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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2	train	H1	H04	20	20	30	10	10	0.278731	-0.209202	-0.548258	-0.548988	0.417415	3.087034	0.587539	-0.548988	0.548258	0.3784	0.301388	0.17307	0.043579	0.41934	0.536793	0.205918
2	train	H0	H04	30	30	30	20	33.333333	1.763461	-1.785165	-1.211156	-1.224104	4.822208	5.339125	4.562882	1.763461	1.785165	0.066895	1.498429	2.713459	3.206807	0.016193	0.056564	1.832378
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2	train	H1	H04	50	50	30	20	18	-0.618998	0.553452	1.043328	1.054305	2.14609	2.246646	2.073475	1.054305	1.043328	0.35461	1.111559	0.570452	0.305549	2.255137	2.167608	-0.561566
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2	train	H0	H04	100	100	30	25	34	1.807289	-1.93021	-1.267729	-1.266956	4.808931	4.936721	4.739094	1.807289	1.93021	0.048463	1.605177	3.002494	3.726536	0.039118	0.050156	1.97329
2	train	H1	H04	100	100	30	33	25	-0.868764	0.761002	1.263342	1.267189	2.298622	3.428215	2.49173	-0.868764	1.263342	0.287692	1.605769	1.063124	0.578561	2.704778	2.692568	-0.780424
2	train	H0	H04	150	150	30	32	36	1.630067	-1.626876	-1.437765	-1.444833	3.060305	7.417513	2.739007	-1.444833	1.626876	0.059716	2.087543	2.86451	2.652201	0.642396	0.738856	1.689935
2	train	H1	H04	150	150	30	24.666667	26	-1.97413	2.028685	1.490752	1.497488	4.714812	4.698509	4.617331	-1.97413	2.028685	0.037094	2.24247	3.589821	4.13472	0.164558	0.207823	-2.084723
2	train	H0	H04	200	200	30	28	36	0.263494	-0.210552	-0.296568	-0.297698	0.105037	3.019053	0.091011	0.263494	0.296568	0.388697	0.088624	0.117952	0.044314	0.064472	0.078355	0.221148
2	train	H1	H04	200	200	30	24.5	26	-0.309763	0.297544	0.348768	0.347858	0.126276	0.394357	0.121879	-0.309763	0.348768	0.761574	0.121005	0.141054	0.088516	0.115648	0.134906	-0.303415
2	train	H0	H04	300	300	30	28.666667	25	-0.395061	0.347568	0.692949	0.691914	0.941811	1.031871	0.91231	-0.395061	0.692949	0.633716	0.478745	0.239339	0.120751	0.942839	0.91229	-0.355887
2	train	H1	H04	300	300	30	30.333333	30.666667	-0.996005	1.075737	0.636828	0.636369	1.479863	1.864159	1.703606	-0.996005	1.075737	0.272562	0.404965	0.769912	1.157025	0.003532	0.002305	-1.097182
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2	train	H0	H04	1,000	1,000	30	28.9	28.4	-1.261102	1.278837	1.086494	1.086199	1.706438	1.813327	1.64791	-1.261102	1.278837	0.191679	1.179828	1.579481	1.635457	0.317285	0.34368	-1.305628
2	train	H1	H04	1,000	1,000	30	28.7	30.1	-1.034891	1.046721	0.809287	0.80983	1.204767	1.326875	1.267345	0.80983	1.046721	0.285309	0.655824	0.937173	1.095771	0.076175	0.065653	-1.068469
2	train	H0	H04	20	20	40	30	45	1.002084	-1.027628	-0.858006	-0.850442	1.186225	2.460738	1.101352	1.002084	1.027628	0.26681	0.723252	1.001051	1.049449	0.087918	0.130979	1.110438
2	train	H1	H04	20	20	40	40	25	-0.555442	0.495698	0.70053	0.693397	0.658647	1.5695	0.620194	0.693397	0.70053	0.6008	0.480799	0.309455	0.244915	0.852255	0.770034	-0.523251
2	train	H0	H04	30	30	40	53.333333	50	-0.178011	0.348693	-0.07364	-0.073624	1.547316	2.634031	1.469786	-0.073624	0.348693	0.451555	0.00542	0.045601	0.121212	0.347819	0.257633	-0.330238
2	train	H1	H04	30	30	40	40	36.666667	-0.993093	0.965991	0.987636	0.992073	1.028896	1.943879	1.008505	-0.993093	0.987636	0.317243	0.984209	1.062087	0.93758	0.734353	0.836848	-1.00014
2	train	H0	H04	50	50	40	42	46	0.360642	-0.257863	-0.609447	-0.607094	1.12498	1.209925	1.154931	-0.607094	0.609447	0.561319	0.368563	0.164679	0.066402	0.982809	0.842296	0.273143
2	train	H1	H04	50	50	40	38	34	-0.792778	0.597763	1.021518	1.026709	1.321432	3.109034	1.418703	-0.792778	1.021518	0.375118	1.054131	0.679457	0.357471	1.50566	1.74009	-0.630457
2	train	H0	H04	75	75	40	36	40	-0.191926	0.231195	-0.014385	-0.0143	0.440425	0.697276	0.501518	-0.0143	0.231195	0.77821	0.000204	0.014104	0.053408	0.094612	0.088017	-0.230422
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2	train	H0	H04	100	100	40	41	33	-1.633533	1.674745	1.416938	1.41464	2.926076	3.264925	2.839902	-1.633533	1.674745	0.081856	2.001206	2.697211	2.806021	0.49978	0.560646	-1.740014
2	train	H1	H04	100	100	40	33	40	-0.042296	-0.008552	-0.04156	-0.041811	0.140415	1.894277	0.062424	-0.042296	0.04156	0.594637	0.001748	0.001212	0.000073	0.022117	0.013635	0.026389
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2	train	H0	H04	200	200	40	43	39	-0.358464	0.316063	0.353818	0.352864	0.160497	2.291935	0.129484	0.352864	0.353818	0.514068	0.124513	0.170835	0.099819	0.092555	0.108637	-0.325151
2	train	H1	H04	200	200	40	43	46	-1.23326	1.559377	0.456324	0.456315	7.426744	7.223054	7.463168	0.456315	1.559377	0.023955	0.208223	1.392693	2.432555	1.402938	1.256418	-1.627232
2	train	H0	H04	300	300	40	40.333333	37	-0.885151	0.818074	0.954259	0.953059	0.922953	1.138651	0.912612	0.953059	0.954259	0.398707	0.908321	0.723608	0.669311	0.745657	0.772319	-0.843933
2	train	H1	H04	300	300	40	43.333333	41.333333	-1.014908	1.18274	0.538195	0.537246	3.152381	3.058456	3.124534	0.537246	1.18274	0.20966	0.288634	0.930418	1.398689	0.229256	0.169824	-1.217329
2	train	H0	H04	500	500	40	43.4	36.6	-2.766609	2.578833	2.931312	2.93621	8.622331	8.895435	8.626458	2.93621	2.931312	0.007866	8.621332	7.786304	6.658251	6.247733	6.404372	-2.657775
2	train	H1	H04	500	500	40	37.6	44	-0.675459	0.828533	0.275776	0.276525	1.874569	2.109582	1.971825	0.276525	0.828533	0.373099	0.076466	0.381169	0.687065	0.253269	0.276233	-0.853636
2	train	H0	H04	1,000	1,000	40	41.9	39.8	-0.80277	0.70277	0.974638	0.97412	1.111548	1.108632	1.109872	-0.80277	0.974638	0.468693	0.94891	0.673958	0.493809	1.122253	1.092964	-0.724607
2	train	H1	H04	1,000	1,000	40	39.2	38.9	-3.884049	4.00166	3.353862	3.378282	15.934298	16.821329	16.286307	-3.884049	4.00166	0.000037	11.412792	14.507127	16.060198	2.435182	2.464869	-4.125141
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2	train	H1	H04	20	20	50	40	45	-0.232799	0.386653	-0.103207	-0.102923	1.467719	1.809385	1.388879	-0.102923	0.386653	0.499354	0.010593	0.052666	0.148837	0.396358	0.266337	-0.387898
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2	train	H0	H04	50	50	50	48	52	0.721693	-0.326316	-1.211611	-1.233518	6.97113	8.762609	6.721486	-1.233518	1.211611	0.032619	1.521567	0.414216	0.106569	5.351253	5.029067	0.353425
2	train	H1	H04	50	50	50	54	62	0.509449	-0.072426	-0.940493	-0.934033	4.48725	4.951854	4.587582	-0.934033	0.940493	0.100883	0.872418	0.178155	0.005236	3.123968	3.024745	0.096668
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2	train	H1	H04	100	100	50	48	52	0.048199	-0.163734	0.133879	0.133781	0.51634	0.563268	0.501934	0.133781	0.163734	0.778048	0.017897	0.004169	0.02679	0.330317	0.307776	0.166238
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2	train	H0	H05	75	75	0	0	0	-1.610615	1.610615	1.627397	1.640098	3.261103	6.03877	2.823933	1.640098	1.627397	0.10845	2.689921	3.201197	2.604327	1.415844	1.784328	-1.605201
2	train	H1	H05	75	75	0	0	0	1.137015	-1.137015	-1.106897	-1.11131	1.248278	6.675999	1.347115	1.137015	1.137015	0.082974	1.235009	1.046926	1.293932	0.593305	0.49152	1.133193
2	train	H0	H05	100	100	0	0	0	0.356735	-0.356735	-1.071096	-1.073693	2.68404	2.646018	2.644944	-1.073693	1.071096	0.266476	1.152817	0.423696	0.12709	2.219151	2.121362	0.35763
2	train	H1	H05	100	100	0	0	0	1.922947	-1.922947	-2.303306	-2.35647	5.940386	10.471697	5.685308	-2.35647	2.303306	0.014954	5.552951	4.390215	3.714374	4.76299	4.600884	1.927773
2	train	H0	H05	150	150	0	0	0	-0.758736	0.758736	-0.59474	-0.598755	7.477921	7.238149	7.531456	-0.758736	0.758736	0.023151	0.358508	0.062543	0.57591	3.585145	3.453569	-0.760004
2	train	H1	H05	150	150	0	0	0	0.978371	-0.978371	-0.429447	-0.427856	1.534021	1.336193	1.695715	0.978371	0.978371	0.327083	0.183061	0.5897	0.957251	0.067238	0.045111	0.980005
2	train	H0	H05	200	200	0	0	0	-0.627085	0.627085	0.94094	0.939903	1.195378	1.623737	1.035603	0.939903	0.94094	0.530089	0.883417	0.500899	0.392941	1.088377	1.0303	-0.62787
2	train	H1	H05	200	200	0	0	0	1.274929	-1.274929	-0.872816	-0.87331	1.911883	3.541414	1.858915	-0.87331	1.274929	0.20177	0.762671	1.438839	1.626502	0.061534	0.046822	1.276525
2	train	H0	H05	300	300	0	0	0	-0.399418	0.399418	-0.151706	-0.151751	1.69529	3.317802	1.189257	-0.399418	0.399418	0.345173	0.023028	0.067048	0.159455	0.433951	0.376526	-0.399752
2	train	H1	H05	300	300	0	0	0	0.752677	-0.752677	-0.470057	-0.469099	0.632301	0.702556	0.70455	0.752677	0.752677	0.451266	0.220054	0.39632	0.566485	0.002555	0.006643	0.753305
2	train	H0	H05	500	500	0	0	0	-2.661259	2.661259	1.753527	1.758763	9.982407	11.765256	8.361383	-2.661259	2.661259	0.007754	3.093247	6.299132	7.097079	0.082208	0.113981	-2.66259
2	train	H1	H05	500	500	0	0	0	4.016961	-4.016961	-3.668024	-3.696081	15.7473	18.061642	16.364347	4.016961	4.016961	0.000058	13.661013	15.923665	16.213329	5.961226	5.91086	4.018971
2	train	H0	H05	1,000	1,000	0	0	0	-0.116238	0.116238	-0.242598	-0.24232	0.385942	0.828823	0.486104	-0.116238	0.242598	0.784231	0.058719	0.000578	0.013509	0.275479	0.291524	-0.116267
2	train	H1	H05	1,000	1,000	0	0	0	3.87883	-3.87883	-2.564611	-2.569214	17.851439	18.590569	17.642231	3.87883	3.87883	0.000105	6.600863	12.56209	15.077702	0.434639	0.435624	3.8798
2	train	H0	H05	20	20	10	30	0	-0.927157	0.942483	0.422984	0.42661	2.464871	3.722693	2.185049	-0.927157	0.942483	0.293007	0.181996	0.600491	0.881862	0.134272	0.068405	-0.981764
2	train	H1	H05	20	20	10	10	5	-0.418091	0.416272	0.213215	0.209135	0.357123	0.417044	0.316205	-0.418091	0.416272	0.672798	0.043737	0.130549	0.171821	0.000024	0.001187	-0.42231
2	train	H0	H05	30	30	10	3.333333	13.333333	0.645655	-0.635449	-0.864818	-0.855962	0.878637	1.91061	0.816526	0.645655	0.864818	0.516088	0.73267	0.511902	0.401634	0.619943	0.511655	0.649388
2	train	H1	H05	30	30	10	13.333333	3.333333	1.019307	-1.037761	-0.122921	-0.122635	5.18163	6.685123	4.441141	1.019307	1.037761	0.082641	0.015039	0.562243	1.082099	0.781156	0.594883	1.029639
2	train	H0	H05	50	50	10	6	10	-0.237161	0.212028	0.564166	0.56153	0.821729	1.433011	0.670788	0.56153	0.564166	0.697815	0.315316	0.102923	0.044786	0.764838	0.674455	-0.217278
2	train	H1	H05	50	50	10	16	8	1.420072	-1.476814	-0.602569	-0.599237	4.724044	4.789435	4.475312	1.420072	1.476814	0.106708	0.359085	1.469936	2.191136	0.225969	0.134697	1.482079
2	train	H0	H05	75	75	10	8	9.333333	-1.099542	1.103179	0.568085	0.570521	2.684178	3.259513	2.071247	0.570521	1.103179	0.268186	0.325494	1.051734	1.221539	0.078169	0.040407	-1.107249
2	train	H1	H05	75	75	10	13.333333	5.333333	-0.209513	0.220259	-0.12162	-0.122345	0.536126	0.551854	0.59084	-0.122345	0.220259	0.744219	0.014968	0.00592	0.048442	0.218519	0.197951	-0.227454
2	train	H0	H05	100	100	10	8	10	1.369825	-1.388218	-1.268366	-1.27914	1.687331	7.820275	1.890692	1.369825	1.388218	0.049876	1.6362	1.698783	1.930708	0.676075	0.607138	1.390943
2	train	H1	H05	100	100	10	12	8	-0.573123	0.552643	0.702276	0.701137	0.503144	4.436172	0.508385	0.701137	0.702276	0.218055	0.491593	0.479685	0.304882	0.495191	0.633205	-0.556867
2	train	H0	H05	150	150	10	10.666667	8.666667	-0.530823	0.519322	0.677907	0.676115	0.530376	0.869405	0.485925	0.676115	0.677907	0.600534	0.457132	0.311988	0.269521	0.489619	0.450368	-0.523633
2	train	H1	H05	150	150	10	13.333333	10	-0.802624	0.809997	0.621861	0.619392	0.6927	0.729055	0.69891	-0.802624	0.809997	0.414684	0.383646	0.578318	0.655806	0.078798	0.088974	-0.815679
2	train	H0	H05	200	200	10	9.5	9	1.292735	-1.302534	-1.133531	-1.1326	1.502846	3.078752	1.674583	1.292735	1.302534	0.189223	1.282784	1.505059	1.697334	0.398162	0.345984	1.31288
2	train	H1	H05	200	200	10	9.5	6	-0.166483	0.161518	0.135081	0.134707	0.068181	1.475322	0.028438	0.134707	0.161518	0.687978	0.018146	0.034824	0.026062	0.010391	0.025055	-0.161877
2	train	H0	H05	300	300	10	13	7	0.661868	-0.704569	-0.048475	-0.048353	1.625221	2.46343	1.860338	0.661868	0.704569	0.394487	0.002338	0.220993	0.496523	0.443862	0.469769	0.708838
2	train	H1	H05	300	300	10	10	10.333333	3.047863	-3.092709	-2.067354	-2.07521	11.24086	12.188552	11.384898	3.047863	3.092709	0.00181	4.306497	7.928109	9.61028	0.273041	0.272488	3.119762
2	train	H0	H05	500	500	10	10	10.8	-1.029803	1.033897	0.69207	0.691586	1.495792	1.983347	1.315813	0.691586	1.033897	0.297874	0.478292	0.912624	1.069244	0.01601	0.023545	-1.041004
2	train	H1	H05	500	500	10	9.8	10.2	1.71232	-1.706595	-1.682317	-1.684165	2.93217	4.280773	3.051922	1.71232	1.706595	0.085559	2.836411	2.906454	2.913768	1.432972	1.381321	1.719305
2	train	H0	H05	1,000	1,000	10	10.5	10.3	-0.911566	0.95416	0.123159	0.12321	3.378733	3.556276	3.189302	-0.911566	0.95416	0.202979	0.015181	0.480755	0.910498	0.656127	0.656029	-0.961568
2	train	H1	H05	1,000	1,000	10	8	11.2	3.738859	-3.723609	-3.492755	-3.499484	13.930942	13.629422	14.137403	3.738859	3.723609	0.000178	12.246389	13.758269	13.884022	5.446835	5.551694	3.748829

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