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	H16	75	75	30	30.666667	36	1.128744	-1.125392	-1.088505	-1.087923	1.318449	1.731987	1.277946	1.128744	1.125392	0.251153	1.183575	1.354024	1.266732	0.534685	0.570873	1.147555
3	train	H1	H16	75	75	30	37.333333	25.333333	-0.323963	0.123924	0.923457	0.925078	3.312468	3.769093	3.438311	0.925078	0.923457	0.179217	0.855768	0.197999	0.015339	2.789447	2.775848	-0.128892
3	train	H0	H16	100	100	30	23	39	1.905715	-1.806681	-2.044064	-2.049131	4.201915	5.829827	4.201369	-2.049131	2.044064	0.061738	4.198936	3.969004	3.265857	2.95654	3.139657	1.868169
3	train	H1	H16	100	100	30	25	32	0.905016	-0.846494	-1.026609	-1.021995	1.08986	1.380124	1.062603	-1.021995	1.026609	0.385617	1.044473	0.790386	0.716481	0.777097	0.752948	0.867592
3	train	H0	H16	150	150	30	37.333333	26	-0.234849	0.02993	0.835094	0.831353	2.423022	4.838988	2.88419	0.831353	0.835094	0.183974	0.691147	0.139188	0.000895	2.344519	2.485682	-0.031994
3	train	H1	H16	150	150	30	24	28	-1.045244	1.125888	0.587463	0.586852	1.805907	3.39142	2.192249	0.586852	1.125888	0.249589	0.344395	0.774995	1.268095	0.040134	0.042846	-1.151349
3	train	H0	H16	200	200	30	28.5	29	0.160728	-0.170403	-0.12657	-0.126658	0.076873	0.774097	0.030276	-0.126658	0.170403	0.855652	0.016042	0.05133	0.02903	0.003543	0.002034	0.174236
3	train	H1	H16	200	200	30	31.5	26	-1.161925	1.173209	1.007589	1.006125	1.248733	3.271917	1.404019	-1.161925	1.173209	0.230861	1.012287	1.156473	1.377288	0.316378	0.276907	-1.198145
3	train	H0	H16	300	300	30	27.333333	31.333333	1.016212	-0.919293	-1.277582	-1.275759	1.756417	2.938281	1.851057	-1.275759	1.277582	0.346469	1.627561	1.251259	0.844924	1.677784	1.818926	0.94146
3	train	H1	H16	300	300	30	26	29.666667	-0.361456	0.486233	-0.240985	-0.240851	1.947387	5.944164	2.726756	-0.240851	0.486233	0.114359	0.058009	0.009349	0.236432	1.113825	1.133001	-0.493485
3	train	H0	H16	500	500	30	33.4	28.6	-0.193945	0.027215	0.744201	0.743125	2.568483	2.595354	2.561237	-0.193945	0.744201	0.277865	0.552235	0.088246	0.00074	1.96876	2.007651	-0.028876
3	train	H1	H16	500	500	30	27.8	31.8	1.515926	-1.344709	-2.039924	-2.042929	5.02153	9.178543	5.457228	-2.042929	2.039924	0.027009	4.173557	2.995068	1.809662	5.352026	5.495328	1.373242
3	train	H0	H16	1,000	1,000	30	30.2	27.6	-1.015337	1.013965	0.906667	0.907012	1.056876	1.146185	1.042134	-1.015337	1.013965	0.299945	0.822671	1.000837	1.02798	0.284046	0.294604	-1.036552
3	train	H1	H16	1,000	1,000	30	26.9	28.8	-0.438432	0.693631	-0.745434	-0.745289	9.799295	9.348158	9.968133	-0.745289	0.745434	0.006846	0.555456	0.021823	0.481128	5.187328	5.098636	-0.705701
3	train	H0	H16	20	20	40	60	45	0.021771	-0.055944	0.041018	0.040997	0.072121	0.086519	0.070743	0.021771	0.055944	0.962327	0.001681	0.00003	0.001403	0.156377	0.161944	0.047233
3	train	H1	H16	20	20	40	55	40	-1.729344	1.67958	1.665969	1.70359	3.033317	4.877319	3.061452	-1.729344	1.67958	0.075425	2.902217	2.866942	2.862893	1.823817	1.788426	-1.777869
3	train	H0	H16	30	30	40	53.333333	36.666667	0.191075	-0.423166	0.188124	0.186694	1.532768	1.709079	1.572597	0.186694	0.423166	0.455528	0.034855	0.042548	0.180112	0.884894	0.844646	0.426201
3	train	H1	H16	30	30	40	43.333333	40	-0.727463	0.659551	0.922044	0.941268	1.462132	2.240825	1.509219	0.941268	0.922044	0.470194	0.885986	0.659032	0.435348	1.922985	1.965316	-0.672238
3	train	H0	H16	50	50	40	36	38	1.491266	-1.481303	-1.32362	-1.336777	2.415693	3.184345	2.317772	-1.336777	1.481303	0.126367	1.786972	2.220781	2.204345	0.472648	0.544359	1.528585
3	train	H1	H16	50	50	40	40	40	0.392442	-0.294248	-0.566899	-0.567694	0.548128	1.172049	0.597497	-0.567694	0.566899	0.741746	0.322276	0.182777	0.086419	0.402931	0.435235	0.310468
3	train	H0	H16	75	75	40	41.333333	37.333333	0.867609	-1.270425	-0.123853	-0.123495	4.324366	13.629103	5.708502	0.867609	1.270425	0.003456	0.015251	0.530466	1.622946	1.228738	1.557708	1.294443
3	train	H1	H16	75	75	40	44	44	-0.413838	0.583139	0.043294	0.043547	2.070773	3.59015	1.856016	0.043547	0.583139	0.309257	0.001896	0.18595	0.340095	0.464862	0.366021	-0.59602
3	train	H0	H16	100	100	40	40	41	1.197447	-1.233352	-0.928953	-0.9308	2.042563	2.49736	1.901634	1.197447	1.233352	0.203572	0.866388	1.439128	1.523762	0.046944	0.062563	1.27144
3	train	H1	H16	100	100	40	37	38	0.727223	-0.719661	-0.709611	-0.70849	0.519611	0.903258	0.53201	-0.70849	0.719661	0.456535	0.501958	0.495065	0.51787	0.185159	0.17382	0.744565
3	train	H0	H16	150	150	40	30.666667	38.666667	-0.559475	0.535758	0.581272	0.58477	0.343163	0.608619	0.342537	0.58477	0.581272	0.577945	0.341956	0.282742	0.287621	0.281787	0.276036	-0.556389
3	train	H1	H16	150	150	40	30	36	-0.294938	0.497899	-0.466653	-0.466846	5.107958	6.314345	5.614428	-0.466846	0.497899	0.060373	0.217945	0.00538	0.24795	2.688713	2.755689	-0.496872
3	train	H0	H16	200	200	40	41.5	40	0.619521	-0.664481	-0.505727	-0.506902	0.464189	0.541054	0.473413	-0.506902	0.664481	0.497281	0.25695	0.3585	0.441667	0.020847	0.017476	0.678774
3	train	H1	H16	200	200	40	38.5	45.5	0.817461	-0.535086	-1.376407	-1.375718	4.832089	4.975877	4.719928	-1.375718	1.376407	0.094424	1.892599	0.67354	0.286136	4.203119	4.294537	0.554244
3	train	H0	H16	300	300	40	40	45.333333	-0.198901	0.392928	-0.165535	-0.16546	1.65124	1.712068	1.643884	-0.16546	0.392928	0.439577	0.027377	0.037822	0.154434	0.654276	0.654174	-0.4028
3	train	H1	H16	300	300	40	44.666667	41.666667	-0.97565	1.079448	0.7525	0.751591	1.464058	1.944726	1.346722	-0.97565	1.079448	0.267927	0.564889	1.0689	1.16517	0.021291	0.02586	-1.107848
3	train	H0	H16	500	500	40	39.8	41.6	0.552447	-0.427728	-0.832709	-0.831925	1.284635	1.366686	1.332884	-0.831925	0.832709	0.513533	0.6921	0.373302	0.182811	1.195999	1.205027	0.442733
3	train	H1	H16	500	500	40	40.6	37.2	-1.903721	2.209003	1.082766	1.08589	8.449362	10.008779	9.030909	-1.903721	2.209003	0.010939	1.179157	3.156725	4.888826	0.453926	0.449711	-2.276205
3	train	H0	H16	1,000	1,000	40	43.5	39.7	-1.862421	1.654755	2.128691	2.129325	4.798707	4.966126	4.829711	2.129325	2.128691	0.087624	4.534025	3.551497	2.738737	4.374919	4.430315	-1.708065
3	train	H1	H16	1,000	1,000	40	40.4	39.5	-1.411136	1.737884	0.592656	0.592447	6.878417	15.952203	8.207096	-1.411136	1.737884	0.00116	0.350993	1.419297	3.020747	1.114988	1.149161	-1.78643

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