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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1	train	H0	H28	20	20	40	45	20	-1.887462	1.896348	1.814105	1.804319	3.539028	3.656147	3.56499	-1.887462	1.896348	0.051673	3.255568	3.549945	3.608798	1.786834	1.891957	-1.945848
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1	train	H1	H28	300	300	40	40.666667	43	2.646749	-3.001125	-1.792011	-1.795719	11.233983	15.016061	12.234543	2.646749	3.001125	0.001732	3.224605	6.328274	9.042455	0.00286	0.004737	3.132685
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1	train	H1	H29	75	75	0	0	0	-0.358959	0.358959	0.75417	0.750375	0.859612	0.824709	0.93607	-0.358959	0.75417	0.626232	0.563063	0.315516	0.128829	0.979265	0.923519	-0.357752
1	train	H0	H29	100	100	0	0	0	2.497143	-2.497143	-2.214375	-2.232406	6.496736	6.908731	6.302874	-2.232406	2.497143	0.0123	4.983636	6.381062	6.294253	2.037404	2.102978	2.50341
1	train	H1	H29	100	100	0	0	0	0.386055	-0.386055	0.176932	0.175839	0.691487	2.632019	1.237627	0.175839	0.386055	0.451904	0.030919	0.009523	0.148908	0.526733	0.619836	0.387024
1	train	H0	H29	150	150	0	0	0	1.146091	-1.146091	-1.370462	-1.371046	1.943417	2.378291	1.890601	1.146091	1.370462	0.250966	1.879768	1.491841	1.313182	1.466656	1.407544	1.148006
1	train	H1	H29	150	150	0	0	0	0.555076	-0.555076	0.106236	0.105777	0.984128	2.473603	1.731393	0.555076	0.555076	0.420758	0.011189	0.045725	0.308285	0.570724	0.642839	0.556003
1	train	H0	H29	200	200	0	0	0	1.073397	-1.073397	-1.034594	-1.031758	1.274762	1.383753	1.192465	-1.031758	1.073397	0.282491	1.064525	1.285152	1.152195	0.498114	0.492237	1.074741
1	train	H1	H29	200	200	0	0	0	3.712344	-3.712344	-3.390256	-3.447887	13.150266	14.925751	14.033823	3.712344	3.712344	0.000202	11.887922	13.125466	13.90052	5.30488	5.258121	3.716993
1	train	H0	H29	300	300	0	0	0	0.862423	-0.862423	-0.611887	-0.611315	0.992026	1.093447	0.821677	0.862423	0.862423	0.388059	0.373706	0.690008	0.743491	0.034175	0.031592	0.863143
1	train	H1	H29	300	300	0	0	0	2.631074	-2.631074	-3.004408	-3.063493	10.162028	22.556073	9.408668	2.631074	3.004408	0.00005	9.38499	7.083535	6.940677	7.466688	7.294517	2.633269
1	train	H0	H29	500	500	0	0	0	-0.745187	0.745187	0.702583	0.701338	0.504557	1.159176	0.567428	-0.745187	0.745187	0.455933	0.491875	0.508292	0.555164	0.234226	0.2168	-0.74556
1	train	H1	H29	500	500	0	0	0	2.619871	-2.619871	-0.997357	-0.9975	7.61316	17.545163	13.491748	2.619871	2.619871	0.000546	0.995006	3.290348	6.885485	0.644567	0.70728	2.621182
1	train	H0	H29	1,000	1,000	0	0	0	-0.480362	0.480362	0.295956	0.295623	0.173086	0.119762	0.289183	-0.480362	0.480362	0.630884	0.087393	0.134	0.230711	0.001636	0.003139	-0.480482
1	train	H1	H29	1,000	1,000	0	0	0	2.547399	-2.547399	-0.157785	-0.158061	12.355869	36.229293	23.628183	2.547399	2.547399	0	0.024983	1.810849	6.504575	4.762516	4.947287	2.548036
1	train	H0	H29	20	20	10	10	15	0.123255	-0.111391	-0.323161	-0.315051	0.303241	0.569721	0.238405	0.123255	0.323161	0.887628	0.099257	0.026417	0.012294	0.142947	0.091597	0.125681
1	train	H1	H29	20	20	10	10	5	1.601939	-1.61069	-1.133464	-1.142879	3.302247	3.486402	3.148199	-1.142879	1.61069	0.104479	1.306173	2.169421	2.615626	0.085599	0.145331	1.623515
1	train	H0	H29	30	30	10	6.666667	6.666667	0.46631	-0.47419	-0.097723	-0.096351	0.557686	1.196403	0.729058	0.46631	0.47419	0.635422	0.009284	0.090111	0.223886	0.158289	0.175312	0.474109
1	train	H1	H29	30	30	10	6.666667	3.333333	2.007884	-2.021193	-1.555902	-1.577389	4.260259	4.658463	4.357689	-1.577389	2.021193	0.040771	2.488155	3.637396	4.145336	0.527443	0.580783	2.045847
1	train	H0	H29	50	50	10	12	4	-1.82662	1.806447	2.124676	2.170556	5.011245	8.587641	4.829352	-1.82662	2.124676	0.035307	4.711312	3.773584	3.276464	4.502122	4.308279	-1.828404
1	train	H1	H29	50	50	10	12	8	0.757102	-0.809233	0.181681	0.181105	3.489904	7.954232	4.555526	0.181105	0.809233	0.046967	0.032799	0.12191	0.655227	1.349926	1.533552	0.814415
1	train	H0	H29	75	75	10	8	12	0.362918	-0.37272	-0.013327	-0.013228	0.743252	1.218825	0.613212	0.362918	0.37272	0.71131	0.000175	0.069021	0.138634	0.182667	0.132565	0.370097
1	train	H1	H29	75	75	10	9.333333	13.333333	0.954096	-1.019275	-0.368141	-0.367145	0.945835	12.064582	2.147964	0.954096	1.019275	0.007165	0.134796	0.387309	1.041343	0.141481	0.261115	1.030111
1	train	H0	H29	100	100	10	5	5	-1.077776	1.082213	0.796594	0.792174	1.206806	1.265927	1.279891	-1.077776	1.082213	0.277377	0.627539	0.976206	1.171164	0.085404	0.092728	-1.08623
1	train	H1	H29	100	100	10	8	9	2.896061	-2.933179	-2.287695	-2.310245	7.460637	15.913645	8.906747	2.896061	2.933179	0.001181	5.337232	7.030426	8.707092	1.189061	1.093262	2.964566
1	train	H0	H29	150	150	10	8.666667	15.333333	0.705525	-0.678415	-1.067649	-1.064112	1.483916	1.471665	1.464849	0.705525	1.067649	0.480742	1.132334	0.705766	0.459793	1.383222	1.370383	0.685701
1	train	H1	H29	150	150	10	10.666667	8	0.435025	-0.456822	0.167468	0.166673	1.914549	2.443316	1.678379	0.166673	0.456822	0.43206	0.02778	0.062379	0.208475	0.658705	0.547242	0.458409
1	train	H0	H29	200	200	10	12	10.5	0.87883	-0.902622	-0.460442	-0.460458	1.825737	2.735361	1.326933	-0.460458	0.902622	0.363751	0.212022	0.705798	0.815057	0.017128	0.008345	0.90824
1	train	H1	H29	200	200	10	9.5	11	0.469878	-0.485268	-0.13099	-0.130782	0.113089	6.360614	0.647206	0.469878	0.485268	0.095325	0.017104	0.034347	0.235708	0.072542	0.118111	0.48963
1	train	H0	H29	300	300	10	9.333333	10.333333	-1.177638	1.183126	1.088676	1.088551	1.258711	2.362081	1.394471	-1.177638	1.183126	0.233218	1.184944	1.261338	1.400487	0.50923	0.491466	-1.192109
1	train	H1	H29	300	300	10	9.666667	8.666667	1.315176	-1.296306	-1.351742	-1.355399	1.848825	4.113879	1.891898	-1.355399	1.351742	0.191548	1.837107	1.507936	1.68151	1.078912	1.036477	1.306012
1	train	H0	H29	500	500	10	9.6	7.6	-1.411098	1.395311	1.500646	1.500722	2.255889	2.423953	2.282231	1.500722	1.500646	0.159957	2.252167	2.052682	1.947139	1.461196	1.416655	-1.405215
1	train	H1	H29	500	500	10	9.8	10	2.605812	-2.661611	-1.271181	-1.272338	7.413698	23.64002	12.360217	2.605812	2.661611	0.00003	1.618843	3.616924	7.109061	0.223074	0.25464	2.677973
1	train	H0	H29	1,000	1,000	10	10	10.6	-0.653213	0.665272	0.524293	0.524176	0.309863	2.096435	0.444418	-0.653213	0.665272	0.503256	0.27476	0.319781	0.442542	0.060726	0.05803	-0.669376
1	train	H1	H29	1,000	1,000	10	10.6	11.3	2.007211	-2.090308	-0.270456	-0.27056	9.564112	20.765072	15.764766	2.007211	2.090308	0.000118	0.073203	1.276845	4.379408	2.886781	2.986302	2.106025

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