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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3	train	H0	H09	75	75	40	37.333333	44	-0.855402	0.802461	1.135133	1.149087	2.094657	4.959506	1.816708	1.149087	1.135133	0.174786	1.3204	0.733282	0.651148	1.918755	1.736701	-0.877921
3	train	H1	H09	75	75	40	52	28	-1.889456	1.758156	1.93276	1.920324	3.790385	4.523371	3.741917	-1.889456	1.93276	0.061243	3.687644	3.71579	3.102494	2.281231	2.364644	-1.871735
3	train	H0	H09	100	100	40	43	33	-1.200454	1.173851	1.041532	1.033839	1.488062	1.528486	1.473564	-1.200454	1.173851	0.207895	1.068823	1.392739	1.375192	0.304759	0.330718	-1.259374
3	train	H1	H09	100	100	40	35	45	1.923174	-1.951308	-1.767106	-1.76476	3.694254	3.670083	3.730034	1.923174	1.951308	0.037418	3.114376	3.636271	3.809129	1.057162	1.11576	2.081171
3	train	H0	H09	150	150	40	34.666667	33.333333	-0.423182	0.566493	0.079577	0.079566	0.580996	1.615874	0.822902	0.079566	0.566493	0.546611	0.006331	0.136364	0.323031	0.15731	0.180979	-0.602846
3	train	H1	H09	150	150	40	36	42.666667	1.054008	-0.851809	-1.630833	-1.633942	4.632571	5.142147	4.36275	1.054008	1.630833	0.112886	2.669768	1.256568	0.724842	4.135347	3.966283	0.916018
3	train	H0	H09	200	200	40	39.5	38	0.286407	-0.518448	0.239655	0.238434	1.637329	2.343298	1.991205	0.238434	0.518448	0.369501	0.056851	0.032957	0.268482	1.010405	1.00746	0.556389
3	train	H1	H09	200	200	40	41.5	44.5	1.248345	-1.435655	-0.924097	-0.922241	1.672266	5.760587	2.084879	1.248345	1.435655	0.123173	0.850528	1.431335	2.057679	0.019172	0.00357	1.541593
3	train	H0	H09	300	300	40	37.333333	40.333333	1.61329	-1.574228	-1.711511	-1.716319	2.958337	4.218576	2.946169	1.61329	1.711511	0.09603	2.94575	2.60955	2.476878	1.927059	1.866166	1.664412
3	train	H1	H09	300	300	40	35.666667	42.333333	1.088609	-0.8803	-1.633042	-1.632079	4.087814	4.375426	4.09047	-1.632079	1.633042	0.12935	2.663683	1.377719	0.773948	3.941406	4.127843	0.943722
3	train	H0	H09	500	500	40	43.6	41.4	0.518493	-0.963927	0.440329	0.440425	6.491703	9.474987	7.28881	0.440425	0.963927	0.023599	0.193975	0.15983	0.928954	3.330576	3.516935	1.026877
3	train	H1	H09	500	500	40	46.6	41	0.641946	-0.693222	-0.677527	-0.680471	0.469463	1.454393	0.46318	0.641946	0.693222	0.45356	0.463041	0.422315	0.478342	0.272658	0.258481	0.749494
3	train	H0	H09	1,000	1,000	40	41	38.6	0.202525	-0.332899	0.230065	0.230193	1.359112	1.36177	1.292169	0.230193	0.332899	0.524094	0.052989	0.021932	0.110521	0.689052	0.67063	0.35693
3	train	H1	H09	1,000	1,000	40	40.5	37.7	-0.554077	0.547033	0.118144	0.118183	1.9364	2.990343	1.459508	-0.554077	0.547033	0.393117	0.013967	0.286197	0.299897	0.330213	0.305416	-0.587655
3	train	H0	H09	20	20	50	40	65	0.454321	-0.456143	-0.37737	-0.381954	0.304904	1.846279	0.252642	-0.381954	0.456143	0.604916	0.145889	0.204753	0.191617	0.000697	0.004129	0.467759
3	train	H1	H09	20	20	50	40	40	0.894749	-1.038737	-0.576411	-0.560319	1.28609	1.290901	1.256265	0.894749	1.038737	0.253349	0.313958	0.749977	1.068915	0.038433	0.00847	1.142253
3	train	H0	H09	30	30	50	53.333333	50	-1.153761	1.106863	1.021437	1.013945	1.524569	2.795651	1.407467	-1.153761	1.106863	0.205554	1.028085	1.462045	1.25659	0.23312	0.481578	-1.265885
3	train	H1	H09	30	30	50	46.666667	60	0.208326	-0.147328	-0.45754	-0.447465	0.865625	3.15676	0.70046	-0.447465	0.45754	0.368082	0.200225	0.022667	0.01278	0.503391	0.276953	0.154414
3	train	H0	H09	50	50	50	48	54	0.078913	-0.167983	0.057612	0.057176	0.173788	0.688227	0.2106	0.078913	0.167983	0.856571	0.003269	0.003664	0.026538	0.187808	0.213475	0.180741
3	train	H1	H09	50	50	50	50	44	0.2258	-0.354111	-0.152025	-0.15026	0.050856	1.292438	0.094353	0.2258	0.354111	0.708238	0.022578	0.059942	0.121867	0.029448	0.065043	0.374223
3	train	H0	H09	75	75	50	45.333333	50.666667	0.42538	-0.073172	-0.881523	-0.877444	2.235202	3.482925	2.447457	-0.877444	0.881523	0.294131	0.769908	0.196277	0.004606	1.878949	1.94704	0.084731
3	train	H1	H09	75	75	50	44	56	0.782612	-0.523836	-1.370523	-1.376151	5.377392	6.154151	5.495377	-1.376151	1.370523	0.064076	1.893792	0.785285	0.262429	4.971936	5.15606	0.562834
3	train	H0	H09	100	100	50	54	47	-1.306105	1.36466	1.013473	1.007151	2.392242	2.722086	2.232119	-1.306105	1.36466	0.136213	1.014354	1.754876	1.876317	0.034683	0.092406	-1.490044
3	train	H1	H09	100	100	50	54	55	0.47189	-0.419269	-0.268425	-0.268264	0.940752	9.465538	0.670257	0.47189	0.419269	0.023701	0.071966	0.242788	0.173951	0.044588	0.014469	0.451698
3	train	H0	H09	150	150	50	48	58	2.22345	-2.045015	-2.397862	-2.438354	6.188141	7.276409	6.135834	-2.438354	2.397862	0.027321	5.94557	4.942701	4.18332	4.850682	4.787139	2.206903
3	train	H1	H09	150	150	50	50	43.333333	0.473698	-0.433449	-0.623028	-0.629354	0.581063	1.084885	0.531063	-0.629354	0.623028	0.638196	0.396086	0.23385	0.187235	0.431356	0.414304	0.470223
3	train	H0	H09	200	200	50	50	54.5	0.174336	-0.134175	-0.236559	-0.235532	0.075841	0.230415	0.080948	-0.235532	0.236559	0.885449	0.055475	0.027078	0.017664	0.049376	0.068707	0.144065
3	train	H1	H09	200	200	50	51.5	48	-0.055347	-0.196471	0.362539	0.361105	0.706387	2.276865	0.870775	0.361105	0.362539	0.516967	0.130397	0.003313	0.038339	0.68886	0.796746	0.211756
3	train	H0	H09	300	300	50	52.333333	53.666667	0.623172	-0.990128	0.000583	0.000586	4.286821	4.255938	4.19063	0.000586	0.990128	0.123032	0	0.430906	0.975967	1.427748	1.352828	1.077405
3	train	H1	H09	300	300	50	53.333333	43.666667	-0.097266	-0.114042	0.256505	0.25678	0.146148	1.330415	0.245366	0.25678	0.256505	0.721924	0.065936	0.011062	0.012491	0.255897	0.282342	0.125004
3	train	H0	H09	500	500	50	49.2	54.6	0.495455	-0.277933	-0.726986	-0.726093	0.817986	0.79004	0.840921	0.495455	0.726986	0.656744	0.527211	0.228173	0.076728	0.760453	0.743387	0.303147
3	train	H1	H09	500	500	50	53.8	51.2	1.227078	-1.604141	-0.919036	-0.925882	1.82734	4.996955	2.189971	-0.925882	1.604141	0.080004	0.857257	1.528365	2.573058	0.007164	0.006463	1.750663
3	train	H0	H09	1,000	1,000	50	49.9	52.5	0.235446	-0.151308	-0.267111	-0.266903	0.071321	0.10551	0.074038	-0.266903	0.267111	0.870112	0.071237	0.052506	0.022607	0.052904	0.048026	0.163516
3	train	H1	H09	1,000	1,000	50	49.1	46.3	-0.891638	0.735008	0.566248	0.566574	2.188981	8.280853	1.436858	-0.891638	0.735008	0.04055	0.321006	0.818755	0.540639	0.026658	0.012909	-0.799298

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