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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4	train	H1	H04	50	50	10	4	12	-0.288916	0.314091	-0.413811	-0.410599	1.523669	6.251771	2.352053	-0.410599	0.413811	0.099983	0.168592	0.00298	0.098599	1.216742	1.489045	-0.307337
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4	train	H0	H04	75	75	20	13.333333	14.666667	-0.908295	0.959127	0.190926	0.190043	2.496779	3.519687	2.989675	-0.908295	0.959127	0.224285	0.036116	0.393547	0.920915	0.502402	0.524594	-0.960758
4	train	H1	H04	75	75	20	16	22.666667	0.252257	-0.246915	-0.323696	-0.322801	0.142259	0.48014	0.117545	0.252257	0.323696	0.80183	0.1042	0.063117	0.060852	0.080478	0.076013	0.25098
4	train	H0	H04	100	100	20	16	21	1.730049	-1.767585	-1.357224	-1.355312	3.278095	3.479631	3.341953	1.730049	1.767585	0.073172	1.836872	2.714622	3.13757	0.28653	0.304207	1.791754
4	train	H1	H04	100	100	20	19	22	-1.617423	1.630465	1.324415	1.332434	3.29287	5.322683	2.775972	-1.617423	1.630465	0.097436	1.775381	2.752365	2.669249	0.28362	0.461035	-1.657411
4	train	H0	H04	150	150	20	18	23.333333	1.446059	-1.38307	-1.793978	-1.793478	3.380775	3.339285	3.416412	-1.793478	1.793978	0.158119	3.216565	2.556322	1.915514	3.005376	2.941814	1.411428
4	train	H1	H04	150	150	20	18	20	-0.950141	0.898619	1.21275	1.221404	1.735573	2.211221	1.66832	1.221404	1.21275	0.359255	1.491827	1.046076	0.807554	1.698099	1.63596	-0.916786
4	train	H0	H04	200	200	20	22	17	-0.007313	-0.027954	0.124753	0.124584	0.017829	2.125397	0.08334	0.124584	0.124753	0.546792	0.015521	0.009489	0.000781	0.070467	0.104262	0.027562
4	train	H1	H04	200	200	20	18	22.5	-1.509301	1.586791	0.884998	0.887779	3.979763	4.065993	3.85005	-1.509301	1.586791	0.1066	0.788152	1.895262	2.521706	0.039579	0.028292	-1.613666
4	train	H0	H04	300	300	20	26.666667	17	-1.530901	1.481505	1.942156	1.940377	4.6812	11.669587	4.138014	-1.530901	1.942156	0.008605	3.765062	2.484848	2.194698	3.9687	3.705635	-1.510466
4	train	H1	H04	300	300	20	19	20.666667	0.022951	0.046439	-0.703272	-0.702281	2.860051	2.800864	2.845676	-0.702281	0.703272	0.241029	0.493198	0.066602	0.002157	1.900877	1.774828	-0.044845
4	train	H0	H04	500	500	20	19.4	20.4	-0.407907	0.360685	0.395681	0.395499	0.332247	6.659298	0.169407	-0.407907	0.395681	0.083588	0.156419	0.225135	0.130067	0.080379	0.121673	-0.366123
4	train	H1	H04	500	500	20	21	18.2	-1.6725	1.704166	1.217652	1.217102	3.178161	2.947198	3.387983	-1.6725	1.704166	0.084035	1.481337	2.309662	2.904939	0.097095	0.11209	-1.727742
4	train	H0	H04	1,000	1,000	20	19.4	20.4	-0.139255	0.133723	0.045233	0.045229	0.115886	0.47041	0.059563	-0.139255	0.133723	0.89225	0.002046	0.019482	0.01788	0.005137	0.004759	-0.135457
4	train	H1	H04	1,000	1,000	20	21.2	20.4	-2.318002	2.355735	1.634626	1.637034	7.790956	11.499228	6.843399	-2.318002	2.355735	0.009311	2.679881	4.900154	5.552804	0.082622	0.108661	-2.39149
4	train	H0	H04	20	20	30	25	30	-0.451382	0.490931	0.284598	0.28121	0.448063	0.765444	0.408205	0.28121	0.490931	0.619092	0.079079	0.180974	0.23909	0.005551	0.015572	-0.497138
4	train	H1	H04	20	20	30	40	40	0.308319	-0.25206	-0.530316	-0.53599	0.902493	1.891552	0.976944	0.308319	0.530316	0.595218	0.287285	0.161656	0.063544	0.570123	0.629423	0.255057
4	train	H0	H04	30	30	30	36.666667	16.666667	-0.64472	0.453132	1.302099	1.301341	4.082962	8.669134	4.613676	-0.64472	1.302099	0.034029	1.693488	0.816245	0.205236	3.49106	4.240019	-0.504139
4	train	H1	H04	30	30	30	36.666667	26.666667	-0.63507	0.658034	0.625595	0.620802	0.411566	0.740688	0.403488	-0.63507	0.658034	0.503001	0.385395	0.456911	0.43106	0.324289	0.38123	-0.669775
4	train	H0	H04	50	50	30	30	50	2.186794	-2.181955	-2.013914	-1.999713	5.08174	6.731775	4.85531	-1.999713	2.181955	0.023702	3.99885	4.973148	4.786865	1.41393	1.825853	2.261919
4	train	H1	H04	50	50	30	38	34	-0.59805	0.591882	0.663376	0.666486	0.445159	2.511988	0.461029	-0.59805	0.663376	0.473128	0.444204	0.486256	0.350506	0.46215	0.52111	-0.602165
4	train	H0	H04	75	75	30	32	28	0.292387	-0.34272	-0.069007	-0.068727	0.24831	5.284816	0.463392	0.292387	0.34272	0.152091	0.004723	0.024014	0.11734	0.102966	0.13667	0.341375
4	train	H1	H04	75	75	30	26.666667	33.333333	-0.117898	0.129148	0.062504	0.062394	0.027496	0.022127	0.031804	0.062394	0.129148	0.896469	0.003893	0.007431	0.016662	0.000453	0.001244	-0.130124
4	train	H0	H04	100	100	30	30	31	-0.294625	0.335927	0.190298	0.189794	0.149235	0.159184	0.145349	-0.294625	0.335927	0.729735	0.036022	0.088193	0.112728	0.001565	0.001955	-0.345478
4	train	H1	H04	100	100	30	34	33	-0.938416	1.041857	0.491875	0.489842	2.367199	2.406642	2.299072	-0.938416	1.041857	0.283714	0.239946	0.743216	1.084186	0.121315	0.089255	-1.072014
4	train	H0	H04	150	150	30	32	28.666667	-0.819412	0.74807	0.694977	0.693823	0.843779	2.065927	0.701813	0.693823	0.74807	0.443049	0.48139	0.61131	0.559194	0.09966	0.170929	-0.767054
4	train	H1	H04	150	150	30	34	26.666667	-0.595264	0.645816	0.394433	0.39461	0.612375	0.751215	0.56121	0.39461	0.645816	0.507147	0.155717	0.337029	0.416703	0.000508	0.00164	-0.663287
4	train	H0	H04	200	200	30	28.5	26.5	-1.71041	1.778248	1.160009	1.161346	4.696093	5.799525	4.240851	-1.71041	1.778248	0.068823	1.348724	2.708656	3.16343	0.00064	0.005358	-1.819578
4	train	H1	H04	200	200	30	37	28.5	-2.880358	2.93868	2.513127	2.524777	8.500316	9.280364	8.651853	-2.880358	2.93868	0.002552	6.374498	7.989096	8.66883	1.551571	1.5453	-3.017136
4	train	H0	H04	300	300	30	27.666667	31	0.291036	-0.339829	-0.158415	-0.158664	0.15206	0.712708	0.188404	-0.158664	0.339829	0.72686	0.025174	0.07209	0.115424	0.010215	0.015896	0.349306
4	train	H1	H04	300	300	30	32	30	-0.972508	1.018231	0.680886	0.680308	1.321423	1.231992	1.351685	-0.972508	1.018231	0.297541	0.462819	0.814985	1.036626	0.007684	0.012684	-1.041721
4	train	H0	H04	500	500	30	27.2	30.4	0.464572	-0.419444	-0.554582	-0.553759	0.306808	1.186875	0.325477	0.464572	0.554582	0.667733	0.306649	0.289813	0.175882	0.271065	0.310099	0.429262
4	train	H1	H04	500	500	30	31.2	32	-0.353774	0.301762	0.436602	0.436368	0.209583	0.367092	0.217585	0.436368	0.436602	0.757173	0.190417	0.132815	0.091044	0.227581	0.221408	-0.309195
4	train	H0	H04	1,000	1,000	30	31	31.4	-0.970056	0.914686	1.083523	1.084045	1.200386	1.251544	1.191305	1.084045	1.083523	0.348642	1.175154	0.967571	0.83673	1.012014	1.002099	-0.937227
4	train	H1	H04	1,000	1,000	30	29.6	32.4	-0.745015	0.96005	-0.061319	-0.061302	4.610989	6.468535	5.244029	-0.745015	0.96005	0.072656	0.003758	0.280623	0.921829	1.626928	1.649508	-0.981779

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