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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5	train	H0	H22	75	75	40	38.666667	42.666667	0.710239	-0.75202	-0.564841	-0.56113	0.580317	0.659236	0.593462	0.710239	0.75202	0.423907	0.314867	0.453042	0.529499	0.021385	0.023905	0.799662
5	train	H1	H22	75	75	40	29.333333	38.666667	0.15888	-0.027286	-0.506633	-0.503787	0.923221	0.983888	0.980042	-0.503787	0.506633	0.612614	0.253801	0.05203	0.000744	0.698397	0.642969	0.031778
5	train	H0	H22	100	100	40	43	41	1.381803	-1.514357	-0.946518	-0.945207	2.873218	3.871878	3.10026	1.381803	1.514357	0.103397	0.893415	1.710707	2.266327	0.000386	0	1.628602
5	train	H1	H22	100	100	40	36	38	0.0363	0.109032	-0.452159	-0.452038	1.449294	1.436789	1.429739	-0.452038	0.452159	0.489256	0.204339	0.012907	0.011869	0.843231	0.857502	-0.110062
5	train	H0	H22	150	150	40	38.666667	46	1.335823	-1.318873	-1.345206	-1.340864	1.816418	2.417387	1.8374	-1.340864	1.345206	0.159472	1.797917	1.720674	1.719539	0.978902	0.909438	1.40685
5	train	H1	H22	150	150	40	40.666667	42.666667	-1.304486	1.337271	1.303729	1.309443	1.74329	1.975695	1.762218	-1.304486	1.337271	0.147093	1.71464	1.731242	1.795826	1.010829	0.980885	-1.449877
5	train	H0	H22	200	200	40	37.5	49.5	1.18656	-1.108301	-1.242312	-1.242596	1.568351	2.798381	1.545448	-1.242596	1.242312	0.228378	1.544045	1.555866	1.21568	0.990246	1.107605	1.204548
5	train	H1	H22	200	200	40	36	41	-0.799708	1.190939	-0.173372	-0.172989	6.362822	7.583323	7.227852	-0.172989	1.190939	0.026946	0.029925	0.377831	1.422165	2.685893	2.664894	-1.268716
5	train	H0	H22	300	300	40	32.666667	42.333333	1.430409	-1.311833	-1.676025	-1.674872	2.882347	3.380231	2.936702	-1.674872	1.676025	0.159093	2.805196	2.324195	1.705589	2.518845	2.542345	1.408128
5	train	H1	H22	300	300	40	40.666667	41.333333	-0.938767	0.998506	0.736705	0.73832	1.173405	2.121974	1.032817	-0.938767	0.998506	0.281032	0.545117	0.849461	0.998937	0.058872	0.109642	-1.078004
5	train	H0	H22	500	500	40	40.6	40	-1.344124	1.463813	0.914119	0.913879	2.445246	4.997371	2.86047	-1.344124	1.463813	0.112425	0.835175	1.484999	2.162021	0.000003	0.000292	-1.587389
5	train	H1	H22	500	500	40	40.4	41.8	0.017023	-0.271452	0.977372	0.983069	9.30715	11.002372	8.543769	0.017023	0.977372	0.011713	0.966425	0.012055	0.073644	5.1199	4.960178	0.294539
5	train	H0	H22	1,000	1,000	40	40.7	40	0.212754	-0.337632	0.142359	0.142263	0.912037	1.004126	0.980648	0.142263	0.337632	0.612428	0.020239	0.024746	0.111904	0.446423	0.434825	0.359956
5	train	H1	H22	1,000	1,000	40	39.5	41	-1.45677	1.585883	1.539352	1.544058	2.426986	5.97523	2.384868	1.544058	1.585883	0.087549	2.384116	2.052631	2.520026	1.61929	1.607073	-1.70847
5	train	H0	H22	20	20	50	55	55	-0.050405	0.086519	-0.072767	-0.071507	0.159661	0.545511	0.182726	-0.050405	0.086519	0.866283	0.005113	0.001262	0.022675	0.009187	0.012831	-0.168382
5	train	H1	H22	20	20	50	55	50	0.168179	-0.081558	-0.346021	-0.345231	0.586013	0.570894	0.579155	-0.345231	0.346021	0.74858	0.119185	0.035422	0.003707	0.191703	0.164829	0.0767
5	train	H0	H22	30	30	50	46.666667	66.666667	0.698755	-0.881753	-0.506414	-0.508679	0.957797	1.385476	0.906226	-0.508679	0.881753	0.339838	0.258754	0.552843	0.709538	0.025029	0.006572	0.954486
5	train	H1	H22	30	30	50	43.333333	56.666667	1.912539	-2.021579	-1.742428	-1.74203	3.77916	4.294482	3.839846	1.912539	2.021579	0.024522	3.034669	3.72029	4.033589	0.814975	0.843389	2.248856
5	train	H0	H22	50	50	50	52	48	-1.48988	1.67453	1.015364	1.008952	3.559369	4.474045	3.868594	-1.48988	1.67453	0.054042	1.017984	2.064286	2.968524	0.040575	0.027012	-1.926498
5	train	H1	H22	50	50	50	48	40	-0.604885	0.395854	0.991874	0.983901	1.786553	2.001881	1.722816	-0.604885	0.991874	0.422567	0.968061	0.417766	0.168264	1.944777	1.851602	-0.473854
5	train	H0	H22	75	75	50	50.666667	56	0.360107	-0.632782	0.048243	0.048111	2.58938	2.789073	2.513741	0.048111	0.632782	0.284543	0.002315	0.156303	0.382804	0.838236	0.773745	0.671543
5	train	H1	H22	75	75	50	45.333333	45.333333	0.731562	-0.55397	-0.903173	-0.904473	0.878256	3.702251	0.998059	-0.904473	0.903173	0.295462	0.818071	0.629004	0.301087	0.86086	1.037345	0.583581
5	train	H0	H22	100	100	50	52	50	-0.700008	0.712357	0.522589	0.520553	0.765009	1.017047	0.709861	-0.700008	0.712357	0.418846	0.270975	0.489138	0.521444	0.010901	0.025689	-0.808424
5	train	H1	H22	100	100	50	44	48	-1.1109	1.25256	0.804049	0.807597	1.77621	3.461567	2.020802	0.807597	1.25256	0.184846	0.652212	1.036617	1.574794	0.002743	0.000958	-1.325982
5	train	H0	H22	150	150	50	54	52.666667	0.508101	-0.627129	-0.403952	-0.403129	0.276403	1.932748	0.344039	-0.403129	0.627129	0.492196	0.162513	0.253385	0.368208	0.01042	0.000318	0.686821
5	train	H1	H22	150	150	50	45.333333	44.666667	0.080365	-0.104881	0.15929	0.158693	0.517566	0.621731	0.486986	0.080365	0.15929	0.783885	0.025184	0.003867	0.01081	0.274273	0.270001	0.1117
5	train	H0	H22	200	200	50	46.5	49	-0.472552	0.516722	0.166775	0.166289	1.038425	1.699996	0.875708	-0.472552	0.516722	0.546461	0.027652	0.202332	0.288137	0.130864	0.076316	-0.603071
5	train	H1	H22	200	200	50	56.5	52	-1.989621	1.973948	1.972819	1.98703	4.002828	5.053642	4.029752	1.98703	1.973948	0.028631	3.948288	3.876254	3.909523	2.324363	2.367196	-2.188536
5	train	H0	H22	300	300	50	45	51.333333	1.445185	-1.568922	-1.144547	-1.143806	2.493755	2.470124	2.538597	1.445185	1.568922	0.083006	1.308293	2.050973	2.433152	0.106343	0.116246	1.733506
5	train	H1	H22	300	300	50	50.333333	48.333333	-2.679071	2.991014	2.106143	2.118619	8.840744	9.677509	9.305141	2.118619	2.991014	0.001048	4.488546	6.973985	8.976656	0.190976	0.240625	-3.277228
5	train	H0	H22	500	500	50	48.8	48.6	0.3287	-0.517669	0.098888	0.098747	1.729583	1.719049	1.694698	0.098747	0.517669	0.428549	0.009751	0.089428	0.259168	0.674626	0.597306	0.563212
5	train	H1	H22	500	500	50	46.2	50	0.046735	0.357893	-0.535684	-0.535309	1.947316	3.479286	2.299413	-0.535309	0.535684	0.31673	0.286556	0.00705	0.128278	1.456796	1.48144	-0.394655
5	train	H0	H22	1,000	1,000	50	48.4	49.7	0.373721	-0.547792	-0.051404	-0.051401	0.948241	1.696702	1.083797	0.373721	0.547792	0.547914	0.002642	0.104929	0.294744	0.299416	0.318285	0.600888
5	train	H1	H22	1,000	1,000	50	51.3	48.9	-0.595484	0.80041	0.67966	0.679965	0.610571	4.509222	0.485631	0.679965	0.80041	0.211469	0.462353	0.326319	0.641879	0.403318	0.396016	-0.883794

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