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
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6	train	H1	H07	20	20	20	5	45	2.568368	-2.608056	-2.380987	-2.366842	6.440389	9.259405	6.696019	2.568368	2.608056	0.007161	5.601941	6.396277	6.905776	2.170397	2.07442	2.689281
6	train	H0	H07	30	30	20	13.333333	26.666667	-0.463788	0.52845	-0.148952	-0.14963	2.398169	7.81722	2.951898	-0.14963	0.52845	0.049944	0.022389	0.034527	0.280422	1.033595	1.135564	-0.519448
6	train	H1	H07	30	30	20	23.333333	30	-1.158841	1.166483	0.962094	0.973675	1.613509	2.632461	1.490764	-1.158841	1.166483	0.235451	0.948043	1.309598	1.368316	0.230809	0.313422	-1.186433
6	train	H0	H07	50	50	20	20	16	-0.691371	0.788475	0.022297	0.02226	2.016842	4.849706	2.750686	0.02226	0.788475	0.183139	0.000495	0.168975	0.622873	0.677496	0.719851	-0.806723
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6	train	H0	H07	100	100	20	22	24	0.432212	-0.396594	-0.605122	-0.603775	0.502853	0.536317	0.479724	0.432212	0.605122	0.685857	0.364544	0.222788	0.157078	0.398486	0.402856	0.404484
6	train	H1	H07	100	100	20	19	19	-0.571307	0.653231	-0.097378	-0.097987	2.460355	6.041882	3.032908	-0.097987	0.653231	0.10959	0.009601	0.086525	0.426596	0.972019	0.998879	-0.660128
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6	train	H1	H07	150	150	20	20	26	2.21582	-2.113429	-2.505677	-2.545594	6.561966	7.825959	6.6347	-2.545594	2.505677	0.031441	6.480051	5.633405	4.476626	5.585344	5.715354	2.151447
6	train	H0	H07	200	200	20	19.5	16	-0.168047	0.127219	0.118874	0.119103	0.227291	9.498039	0.035184	0.119103	0.127219	0.023352	0.014186	0.052827	0.016178	0.000404	0.007976	-0.128622
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6	train	H1	H07	300	300	20	15	16	1.588917	-1.546985	-1.872557	-1.878387	3.538948	4.368227	3.60164	-1.878387	1.872557	0.118068	3.528338	3.180473	2.396824	2.987085	3.113832	1.562934
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6	train	H1	H07	500	500	20	20	22	1.784583	-1.660796	-2.281628	-2.290895	6.00051	6.11145	5.916461	-2.290895	2.281628	0.051911	5.248202	3.67236	2.760025	5.568255	5.542639	1.68404
6	train	H0	H07	1,000	1,000	20	19.1	16.5	-1.454993	1.439641	1.510182	1.509859	2.29206	2.938936	2.317152	-1.454993	1.510182	0.145153	2.279673	2.188771	2.072424	1.453038	1.421208	-1.456869
6	train	H1	H07	1,000	1,000	20	21.1	19.6	2.847684	-2.838529	-2.421358	-2.431356	8.988897	11.78105	8.329004	2.847684	2.838529	0.004048	5.911491	7.907785	8.067334	1.674706	1.794281	2.874369
6	train	H0	H07	20	20	30	25	40	0.800772	-0.72074	-1.153916	-1.142123	2.034816	2.322526	2.122574	-1.142123	1.153916	0.34601	1.304446	0.881555	0.52207	1.702561	1.74223	0.7815
6	train	H1	H07	20	20	30	65	40	-0.568445	0.276005	0.925554	0.906283	2.874938	2.85327	2.864287	0.906283	0.925554	0.238797	0.821349	0.27757	0.075784	2.804664	2.604572	-0.33606
6	train	H0	H07	30	30	30	26.666667	6.666667	0.361611	-0.425674	0.212462	0.210305	1.847577	1.933047	1.730528	0.210305	0.425674	0.42094	0.044228	0.041974	0.18193	0.871769	0.707171	0.435572
6	train	H1	H07	30	30	30	33.333333	23.333333	0.172267	-0.241495	0.193726	0.19064	1.080092	1.340547	0.985171	0.19064	0.241495	0.611045	0.036344	0.009213	0.058113	0.605805	0.469514	0.231379
6	train	H0	H07	50	50	30	30	32	-0.338056	0.307477	0.499466	0.497856	0.401586	0.389044	0.404956	-0.338056	0.499466	0.747818	0.24786	0.157418	0.094535	0.538725	0.525315	-0.321518
6	train	H1	H07	50	50	30	18	42	2.343044	-2.378858	-2.069645	-2.055931	5.109083	12.141088	5.683502	2.343044	2.378858	0.006915	4.226851	4.83996	5.70299	1.235822	1.030762	2.432407
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6	train	H0	H07	200	200	30	31.5	32	-0.165992	0.200255	0.070602	0.070385	0.049797	0.73596	0.091951	0.070385	0.200255	0.838782	0.004954	0.013091	0.04008	0.002682	0.007609	-0.203452
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6	train	H0	H07	75	75	50	57.333333	42.666667	-1.459926	1.40521	1.583959	1.579935	2.592585	2.582401	2.59501	1.579935	1.583959	0.147463	2.496195	2.230774	1.975885	2.538305	2.494692	-1.448549
6	train	H1	H07	75	75	50	50.666667	52	0.372738	-0.420329	-0.43408	-0.43288	0.246016	1.849649	0.217868	-0.43288	0.43408	0.604191	0.187385	0.149045	0.176642	0.15142	0.139996	0.434418
6	train	H0	H07	100	100	50	55	61	0.817325	-0.667306	-0.940012	-0.937693	1.066247	3.011235	1.116164	-0.937693	0.940012	0.389896	0.879268	0.722789	0.444874	0.866484	1.060366	0.701464
6	train	H1	H07	100	100	50	48	52	0.927778	-0.865794	-0.97893	-0.981518	0.978422	1.496045	0.971629	-0.981518	0.97893	0.371588	0.963377	0.815395	0.749017	0.616137	0.573804	0.893504
6	train	H0	H07	150	150	50	50.666667	54	0.168571	0.163083	-0.519033	-0.517957	2.050489	5.25331	2.257116	0.168571	0.519033	0.154161	0.268279	0.026431	0.026574	1.372578	1.425662	-0.164696
6	train	H1	H07	150	150	50	50.666667	50.666667	0.128978	0.204807	-0.52079	-0.521757	2.251598	2.413083	2.273336	-0.521757	0.52079	0.320886	0.272231	0.00212	0.041921	1.453537	1.476964	-0.209806
6	train	H0	H07	200	200	50	55.5	48	-0.83452	0.75595	0.900784	0.900154	0.848801	0.92246	0.844294	0.900154	0.900784	0.436649	0.810277	0.691641	0.57114	0.817469	0.824027	-0.777865
6	train	H1	H07	200	200	50	51.5	52	0.332807	-0.411709	-0.273247	-0.27287	0.1335	0.8987	0.155446	-0.27287	0.411709	0.668658	0.074458	0.102714	0.169404	0.000424	0.000057	0.427991
6	train	H0	H07	300	300	50	55	50.333333	-1.18506	1.028181	1.391935	1.392348	2.517474	2.638926	2.490186	1.392348	1.391935	0.285792	1.938633	1.363551	1.057676	2.614098	2.567362	-1.067399
6	train	H1	H07	300	300	50	50.333333	51	0.911759	-0.943041	-0.819734	-0.820168	0.958386	2.230231	0.909555	-0.820168	0.943041	0.326439	0.672676	0.92947	0.88953	0.153637	0.175222	0.981311
6	train	H0	H07	500	500	50	44.6	49	1.637914	-1.717067	-1.417635	-1.416634	3.003015	3.10172	3.053998	1.637914	1.717067	0.076183	2.006852	2.604153	2.947985	0.369722	0.38417	1.773275
6	train	H1	H07	500	500	50	52.2	48	0.316506	-0.044122	-0.615519	-0.62038	1.630475	2.110723	1.708765	-0.62038	0.615519	0.425546	0.384871	0.084653	0.001949	1.236901	1.252036	0.039485
6	train	H0	H07	1,000	1,000	50	48.8	51.7	1.833748	-1.995314	-1.535093	-1.534314	4.175688	4.596648	4.245148	1.833748	1.995314	0.038516	2.35412	3.455065	3.982382	0.26907	0.243341	2.069319
6	train	H1	H07	1,000	1,000	50	47.7	48.5	2.218152	-1.808357	-2.775019	-2.796655	11.6991	12.924969	11.415286	-2.796655	2.775019	0.00332	7.821282	4.707601	3.27473	11.28489	11.230362	1.86465
6	train	H0	H08	20	20	0	0	0	-1.109054	1.109054	0.903491	0.887413	1.128399	2.076946	1.266877	-1.109054	1.109054	0.26136	0.787501	1.044382	1.22925	0.181077	0.154307	-1.123182
6	train	H1	H08	20	20	0	0	0	-1.433655	1.433655	0.704267	0.694655	3.568162	3.477223	3.572718	-1.433655	1.433655	0.146524	0.482546	1.39587	2.073445	0.128019	0.066276	-1.451919
6	train	H0	H08	30	30	0	0	0	1.774131	-1.774131	-1.412704	-1.411141	3.160176	4.038241	3.292401	1.774131	1.774131	0.073598	1.99132	2.845783	3.186722	0.444194	0.452061	1.789103
6	train	H1	H08	30	30	0	0	0	-0.842712	0.842712	1.130451	1.13551	1.506137	2.736071	1.429716	-0.842712	1.130451	0.395423	1.289382	0.93895	0.70935	1.518664	1.405088	-0.849824
6	train	H0	H08	50	50	0	0	0	1.654517	-1.654517	-1.500837	-1.5029	2.556544	4.043855	2.757114	-1.5029	1.654517	0.096342	2.258709	2.566658	2.74796	0.875908	0.815423	1.662852
6	train	H1	H08	50	50	0	0	0	0.634231	-0.634231	-1.471463	-1.498454	3.89894	5.076954	4.577071	-1.498454	1.471463	0.101415	2.245364	1.124808	0.402516	4.228029	4.325425	0.637427
6	train	H0	H08	75	75	0	0	0	0.129676	-0.129676	-0.176903	-0.17526	0.053228	0.214456	0.032928	-0.17526	0.176903	0.897168	0.030716	0.012021	0.016795	0.025452	0.015238	0.12924
6	train	H1	H08	75	75	0	0	0	-0.877663	0.877663	-0.944535	-0.96565	10.909284	17.293991	14.92106	-0.96565	0.944535	0.000575	0.93248	0.000524	0.777897	8.460907	8.730658	-0.874713
6	train	H0	H08	100	100	0	0	0	-0.811205	0.811205	0.161549	0.160423	1.46742	1.530433	1.88349	-0.811205	0.811205	0.389947	0.025735	0.288494	0.658247	0.308558	0.287491	-0.813241
6	train	H1	H08	100	100	0	0	0	0.232122	-0.232122	-0.733164	-0.731612	1.250065	1.382043	1.237558	-0.731612	0.733164	0.538602	0.535256	0.173115	0.053819	1.068188	1.049113	0.232704
6	train	H0	H08	150	150	0	0	0	0.48852	-0.48852	-0.636692	-0.63544	0.474397	1.662137	0.421896	-0.63544	0.636692	0.624604	0.403784	0.279113	0.238366	0.353129	0.300228	0.489336
6	train	H1	H08	150	150	0	0	0	-0.404659	0.404659	-0.639705	-0.646337	6.239708	10.333013	4.669973	-0.404659	0.639705	0.015938	0.417752	0.010204	0.16365	2.619968	2.440084	-0.405336
6	train	H0	H08	200	200	0	0	0	-3.022117	3.022117	2.307725	2.316885	9.413199	10.231972	9.60495	-3.022117	3.022117	0.002479	5.367955	8.196431	9.194117	0.690127	0.702561	-3.025902
6	train	H1	H08	200	200	0	0	0	-0.796614	0.796614	-0.173416	-0.173118	3.087825	3.748512	3.708315	-0.796614	0.796614	0.156585	0.02997	0.178305	0.634905	1.307164	1.288124	-0.797612
6	train	H0	H08	300	300	0	0	0	-0.99572	0.99572	0.505293	0.503761	1.093026	2.039533	1.515833	-0.99572	0.99572	0.318983	0.253775	0.616449	0.991411	0.014547	0.020769	-0.996551
6	train	H1	H08	300	300	0	0	0	1.088038	-1.088038	-1.687249	-1.693913	3.658401	3.832764	3.50449	-1.693913	1.687249	0.173384	2.869342	1.728628	1.183727	3.437609	3.36334	1.088946
6	train	H0	H08	500	500	0	0	0	1.87337	-1.87337	-1.581917	-1.582739	3.420073	4.96969	3.520123	1.87337	1.87337	0.060888	2.505063	3.353667	3.512139	0.773544	0.733963	1.874308
6	train	H1	H08	500	500	0	0	0	0.220074	-0.220074	-1.344973	-1.351651	6.596233	7.338557	5.679056	0.220074	1.344973	0.058453	1.82696	0.34048	0.048421	4.638424	4.530057	0.220185
6	train	H0	H08	1,000	1,000	0	0	0	0.103847	-0.103847	-0.658366	-0.658137	1.064859	0.866355	1.312024	-0.658137	0.658366	0.518917	0.433145	0.13287	0.010783	1.063915	1.029918	0.103873
6	train	H1	H08	1,000	1,000	0	0	0	0.632068	-0.632068	-2.182716	-2.194406	11.944655	12.513386	11.61815	-2.194406	2.182716	0.003	4.815418	1.444785	0.399519	10.307232	10.296849	0.632226

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