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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6	train	H1	H23	75	75	10	8	13.333333	0.556134	-0.491478	-1.387763	-1.402563	5.562753	7.781234	4.838294	0.556134	1.387763	0.050756	1.967184	0.631744	0.239432	4.308039	4.030154	0.500419
6	train	H0	H23	100	100	10	11	12	-0.732375	0.767377	0.043822	0.043961	3.239985	4.851115	2.586781	-0.732375	0.767377	0.18303	0.001933	0.322381	0.590861	0.690598	0.598664	-0.777073
6	train	H1	H23	100	100	10	7	10	2.003666	-1.95867	-2.784396	-2.890355	10.230536	12.318012	10.739916	-2.890355	2.784396	0.004654	8.354152	5.96587	3.853507	10.595169	10.758277	1.960412
6	train	H0	H23	150	150	10	14	6.666667	1.353194	-1.413257	-0.214723	-0.215013	6.520145	6.554891	6.495325	1.353194	1.413257	0.038865	0.046231	1.018549	2.001128	1.074355	0.981166	1.435121
6	train	H1	H23	150	150	10	7.333333	12.666667	1.099801	-1.04723	-1.889238	-1.897302	4.862861	5.445342	5.304755	-1.897302	1.889238	0.070483	3.599753	2.157561	1.094316	5.174852	5.230646	1.069714
6	train	H0	H23	200	200	10	10	14	1.093825	-1.05302	-1.539807	-1.540952	2.510419	6.051379	2.783595	-1.540952	1.539807	0.109137	2.374533	1.834496	1.108589	2.694496	2.944128	1.073251
6	train	H1	H23	200	200	10	8.5	14	1.435055	-1.374799	-2.259444	-2.286879	7.89605	9.818071	7.238202	-2.286879	2.259444	0.020178	5.229816	2.89557	1.889177	7.088195	6.94452	1.400987
6	train	H0	H23	300	300	10	12.333333	10.333333	-1.638981	1.655004	1.218634	1.218213	2.51173	5.402488	2.991715	-1.638981	1.655004	0.092136	1.484044	2.16083	2.745562	0.167852	0.144053	-1.684239
6	train	H1	H23	300	300	10	10.666667	9.666667	-1.658597	1.696437	0.663961	0.663615	6.364926	6.538777	5.911872	-1.658597	1.696437	0.05203	0.440384	1.933885	2.885156	0.472874	0.407171	-1.724667
6	train	H0	H23	500	500	10	6.8	10.4	0.181517	-0.159848	-0.643516	-0.642793	1.318163	1.579896	1.090978	0.181517	0.643516	0.579558	0.413183	0.082061	0.025323	0.936636	0.962402	0.162169
6	train	H1	H23	500	500	10	9.4	10.6	-0.21491	0.271207	-0.898293	-0.901102	5.367235	5.196799	5.677614	-0.901102	0.898293	0.058495	0.811984	0.033439	0.07369	3.662232	3.584199	-0.276017
6	train	H0	H23	1,000	1,000	10	9.8	9.7	-0.325744	0.341831	0.752479	0.755021	2.691883	14.807546	1.118316	-0.325744	0.752479	0.001989	0.570057	0.088103	0.117118	1.030119	0.979359	-0.348006
6	train	H1	H23	1,000	1,000	10	8.2	8.9	2.279085	-2.20644	-3.362762	-3.386852	12.877358	17.743227	13.941341	-3.386852	3.362762	0.000497	11.470764	7.922758	4.870676	13.864806	14.058033	2.231576
6	train	H0	H23	20	20	20	15	20	-0.820702	0.832413	0.330504	0.324171	1.787857	2.0115	1.594935	-0.820702	0.832413	0.396242	0.105087	0.470596	0.690482	0.121672	0.058242	-0.848352
6	train	H1	H23	20	20	20	10	20	-0.271564	0.23794	0.255629	0.256266	0.151092	2.564185	0.074256	-0.271564	0.255629	0.463803	0.065672	0.110064	0.056867	0.017621	0.050538	-0.238615
6	train	H0	H23	30	30	20	23.333333	20	-0.443932	0.479828	-0.033465	-0.033597	2.035397	5.59382	1.550977	-0.443932	0.479828	0.133134	0.001129	0.129225	0.245695	0.544996	0.398004	-0.523943
6	train	H1	H23	30	30	20	16.666667	10	0.183226	-0.156208	-0.495501	-0.498441	0.845379	1.741908	0.711916	0.183226	0.495501	0.627657	0.248443	0.079101	0.024316	0.510374	0.425643	0.163743
6	train	H0	H23	50	50	20	24	20	-0.240806	0.27486	-0.087264	-0.085963	0.557356	0.599761	0.537085	-0.085963	0.27486	0.758156	0.00739	0.022109	0.08443	0.153061	0.105128	-0.307904
6	train	H1	H23	50	50	20	22	28	-0.677756	0.652732	0.485041	0.48643	0.658837	0.850541	0.58706	-0.677756	0.652732	0.487348	0.236614	0.412426	0.435753	0.011313	0.018257	-0.694534
6	train	H0	H23	75	75	20	18.666667	21.333333	-0.233753	0.173883	0.401526	0.401688	0.189359	1.383712	0.262332	-0.233753	0.401526	0.709357	0.161353	0.106997	0.030929	0.322007	0.383503	-0.180047
6	train	H1	H23	75	75	20	16	18.666667	-1.044008	1.133691	0.262154	0.260515	2.884153	5.544863	3.583347	-1.044008	1.133691	0.13598	0.067868	0.584896	1.287372	0.643079	0.763945	-1.152863
6	train	H0	H23	100	100	20	17	25	0.936901	-0.880676	-1.371606	-1.366957	2.624952	4.465517	2.375726	0.936901	1.371606	0.215387	1.868571	1.100665	0.769939	2.23822	2.024639	0.917056
6	train	H1	H23	100	100	20	23	18	-3.592756	3.724162	2.62233	2.650395	13.889602	15.789988	15.187887	-3.592756	3.724162	0.000108	7.024596	11.350354	14.151284	0.184512	0.19034	-3.87216
6	train	H0	H23	150	150	20	17.333333	16.666667	0.358052	-0.457175	0.771371	0.777903	7.471267	8.069044	6.595533	0.777903	0.771371	0.036966	0.605134	0.006032	0.205396	3.513274	3.354599	0.468884
6	train	H1	H23	150	150	20	16	19.333333	-0.033286	0.177881	-1.112547	-1.116886	7.039811	7.537285	7.318596	-1.116886	1.112547	0.025751	1.247434	0.103261	0.031902	5.136711	5.071776	-0.180404
6	train	H0	H23	200	200	20	18.5	19	1.636596	-1.553157	-1.879473	-1.892437	3.591038	5.908351	3.612477	-1.892437	1.879473	0.109638	3.581317	3.326532	2.414173	2.89942	3.060713	1.599822
6	train	H1	H23	200	200	20	23	24	-0.269259	0.313163	-0.178867	-0.178227	1.06846	0.920692	1.139704	-0.178227	0.313163	0.565609	0.031765	0.013948	0.099845	0.478756	0.430981	-0.326552
6	train	H0	H23	300	300	20	19	19.666667	-0.27314	0.245078	0.525113	0.52466	0.417601	1.416917	0.488794	-0.27314	0.525113	0.701574	0.275268	0.129218	0.06055	0.495749	0.555669	-0.256963
6	train	H1	H23	300	300	20	20.333333	22	-0.075621	0.206638	-0.826643	-0.828461	4.192754	3.763569	4.512816	-0.828461	0.826643	0.104726	0.686348	0.047986	0.043362	3.037046	2.887558	-0.218275
6	train	H0	H23	500	500	20	22	20	0.258176	-0.209432	-0.742327	-0.742973	1.838104	2.211562	1.51322	-0.742973	0.742327	0.469255	0.552009	0.119351	0.042985	1.281848	1.262932	0.214991
6	train	H1	H23	500	500	20	20	19.4	0.718833	-0.568023	-1.86181	-1.874754	9.173261	8.992096	9.130152	-1.874754	1.86181	0.010409	3.514702	1.167493	0.321702	8.012438	7.914643	0.584302
6	train	H0	H23	1,000	1,000	20	20.3	20.5	0.328413	-0.365017	-0.156026	-0.155892	0.108898	0.999279	0.211457	0.328413	0.365017	0.706093	0.024302	0.06675	0.132515	0.010936	0.015583	0.377109
6	train	H1	H23	1,000	1,000	20	19.5	20.7	1.202392	-1.026195	-2.317337	-2.325109	9.006896	10.686742	9.836242	-2.325109	2.317337	0.007313	5.406132	2.624542	1.050565	9.498667	9.472757	1.060987

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