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	H29	20	20	20	20	20	1.582009	-1.60912	-1.249903	-1.274868	2.851225	3.002113	2.867501	1.582009	1.60912	0.100098	1.625289	2.235091	2.607358	0.255326	0.257717	1.644379
6	train	H0	H29	30	30	20	23.333333	13.333333	-0.939634	0.946337	1.057515	1.049206	1.10312	1.214114	1.106975	1.049206	1.057515	0.328253	1.100834	1.064402	0.894646	1.073715	1.192543	-0.977639
6	train	H1	H29	30	30	20	16.666667	13.333333	0.071459	-0.137212	0.424647	0.420125	0.808923	5.810834	1.389642	0.071459	0.424647	0.121185	0.176505	0.040196	0.018864	0.884291	1.181723	0.137195
6	train	H0	H29	50	50	20	14	20	0.238782	-0.180833	-0.526364	-0.522799	0.838359	2.186518	0.648015	-0.522799	0.526364	0.534609	0.273318	0.071364	0.032592	0.556496	0.471657	0.189525
6	train	H1	H29	50	50	20	22	14	-0.186964	0.242779	-0.256695	-0.258005	1.850569	6.664969	1.241791	-0.258005	0.256695	0.083379	0.066567	0.024033	0.058825	0.642584	0.454861	-0.245289
6	train	H0	H29	75	75	20	18.666667	29.333333	1.146181	-0.986453	-1.587624	-1.600666	3.613187	3.781509	3.521733	-1.600666	1.587624	0.171896	2.562131	1.514804	0.971642	3.344191	3.299724	0.991766
6	train	H1	H29	75	75	20	20	26.666667	0.749152	-0.798863	-0.403437	-0.402291	0.761282	4.800465	1.186801	-0.402291	0.798863	0.187005	0.161838	0.301396	0.638649	0.033145	0.040575	0.813263
6	train	H0	H29	100	100	20	23	20	-0.937401	1.01021	0.370422	0.368896	2.472871	2.51109	2.589381	-0.937401	1.01021	0.273983	0.136084	0.592675	1.020362	0.262822	0.231387	-1.01881
6	train	H1	H29	100	100	20	20	23	1.743413	-1.818237	-1.126848	-1.127446	4.343515	4.815083	4.53469	1.743413	1.818237	0.063617	1.271135	2.461254	3.310955	0.003398	0.004748	1.854854
6	train	H0	H29	150	150	20	28.666667	20.666667	-2.212859	2.230068	2.064163	2.067183	4.941148	5.047363	4.914843	-2.212859	2.230068	0.023872	4.273245	4.890711	4.990092	1.761507	1.685103	-2.259182
6	train	H1	H29	150	150	20	18.666667	18.666667	1.146122	-1.1741	-0.826372	-0.824823	1.378088	2.044454	1.6179	1.146122	1.1741	0.232145	0.680333	1.011051	1.378552	0.033398	0.029696	1.194851
6	train	H0	H29	200	200	20	20	18.5	-0.512609	0.484246	0.690116	0.688512	0.636077	1.088264	0.558475	0.688512	0.690116	0.622746	0.474049	0.284918	0.234328	0.572579	0.602069	-0.491963
6	train	H1	H29	200	200	20	17.5	19	2.486942	-2.572047	-1.584699	-1.58339	7.865974	9.907893	9.006089	2.486942	2.572047	0.009215	2.507122	4.758892	6.640895	0.010706	0.007687	2.603967
6	train	H0	H29	300	300	20	18.666667	19.666667	0.344868	-0.345463	-0.291799	-0.291387	0.086109	2.995737	0.122607	0.344868	0.345463	0.392283	0.084907	0.059074	0.119292	0.016461	0.009661	0.34895
6	train	H1	H29	300	300	20	18.333333	21.666667	0.961644	-1.03278	-0.244324	-0.243841	2.715048	3.561035	3.369529	-0.243841	1.03278	0.185488	0.059458	0.455552	1.066949	0.545074	0.576937	1.047262
6	train	H0	H29	500	500	20	20.8	19	0.440608	-0.461311	-0.239049	-0.238772	0.298903	0.238057	0.355259	-0.238772	0.461311	0.640169	0.057012	0.126968	0.212774	0.00917	0.008466	0.467463
6	train	H1	H29	500	500	20	19	18.6	2.325735	-2.518457	-0.861731	-0.862249	9.648606	25.719017	14.634547	-0.862249	2.518457	0.000011	0.743473	2.766562	6.36554	1.189043	1.228362	2.555299
6	train	H0	H29	1,000	1,000	20	20.5	19.8	-0.221604	0.069229	1.285849	1.289067	7.955993	8.249528	7.388222	1.289067	1.285849	0.02487	1.661693	0.230941	0.004792	5.495024	5.486828	-0.071835
6	train	H1	H29	1,000	1,000	20	18.1	19.4	4.149726	-4.322279	-2.807793	-2.81206	15.706216	56.358753	22.782383	4.149726	4.322279	0	7.907684	11.907625	18.756435	0.290231	0.253863	4.388398
6	train	H0	H29	20	20	30	30	45	0.483173	-0.286152	-0.818954	-0.816391	1.778585	1.83555	1.775521	-0.816391	0.818954	0.411576	0.666494	0.267279	0.081619	1.338364	1.315116	0.319642
6	train	H1	H29	20	20	30	20	45	0.337466	-0.377837	-0.325931	-0.324788	0.105491	1.723257	0.115718	-0.324788	0.377837	0.631776	0.105487	0.087848	0.143645	0.010525	0.000023	0.392762
6	train	H0	H29	30	30	30	26.666667	36.666667	0.719294	-0.851208	-0.52933	-0.51925	0.609727	1.594022	0.710348	0.719294	0.851208	0.379443	0.269621	0.533038	0.721115	0.000086	0.000768	0.878923
6	train	H1	H29	30	30	30	26.666667	20	1.084311	-1.22398	-0.179476	-0.179376	6.399901	6.627089	6.675501	1.084311	1.22398	0.035517	0.032176	0.620013	1.506571	1.175	1.082295	1.254569
6	train	H0	H29	50	50	30	30	26	0.346753	-0.379436	-0.315636	-0.312044	0.099432	1.729377	0.122114	-0.312044	0.379436	0.630423	0.097371	0.071037	0.143716	0.016225	0.001142	0.388447
6	train	H1	H29	50	50	30	28	30	2.614019	-2.661943	-2.052752	-2.084042	7.608912	8.257914	7.95777	-2.084042	2.661943	0.005851	4.343231	6.219986	7.228371	0.656856	0.711306	2.756032
6	train	H0	H29	75	75	30	34.666667	26.666667	-1.963865	2.111868	1.364975	1.360196	5.869658	5.983104	5.9297	-1.963865	2.111868	0.03262	1.850134	3.516249	4.479995	0.006649	0.000026	-2.136728
6	train	H1	H29	75	75	30	24	30.666667	2.304336	-2.344411	-2.006461	-2.02665	5.332422	5.608172	5.510264	2.304336	2.344411	0.015565	4.107312	4.9907	5.546015	1.208699	1.277425	2.418961
6	train	H0	H29	100	100	30	24	30	0.390378	-0.399039	-0.287167	-0.286829	0.302407	2.206961	0.199519	-0.286829	0.399039	0.530578	0.082271	0.175643	0.158961	0.000021	0.003367	0.405425
6	train	H1	H29	100	100	30	35	35	0.572246	-0.694615	-0.271152	-0.269997	0.642341	3.635161	0.927165	-0.269997	0.694615	0.303651	0.072898	0.203728	0.482376	0.095311	0.11358	0.718738
6	train	H0	H29	150	150	30	26	28	1.003667	-1.115985	-0.45982	-0.459254	2.179683	8.748013	2.881542	1.003667	1.115985	0.032836	0.210914	0.596364	1.2475	0.189653	0.236114	1.128734
6	train	H1	H29	150	150	30	31.333333	32	0.303877	-0.468203	0.192431	0.192581	1.56031	2.127733	1.845245	0.192581	0.468203	0.397475	0.037088	0.025531	0.21934	0.848945	0.836975	0.482334
6	train	H0	H29	200	200	30	31.5	26.5	-0.941644	0.879701	1.254205	1.253918	2.077965	2.470081	2.009311	-0.941644	1.254205	0.366171	1.57231	1.051894	0.773563	2.110657	2.022833	-0.896105
6	train	H1	H29	200	200	30	28	27.5	-0.017842	-0.129934	0.573413	0.573789	1.739038	4.06434	2.288313	0.573789	0.573413	0.2546	0.329234	0.058055	0.016888	1.57058	1.618791	0.131615
6	train	H0	H29	300	300	30	31	26.333333	-1.749063	1.71421	1.746781	1.750302	3.141583	3.211818	3.16232	-1.749063	1.746781	0.080997	3.063557	3.060138	2.939738	1.819095	1.839155	-1.744928
6	train	H1	H29	300	300	30	29.666667	26.333333	2.115606	-2.360019	-0.785913	-0.785938	15.069004	14.50622	15.445945	2.115606	2.360019	0.000443	0.617699	3.157977	5.583449	1.509178	1.421624	2.408948
6	train	H0	H29	500	500	30	31	28.2	0.579178	-0.747143	0.062644	0.062626	2.424116	8.069803	3.294569	0.062626	0.747143	0.044591	0.003922	0.112816	0.558197	1.018849	1.068747	0.760898
6	train	H1	H29	500	500	30	28.2	27	2.211288	-2.575928	-0.465029	-0.465582	18.934995	38.438521	24.028867	2.211288	2.575928	0	0.216767	2.46983	6.661741	4.043707	4.087389	2.625871
6	train	H0	H29	1,000	1,000	30	29.8	29.2	-0.209982	0.17265	0.326695	0.326516	0.143755	0.640957	0.176033	0.326516	0.326695	0.859877	0.106612	0.06982	0.029803	0.191782	0.200693	-0.176531
6	train	H1	H29	1,000	1,000	30	29.1	29.2	3.470373	-3.850482	-1.749879	-1.750956	23.378832	35.667329	28.426877	3.470373	3.850482	0	3.065848	8.414018	14.86634	1.090846	1.120092	3.943741
6	train	H0	H29	20	20	40	50	40	-0.874926	0.809611	0.932311	0.930942	0.889985	1.221832	0.884055	0.930942	0.932311	0.393092	0.866653	0.747759	0.657497	1.086907	1.077322	-0.854024
6	train	H1	H29	20	20	40	40	30	1.178968	-1.277324	-0.519988	-0.527648	7.05222	7.093036	6.987325	1.178968	1.277324	0.030389	0.278412	0.8947	1.64712	0.50964	0.470395	1.298139
6	train	H0	H29	30	30	40	53.333333	20	-1.765069	1.489074	2.425214	2.445357	10.115442	10.177865	10.146509	2.445357	2.425214	0.006262	5.979769	3.697085	2.22002	10.704288	10.608287	-1.570348
6	train	H1	H29	30	30	40	53.333333	43.333333	1.301986	-1.530894	-0.798243	-0.816708	4.320897	4.837445	4.160394	-0.816708	1.530894	0.101279	0.667012	1.740737	2.393123	0.094804	0.035015	1.638686
6	train	H0	H29	50	50	40	32	28	-0.256393	0.322605	-0.016558	-0.016549	0.671487	0.67872	0.651612	-0.016549	0.322605	0.721945	0.000274	0.044092	0.103825	0.131493	0.115295	-0.333091
6	train	H1	H29	50	50	40	32	34	1.190819	-1.181194	-1.145265	-1.148425	1.460384	2.049747	1.421892	-1.148425	1.181194	0.223037	1.31888	1.506107	1.398822	0.5306	0.725703	1.218492
6	train	H0	H29	75	75	40	30.666667	42.666667	2.143234	-2.142273	-2.020229	-2.030918	4.619295	4.612886	4.617683	2.143234	2.142273	0.029099	4.124629	4.590156	4.601696	1.718716	1.800854	2.182145
6	train	H1	H29	75	75	40	32	44	1.659289	-1.887644	-1.024454	-1.029323	6.191995	6.084815	6.105387	1.659289	1.887644	0.047232	1.059506	2.538197	3.565865	0.071936	0.038966	1.947761
6	train	H0	H29	100	100	40	40	39	-1.009029	0.906991	1.150481	1.154598	1.53959	5.076001	1.449487	1.154598	1.150481	0.166316	1.333097	0.888291	0.823784	1.471144	1.313643	-0.93442
6	train	H1	H29	100	100	40	38	37	1.616954	-1.788933	-0.9104	-0.912082	6.223145	7.028395	6.662048	-0.912082	1.788933	0.035756	0.831894	2.03036	3.224534	0.224311	0.206337	1.835353
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6	train	H1	H29	150	150	40	38	43.333333	1.61778	-1.787051	-1.092424	-1.092751	4.272753	18.170868	5.130998	1.61778	1.787051	0.000406	1.194105	1.968824	3.200193	0.005223	0.00935	1.840315
6	train	H0	H29	200	200	40	43.5	41	-0.262806	0.414796	-0.076883	-0.076873	1.632453	3.470799	1.41288	-0.076873	0.414796	0.324569	0.005909	0.087022	0.172059	0.520956	0.390049	-0.424304
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6	train	H0	H29	300	300	40	35.333333	42	1.574112	-1.369728	-1.956417	-1.958166	4.593302	6.691257	4.773345	-1.958166	1.956417	0.082417	3.834415	2.83379	1.876707	4.568319	4.749366	1.411925
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6	train	H0	H29	75	75	50	46.666667	62.666667	1.93971	-1.613302	-2.163779	-2.172363	5.268042	6.752733	5.340564	1.93971	2.163779	0.069233	4.719161	3.624426	2.605117	4.586239	4.831448	1.681682
6	train	H1	H29	75	75	50	45.333333	44	1.394638	-1.629585	-0.910266	-0.909943	3.495726	3.83157	3.684241	1.394638	1.629585	0.088536	0.827996	1.857616	2.671272	0.039338	0.028819	1.703173
6	train	H0	H29	100	100	50	48	49	0.283027	-0.4014	-0.237847	-0.237058	0.072868	1.707436	0.097969	-0.237058	0.4014	0.635282	0.056197	0.089961	0.161051	0.000973	0.000072	0.415388
6	train	H1	H29	100	100	50	41	59	3.623177	-3.752636	-3.228683	-3.263075	14.606005	18.484377	14.880694	-3.263075	3.752636	0.000083	10.647659	12.613678	14.175448	3.155578	3.150879	3.934545
6	train	H0	H29	150	150	50	53.333333	52.666667	0.66069	-0.648663	-0.59527	-0.594666	0.46498	1.272199	0.492021	-0.594666	0.648663	0.500341	0.353628	0.363792	0.421154	0.05426	0.080722	0.673953
6	train	H1	H29	150	150	50	48	50	2.209822	-2.495481	-1.656838	-1.665794	8.424952	11.230185	8.765617	-1.665794	2.495481	0.009314	2.774869	4.600041	6.267304	0.025698	0.012853	2.600309
6	train	H0	H29	200	200	50	46.5	48	-0.012098	0.170753	-0.256322	-0.256248	1.094992	2.511639	1.206942	-0.256248	0.256322	0.473191	0.065663	0.001812	0.029141	0.553437	0.559843	-0.176839
6	train	H1	H29	200	200	50	58	52	0.212959	-0.903141	0.595281	0.594348	10.264114	11.445725	10.64693	0.594348	0.903141	0.004876	0.35325	0.084134	0.816704	5.084145	4.985338	0.945728
6	train	H0	H29	300	300	50	49	53.333333	0.559388	-0.406432	-0.771724	-0.771103	1.316543	4.278283	1.164122	-0.771103	0.771724	0.23294	0.594599	0.216365	0.16512	1.078091	0.999102	0.423202
6	train	H1	H29	300	300	50	52.333333	45.333333	1.06423	-1.801203	0.203084	0.203181	22.903914	23.929381	23.590943	0.203181	1.801203	0.000008	0.041283	1.00254	3.253277	6.918135	6.773914	1.881311
6	train	H0	H29	500	500	50	46.2	47.6	1.3993	-1.357745	-1.345815	-1.347449	1.914366	3.116236	1.960138	-1.347449	1.357745	0.161213	1.815619	1.761979	1.844688	0.806375	0.823016	1.401002
6	train	H1	H29	500	500	50	53.2	45.8	0.493115	-1.588569	1.144214	1.144141	34.180118	47.882392	37.160245	1.144141	1.588569	0	1.309058	0.157691	2.52858	16.491161	16.565372	1.657645
6	train	H0	H29	1,000	1,000	50	48.5	50.4	0.158263	-0.302165	0.014623	0.014634	0.390528	1.394146	0.464583	0.014634	0.302165	0.706908	0.000214	0.020062	0.091299	0.167101	0.17182	0.312839
6	train	H1	H29	1,000	1,000	50	52	48.9	2.398218	-3.449082	-0.834446	-0.835243	33.696728	57.441763	37.578577	2.398218	3.449082	0	0.697631	5.156998	11.932346	6.061677	6.275463	3.614712
7	train	H0	H01	20	20	0	0	0	-1.433655	1.433655	1.063948	1.044525	1.909451	3.55563	2.290084	-1.433655	1.433655	0.146524	1.091032	1.586697	2.065441	0.146284	0.114153	-1.451919
7	train	H1	H01	20	20	0	0	0	1.514805	-1.514805	-1.713446	-1.773521	3.325521	6.269876	3.211184	-1.773521	1.713446	0.099193	3.145377	2.606127	2.305035	2.376776	2.219795	1.534103
7	train	H0	H01	30	30	0	0	0	-1.345383	1.345383	1.229132	1.235856	2.109871	3.996634	1.82347	-1.345383	1.345383	0.174865	1.527341	1.963751	1.81571	0.633495	0.953661	-1.356736
7	train	H1	H01	30	30	0	0	0	-0.739221	0.739221	1.331605	1.3644	3.555222	5.897448	3.225749	-0.739221	1.331605	0.116708	1.861588	0.990526	0.545405	3.452172	3.252588	-0.74546
7	train	H0	H01	50	50	0	0	0	-0.544612	0.544612	1.011391	1.018145	2.045295	4.368063	1.65172	-0.544612	1.011391	0.224365	1.03662	0.477546	0.295849	1.762002	1.604621	-0.547355
7	train	H1	H01	50	50	0	0	0	2.371474	-2.371474	-1.793773	-1.802318	5.149849	8.929691	6.073158	2.371474	2.371474	0.017153	3.248352	4.57197	5.69546	0.572856	0.52083	2.383421
7	train	H0	H01	75	75	0	0	0	-0.911492	0.911492	1.494096	1.500848	2.609267	3.063182	2.959804	1.500848	1.494096	0.22766	2.252546	1.55887	0.832472	3.038091	3.167098	-0.908428
7	train	H1	H01	75	75	0	0	0	0.779936	-0.779936	-0.522442	-0.520835	0.357662	4.761505	0.721524	-0.520835	0.779936	0.190117	0.271269	0.348853	0.60792	0.008475	0.000129	0.777314
7	train	H0	H01	100	100	0	0	0	0.390942	-0.390942	-0.359984	-0.35688	0.146999	0.355509	0.153765	0.390942	0.390942	0.695115	0.127363	0.153667	0.152548	0.034674	0.025396	0.391923
7	train	H1	H01	100	100	0	0	0	0.339631	-0.339631	0.425983	0.423588	1.525673	1.482672	2.252596	0.339631	0.425983	0.324231	0.179427	0.002267	0.11561	1.18582	1.175235	0.340483
7	train	H0	H01	150	150	0	0	0	0.130449	-0.130449	0.46529	0.46344	1.13884	1.047928	1.384396	0.130449	0.46529	0.500475	0.214777	0.018628	0.017014	0.927344	0.907496	0.130667
7	train	H1	H01	150	150	0	0	0	0.728121	-0.728121	-0.610658	-0.611211	0.381481	6.715003	0.532648	0.728121	0.728121	0.081558	0.373579	0.317138	0.529919	0.095297	0.058798	0.729337
7	train	H0	H01	200	200	0	0	0	-0.362412	0.362412	0.795267	0.798079	0.705145	8.59749	1.110462	0.798079	0.795267	0.03515	0.63693	0.402253	0.131267	1.071926	1.25214	-0.362866
7	train	H1	H01	200	200	0	0	0	2.243667	-2.243667	-1.719568	-1.722342	3.971397	8.540984	5.28087	2.243667	2.243667	0.024673	2.966463	3.840686	5.048738	0.558673	0.504523	2.246477
7	train	H0	H01	300	300	0	0	0	2.230243	-2.230243	-1.76249	-1.768317	5.671364	7.482959	5.110578	2.230243	2.230243	0.025608	3.126944	4.669641	4.982846	0.728541	0.841057	2.232104
7	train	H1	H01	300	300	0	0	0	1.68434	-1.68434	-1.022359	-1.019594	2.562126	3.62388	3.631964	1.68434	1.68434	0.091845	1.039573	1.856737	2.840432	0.007705	0.004458	1.685745
7	train	H0	H01	500	500	0	0	0	-0.581172	0.581172	0.243393	0.24298	0.489518	0.485698	0.612971	-0.581172	0.581172	0.560929	0.059039	0.181279	0.337696	0.021912	0.014206	-0.581463
7	train	H1	H01	500	500	0	0	0	3.630243	-3.630243	-1.96806	-1.971053	13.461214	24.109802	18.934698	3.630243	3.630243	0.000024	3.88505	8.460724	13.232807	0.012897	0.021312	3.63206
7	train	H0	H01	1,000	1,000	0	0	0	0.03934	-0.03934	-0.738817	-0.7388	1.350902	1.047928	2.006627	-0.7388	0.738817	0.366662	0.545826	0.169129	0.001548	1.531741	1.490529	0.03935
7	train	H1	H01	1,000	1,000	0	0	0	3.801545	-3.801545	-2.315837	-2.318895	16.459363	14.124783	18.387184	3.801545	3.801545	0.000102	5.377275	10.530257	14.481613	0.077854	0.096839	3.802496

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