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	H28	30	30	10	3.333333	6.666667	2.009658	-2.008823	-1.983731	-2.047241	4.242072	7.134684	4.344232	2.009658	2.008823	0.042095	4.191197	4.150815	4.094842	2.300081	2.196608	2.032578
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5	train	H0	H28	75	75	30	24	29.333333	0.658271	-0.683867	-0.531356	-0.527046	0.371673	2.247462	0.486292	0.658271	0.683867	0.48797	0.277777	0.319974	0.466973	0.024854	0.006277	0.693541
5	train	H1	H28	75	75	30	26.666667	32	1.28676	-1.318941	-1.049247	-1.046734	1.720425	2.177672	1.863398	-1.046734	1.318941	0.178918	1.095651	1.419209	1.739319	0.159775	0.168239	1.344093
5	train	H0	H28	100	100	30	30	29	0.198974	-0.287061	0.148994	0.148578	1.051483	1.184948	0.992033	0.198974	0.287061	0.608952	0.022075	0.016977	0.08225	0.495679	0.451302	0.291541
5	train	H1	H28	100	100	30	23	30	0.578889	-0.591651	-0.777285	-0.774527	1.143526	12.260257	0.733678	0.578889	0.777285	0.006543	0.599891	0.253126	0.349979	0.7557	0.615943	0.607513
5	train	H0	H28	150	150	30	32.666667	35.333333	-0.176457	0.281948	-0.091071	-0.090826	0.383914	2.850254	0.555356	-0.090826	0.281948	0.415294	0.008249	0.012102	0.079416	0.201243	0.26808	-0.290241
5	train	H1	H28	150	150	30	28.666667	32	0.745918	-0.839155	-0.354974	-0.353993	0.971728	5.202101	1.485253	0.745918	0.839155	0.157583	0.125311	0.301658	0.703883	0.112252	0.133777	0.862495
5	train	H0	H28	200	200	30	32	27	-0.874952	0.872227	0.844764	0.843783	0.757144	1.019543	0.772259	0.843783	0.872227	0.370702	0.711969	0.771538	0.760584	0.378144	0.358933	-0.895159
5	train	H1	H28	200	200	30	35	27.5	-2.073967	2.030111	2.039724	2.044763	4.514474	6.066604	4.386976	-2.073967	2.039724	0.036689	4.181058	4.591436	4.131445	2.171429	2.253361	-2.089207
5	train	H0	H28	300	300	30	28.666667	30.666667	0.331348	-0.21527	-0.762443	-0.762835	1.717965	1.682611	1.712495	-0.762835	0.762443	0.424753	0.581918	0.187567	0.046315	1.37167	1.368326	0.221848
5	train	H1	H28	300	300	30	27	35	1.477634	-1.390242	-1.794887	-1.793829	3.827985	7.215437	3.506693	-1.793829	1.794887	0.065339	3.217822	2.093839	1.932532	3.265438	3.19346	1.433873
5	train	H0	H28	500	500	30	26.4	28.4	-0.067865	0.146713	-0.386249	-0.386347	1.585782	1.911032	1.43095	-0.386347	0.386249	0.48896	0.149264	0.000863	0.02152	0.829336	0.7876	-0.150396
5	train	H1	H28	500	500	30	29.6	30	-1.229707	1.146803	1.439739	1.444131	2.095831	3.52207	2.18553	-1.229707	1.439739	0.238634	2.085515	2.00014	1.316993	1.899164	1.895546	-1.178408
5	train	H0	H28	1,000	1,000	30	30	29.4	0.013145	-0.113696	0.313991	0.313873	0.679866	1.245769	0.821126	0.313873	0.313991	0.663277	0.098516	0.007257	0.012925	0.53625	0.546323	0.115901
5	train	H1	H28	1,000	1,000	30	31.4	30.3	-0.9359	0.712833	1.501668	1.503962	3.017382	13.175666	3.921541	-0.9359	1.501668	0.004272	2.261902	1.557878	0.508561	3.766604	3.882463	-0.733621
5	train	H0	H28	20	20	40	35	35	0.907246	-0.893869	-0.899101	-0.89096	0.82234	1.102908	0.832413	-0.89096	0.899101	0.350831	0.79381	0.802694	0.800381	0.229115	0.188102	0.932978
5	train	H1	H28	20	20	40	55	40	-0.602532	0.180764	0.880099	0.874943	1.355219	7.945398	1.598342	-0.602532	0.880099	0.047154	0.765526	0.310792	0.032667	1.527981	1.932502	-0.227119
5	train	H0	H28	30	30	40	36.666667	30	-1.044238	1.117446	0.718658	0.714575	1.779454	1.864591	1.826998	-1.044238	1.117446	0.247214	0.510618	0.923456	1.24973	0.003989	0.007095	-1.157143
5	train	H1	H28	30	30	40	43.333333	36.666667	-0.605784	0.541311	0.716008	0.710469	0.533877	1.591125	0.565559	-0.605784	0.716008	0.572679	0.504766	0.450938	0.29161	0.783441	0.940901	-0.56411
5	train	H0	H28	50	50	40	40	46	1.069309	-0.681799	-1.794098	-1.871515	11.24098	11.215443	11.182507	-1.871515	1.794098	0.00373	3.502567	1.382645	0.470592	9.404033	9.197414	0.75136
5	train	H1	H28	50	50	40	50	42	-1.243413	1.18507	1.095339	1.082736	1.793117	3.250154	1.641111	-1.243413	1.18507	0.214727	1.172316	1.535866	1.406237	0.231987	0.474003	-1.240672
5	train	H0	H28	75	75	40	45.333333	41.333333	-0.14614	-0.016026	0.048032	0.047775	0.267231	5.697327	0.095912	-0.14614	0.048032	0.127301	0.002282	0.014052	0.000257	0.017709	0.000003	0.02262
5	train	H1	H28	75	75	40	38.666667	46.666667	0.519768	-0.497892	-0.481393	-0.479432	0.238106	3.329996	0.2747	0.519768	0.497892	0.343489	0.229855	0.182627	0.247592	0.075155	0.062042	0.513356
5	train	H0	H28	100	100	40	47	38	-1.007621	0.849281	1.305512	1.303026	2.544589	4.253787	2.402263	1.303026	1.305512	0.235332	1.697876	0.983301	0.72073	2.599792	2.468501	-0.886342
5	train	H1	H28	100	100	40	38	47	1.016872	-1.044766	-0.887439	-0.883175	1.137949	1.172424	1.117476	1.016872	1.044766	0.276369	0.779999	1.025503	1.089844	0.157338	0.156479	1.088512
5	train	H0	H28	150	150	40	32.666667	40.666667	1.555179	-1.300816	-2.020995	-2.031869	5.681366	5.855896	5.699347	-2.031869	2.020995	0.057863	4.128493	2.604255	1.692519	5.515904	5.572444	1.337138
5	train	H1	H28	150	150	40	33.333333	40	0.186273	-0.211578	-0.125414	-0.125341	0.02209	2.371849	0.059314	-0.125341	0.211578	0.498896	0.01571	0.011549	0.044789	0.003863	0.010574	0.219382
5	train	H0	H28	200	200	40	42	40	-0.46986	0.533593	0.348994	0.348288	0.388858	0.798968	0.340188	0.348288	0.533593	0.584869	0.121304	0.258946	0.284489	0.007384	0.011182	-0.546287
5	train	H1	H28	200	200	40	38.5	40	0.101835	-0.094016	-0.022334	-0.022269	0.066852	0.098768	0.061448	-0.022269	0.094016	0.922499	0.000496	0.003717	0.008832	0.025429	0.018547	0.097287
5	train	H0	H28	300	300	40	37.333333	39.666667	-0.342959	0.449949	0.085085	0.084963	0.69062	0.742997	0.670406	0.084963	0.449949	0.641145	0.007219	0.109419	0.202396	0.120258	0.123468	-0.466099
5	train	H1	H28	300	300	40	37.666667	40.666667	0.04574	-0.189045	0.154637	0.15469	0.131808	6.838467	0.374454	0.04574	0.189045	0.077229	0.023929	0.008361	0.035745	0.219103	0.267477	0.196734
5	train	H0	H28	500	500	40	43.2	36	-1.484258	1.137364	2.172244	2.17477	7.946132	8.577825	8.015093	2.17477	2.172244	0.018178	4.729626	2.373633	1.293288	7.906138	8.080189	-1.177671
5	train	H1	H28	500	500	40	37.8	39.8	1.066688	-1.451422	-0.055609	-0.055639	8.60734	10.158415	9.902996	-0.055639	1.451422	0.007073	0.003096	0.704467	2.107511	2.654356	2.603944	1.504544
5	train	H0	H28	1,000	1,000	40	38.9	41	0.189071	0.065071	-0.688871	-0.688924	2.515795	3.487376	2.706522	-0.688924	0.688871	0.258396	0.474617	0.05514	0.004234	1.909673	1.987377	-0.067024
5	train	H1	H28	1,000	1,000	40	40.3	42.7	0.555675	-0.902899	0.124921	0.12507	3.383241	19.003886	4.817526	0.555675	0.902899	0.000273	0.015642	0.103128	0.815616	1.637135	1.726636	0.940055

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