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
7,642	train	H0	H25	20	20	40	50	45	-0.185321	0.39409	-0.04319	-0.042272	0.555117	0.626236	0.532041	-0.042272	0.39409	0.683439	0.001787	0.062881	0.154042	0.114426	0.10458	-0.407775
7,642	train	H1	H25	20	20	40	35	55	1.770642	-1.817838	-1.71763	-1.715801	3.099519	4.540096	3.165558	-1.715801	1.817838	0.051694	2.943972	3.176897	3.254294	1.155243	1.115454	1.945672
7,642	train	H0	H25	30	30	40	50	46.666667	-0.81238	0.871833	0.624333	0.620059	1.211005	2.955179	1.098841	0.620059	0.871833	0.368544	0.384473	0.697836	0.778182	0.012091	0.001928	-0.899204
7,642	train	H1	H25	30	30	40	30	40	0.339354	-0.154721	-0.875716	-0.871736	2.754289	4.135037	3.007629	-0.871736	0.875716	0.222281	0.759923	0.252245	0.023887	2.09745	2.099775	0.197796
7,642	train	H0	H25	50	50	40	48	40	-1.151335	1.034338	1.288954	1.29087	1.735776	2.047661	1.752213	-1.151335	1.288954	0.264779	1.666346	1.402416	1.071427	1.875262	1.918556	-1.115167
7,642	train	H1	H25	50	50	40	32	50	2.292822	-2.166885	-2.371274	-2.407785	5.804912	6.665022	5.798839	-2.407785	2.371274	0.023002	5.797431	5.157887	4.684518	4.068273	3.893152	2.273407
7,642	train	H0	H25	75	75	40	37.333333	44	0.638021	-0.426296	-1.108416	-1.106871	2.922927	3.137664	3.004067	-1.106871	1.108416	0.222677	1.225164	0.484199	0.179406	2.508891	2.506632	0.447281
7,642	train	H1	H25	75	75	40	41.333333	41.333333	1.034241	-1.067741	-0.855149	-0.854915	1.324926	1.598248	1.263441	1.034241	1.067741	0.263391	0.73088	1.066288	1.131456	0.081338	0.087662	1.118413
7,642	train	H0	H25	100	100	40	30	48	1.872265	-1.659925	-2.230725	-2.226293	5.545465	5.662021	5.546426	-2.226293	2.230725	0.062461	4.956382	3.633081	2.754368	5.001667	5.105486	1.723226
7,642	train	H1	H25	100	100	40	43	44	0.100312	-0.114192	-0.054203	-0.053946	0.034634	0.078856	0.028849	-0.053946	0.114192	0.907156	0.00291	0.011422	0.011971	0.015777	0.012106	0.116627
7,642	train	H0	H25	150	150	40	40.666667	38	-0.656011	0.476379	0.992364	0.990569	1.607911	1.580461	1.621161	0.990569	0.992364	0.4446	0.981227	0.492979	0.228465	1.775602	1.742274	-0.512768
7,642	train	H1	H25	150	150	40	38.666667	44.666667	-0.006947	0.134831	-0.245205	-0.244878	0.442543	2.695725	0.600262	-0.244878	0.245205	0.440954	0.059965	0.005088	0.018185	0.313952	0.34739	-0.142205
7,642	train	H0	H25	200	200	40	37	45	0.058277	0.049527	-0.158248	-0.1582	0.054744	1.297888	0.102569	0.058277	0.158248	0.729635	0.025027	0.009025	0.002455	0.057127	0.074617	-0.053806
7,642	train	H1	H25	200	200	40	38.5	42	0.150051	-0.059039	-0.380865	-0.379282	0.543397	0.544384	0.534805	-0.379282	0.380865	0.765365	0.143854	0.031947	0.003359	0.370603	0.360789	0.063672
7,642	train	H0	H25	300	300	40	37	39	1.475131	-1.646	-0.85918	-0.858486	4.84715	4.863012	4.815616	1.475131	1.646	0.086598	0.736998	1.929131	2.711699	0.115781	0.10533	1.713621
7,642	train	H1	H25	300	300	40	34.333333	39.666667	1.302897	-1.010834	-2.030096	-2.035973	7.912404	8.027373	8.021715	-2.035973	2.030096	0.018118	4.145187	2.062892	1.021076	7.507424	7.477929	1.048558
7,642	train	H0	H25	500	500	40	43.6	41.4	-1.622347	1.785599	1.120119	1.11943	4.222518	4.128905	4.339587	-1.622347	1.785599	0.060458	1.253123	2.410676	3.19215	0.00336	0.001882	-1.87744
7,642	train	H1	H25	500	500	40	36.4	40.2	1.385613	-1.008449	-2.218679	-2.232721	9.825766	12.198165	10.46299	-2.232721	2.218679	0.005346	4.985045	2.5308	1.017057	9.765519	9.792379	1.04351
7,642	train	H0	H25	1,000	1,000	40	37.9	38.4	1.063191	-1.256775	-0.500466	-0.500503	3.180805	3.744797	3.327179	1.063191	1.256775	0.188395	0.250503	0.979661	1.579781	0.278351	0.290837	1.315342
7,642	train	H1	H25	1,000	1,000	40	39.7	39.9	0.051265	0.072673	-0.278067	-0.278068	0.385905	1.701392	0.519398	0.051265	0.278067	0.636624	0.077322	0.012257	0.005281	0.33917	0.351864	-0.075516
7,642	train	H0	H25	20	20	50	75	50	-1.224732	1.265791	1.102803	1.094923	1.846117	3.48932	1.801395	-1.224732	1.265791	0.177757	1.198856	1.570834	1.59327	0.453995	0.566613	-1.347694
7,642	train	H1	H25	20	20	50	60	60	0.218307	-0.49587	-0.003538	-0.003501	1.136598	1.398673	1.161374	-0.003501	0.49587	0.559514	0.000012	0.078679	0.244043	0.537999	0.513601	0.514942
7,642	train	H0	H25	30	30	50	56.666667	43.333333	-0.090776	0.156716	0.03351	0.034357	0.04055	3.283683	0.067565	0.034357	0.156716	0.34992	0.00118	0.004021	0.027629	0.000844	0	-0.169312
7,642	train	H1	H25	30	30	50	43.333333	70	2.415732	-2.384658	-2.450045	-2.4636	6.07302	10.520544	6.087255	-2.4636	2.450045	0.008642	6.069323	5.659186	5.675531	3.669279	3.35207	2.625895
7,642	train	H0	H25	50	50	50	54	60	1.164692	-1.281651	-1.020183	-1.014364	1.554009	1.645771	1.530707	1.164692	1.281651	0.16032	1.028935	1.493344	1.642019	0.11072	0.146603	1.403997
7,642	train	H1	H25	50	50	50	42	44	0.597622	-0.273623	-1.184435	-1.206982	6.534663	6.859231	6.410197	-1.206982	1.184435	0.040555	1.456806	0.423083	0.070515	4.77885	4.63831	0.291204
7,642	train	H0	H25	75	75	50	45.333333	52	0.104109	-0.098516	-0.091094	-0.090766	0.012693	0.084514	0.011453	-0.090766	0.098516	0.919348	0.008238	0.00505	0.009688	0.001576	0.000137	0.101256
7,642	train	H1	H25	75	75	50	45.333333	44	-0.723954	0.849902	0.446521	0.445647	1.130816	1.601422	1.212118	0.445647	0.849902	0.374807	0.198601	0.538966	0.727007	0.030095	0.033948	-0.887506
7,642	train	H0	H25	100	100	50	42	51	1.618145	-1.859446	-1.177025	-1.170635	3.666789	5.482934	3.963131	1.618145	1.859446	0.04727	1.370387	2.559653	3.45435	0.006725	0.003793	1.98387
7,642	train	H1	H25	100	100	50	50	56	0.926015	-0.74177	-1.192034	-1.1896	2.185402	3.549824	2.070443	-1.1896	1.192034	0.314357	1.415148	0.778728	0.547199	1.88945	1.648515	0.804772
7,642	train	H0	H25	150	150	50	47.333333	45.333333	0.199604	-0.519275	0.191839	0.191262	1.193248	8.308446	1.687359	0.191262	0.519275	0.040049	0.036581	0.021329	0.268587	0.742775	0.91461	0.5426
7,642	train	H1	H25	150	150	50	63.333333	46.666667	-2.246689	2.107761	2.403114	2.407743	5.964573	8.239851	5.906909	2.407743	2.403114	0.023888	5.797227	4.969135	4.45469	4.828901	4.602993	-2.25893
7,642	train	H0	H25	200	200	50	45	55	1.27683	-1.329046	-1.1571	-1.155914	1.622673	2.780072	1.694991	1.27683	1.329046	0.156911	1.336136	1.661717	1.765551	0.412651	0.327697	1.415538
7,642	train	H1	H25	200	200	50	53	48	-0.997692	1.104186	0.836102	0.834827	1.104561	2.223685	1.192631	0.834827	1.104186	0.237987	0.696937	0.934952	1.220045	0.117233	0.112753	-1.180033
7,642	train	H0	H25	300	300	50	48	52	0.761764	-0.764215	-0.791805	-0.790485	0.629366	1.931938	0.62497	-0.790485	0.791805	0.416992	0.624866	0.554937	0.583709	0.363799	0.344358	0.811651
7,642	train	H1	H25	300	300	50	47.666667	47.333333	0.281866	-0.421356	-0.049272	-0.049195	0.646246	1.229406	0.724456	-0.049195	0.421356	0.657031	0.00242	0.060116	0.175966	0.219969	0.213263	0.444017
7,642	train	H0	H25	500	500	50	51.4	47.2	-0.638799	0.534423	0.832371	0.831624	1.08735	2.523349	0.999623	0.831624	0.832371	0.471086	0.691598	0.379474	0.285687	1.064282	0.965266	-0.569383
7,642	train	H1	H25	500	500	50	47.6	48.8	-0.281589	0.816198	-0.621138	-0.621729	9.462974	11.888808	10.110753	-0.621729	0.816198	0.006375	0.386546	0.046166	0.666672	5.277387	5.129978	-0.864201
7,642	train	H0	H25	1,000	1,000	50	51.1	50.2	-1.130266	1.030811	1.266264	1.266554	1.741102	2.359966	1.702183	1.266554	1.266264	0.271741	1.604159	1.230592	1.062725	1.577063	1.569555	-1.099063
7,642	train	H1	H25	1,000	1,000	50	48	50.9	1.726479	-1.243296	-2.437007	-2.447316	11.380589	11.477459	11.452887	-2.447316	2.437007	0.003259	5.989357	2.983639	1.545991	10.978919	11.039907	1.306382
7,642	train	H0	H26	20	20	0	0	0	-0.649202	0.649202	0.502908	0.489785	0.34264	1.404999	0.448114	-0.649202	0.649202	0.510877	0.239889	0.315283	0.418377	0.066954	0.041879	-0.657473
7,642	train	H1	H26	20	20	0	0	0	-0.757402	0.757402	0.283747	0.282432	1.900219	4.63611	1.330736	-0.757402	0.757402	0.200466	0.079768	0.431364	0.573309	0.147006	0.049774	-0.767051
7,642	train	H0	H26	30	30	0	0	0	0.443533	-0.443533	-0.362051	-0.357452	0.230677	0.78412	0.200431	0.443533	0.443533	0.654676	0.127772	0.18146	0.195663	0.012993	0.036575	0.447276
7,642	train	H1	H26	30	30	0	0	0	0.044353	-0.044353	-0.203584	-0.201061	0.310965	2.800249	0.122038	0.044353	0.203584	0.423459	0.040425	0.001302	0.001954	0.062976	0.020254	0.044728
7,642	train	H0	H26	50	50	0	0	0	1.220206	-1.220206	-1.839737	-1.881188	4.541498	4.479026	4.583653	-1.881188	1.839737	0.101082	3.538867	2.335392	1.490562	4.313404	4.264694	1.226353
7,642	train	H1	H26	50	50	0	0	0	0.310222	-0.310222	0.002141	0.002132	0.066464	6.221306	0.428177	0.310222	0.310222	0.101326	0.000005	0.007455	0.096105	0.113923	0.206842	0.311785
7,642	train	H0	H26	75	75	0	0	0	0.840076	-0.840076	-1.081494	-1.08478	1.430661	4.680682	1.236691	0.840076	1.081494	0.196729	1.176747	0.798046	0.704968	1.062983	0.942099	0.837252
7,642	train	H1	H26	75	75	0	0	0	1.666996	-1.666996	-2.034222	-2.091418	5.122586	16.43856	4.590741	1.666996	2.034222	0.000922	4.37403	3.168088	2.784639	4.004587	3.784619	1.661392
7,642	train	H0	H26	100	100	0	0	0	0.334744	-0.334744	-0.22977	-0.228364	0.054382	2.180125	0.128542	0.334744	0.334744	0.535874	0.05215	0.05942	0.111834	0.000591	0.001622	0.335584
7,642	train	H1	H26	100	100	0	0	0	-0.256556	0.256556	0.062149	0.061989	0.576116	3.785233	0.177282	-0.256556	0.256556	0.285608	0.003843	0.086343	0.065755	0.018709	0.00301	-0.2572
7,642	train	H0	H26	150	150	0	0	0	0.463229	-0.463229	-0.412438	-0.412803	0.254317	6.513235	0.214777	0.463229	0.463229	0.089142	0.170407	0.100583	0.214491	0.06044	0.031478	0.464003
7,642	train	H1	H26	150	150	0	0	0	0.294177	-0.294177	-0.651252	-0.65311	1.392456	5.961546	0.758266	0.294177	0.651252	0.113496	0.426552	0.101132	0.086487	0.712661	0.614528	0.294668
7,642	train	H0	H26	200	200	0	0	0	0.183368	-0.183368	0.350549	0.349886	0.911904	1.833223	1.104999	0.183368	0.350549	0.57551	0.12242	0.001235	0.033591	0.675305	0.739692	0.183598
7,642	train	H1	H26	200	200	0	0	0	-0.256889	0.256889	0.511792	0.5124	0.30694	8.15687	0.412962	0.5124	0.511792	0.042879	0.262553	0.284984	0.065979	0.406194	0.514511	-0.25721
7,642	train	H0	H26	300	300	0	0	0	-1.188364	1.188364	0.175225	0.175663	5.734789	6.950951	4.494243	-1.188364	1.188364	0.073478	0.030857	0.852814	1.412536	0.885025	0.801677	-1.189355
7,642	train	H1	H26	300	300	0	0	0	-0.691917	0.691917	-0.243749	-0.245937	6.426911	14.809188	3.617152	-0.691917	0.691917	0.001987	0.060485	0.295005	0.47893	1.485884	1.362926	-0.692494
7,642	train	H0	H26	500	500	0	0	0	1.406506	-1.406506	-1.544962	-1.545597	2.40273	3.397081	2.405481	-1.545597	1.544962	0.159365	2.388871	2.045926	1.978419	1.582426	1.532579	1.407209
7,642	train	H1	H26	500	500	0	0	0	-0.884896	0.884896	0.481318	0.481685	2.16629	5.213586	1.120127	0.481685	0.884896	0.156809	0.232021	0.803205	0.78305	0.004373	0.000531	-0.885339
7,642	train	H0	H26	1,000	1,000	0	0	0	-0.2753	0.2753	-0.308465	-0.30838	1.756951	2.150926	1.283662	-0.2753	0.308465	0.526328	0.095098	0.018527	0.075783	0.659097	0.629935	-0.275369
7,642	train	H1	H26	1,000	1,000	0	0	0	1.941196	-1.941196	-2.791091	-2.818552	12.131012	26.801478	9.116827	1.941196	2.791091	0.000006	7.944237	4.150984	3.770508	9.009393	8.874319	1.941682
7,642	train	H0	H26	20	20	10	15	10	-1.289639	1.310347	1.059491	1.061467	1.884343	2.326756	1.753659	-1.289639	1.310347	0.181868	1.126713	1.612405	1.72007	0.248948	0.36416	-1.335026
7,642	train	H1	H26	20	20	10	0	15	1.486146	-1.496462	-0.992782	-0.976746	2.306688	5.269163	2.75949	1.486146	1.496462	0.120722	0.954034	1.662268	2.235827	0.039832	0.023772	1.551751
7,642	train	H0	H26	30	30	10	16.666667	6.666667	-1.210884	1.287879	0.39153	0.390013	3.985261	3.844228	4.077815	-1.210884	1.287879	0.130171	0.15211	0.927539	1.665181	0.607641	0.499786	-1.323833
7,642	train	H1	H26	30	30	10	13.333333	16.666667	0.478869	-0.461247	-0.872469	-0.871777	1.594273	3.190586	1.343318	-0.871777	0.872469	0.363164	0.759996	0.34645	0.211758	1.225267	1.069142	0.489685
7,642	train	H0	H26	50	50	10	10	18	0.118828	-0.106614	-0.422491	-0.417334	0.737528	1.916986	0.525861	0.118828	0.422491	0.589814	0.174168	0.0294	0.01132	0.367793	0.257668	0.112265
7,642	train	H1	H26	50	50	10	12	8	-0.235945	0.26398	-0.46422	-0.471456	3.572184	7.019118	2.872532	-0.471456	0.46422	0.071291	0.222271	0.000546	0.071427	1.588085	1.441985	-0.326481
7,642	train	H0	H26	75	75	10	10.666667	9.333333	-0.144076	0.114467	0.57343	0.570628	0.651228	3.060031	0.980425	0.570628	0.57343	0.382462	0.325616	0.126551	0.01307	0.871295	1.048336	-0.116553
7,642	train	H1	H26	75	75	10	13.333333	9.333333	-1.27557	1.207998	1.399368	1.404818	2.180692	6.191703	1.976305	1.404818	1.399368	0.102647	1.973514	2.139867	1.466946	1.227735	1.605917	-1.232767
7,642	train	H0	H26	100	100	10	9	13	1.045809	-1.135979	-0.213907	-0.21303	2.429899	5.245005	3.422796	1.045809	1.135979	0.154711	0.045382	0.529794	1.288356	0.576742	0.667821	1.158836
7,642	train	H1	H26	100	100	10	5	8	0.712997	-0.736052	-0.104841	-0.104357	0.919261	4.400643	1.794883	0.712997	0.736052	0.221326	0.01089	0.147168	0.542293	0.343424	0.414441	0.744107
7,642	train	H0	H26	150	150	10	13.333333	11.333333	-0.698154	0.734747	0.321688	0.320234	0.990771	1.252358	0.892715	0.320234	0.734747	0.451276	0.10255	0.363851	0.53924	0.029845	0.010535	-0.753289
7,642	train	H1	H26	150	150	10	9.333333	9.333333	-0.551839	0.500996	0.238018	0.239483	2.02848	16.824956	0.606981	-0.551839	0.500996	0.000768	0.057352	0.410468	0.251239	0.061817	0.02253	-0.508363
7,642	train	H0	H26	200	200	10	10.5	8.5	-1.861024	1.852679	1.719138	1.718481	3.58801	3.733098	3.492988	-1.861024	1.852679	0.05991	2.953177	3.512832	3.437989	1.181367	1.297416	-1.881453
7,642	train	H1	H26	200	200	10	9	9.5	2.018295	-2.053506	-1.730343	-1.743686	3.185299	15.070147	4.106365	2.018295	2.053506	0.001758	3.04044	3.139791	4.229718	1.028772	0.927286	2.078388
7,642	train	H0	H26	300	300	10	13	8.666667	-1.96193	1.974535	2.080608	2.080061	4.327373	5.01426	4.396001	-1.96193	2.080608	0.043869	4.326655	3.944252	3.903377	2.733976	2.654566	-2.015343
7,642	train	H1	H26	300	300	10	9.666667	10.333333	-0.485321	0.533705	-0.341121	-0.341461	3.639129	4.130794	3.076473	-0.341461	0.533705	0.21476	0.116596	0.089304	0.285018	1.50911	1.43647	-0.538837
7,642	train	H0	H26	500	500	10	8.6	10	0.065354	-0.061981	-0.014483	-0.014455	0.034492	0.064253	0.01247	0.065354	0.061981	0.949774	0.000209	0.00532	0.00384	0.003761	0.004843	0.06299
7,642	train	H1	H26	500	500	10	11.2	9.8	0.584505	-0.617257	-0.812203	-0.818485	1.924441	15.673129	0.778483	-0.818485	0.812203	0.001323	0.669918	0.178655	0.381264	0.862416	0.798717	0.62445
7,642	train	H0	H26	1,000	1,000	10	12	11.4	1.176447	-1.217772	-0.372766	-0.372783	3.764853	3.807053	3.491355	1.176447	1.217772	0.174527	0.138967	0.915306	1.483103	0.37894	0.35317	1.237803
7,642	train	H1	H26	1,000	1,000	10	10.3	11.4	0.671633	-0.721968	-0.946672	-0.949991	2.644	23.104201	1.043241	-0.949991	0.946672	0.000038	0.902483	0.267931	0.521243	1.054645	0.984223	0.733788
7,642	train	H0	H26	20	20	20	15	10	-0.695909	0.738236	0.04483	0.044363	2.488087	2.564356	2.362862	0.044363	0.738236	0.306839	0.001968	0.235439	0.542427	0.58924	0.460075	-0.739295
7,642	train	H1	H26	20	20	20	20	0	0.798305	-0.819882	-1.23163	-1.308751	3.041567	3.080662	3.079546	-1.308751	1.23163	0.21443	1.71283	1.092347	0.627815	2.498136	2.483994	0.777127
7,642	train	H0	H26	30	30	20	30	26.666667	0.207249	-0.11902	-0.539802	-0.532641	0.967755	1.490392	0.843803	-0.532641	0.539802	0.655799	0.283706	0.064089	0.014105	0.607769	0.491308	0.133043
7,642	train	H1	H26	30	30	20	33.333333	30	0.146107	-0.216133	0.250125	0.245103	1.14649	1.063046	1.164321	0.245103	0.250125	0.55869	0.060075	0.000923	0.046499	0.660257	0.615445	0.201808
7,642	train	H0	H26	50	50	20	30	32	-0.506413	0.474628	0.879518	0.891206	2.033603	5.369418	1.670254	0.891206	0.879518	0.146661	0.794249	0.319663	0.224577	1.701113	1.513652	-0.502956
7,642	train	H1	H26	50	50	20	16	30	-0.770546	0.913935	-0.132676	-0.13319	6.240851	7.627638	5.553735	-0.13319	0.913935	0.054368	0.01774	0.355648	0.839169	2.1329	1.759021	-0.931378
7,642	train	H0	H26	75	75	20	26.666667	17.333333	-1.727885	1.744044	1.162335	1.155756	4.276935	4.510573	3.961295	-1.727885	1.744044	0.075413	1.335771	2.637607	3.042806	0.000045	0.003594	-1.777942
7,642	train	H1	H26	75	75	20	24	21.333333	0.053098	0	-0.487286	-0.489697	1.252616	1.266575	1.233813	-0.489697	0.487286	0.539611	0.239803	0.037353	0.000004	0.807848	0.748755	0.000535
7,642	train	H0	H26	100	100	20	14	18	1.119308	-1.098579	-0.771664	-0.76897	2.1074	4.398592	1.536703	-0.76897	1.098579	0.221516	0.591315	1.206644	1.206136	0.020935	0.058398	1.126968
7,642	train	H1	H26	100	100	20	20	19	0.024576	-0.005439	-0.419293	-0.41661	1.164527	2.817365	0.820786	0.024576	0.419293	0.420649	0.173564	0.009229	0.00003	0.547483	0.433929	0.011493
7,642	train	H0	H26	150	150	20	18	20	-1.032973	0.987346	1.309311	1.316734	1.911317	2.119972	1.868782	1.316734	1.309311	0.309483	1.733789	1.291469	0.975056	1.819231	1.782836	-1.016307
7,642	train	H1	H26	150	150	20	21.333333	20.666667	0.0712	-0.057796	-0.347142	-0.347924	0.996682	4.606942	0.473295	0.0712	0.347142	0.202947	0.121051	0.00062	0.003339	0.379435	0.306898	0.060294
7,642	train	H0	H26	200	200	20	17	21	-0.941664	0.934636	0.603521	0.601935	1.146738	1.771993	1.179587	-0.941664	0.934636	0.335478	0.362326	0.75837	0.874201	0.000463	0.000016	-0.963138
7,642	train	H1	H26	200	200	20	26.5	19	-0.812701	0.660772	0.798573	0.796378	0.935231	2.333686	0.682696	-0.812701	0.798573	0.488528	0.634218	0.807488	0.436737	0.266309	0.328738	-0.692652
7,642	train	H0	H26	300	300	20	19	21.333333	-0.26738	0.278065	0.217481	0.217026	0.080683	0.474986	0.074002	-0.26738	0.278065	0.774494	0.0471	0.065723	0.077295	0.013879	0.028026	-0.286502
7,642	train	H1	H26	300	300	20	20.666667	20	-1.079171	0.96409	1.118562	1.117831	1.461959	3.500304	1.278077	-1.079171	1.118562	0.317468	1.249546	1.398298	0.930787	0.719742	0.761847	-0.999675
7,642	train	H0	H26	500	500	20	18.2	19.8	0.587184	-0.608477	-0.091116	-0.090958	1.684171	2.107325	1.321241	0.587184	0.608477	0.516531	0.008273	0.244562	0.370127	0.280837	0.251048	0.626863
7,642	train	H1	H26	500	500	20	19	22.2	0.459404	-0.552868	-0.584745	-0.584099	0.71274	5.65175	0.362908	0.459404	0.584745	0.129839	0.341171	0.15033	0.305748	0.33861	0.27634	0.572833
7,642	train	H0	H26	1,000	1,000	20	19.6	20.2	-1.625952	1.656561	1.249531	1.248783	2.719351	3.105446	2.869977	-1.625952	1.656561	0.087705	1.559458	2.426541	2.745303	0.199181	0.192846	-1.707631
7,642	train	H1	H26	1,000	1,000	20	19.6	19.5	0.026579	-0.176274	-0.027633	-0.02769	0.608395	22.172728	0.000785	0.026579	0.176274	0.00006	0.000767	0.03027	0.031088	0.00237	0.000019	0.182289

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