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	H0	H08	75	75	10	6.666667	14.666667	-0.237999	0.220321	0.399931	0.39791	0.205184	0.241985	0.219826	-0.237999	0.399931	0.823357	0.158332	0.102827	0.04943	0.250211	0.216858	-0.223229
5	train	H1	H08	75	75	10	8	9.333333	0.392835	-0.364918	-0.826197	-0.821552	1.155713	1.21123	1.226943	-0.821552	0.826197	0.541468	0.674948	0.311939	0.131442	1.082469	1.071533	0.36665
5	train	H0	H08	100	100	10	6	8	-1.051251	1.035101	0.674304	0.680484	2.649525	9.843162	1.408565	0.680484	1.035101	0.019947	0.463059	1.179573	1.075202	0.000843	0.023754	-1.054769
5	train	H1	H08	100	100	10	5	6	-1.090285	1.077701	1.308084	1.31208	1.721555	2.678739	1.744766	1.31208	1.308084	0.275383	1.721553	1.527391	1.160718	1.518218	1.654424	-1.090749
5	train	H0	H08	150	150	10	10	8.666667	-0.594034	0.607672	0.540791	0.539596	0.325084	0.32285	0.353387	-0.594034	0.607672	0.534733	0.291164	0.333842	0.370588	0.132904	0.143647	-0.620798
5	train	H1	H08	150	150	10	6.666667	10.666667	2.047882	-2.014267	-2.526456	-2.556393	6.88342	6.965348	6.787333	2.047882	2.526456	0.033585	6.535146	5.042222	4.059759	5.883151	5.843914	2.052622
5	train	H0	H08	200	200	10	9.5	12	1.28636	-1.334081	-0.85034	-0.84892	1.25029	7.548618	2.060805	1.28636	1.334081	0.056322	0.720665	1.1248	1.779955	0.0205	0.005596	1.357448
5	train	H1	H08	200	200	10	11	7	-0.055844	0.068321	-0.730712	-0.733934	3.732435	4.802868	2.862201	-0.733934	0.730712	0.186815	0.538659	0.019097	0.00479	2.003389	1.884257	-0.068997
5	train	H0	H08	300	300	10	11	9.666667	-0.92858	0.934231	1.058294	1.057069	1.147604	1.470948	1.117629	1.057069	1.058294	0.339469	1.117395	0.908166	0.87438	0.872319	0.843337	-0.955215
5	train	H1	H08	300	300	10	8	8.666667	1.082171	-1.049455	-1.52549	-1.526578	2.509898	2.737061	2.666548	-1.526578	1.52549	0.263613	2.330441	1.703794	1.101029	2.537529	2.549093	1.061671
5	train	H0	H08	500	500	10	9.8	9.2	0.078181	-0.073564	-0.359676	-0.359173	0.643019	1.179489	0.383791	0.078181	0.359676	0.757928	0.129005	0.012429	0.005291	0.304548	0.280945	0.074216
5	train	H1	H08	500	500	10	9.4	11.4	0.946007	-0.86003	-2.42163	-2.447275	15.420875	16.990532	14.037146	-2.447275	2.42163	0.00071	5.989157	2.036987	0.738718	12.633884	12.508922	0.864859
5	train	H0	H08	1,000	1,000	10	10.4	10.4	1.84759	-1.824767	-1.823675	-1.825206	3.901439	7.032041	3.578362	-1.825206	1.824767	0.063749	3.331379	3.766969	3.328813	1.735785	1.854423	1.853928
5	train	H1	H08	1,000	1,000	10	9.7	9.1	1.803486	-1.771529	-2.519035	-2.530563	7.746464	8.49445	7.308434	-2.530563	2.519035	0.025882	6.40375	4.166591	3.138228	7.024558	6.974326	1.798382
5	train	H0	H08	20	20	20	20	30	-1.223683	1.097385	1.390224	1.453641	2.1894	2.177545	2.196401	-1.223683	1.390224	0.232694	2.113073	1.717466	1.267363	1.889907	1.925807	-1.193449
5	train	H1	H08	20	20	20	30	5	-0.280527	0.244853	0.284623	0.277938	0.085651	0.358239	0.081334	0.277938	0.284623	0.777344	0.07725	0.076419	0.067225	0.065325	0.113185	-0.282782
5	train	H0	H08	30	30	20	23.333333	10	-1.334144	1.265963	1.670257	1.66766	2.899073	3.016935	2.941733	1.66766	1.670257	0.18039	2.781091	2.186859	1.622763	2.718031	2.90743	-1.339556
5	train	H1	H08	30	30	20	6.666667	20	0.895758	-0.843733	-1.523053	-1.544067	4.632806	7.888182	4.084672	-1.544067	1.523053	0.04838	2.384141	1.187178	0.707668	3.785748	3.47995	0.878556
5	train	H0	H08	50	50	20	16	16	-0.478025	0.507631	-0.45876	-0.468008	5.990355	8.993432	5.094023	-0.478025	0.507631	0.029378	0.219032	0.032942	0.26551	2.658866	2.419834	-0.541394
5	train	H1	H08	50	50	20	22	18	-0.137264	0.106134	0.087623	0.086827	0.083635	0.864868	0.026733	-0.137264	0.106134	0.833897	0.007539	0.026429	0.012037	0.002428	0.009301	-0.111128
5	train	H0	H08	75	75	20	21.333333	21.333333	0.776172	-0.738093	-0.74355	-0.739919	0.629253	0.779262	0.610184	-0.739919	0.74355	0.447271	0.54748	0.628153	0.535436	0.232674	0.21348	0.759973
5	train	H1	H08	75	75	20	25.333333	22.666667	-0.496895	0.381298	0.913985	0.911479	1.311619	1.707179	1.475651	0.911479	0.913985	0.478153	0.830794	0.430937	0.148763	1.561395	1.583517	-0.413766
5	train	H0	H08	100	100	20	20	24	1.143126	-1.003956	-1.561785	-1.568651	2.555077	9.588827	2.951151	-1.568651	1.561785	0.022405	2.460666	1.935737	1.002584	2.902554	3.262554	1.040668
5	train	H1	H08	100	100	20	20	17	-0.451855	0.425331	0.704084	0.700945	0.771449	1.199296	0.69108	-0.451855	0.704084	0.65664	0.491324	0.270825	0.183934	0.782978	0.746515	-0.444557
5	train	H0	H08	150	150	20	14	12	0.224871	-0.30606	0.683156	0.68705	3.588006	6.480368	4.1894	0.68705	0.683156	0.09044	0.472037	0.011086	0.093307	2.396542	2.534058	0.309589
5	train	H1	H08	150	150	20	22.666667	18.666667	0.02926	0.018128	-0.273415	-0.274542	0.266232	2.131424	0.388122	0.02926	0.273415	0.545582	0.075373	0.015569	0.000383	0.2761	0.316751	-0.022823
5	train	H0	H08	200	200	20	18	16.5	-2.590678	2.575011	2.122611	2.141119	7.431354	8.090974	6.955989	-2.590678	2.575011	0.007532	4.584389	6.580226	6.682419	0.741337	0.695013	-2.672337
5	train	H1	H08	200	200	20	24	20.5	-0.37111	0.315342	0.499819	0.499178	0.249207	1.168456	0.289821	0.499178	0.499819	0.741802	0.249179	0.237054	0.100288	0.302486	0.333214	-0.329468
5	train	H0	H08	300	300	20	16.666667	19.333333	0.13452	-0.1242	0.115719	0.11579	0.656949	1.82475	0.308891	0.11579	0.1242	0.609564	0.013407	0.017827	0.015167	0.1461	0.13283	0.128011
5	train	H1	H08	300	300	20	18.333333	15	-0.317721	0.374322	-0.285832	-0.285643	1.547105	1.522759	1.745616	-0.317721	0.374322	0.417777	0.081592	0.014234	0.14145	0.831623	0.8026	-0.388308
5	train	H0	H08	500	500	20	20.2	18.2	0.263039	-0.366624	0.461083	0.460987	2.127699	2.234827	2.638495	0.263039	0.461083	0.267336	0.212509	0.000144	0.13323	1.448415	1.430623	0.378354
5	train	H1	H08	500	500	20	22	17.6	1.461957	-1.357074	-2.009599	-2.034066	4.768082	5.415287	5.013725	-2.034066	2.009599	0.081524	4.137424	2.91988	1.840256	4.924868	4.919614	1.392197
5	train	H0	H08	1,000	1,000	20	20	18.6	0.406804	-0.497798	0.250779	0.250705	1.454034	4.806841	2.099455	0.406804	0.497798	0.1865	0.062853	0.027702	0.246744	0.916666	0.941904	0.516057
5	train	H1	H08	1,000	1,000	20	18.9	18.6	0.156166	0.093959	-2.221932	-2.245113	24.312865	24.549522	24.563531	-2.245113	2.221932	0.000005	5.04053	0.623276	0.008986	18.268273	18.17079	-0.10167

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