0.392551	0.079322	0.019984	0.074472	0.641662	0.576216	-0.273194
7,648	train	H1	H24	300	300	10	11.333333	10.333333	0.766506	-0.768499	-0.587008	-0.586318	0.948295	2.465076	0.636844	0.766506	0.768499	0.438753	0.343768	0.644064	0.591054	0.055017	0.081005	0.774301
7,648	train	H0	H24	500	500	10	9.6	10	0.168144	-0.170688	-0.247064	-0.246693	0.062252	0.067257	0.074591	0.168144	0.247064	0.863725	0.060857	0.057721	0.029124	0.066913	0.057232	0.171634
7,648	train	H1	H24	500	500	10	9.8	10	-0.053219	0.023268	0.7111	0.712318	3.559409	5.981824	2.181357	-0.053219	0.7111	0.112498	0.507397	0.011851	0.000542	1.516434	1.537952	-0.025057
7,648	train	H0	H24	1,000	1,000	10	8.9	10.4	-0.079323	0.119447	-0.457983	-0.458155	0.749065	5.861786	1.384354	-0.458155	0.457983	0.118532	0.209906	0.039801	0.014267	0.906267	0.936599	-0.119903
7,648	train	H1	H24	1,000	1,000	10	11.1	10.8	-0.644749	0.60759	1.138518	1.141157	3.332767	10.744134	2.040526	1.141157	1.138518	0.013193	1.302239	0.386755	0.369195	1.962052	1.920784	-0.612486
7,648	train	H0	H24	20	20	20	30	5	-1.173338	1.16683	1.127586	1.109349	1.368831	1.377194	1.37447	-1.173338	1.16683	0.226766	1.230656	1.373242	1.3539	0.664624	0.737767	-1.208732
7,648	train	H1	H24	20	20	20	25	20	0.78205	-0.764485	-0.941144	-0.978494	1.207935	1.444954	1.184144	-0.978494	0.941144	0.417951	0.95745	0.732824	0.582884	0.883496	0.838468	0.809981
7,648	train	H0	H24	30	30	20	13.333333	30	2.016107	-2.170765	-1.011279	-1.002714	8.07167	8.024666	8.299977	2.016107	2.170765	0.015765	1.005436	2.997307	4.724336	0.148791	0.092308	2.240806
7,648	train	H1	H24	30	30	20	13.333333	16.666667	0.713654	-0.673076	-1.022871	-1.014852	1.365852	2.093977	1.286089	0.713654	1.022871	0.482714	1.029925	0.648657	0.452576	1.096835	0.947349	0.701944
7,648	train	H0	H24	50	50	20	12	28	1.633649	-1.573804	-1.842347	-1.844501	3.500205	4.624264	3.427337	-1.844501	1.842347	0.10637	3.402183	2.728272	2.482112	2.624622	2.556205	1.614727
7,648	train	H1	H24	50	50	20	16	14	0.049874	0.010962	-0.299757	-0.298833	0.131687	4.313369	0.360899	-0.298833	0.299757	0.229554	0.089301	0.059661	0.00012	0.279747	0.413034	-0.007408
7,648	train	H0	H24	75	75	20	28	18.666667	-1.706513	1.657242	1.858328	1.877817	3.527917	4.325659	3.535203	1.877817	1.858328	0.090051	3.526195	3.224418	2.748326	2.744755	2.842518	-1.695129
7,648	train	H1	H24	75	75	20	18.666667	14.666667	-0.523645	0.5494	0.293147	0.291905	0.276446	1.378644	0.474094	0.291905	0.5494	0.579426	0.085209	0.15095	0.301487	0.00124	0.003854	-0.554224
7,648	train	H0	H24	100	100	20	23	19	-0.238874	0.222759	0.319939	0.318918	0.150428	0.574396	0.118243	0.318918	0.319939	0.818491	0.101709	0.049159	0.049555	0.143707	0.127261	-0.229487
7,648	train	H1	H24	100	100	20	20	26	1.188549	-1.05691	-1.688085	-1.70264	3.356715	6.27617	3.883388	-1.70264	1.688085	0.09892	2.898982	2.167961	1.119711	4.058848	4.199504	1.069823
7,648	train	H0	H24	150	150	20	20	18.666667	-0.664496	0.690937	0.33579	0.33627	1.287518	2.814451	0.893095	-0.664496	0.690937	0.421127	0.113078	0.437465	0.477474	0.04118	0.029749	-0.705454
7,648	train	H1	H24	150	150	20	15.333333	20	0.358295	-0.278208	-1.088933	-1.08955	2.549603	7.740972	3.635352	-1.08955	1.088933	0.05168	1.187118	0.560442	0.077592	3.085061	3.341302	0.282485
7,648	train	H0	H24	200	200	20	16	21.5	-0.83073	0.848914	0.422682	0.422693	1.973363	3.765867	1.32864	0.422693	0.848914	0.287881	0.178669	0.680399	0.721756	0.050097	0.02272	-0.862758
7,648	train	H1	H24	200	200	20	25	28	-1.116593	1.230632	0.609119	0.608537	1.884966	4.325414	2.471306	-1.116593	1.230632	0.208366	0.370318	0.876819	1.517998	0.071203	0.087892	-1.258072
7,648	train	H0	H24	300	300	20	21.333333	19	0.27906	-0.350106	0.235038	0.234894	1.250054	3.370324	1.590885	0.27906	0.350106	0.337974	0.055175	0.005709	0.122399	0.701996	0.714603	0.355474
7,648	train	H1	H24	300	300	20	19	20.333333	0.380381	-0.276243	-0.763171	-0.764217	0.609633	21.033073	1.19888	-0.764217	0.763171	0.000104	0.584028	0.497422	0.076309	1.222456	1.466302	0.280367
7,648	train	H0	H24	500	500	20	18.4	20.8	-0.238453	0.261101	0.097035	0.096981	0.160503	0.196556	0.142641	-0.238453	0.261101	0.790652	0.009405	0.048916	0.068158	0.008716	0.010395	-0.265464
7,648	train	H1	H24	500	500	20	20	21.6	0.477601	-0.377324	-1.117323	-1.117487	2.438122	4.954341	3.127108	-1.117487	1.117323	0.175171	1.248776	0.627461	0.142426	2.736755	2.814393	0.383681
7,648	train	H0	H24	1,000	1,000	20	19.5	21.4	1.187082	-1.150914	-1.334597	-1.334121	1.804543	2.087882	1.786939	-1.334121	1.334597	0.242511	1.77988	1.496145	1.324557	1.368107	1.31999	1.168732
7,648	train	H1	H24	1,000	1,000	20	21.1	21.8	-0.188864	0.253922	-0.258716	-0.25864	0.498871	5.773621	1.176227	-0.188864	0.258716	0.123159	0.066895	0.01104	0.064505	0.624672	0.692657	-0.258377

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