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	H1	H04	75	75	0	0	0	-1.689548	1.689548	1.551941	1.562057	3.300006	4.837116	2.890445	1.562057	1.689548	0.092207	2.440022	3.090698	2.863818	0.910279	1.162456	-1.683869
5	train	H0	H04	100	100	0	0	0	0.420263	-0.420263	-0.259302	-0.258778	0.655896	3.800124	0.22614	-0.258778	0.420263	0.283872	0.066966	0.227523	0.176359	0.000009	0.007056	0.421318
5	train	H1	H04	100	100	0	0	0	-1.805664	1.805664	2.598452	2.676314	8.62685	8.470548	8.74855	2.676314	2.598452	0.012597	7.162657	4.950597	3.274661	8.910204	8.889155	-1.810196
5	train	H0	H04	150	150	0	0	0	0.170383	-0.170383	-0.328931	-0.327187	0.116553	0.108294	0.160104	-0.327187	0.328931	0.864485	0.107052	0.082334	0.029007	0.140528	0.130665	0.170668
5	train	H1	H04	150	150	0	0	0	-1.441599	1.441599	1.670291	1.69022	3.2337	11.026905	2.867068	-1.441599	1.670291	0.011581	2.856845	2.072311	2.080372	2.333075	2.183386	-1.444008
5	train	H0	H04	200	200	0	0	0	-0.292351	0.292351	-0.192823	-0.192189	0.449528	2.569855	0.896972	-0.292351	0.292351	0.462799	0.036937	0.002759	0.085432	0.388872	0.447197	-0.292718
5	train	H1	H04	200	200	0	0	0	0.282837	-0.282837	-0.400131	-0.398476	0.159306	0.792908	0.175154	-0.398476	0.400131	0.77703	0.158783	0.126455	0.079919	0.145486	0.177501	0.283191
5	train	H0	H04	300	300	0	0	0	-0.587823	0.587823	0.871061	0.868895	0.835397	0.808931	0.867457	0.868895	0.871061	0.556322	0.754979	0.534348	0.345358	0.889354	0.874127	-0.588314
5	train	H1	H04	300	300	0	0	0	-1.123364	1.123364	0.170022	0.169902	3.542852	3.011229	3.926207	-1.123364	1.123364	0.140422	0.028867	0.565634	1.263062	0.744194	0.681918	-1.124301
5	train	H0	H04	500	500	0	0	0	1.164314	-1.164314	-1.110157	-1.110891	1.847435	2.689436	1.396212	-1.110891	1.164314	0.244061	1.234078	1.694185	1.355899	0.583805	0.5877	1.164897
5	train	H1	H04	500	500	0	0	0	0.008759	-0.008759	-0.838427	-0.838827	2.762646	2.722582	2.821681	-0.838827	0.838427	0.243938	0.703631	0.106861	0.000077	2.083253	2.058772	0.008764
5	train	H0	H04	1,000	1,000	0	0	0	-0.551685	0.551685	1.372699	1.373822	3.518825	3.569367	3.553453	-0.551685	1.372699	0.169191	1.887387	0.767804	0.304321	3.415025	3.405689	-0.551823
5	train	H1	H04	1,000	1,000	0	0	0	-2.664102	2.664102	1.517681	1.517701	9.084342	9.666317	9.632704	-2.664102	2.664102	0.007704	2.303418	5.279126	7.103471	0.007259	0.008513	-2.664768
5	train	H0	H04	20	20	10	5	20	-2.077749	2.124462	1.832558	1.976279	4.352343	6.517376	4.537013	-2.077749	2.124462	0.026456	3.905677	4.380558	4.709588	1.373571	1.325305	-2.219448
5	train	H1	H04	20	20	10	0	5	-0.337457	0.358545	0.2313	0.225395	0.066327	1.317598	0.13683	-0.337457	0.358545	0.715213	0.050803	0.066005	0.127668	0.016805	0.002985	-0.364864
5	train	H0	H04	30	30	10	10	23.333333	1.331447	-1.297086	-1.441693	-1.441553	2.080278	2.374488	2.07808	1.331447	1.441693	0.185245	2.078075	1.862631	1.680814	1.321465	1.284131	1.324776
5	train	H1	H04	30	30	10	23.333333	10	-2.140808	2.07809	2.343831	2.452807	6.355559	9.840802	6.218701	-2.140808	2.343831	0.019969	6.01626	5.015838	4.356613	5.927121	5.771163	-2.114766
5	train	H0	H04	50	50	10	8	6	-0.444857	0.451995	0.678464	0.680135	0.832929	3.741306	0.603306	0.680135	0.678464	0.290787	0.462583	0.231846	0.203634	0.688322	0.605317	-0.447881
5	train	H1	H04	50	50	10	18	14	-1.450025	1.439991	1.261533	1.27273	2.038136	2.569345	2.146937	-1.450025	1.439991	0.145976	1.619843	1.88189	2.080334	0.542992	0.532334	-1.453895
5	train	H0	H04	75	75	10	9.333333	6.666667	-1.463723	1.433013	1.812077	1.832392	3.966274	9.684522	3.553366	1.832392	1.812077	0.021447	3.357659	2.310119	2.056513	3.444708	3.203675	-1.438271
5	train	H1	H04	75	75	10	5.333333	12	0.378657	-0.36771	-0.621979	-0.61728	0.536476	0.555258	0.524965	-0.61728	0.621979	0.711256	0.381034	0.227432	0.134836	0.452692	0.436291	0.37017
5	train	H0	H04	100	100	10	11	8	-0.46007	0.461209	0.50611	0.504983	0.279101	1.373161	0.255378	-0.46007	0.50611	0.641241	0.255007	0.195692	0.212456	0.194005	0.154683	-0.465964
5	train	H1	H04	100	100	10	9	10	-1.025542	1.040893	0.554917	0.554345	2.185534	3.205632	1.726229	-1.025542	1.040893	0.294528	0.307298	0.907379	1.085314	0.02733	0.00772	-1.048239
5	train	H0	H04	150	150	10	9.333333	8.666667	-0.555426	0.54531	0.695734	0.693853	0.535642	1.056478	0.502932	-0.555426	0.695734	0.582917	0.481432	0.355181	0.297082	0.505645	0.45312	-0.549129
5	train	H1	H04	150	150	10	6.666667	10	-1.809901	1.800116	1.610105	1.622267	3.458394	3.634079	3.283976	1.622267	1.800116	0.070155	2.631749	3.281022	3.247601	0.918629	0.931122	-1.810909
5	train	H0	H04	200	200	10	10.5	10.5	0.825506	-0.846158	-0.404519	-0.403133	1.15433	1.645521	1.223804	0.825506	0.846158	0.39342	0.162516	0.499255	0.715526	0.038404	0.045885	0.853431
5	train	H1	H04	200	200	10	9	10	-0.6303	0.657321	0.135036	0.134761	1.276443	1.556152	1.307634	-0.6303	0.657321	0.508595	0.018161	0.230637	0.431827	0.200945	0.215883	-0.661028
5	train	H0	H04	300	300	10	9	9.333333	-0.760901	0.785371	0.260158	0.259785	1.679749	1.894992	1.399945	-0.760901	0.785371	0.428358	0.067488	0.442402	0.616641	0.136794	0.133966	-0.792004
5	train	H1	H04	300	300	10	11.333333	11.666667	-1.208867	1.217112	0.797562	0.797393	2.167931	2.747944	1.897346	0.797393	1.217112	0.22077	0.635836	1.25888	1.481402	0.01204	0.02495	-1.224484
5	train	H0	H04	500	500	10	11	8.2	0.670817	-0.686102	-0.193293	-0.193108	1.486925	1.622775	1.24797	0.670817	0.686102	0.490573	0.037291	0.309839	0.47065	0.156334	0.148754	0.689397
5	train	H1	H04	500	500	10	9.2	10.6	-2.58269	2.616476	1.779056	1.78378	6.579781	10.656563	8.027198	-2.58269	2.616476	0.008405	3.181871	5.124448	6.85857	0.127038	0.119595	-2.635347
5	train	H0	H04	1,000	1,000	10	10.9	10.5	-1.465092	1.427732	1.740061	1.741447	3.033299	3.645615	3.07395	1.741447	1.740061	0.1508	3.032637	2.775406	2.039048	2.558739	2.566602	-1.43671
5	train	H1	H04	1,000	1,000	10	10.2	9.7	-2.15801	2.145214	1.913443	1.914223	4.629504	4.760773	4.65946	1.914223	2.145214	0.030794	3.664249	4.487863	4.603757	1.256927	1.234899	-2.159725

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