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	H03	20	20	40	45	50	0.110144	-0.187019	-0.028331	-0.028043	0.045304	5.304155	0.107616	0.110144	0.187019	0.150833	0.000786	0.00111	0.03483	0.036246	0.106153	0.201711
2	train	H0	H03	30	30	40	26.666667	33.333333	-0.264066	0.44087	-0.378448	-0.381733	4.422729	7.361499	3.97737	-0.381733	0.44087	0.061226	0.14572	0.022937	0.19396	2.030079	1.809469	-0.424778
2	train	H1	H03	30	30	40	26.666667	43.333333	-0.234156	0.364969	-0.154274	-0.152963	1.084103	1.687154	1.282011	-0.234156	0.364969	0.526762	0.023398	0.012829	0.133205	0.446365	0.47958	-0.372671
2	train	H0	H03	50	50	40	50	32	-2.374437	2.507152	1.868569	1.858642	7.553531	7.505329	7.503087	-2.374437	2.507152	0.008939	3.454548	5.386439	6.312166	0.065968	0.129341	-2.614392
2	train	H1	H03	50	50	40	44	46	-0.462357	0.656173	0.162533	0.161464	0.968347	3.360842	1.16198	0.161464	0.656173	0.339264	0.026071	0.168068	0.430772	0.138091	0.148273	-0.680345
2	train	H0	H03	75	75	40	30.666667	33.333333	0.599998	-0.65028	-0.361544	-0.360431	0.723109	0.776426	0.739088	0.599998	0.65028	0.505037	0.12991	0.295639	0.422283	0.027622	0.028603	0.666586
2	train	H1	H03	75	75	40	38.666667	37.333333	-1.825304	1.992761	1.316353	1.320054	4.636423	6.031453	5.049915	-1.825304	1.992761	0.039512	1.742542	2.963992	4.017302	0.000726	0.001775	-2.058814
2	train	H0	H03	100	100	40	40	43	0.368459	-0.312422	-0.548802	-0.546507	0.625517	1.924858	0.526678	-0.546507	0.548802	0.588148	0.29867	0.124344	0.097472	0.429002	0.41074	0.329949
2	train	H1	H03	100	100	40	26	34	1.23938	-1.182263	-1.513007	-1.514792	2.672641	3.877963	2.570085	-1.514792	1.513007	0.223948	2.294595	1.680348	1.397516	2.251273	2.05416	1.216098
2	train	H0	H03	150	150	40	40.666667	40.666667	0.860368	-0.863428	-0.829372	-0.830102	0.785378	1.765232	0.741621	0.860368	0.863428	0.372605	0.689069	0.859686	0.74602	0.277768	0.296451	0.891604
2	train	H1	H03	150	150	40	34.666667	44.666667	-0.582987	0.976824	-0.502699	-0.502675	12.803794	12.52545	12.964148	-0.502675	0.976824	0.001531	0.252682	0.176127	0.956141	5.978231	5.790392	-0.999532
2	train	H0	H03	200	200	40	38.5	39.5	0.135174	-0.04466	-0.24201	-0.241409	0.086728	2.180007	0.147904	0.135174	0.24201	0.535897	0.058278	0.040444	0.001993	0.10225	0.124962	0.047781
2	train	H1	H03	200	200	40	39.5	41	-1.065503	1.366941	0.325276	0.324462	5.34851	8.042758	6.067617	0.324462	1.366941	0.045136	0.105275	0.846781	1.869793	1.180731	1.191926	-1.408775
2	train	H0	H03	300	300	40	42	40.666667	0.344926	-0.47308	0.030908	0.030868	1.58183	1.744391	1.494794	0.344926	0.47308	0.473598	0.000953	0.092718	0.223665	0.488805	0.513509	0.49509
2	train	H1	H03	300	300	40	39	41.333333	-1.941919	2.368956	0.83003	0.831218	13.574322	18.637451	14.986342	0.831218	2.368956	0.000325	0.690924	3.013912	5.637354	2.218677	2.385064	-2.453159
2	train	H0	H03	500	500	40	38.6	39.2	1.553257	-1.653042	-1.139051	-1.139469	3.528145	3.524921	3.479888	-1.139469	1.653042	0.084897	1.29839	2.239486	2.73271	0.027075	0.034748	1.722955
2	train	H1	H03	500	500	40	39	39.8	-2.390302	2.804559	1.240225	1.24142	14.976982	19.522834	16.45828	-2.390302	2.804559	0.000213	1.541124	4.632362	7.88564	1.370409	1.377823	-2.90433
2	train	H0	H03	1,000	1,000	40	42.1	39.5	-1.165756	1.156993	1.176535	1.176063	1.38649	2.604043	1.409763	1.176063	1.176535	0.225766	1.383125	1.288167	1.338748	0.831378	0.811257	-1.211339
2	train	H1	H03	1,000	1,000	40	37.2	41.5	-1.106328	1.651289	-0.048741	-0.048834	9.767084	23.525928	12.903056	-0.048834	1.651289	0.000031	0.002385	0.565133	2.730827	4.225064	4.2578	-1.717197
2	train	H0	H03	20	20	50	50	30	-0.120311	-0.066581	0.62811	0.610781	2.344629	2.559383	2.228515	-0.120311	0.62811	0.328159	0.373054	0.028514	0.004417	1.890685	1.653836	0.057241
2	train	H1	H03	20	20	50	60	30	-2.161166	2.095348	1.989446	1.998579	4.920156	9.306121	5.050045	1.998579	2.095348	0.025486	3.994318	4.179801	4.477703	1.026164	0.946848	-2.148187
2	train	H0	H03	30	30	50	43.333333	33.333333	0.108237	-0.157012	0.025066	0.024663	0.148915	0.392298	0.171816	0.024663	0.157012	0.875383	0.000608	0.002141	0.024502	0.162743	0.235908	0.156825
2	train	H1	H03	30	30	50	56.666667	40	-1.318081	1.126854	1.692574	1.697765	4.935974	6.418528	4.819341	1.697765	1.692574	0.089845	2.882405	1.868689	1.269818	4.912849	4.799803	-1.170782
2	train	H0	H03	50	50	50	52	40	-1.982393	2.021697	1.822391	1.826922	4.088416	4.05042	4.08767	-1.982393	2.021697	0.034069	3.337645	3.980651	4.11965	1.140304	1.36871	-2.119257
2	train	H1	H03	50	50	50	50	62	0.883531	-0.451218	-1.360336	-1.373228	7.027685	6.989174	7.020949	-1.373228	1.360336	0.029883	1.885754	0.735964	0.20342	5.437857	5.344321	0.493432
2	train	H0	H03	75	75	50	57.333333	41.333333	-1.129926	0.9052	1.425883	1.428854	3.021732	3.08773	2.999336	-1.129926	1.425883	0.223204	2.041623	1.284207	0.818073	3.335778	3.338072	-0.938884
2	train	H1	H03	75	75	50	58.666667	40	-2.034483	1.943615	2.151702	2.157425	4.700313	5.211832	4.678406	2.157425	2.151702	0.041833	4.654482	4.02667	3.779433	3.060318	3.297596	-2.035182
2	train	H0	H03	100	100	50	52	46	-0.129565	0.23716	-0.08892	-0.088848	0.720002	2.14198	0.58636	-0.088848	0.23716	0.543467	0.007894	0.031888	0.056172	0.182026	0.123321	-0.247993
2	train	H1	H03	100	100	50	52	48	-1.195892	1.286315	0.932626	0.931747	2.220234	2.185923	2.20504	-1.195892	1.286315	0.178805	0.868153	1.385505	1.654783	0.030963	0.042021	-1.344445
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2	train	H1	H03	150	150	50	50.666667	56.666667	0.001372	0.358075	-0.264854	-0.264721	0.582633	10.169858	0.938308	-0.264721	0.358075	0.017176	0.070077	0.000003	0.128223	0.526275	0.655914	-0.374583
2	train	H0	H03	200	200	50	50.5	47	-0.177861	-0.052883	0.545841	0.54461	2.10576	3.412327	1.917515	0.54461	0.545841	0.332312	0.296601	0.012389	0.002795	1.383137	1.264729	0.053163
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2	train	H0	H03	300	300	50	43	51.666667	0.346429	0.064341	-1.105311	-1.104527	8.685085	11.011405	8.159542	-1.104527	1.105311	0.011664	1.21998	0.098741	0.004141	5.792693	5.58697	-0.064148
2	train	H1	H03	300	300	50	42.666667	51.666667	-0.461098	0.957903	-0.438768	-0.438919	9.265539	10.303414	9.796623	-0.438919	0.957903	0.007459	0.19265	0.144077	0.919331	4.439995	4.386233	-1.000608
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2	train	H1	H03	500	500	50	49.2	51.8	-1.570217	2.071752	0.784831	0.786205	9.768533	21.531109	10.972543	-1.570217	2.071752	0.000082	0.618118	2.124221	4.300464	1.43235	1.468896	-2.16567
2	train	H0	H03	1,000	1,000	50	49	48.7	-0.343812	0.133983	0.70281	0.703847	2.203529	3.166698	2.045051	0.703847	0.70281	0.359685	0.495401	0.097228	0.017949	1.655111	1.650584	-0.141394
2	train	H1	H03	1,000	1,000	50	50	47.4	-4.295048	5.071227	2.847032	2.851406	37.859515	53.968206	41.156806	-4.295048	5.071227	0	8.130515	17.330785	25.804284	1.271097	1.302673	-5.278048
2	train	H0	H04	20	20	0	0	0	0.757402	-0.757402	-0.103091	-0.101919	2.145066	2.253297	2.093352	-0.101919	0.757402	0.351103	0.010388	0.276362	0.572367	0.408159	0.329541	0.767051
2	train	H1	H04	20	20	0	0	0	-0.622152	0.622152	0.924049	0.915583	0.997781	1.03986	1.022829	0.915583	0.924049	0.528644	0.838292	0.581506	0.384238	1.230638	1.276639	-0.630078
2	train	H0	H04	30	30	0	0	0	-0.694868	0.694868	0.067332	0.066147	1.643558	1.559426	1.776049	-0.694868	0.694868	0.411468	0.004375	0.19903	0.481185	0.359463	0.303134	-0.700732
2	train	H1	H04	30	30	0	0	0	0.975772	-0.975772	-1.38361	-1.402302	2.496233	2.91605	2.380081	-1.402302	1.38361	0.304209	1.966452	1.330466	0.949692	2.075179	1.967346	0.984007
2	train	H0	H04	50	50	0	0	0	-1.068542	1.068542	1.259741	1.256716	1.579712	1.588002	1.584598	1.256716	1.259741	0.282856	1.579336	1.41739	1.141181	1.347709	1.391332	-1.073925
2	train	H1	H04	50	50	0	0	0	-1.130586	1.130586	1.475034	1.482012	2.283805	2.359397	2.334923	-1.130586	1.475034	0.255839	2.196359	1.763751	1.280533	2.247299	2.342886	-1.136282
2	train	H0	H04	75	75	0	0	0	1.479059	-1.479059	-0.807461	-0.805826	3.733589	4.376769	3.206475	1.479059	1.479059	0.140458	0.649355	1.714975	2.191805	0.007254	0.000003	1.474088
2	train	H1	H04	75	75	0	0	0	-0.881422	0.881422	0.544158	0.539004	0.652467	1.877223	0.992989	-0.881422	0.881422	0.379695	0.290525	0.495361	0.77629	0.004594	0.000519	-0.878459
2	train	H0	H04	100	100	0	0	0	-0.090405	0.090405	0.416085	0.413768	0.239362	2.247892	0.474089	0.413768	0.416085	0.522577	0.171204	0.088318	0.008163	0.436455	0.539781	-0.090632
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2	train	H1	H04	150	150	0	0	0	-0.88253	0.88253	0.803306	0.799667	0.711015	1.128677	0.782788	-0.88253	0.88253	0.376694	0.639467	0.724396	0.778427	0.279535	0.257007	-0.884005
2	train	H0	H04	200	200	0	0	0	0.423823	-0.423823	-0.864032	-0.865891	1.750264	3.123612	1.217157	0.423823	0.864032	0.372956	0.749767	0.257743	0.179505	1.156348	1.0768	0.424354
2	train	H1	H04	200	200	0	0	0	-1.9591	1.9591	1.331746	1.329671	3.133172	5.146446	4.425951	-1.9591	1.9591	0.049814	1.768025	2.698912	3.849968	0.086441	0.071335	-1.961554
2	train	H0	H04	300	300	0	0	0	-0.454998	0.454998	0.64754	0.646312	0.446958	0.973567	0.463983	-0.454998	0.64754	0.648838	0.417719	0.294109	0.206902	0.473379	0.525335	-0.455377
2	train	H1	H04	300	300	0	0	0	-1.252892	1.252892	0.916541	0.914961	1.518818	2.970835	1.691987	-1.252892	1.252892	0.209865	0.837154	1.340252	1.570382	0.107607	0.089049	-1.253938
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2	train	H0	H04	75	75	10	5.333333	6.666667	-0.864611	0.854039	0.908872	0.907607	0.843577	0.92319	0.839882	-0.864611	0.908872	0.39265	0.82375	0.824454	0.729241	0.574559	0.553488	-0.854822
2	train	H1	H04	75	75	10	9.333333	2.666667	-1.967361	1.943004	2.363084	2.40942	6.096137	6.199664	6.018999	2.40942	2.363084	0.049316	5.805305	4.606618	3.78606	5.488171	5.513058	-1.940368
2	train	H0	H04	100	100	10	11	7	-1.274216	1.333048	0.348442	0.347029	3.754519	4.192656	4.607708	-1.274216	1.333048	0.099873	0.120429	0.873949	1.780839	0.699066	0.67263	-1.344515
2	train	H1	H04	100	100	10	16	12	-1.81378	1.840656	1.452745	1.452201	3.221113	4.861461	3.486197	-1.81378	1.840656	0.062513	2.108889	2.91775	3.398349	0.371293	0.322691	-1.86264
2	train	H0	H04	150	150	10	8	5.333333	1.053953	-1.028966	-1.674132	-1.705695	4.502506	5.380437	4.193278	-1.705695	1.674132	0.122869	2.909395	1.665612	1.058745	4.025876	3.956485	1.019054
2	train	H1	H04	150	150	10	11.333333	11.333333	-0.802888	0.855176	-0.003873	-0.003865	2.250703	5.611443	3.363671	-0.003865	0.855176	0.132123	0.000015	0.187734	0.73217	0.912612	1.025526	-0.860363
2	train	H0	H04	200	200	10	12	8	-1.493771	1.501032	1.125779	1.126987	2.996287	4.61669	2.454971	-1.493771	1.501032	0.130156	1.270099	2.182788	2.254367	0.148037	0.19426	-1.513486
2	train	H1	H04	200	200	10	8	11.5	0.509802	-0.462061	-1.431158	-1.43724	5.671166	6.044856	5.130446	0.509802	1.431158	0.076902	2.06566	0.627951	0.213354	4.48691	4.313366	0.470105
2	train	H0	H04	300	300	10	10.333333	11	-1.029235	1.024255	1.140712	1.142586	1.336451	2.362791	1.305664	-1.029235	1.140712	0.301817	1.305502	1.08032	1.049722	0.980954	0.957868	-1.032545
2	train	H1	H04	300	300	10	9.666667	11.333333	-0.952925	1.013992	-0.256151	-0.256806	6.895347	8.403619	7.398728	-0.952925	1.013992	0.024739	0.065949	0.283297	1.029213	2.731866	2.748448	-1.01961
2	train	H0	H04	500	500	10	7.6	10.4	0.340584	-0.287962	-1.466484	-1.46886	7.806686	9.549162	6.668615	-1.46886	1.466484	0.022814	2.157549	0.452468	0.082903	5.458611	5.287251	0.291829
2	train	H1	H04	500	500	10	9.8	9.4	-1.55248	1.57062	1.119465	1.118556	2.477788	3.849893	2.757259	-1.55248	1.57062	0.113895	1.251167	2.011846	2.467959	0.107312	0.088063	-1.580926
2	train	H0	H04	1,000	1,000	10	10.7	10.8	0.152021	-0.18406	0.335654	0.335602	0.873061	2.515157	1.106889	0.335602	0.335654	0.472558	0.112629	0.00097	0.033873	0.64677	0.675726	0.185395
2	train	H1	H04	1,000	1,000	10	11.2	10	-3.909667	3.93202	3.06498	3.070398	16.178189	15.852151	16.219058	-3.909667	3.93202	0.000076	9.427342	13.829563	15.490815	1.480404	1.552466	-3.957988
2	train	H0	H04	20	20	20	10	30	2.400257	-2.373942	-2.38777	-2.497924	6.303042	6.325338	6.301085	-2.497924	2.38777	0.01411	6.239627	6.204568	5.756244	3.901144	3.933293	2.454446
2	train	H1	H04	20	20	20	30	30	-1.027103	1.161384	0.388847	0.383038	4.492978	5.015997	4.224274	0.383038	1.161384	0.120979	0.146718	0.859075	1.350472	0.971712	0.65293	-1.141174
2	train	H0	H04	30	30	20	13.333333	13.333333	-0.905859	0.935562	0.611713	0.607091	0.990987	1.254837	1.093513	-0.905859	0.935562	0.339195	0.368559	0.655182	0.878475	0.014785	0.018798	-0.955757
2	train	H1	H04	30	30	20	23.333333	20	-1.128014	1.189246	0.682988	0.683671	2.103539	2.143395	2.273791	0.683671	1.189246	0.221096	0.467406	0.960384	1.420623	0.029392	0.015505	-1.223619
2	train	H0	H04	50	50	20	18	26	1.785005	-1.767934	-1.913743	-1.951668	3.809016	5.274417	3.82182	-1.951668	1.913743	0.074147	3.809006	3.744053	3.140059	2.814503	3.015096	1.785702
2	train	H1	H04	50	50	20	8	26	0.125559	-0.078515	-0.631721	-0.625974	1.640398	1.605135	1.607928	0.125559	0.631721	0.447551	0.391843	0.091438	0.006146	1.072358	1.001315	0.087219
2	train	H0	H04	75	75	20	20	24	-0.183319	0.157865	0.336121	0.337418	0.45128	5.332046	0.244766	-0.183319	0.336121	0.149036	0.113851	0.020326	0.024869	0.277521	0.199776	-0.161171
2	train	H1	H04	75	75	20	18.666667	24	1.039264	-1.049105	-0.853993	-0.856329	1.524492	6.621191	1.156945	-0.856329	1.049105	0.085004	0.7333	1.216825	1.101112	0.163882	0.237411	1.062816
2	train	H0	H04	100	100	20	19	16	-0.2743	0.170081	1.14351	1.156595	5.948835	6.649945	5.489309	1.156595	1.14351	0.064271	1.337711	0.289623	0.028895	4.225232	4.137691	-0.167645
2	train	H1	H04	100	100	20	23	25	0.023309	-0.020795	0.099189	0.099165	0.281992	3.725842	0.103901	0.099165	0.099189	0.292631	0.009834	0.003141	0.000432	0.074643	0.047163	0.019464
2	train	H0	H04	150	150	20	21.333333	24	0.440718	-0.446091	-0.449472	-0.447886	0.213655	2.948827	0.205952	0.440718	0.449472	0.399583	0.200602	0.1582	0.198819	0.097785	0.068318	0.453218
2	train	H1	H04	150	150	20	20	17.333333	-0.540718	0.542665	0.429521	0.428172	0.496765	2.545391	0.317411	0.428172	0.542665	0.467144	0.183331	0.342572	0.294146	0.037106	0.057891	-0.549986
2	train	H0	H04	200	200	20	20.5	20.5	0.22627	-0.202945	-0.192739	-0.19268	0.106023	1.28125	0.052237	-0.19268	0.202945	0.73359	0.037125	0.062532	0.041163	0.004474	0.010121	0.206766
2	train	H1	H04	200	200	20	20	21.5	-0.205065	0.155353	0.388981	0.388615	0.326692	0.382437	0.301013	0.388615	0.388981	0.860272	0.151022	0.052646	0.024115	0.320063	0.345104	-0.156436
2	train	H0	H04	300	300	20	17.666667	20.333333	-0.742119	0.836601	-0.117117	-0.117091	4.458595	4.505924	4.238617	-0.742119	0.836601	0.120115	0.01371	0.253921	0.700393	1.402278	1.302073	-0.847534
2	train	H1	H04	300	300	20	21	21	-0.754162	0.753849	0.776052	0.775713	0.605381	3.083003	0.613474	0.775713	0.776052	0.379004	0.60173	0.521248	0.568223	0.398678	0.341411	-0.768469
2	train	H0	H04	500	500	20	20.2	20	1.397034	-1.340995	-1.571505	-1.576049	2.49954	5.550754	2.496862	-1.576049	1.571505	0.135634	2.48393	2.423123	1.798969	1.946174	2.001582	1.359256
2	train	H1	H04	500	500	20	20.4	21.4	-1.687071	1.753042	1.17286	1.173932	3.296527	5.15589	3.725143	-1.687071	1.753042	0.075358	1.378117	2.356551	3.074691	0.035615	0.027386	-1.778276
2	train	H0	H04	1,000	1,000	20	19.7	19.4	-0.495604	0.513631	0.453439	0.453231	0.24943	0.370157	0.245639	-0.495604	0.513631	0.602811	0.205418	0.269954	0.263775	0.08475	0.075447	-0.520363
2	train	H1	H04	1,000	1,000	20	20.7	20.1	-2.061306	2.134977	1.296461	1.297594	7.134802	7.861179	6.364542	-2.061306	2.134977	0.030309	1.68375	3.818459	4.5605	0.005737	0.00406	-2.166026

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