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	H07	1,000	1,000	30	30.7	26.4	-1.97646	1.912111	2.091942	2.091605	4.37491	4.990499	4.380646	-1.97646	2.091942	0.050915	4.374809	3.9581	3.656385	3.061769	3.071485	-1.952194
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3	train	H0	H08	75	75	0	0	0	1.163326	-1.163326	-1.144954	-1.141385	1.325192	2.537046	1.417738	1.163326	1.163326	0.246287	1.302759	1.290994	1.352759	0.612038	0.5516	1.159416
3	train	H1	H08	75	75	0	0	0	-0.565689	0.565689	-0.614167	-0.625096	7.854923	10.491299	6.508283	-0.565689	0.614167	0.01482	0.390745	0.026378	0.319684	3.397407	3.154962	-0.563787
3	train	H0	H08	100	100	0	0	0	1.285223	-1.285223	-0.98674	-0.984422	1.317598	4.679323	1.73404	1.285223	1.285223	0.196842	0.969087	1.296196	1.653572	0.167859	0.127034	1.288448
3	train	H1	H08	100	100	0	0	0	-1.805664	1.805664	0.468781	0.468905	5.859409	12.990461	8.433155	-1.805664	1.805664	0.004657	0.219872	1.513927	3.282086	1.3837	1.58204	-1.810196
3	train	H0	H08	150	150	0	0	0	0.939768	-0.939768	-0.80436	-0.802117	0.97161	1.041694	0.883615	-0.802117	0.939768	0.346531	0.643392	0.891684	0.882589	0.189515	0.18492	0.941339
3	train	H1	H08	150	150	0	0	0	2.86057	-2.86057	-3.26555	-3.355648	11.332226	11.352182	11.308878	2.86057	3.26555	0.003502	11.26037	9.745071	8.23809	9.017996	9.069487	2.865349
3	train	H0	H08	200	200	0	0	0	0.918571	-0.918571	-1.556537	-1.563041	2.942532	3.985991	3.281733	-1.563041	1.556537	0.193812	2.443098	1.525647	0.843616	3.247777	3.318613	0.919722
3	train	H1	H08	200	200	0	0	0	0.425553	-0.425553	-1.754857	-1.773577	7.699237	8.142556	8.721588	-1.773577	1.754857	0.012768	3.145574	1.050148	0.181182	7.3774	7.353108	0.426086
3	train	H0	H08	300	300	0	0	0	1.08898	-1.08898	-1.416336	-1.416385	2.006445	3.105367	2.088028	-1.416385	1.416336	0.275762	2.006146	1.755528	1.18616	1.851802	1.974136	1.089889
3	train	H1	H08	300	300	0	0	0	1.541152	-1.541152	-2.902295	-2.977278	16.270215	17.63279	14.588683	-2.977278	2.902295	0.000524	8.864184	4.175877	2.377021	14.330824	14.233534	1.542438
3	train	H0	H08	500	500	0	0	0	0.193578	-0.193578	0.243012	0.242771	1.017029	1.199043	0.720992	0.242771	0.243012	0.69733	0.058938	0.009104	0.03746	0.388061	0.369984	0.193675
3	train	H1	H08	500	500	0	0	0	-0.431171	0.431171	-1.143992	-1.153644	12.07823	13.72364	10.205604	-0.431171	1.143992	0.003307	1.330894	0.006704	0.185935	6.348663	6.209329	-0.431387
3	train	H0	H08	1,000	1,000	0	0	0	-1.051175	1.051175	0.577492	0.57719	1.055297	3.452722	1.555144	-1.051175	1.051175	0.293058	0.333148	0.719976	1.10496	0.002578	0.00561	-1.051438
3	train	H1	H08	1,000	1,000	0	0	0	1.107551	-1.107551	-1.603053	-1.606315	3.248633	3.891071	2.920104	1.107551	1.603053	0.232224	2.580247	1.513552	1.226603	2.806809	2.880365	1.107828
3	train	H0	H08	20	20	10	5	10	1.042035	-0.97837	-1.439402	-1.465068	2.478495	2.4926	2.560041	-1.465068	1.439402	0.278032	2.146425	1.534211	0.960073	2.275947	2.30115	1.013245
3	train	H1	H08	20	20	10	15	5	-0.340588	0.330257	0.297688	0.292764	0.088505	4.094635	0.118105	0.292764	0.330257	0.251425	0.085711	0.053229	0.108844	0.056694	0.008926	-0.336245
3	train	H0	H08	30	30	10	10	13.333333	-0.148218	0.192207	-0.233603	-0.234246	1.339147	5.927769	0.899806	-0.234246	0.233603	0.115178	0.054871	0.008797	0.03673	0.439868	0.309453	-0.208035
3	train	H1	H08	30	30	10	3.333333	6.666667	-1.168858	1.187719	0.274581	0.273215	3.958684	4.622315	4.303282	-1.168858	1.187719	0.116293	0.074646	0.670848	1.418528	0.75858	0.733708	-1.192193
3	train	H0	H08	50	50	10	10	8	0.481829	-0.482845	-0.545442	-0.539448	0.299169	0.54914	0.291027	-0.539448	0.545442	0.621749	0.291004	0.225234	0.228848	0.179101	0.147885	0.493373
3	train	H1	H08	50	50	10	10	10	1.290887	-1.28719	-1.735925	-1.78762	4.106318	6.037985	3.808311	-1.78762	1.735925	0.109777	3.195584	2.181193	1.638822	3.529684	3.374069	1.326735
3	train	H0	H08	75	75	10	10.666667	12	1.11701	-1.051556	-1.794577	-1.830678	4.589148	6.329654	4.999095	-1.830678	1.794577	0.082122	3.351383	2.103998	1.103365	4.748352	4.851907	1.065837
3	train	H1	H08	75	75	10	9.333333	4	-0.377634	0.382735	-0.291808	-0.291718	2.581868	3.758959	1.982024	-0.377634	0.382735	0.288696	0.0851	0.039191	0.147644	0.927735	0.792319	-0.386495
3	train	H0	H08	100	100	10	8	15	-0.01927	0	-0.207268	-0.206966	0.602063	3.432273	0.24738	-0.01927	0.207268	0.329653	0.042835	0.000478	0	0.149852	0.089179	0.001763
3	train	H1	H08	100	100	10	12	9	-0.19197	0.213608	-0.350391	-0.34974	1.243796	1.449113	1.40554	-0.34974	0.350391	0.495212	0.122318	0.000409	0.047209	0.768475	0.73937	-0.223318
3	train	H0	H08	150	150	10	8.666667	12.666667	0.094242	-0.102127	-0.133027	-0.132408	0.018867	0.142459	0.020431	-0.132408	0.133027	0.917672	0.017532	0.02327	0.010277	0.011466	0.017678	0.103367
3	train	H1	H08	150	150	10	8.666667	10	-0.210882	0.297539	-0.998515	-1.006457	4.516171	17.453412	7.116788	-1.006457	0.998515	0.00057	1.012957	0.135287	0.089454	4.820055	5.376085	-0.303474
3	train	H0	H08	200	200	10	9.5	10	0.22209	-0.248032	0.427807	0.427235	2.253904	2.785935	1.937948	0.427235	0.427807	0.379472	0.18253	0.000608	0.060798	1.11922	1.03084	0.249252
3	train	H1	H08	200	200	10	14.5	10.5	-0.63182	0.766999	-0.870691	-0.885809	8.809282	19.28287	11.949243	-0.885809	0.870691	0.000239	0.784657	0.000004	0.593097	6.704199	7.194977	-0.805192
3	train	H0	H08	300	300	10	12.666667	12.666667	0.858441	-0.869333	-0.535604	-0.533989	1.069383	1.134979	0.987767	0.858441	0.869333	0.375386	0.285144	0.608211	0.752206	0.000156	0.001913	0.88643
3	train	H1	H08	300	300	10	8.666667	7.666667	3.584033	-3.561275	-4.019077	-4.128247	17.169358	18.398078	17.096457	-4.128247	4.019077	0.000194	17.042423	14.916538	12.773869	13.508747	13.441836	3.614902
3	train	H0	H08	500	500	10	10.2	9.8	1.24893	-1.251552	-1.298374	-1.300335	1.697601	4.70845	1.735515	1.24893	1.298374	0.194434	1.69087	1.512908	1.564811	0.994318	0.938381	1.275753
3	train	H1	H08	500	500	10	9.2	9.2	-0.593027	0.629065	-0.456071	-0.457285	5.305678	5.572978	4.854376	-0.593027	0.629065	0.088285	0.20911	0.075246	0.396415	2.288799	2.201114	-0.639763
3	train	H0	H08	1,000	1,000	10	10.3	9.6	0.017048	-0.044991	0.504726	0.504773	1.363031	2.155828	1.241194	0.017048	0.504726	0.537623	0.254796	0.0248	0.00198	0.9025	0.84983	0.04521
3	train	H1	H08	1,000	1,000	10	8.2	9.8	1.034782	-0.956772	-2.889555	-2.913551	22.836656	25.696493	20.035063	-2.913551	2.889555	0.000011	8.488781	2.536679	0.91465	18.222497	18.054612	0.971259

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