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	H22	20	20	20	10	15	0.536484	-0.538868	-0.221986	-0.218566	0.68852	0.709763	0.707905	0.536484	0.538868	0.584904	0.047771	0.174939	0.288511	0.09927	0.086006	0.546235
2	train	H0	H22	30	30	20	20	10	1.691853	-1.710717	-1.538982	-1.593746	2.803067	5.530275	2.933681	1.691853	1.710717	0.080358	2.540027	2.783523	2.963623	1.189826	1.092959	1.748614
2	train	H1	H22	30	30	20	26.666667	20	-1.204026	1.151557	1.400064	1.431631	2.414281	7.576408	2.259686	1.431631	1.400064	0.055627	2.049566	1.53919	1.342679	2.37289	2.251458	-1.187329
2	train	H0	H22	50	50	20	18	26	-0.346381	0.381153	-0.082525	-0.081485	1.051356	1.072183	1.002118	-0.081485	0.381153	0.605889	0.00664	0.058469	0.153987	0.310392	0.259825	-0.401934
2	train	H1	H22	50	50	20	26	14	0.33041	-0.354206	-0.054252	-0.054106	0.645599	1.523234	0.479237	-0.054106	0.354206	0.676918	0.002927	0.075807	0.120006	0.126952	0.09891	0.354631
2	train	H0	H22	75	75	20	18.666667	18.666667	-0.559592	0.554569	0.419716	0.417442	0.383561	0.458376	0.359898	0.417442	0.554569	0.568858	0.174258	0.257726	0.311353	0.023469	0.022075	-0.569734
2	train	H1	H22	75	75	20	25.333333	24	-0.935802	0.846272	1.400431	1.412852	2.887508	3.757126	3.010092	1.412852	1.400431	0.222007	1.996152	1.240463	0.716824	3.028063	3.1976	-0.867419
2	train	H0	H22	100	100	20	19	28	1.804363	-1.87263	-1.015896	-1.021333	6.145231	6.444374	5.696278	1.804363	1.87263	0.050144	1.043122	2.696105	3.49582	0.030539	0.013031	1.958736
2	train	H1	H22	100	100	20	24	22	-0.504958	0.594057	0.081166	0.080723	0.580691	5.314057	1.133906	-0.504958	0.594057	0.150193	0.006516	0.087831	0.352603	0.218392	0.325578	-0.615705
2	train	H0	H22	150	150	20	23.333333	18	0.065507	-0.098575	0.191843	0.191218	0.386625	0.434589	0.349976	0.065507	0.191843	0.839467	0.036564	0.000002	0.009128	0.239026	0.226983	0.099438
2	train	H1	H22	150	150	20	22	22.666667	-0.767824	0.673391	1.200176	1.20587	2.066621	2.356174	2.132047	1.20587	1.200176	0.344375	1.454122	0.814584	0.457488	2.187468	2.204004	-0.699497
2	train	H0	H22	200	200	20	18.5	21.5	-0.010716	0.130261	-1.01211	-1.018174	7.829876	13.012536	6.22812	-1.018174	1.01211	0.00461	1.036678	0.03427	0.017707	4.35472	4.069645	-0.134967
2	train	H1	H22	200	200	20	17	20	-0.245219	0.218388	0.46366	0.46383	0.390826	0.419332	0.374454	0.46383	0.46366	0.821607	0.215138	0.090686	0.047878	0.388713	0.375627	-0.225479
2	train	H0	H22	300	300	20	19	22.666667	0.482368	-0.486444	-0.277872	-0.277374	0.61025	1.460084	0.37525	-0.277374	0.486444	0.616287	0.076936	0.246854	0.234156	0.004162	0.002252	0.501119
2	train	H1	H22	300	300	20	21.333333	19.333333	-0.815781	0.800674	0.80032	0.798977	0.649595	0.890239	0.685031	0.798977	0.800674	0.409443	0.638364	0.592472	0.642533	0.329653	0.308303	-0.824873
2	train	H0	H22	500	500	20	18.6	19.4	0.601011	-0.629909	-0.631247	-0.632013	0.504636	7.51594	0.404211	0.601011	0.631247	0.05715	0.39944	0.270097	0.394778	0.248268	0.212007	0.644268
2	train	H1	H22	500	500	20	19.6	19.4	-1.742072	1.758574	1.654228	1.655409	3.14744	3.874293	3.078857	1.655409	1.758574	0.068174	2.74038	3.052646	3.097546	1.196856	1.310389	-1.823852
2	train	H0	H22	1,000	1,000	20	19.1	18.3	0.702284	-0.630155	-1.154513	-1.155505	1.77739	2.58801	1.98221	-1.155505	1.154513	0.371166	1.335191	0.784063	0.396144	1.94801	1.96685	0.646362
2	train	H1	H22	1,000	1,000	20	20.5	20	-1.287746	1.19906	1.994249	1.997881	5.751023	6.109246	5.499244	1.997881	1.994249	0.063952	3.99153	2.124319	1.438721	5.437272	5.435759	-1.234961
2	train	H0	H22	20	20	30	40	30	0.331733	-0.380859	-0.218363	-0.214877	0.207878	0.232749	0.198885	-0.214877	0.380859	0.711171	0.046172	0.098087	0.120033	0.019072	0.010384	0.370284
2	train	H1	H22	20	20	30	20	30	-0.100014	0.196671	-0.178741	-0.176825	0.53802	0.917042	0.602004	-0.176825	0.196671	0.740076	0.031267	0.000123	0.038444	0.158458	0.164416	-0.184125
2	train	H0	H22	30	30	30	13.333333	33.333333	-0.813591	0.738001	1.160984	1.262051	3.045323	3.686293	3.130675	1.262051	1.160984	0.209018	1.592773	0.977272	0.551315	3.08145	3.140271	-0.7262
2	train	H1	H22	30	30	30	26.666667	33.333333	0.502183	-0.481916	-0.378313	-0.372948	0.504282	3.822464	0.309485	0.502183	0.481916	0.281284	0.139091	0.294489	0.23146	0.001306	0.028978	0.490999
2	train	H0	H22	50	50	30	34	22	-0.90313	0.811944	1.442393	1.440481	3.645709	5.796935	3.233621	1.440481	1.442393	0.121919	2.074987	1.039498	0.664243	3.391939	3.134572	-0.887992
2	train	H1	H22	50	50	30	34	30	-2.195298	2.229587	1.883657	1.900549	4.891629	5.18444	5.011645	-2.195298	2.229587	0.016816	3.612085	4.649152	5.03035	0.774248	0.806609	-2.390708
2	train	H0	H22	75	75	30	28	30.666667	1.750456	-1.787962	-1.571711	-1.577476	2.998498	3.966026	3.112453	1.750456	1.787962	0.065243	2.488431	2.946285	3.177919	0.871302	0.799391	1.843588
2	train	H1	H22	75	75	30	25.333333	20	-0.022998	0.025337	0.094759	0.094068	0.090802	0.849114	0.032943	-0.022998	0.094759	0.837687	0.008849	0.000072	0.000873	0.044951	0.022154	-0.029576
2	train	H0	H22	100	100	30	30	38	-0.518949	0.667084	0.098742	0.098553	0.889194	3.86242	1.335925	0.098553	0.667084	0.276709	0.009713	0.141295	0.451624	0.327559	0.336471	-0.708624
2	train	H1	H22	100	100	30	24	26	-1.346594	1.338616	1.408735	1.416382	2.006186	3.316731	2.023536	1.416382	1.408735	0.152831	2.006138	1.869582	1.811402	1.395537	1.310502	-1.429603
2	train	H0	H22	150	150	30	28	32	-0.641013	0.646548	0.568871	0.569189	0.395885	0.652237	0.416088	-0.641013	0.646548	0.490826	0.323977	0.386661	0.425238	0.133112	0.125862	-0.688996
2	train	H1	H22	150	150	30	32	26.666667	-1.114055	1.102951	1.249647	1.246499	1.591122	1.784536	1.559265	1.246499	1.249647	0.243513	1.55376	1.23333	1.219372	1.241266	1.216431	-1.16625
2	train	H0	H22	200	200	30	32.5	31	-1.47915	1.64486	0.649934	0.648781	5.77828	5.723739	5.775491	-1.47915	1.64486	0.055702	0.420916	1.7197	2.720005	0.544392	0.485529	-1.747635
2	train	H1	H22	200	200	30	27.5	28.5	-1.292445	1.488791	0.28646	0.286702	6.995437	6.685683	6.864305	-1.292445	1.488791	0.032317	0.082198	1.142931	2.21964	1.41428	1.272968	-1.5579
2	train	H0	H22	300	300	30	30	30.666667	0.870682	-0.904511	-0.679676	-0.679032	0.829307	0.891357	0.869622	0.870682	0.904511	0.344339	0.461084	0.672386	0.811305	0.057213	0.053084	0.945627
2	train	H1	H22	300	300	30	35.333333	35.333333	0.322586	-0.343981	0.118193	0.118193	2.420377	11.506186	1.432786	0.322586	0.343981	0.009281	0.01397	0.133426	0.11754	0.478208	0.401791	0.366287
2	train	H0	H22	500	500	30	29	29.2	0.929427	-1.091463	-0.316009	-0.315749	1.965055	5.147277	2.704631	0.929427	1.091463	0.161325	0.099698	0.536442	1.185615	0.321037	0.343998	1.146018
2	train	H1	H22	500	500	30	29.2	32.4	0.434624	-0.402346	-0.327182	-0.326787	0.308598	0.641129	0.225834	0.434624	0.402346	0.671867	0.10679	0.204096	0.161537	0.007753	0.009525	0.423587
2	train	H0	H22	1,000	1,000	30	30.6	27.7	-2.050849	2.077071	1.683562	1.683386	4.740311	5.004731	4.476564	-2.050849	2.077071	0.028813	2.833787	4.190103	4.322707	0.515808	0.519042	-2.186034
2	train	H1	H22	1,000	1,000	30	30.2	30.5	-2.645328	2.770657	2.184896	2.189124	7.19957	7.032782	7.439498	-2.645328	2.770657	0.003581	4.792263	6.557515	7.690085	0.906958	0.915139	-2.912906
2	train	H0	H22	20	20	40	35	55	1.028893	-1.068286	-1.112337	-1.098607	1.21801	1.45304	1.212226	-1.098607	1.112337	0.231439	1.206938	1.120773	1.044822	0.657464	0.664323	1.196659
2	train	H1	H22	20	20	40	25	55	-0.709999	0.928813	0.162733	0.167251	4.270098	4.396321	4.336213	0.167251	0.928813	0.114394	0.027973	0.364842	0.882138	1.12942	1.088041	-1.022487
2	train	H0	H22	30	30	40	43.333333	33.333333	-1.911246	1.905191	1.546704	1.573921	4.396692	4.725627	4.244023	-1.911246	1.905191	0.035118	2.477227	3.545697	3.809373	0.164174	0.242417	-2.106991
2	train	H1	H22	30	30	40	30	43.333333	0.181216	-0.158207	-0.292889	-0.289981	0.171732	0.321545	0.155919	-0.289981	0.292889	0.876379	0.084089	0.037362	0.019372	0.071703	0.04874	0.155562
2	train	H0	H22	50	50	40	34	40	0.557417	-0.704183	-0.152372	-0.152453	1.704533	2.399686	1.562404	-0.152453	0.704183	0.457855	0.023242	0.258713	0.475667	0.353228	0.282508	0.740284
2	train	H1	H22	50	50	40	44	36	-1.506553	1.414231	1.663105	1.682019	2.91	3.309178	2.885479	1.682019	1.663105	0.120929	2.829187	2.334104	2.008839	2.680831	2.608358	-1.550887
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2	train	H0	H22	100	100	40	42	38	-0.209898	0.20645	0.048643	0.048249	0.354447	2.021514	0.21261	-0.209898	0.20645	0.567953	0.002328	0.046795	0.047309	0.027808	0.001434	-0.236381
2	train	H1	H22	100	100	40	42	41	-0.119606	0.2573	0.059195	0.059062	0.008951	10.788106	0.041897	0.059062	0.2573	0.012929	0.003488	0.000493	0.066238	0.002183	0.015889	-0.272786
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2	train	H1	H22	200	200	40	38	40.5	-0.246521	0.249811	0.505558	0.505974	1.006181	5.662042	0.676221	-0.246521	0.505558	0.129262	0.256009	0.051755	0.062721	0.615646	0.566981	-0.271769
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2	train	H1	H22	500	500	40	40.2	38.6	-1.850528	1.922282	1.780717	1.788083	3.315765	4.951043	3.451602	1.788083	1.922282	0.03841	3.19724	3.286963	3.700675	1.52422	1.484572	-2.070455
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2	train	H0	H22	75	75	50	60	53.333333	0.397317	-0.764021	-0.057423	-0.057387	1.601827	1.647428	1.653966	-0.057387	0.764021	0.418871	0.003293	0.199453	0.535479	0.557319	0.515055	0.808382
2	train	H1	H22	75	75	50	50.666667	52	0.353932	-0.251322	-0.548317	-0.547287	0.72079	3.336621	0.58013	0.353932	0.548317	0.342578	0.299523	0.113745	0.057179	0.450396	0.346202	0.281729
2	train	H0	H22	100	100	50	52	45	-1.579091	1.66618	1.522804	1.535692	2.399654	12.801673	2.517395	1.535692	1.66618	0.005086	2.358349	2.354197	2.823793	1.137632	1.002422	-1.840767
2	train	H1	H22	100	100	50	51	44	-0.676372	0.739997	0.610401	0.610167	0.430925	1.279211	0.467933	0.610167	0.739997	0.414098	0.372304	0.418974	0.560211	0.170712	0.128278	-0.816703
2	train	H0	H22	150	150	50	46	51.333333	0.189483	-0.012472	-0.676916	-0.674143	2.645058	3.184123	2.455295	-0.674143	0.676916	0.292981	0.454469	0.050402	0	1.754528	1.564311	0.006637
2	train	H1	H22	150	150	50	55.333333	57.333333	-0.641298	0.615224	0.675404	0.676385	0.458741	0.466643	0.4583	0.676385	0.675404	0.48858	0.457496	0.389661	0.382479	0.408782	0.41451	-0.692569
2	train	H0	H22	200	200	50	50.5	44	-0.75775	0.720639	0.797906	0.795812	0.633379	0.737316	0.633643	0.795812	0.797906	0.409375	0.633318	0.602301	0.543881	0.47616	0.47052	-0.824994
2	train	H1	H22	200	200	50	51.5	53	-0.619944	0.987205	0.325917	0.325027	0.754001	9.724748	1.190848	-0.619944	0.987205	0.021057	0.105643	0.327701	0.982242	0.093001	0.14304	-1.097424
2	train	H0	H22	300	300	50	52.666667	49.666667	-0.223782	0.019137	0.490366	0.489348	0.620631	2.078822	0.784958	0.489348	0.490366	0.556209	0.239462	0.061012	0.001055	0.703659	0.779411	-0.037833
2	train	H1	H22	300	300	50	49	54	0.014785	0.364616	-0.421808	-0.421125	1.570583	2.604488	1.787884	-0.421125	0.421808	0.40904	0.177347	0.000617	0.134052	1.030983	1.063302	-0.402107
2	train	H0	H22	500	500	50	49	50.8	-0.319665	0.266332	0.5346	0.535217	0.885645	6.567953	0.645367	-0.319665	0.5346	0.087021	0.286457	0.085839	0.075321	0.631955	0.573059	-0.307322
2	train	H1	H22	500	500	50	49.2	50.2	-0.747209	1.155224	0.197152	0.196946	2.590149	7.01915	3.265305	0.196946	1.155224	0.07129	0.038788	0.481777	1.338754	0.697184	0.748307	-1.271584
2	train	H0	H22	1,000	1,000	50	47.7	47.9	1.021308	-1.148281	-0.687252	-0.687022	1.627346	1.699601	1.724145	1.021308	1.148281	0.204434	0.472	0.947853	1.303927	0.003612	0.003099	1.269019
2	train	H1	H22	1,000	1,000	50	51.3	48.8	-2.47291	2.952055	1.931816	1.93567	7.042684	10.660051	7.918206	1.93567	2.952055	0.001145	3.746818	5.876941	8.724226	0.178626	0.188927	-3.252117
2	train	H0	H23	20	20	0	0	0	-0.784453	0.784453	0.719485	0.714071	0.814618	2.913409	0.617634	-0.784453	0.784453	0.405169	0.509898	0.724629	0.616456	0.193395	0.387096	-0.794446
2	train	H1	H23	20	20	0	0	0	1.217254	-1.217254	-1.478388	-1.505233	2.26756	2.963336	2.328773	-1.505233	1.478388	0.217665	2.265725	2.080752	1.501669	1.986282	2.228381	1.232761
2	train	H0	H23	30	30	0	0	0	0.739221	-0.739221	-0.934814	-0.929056	0.953098	1.900336	0.897305	0.739221	0.934814	0.455994	0.863146	0.651243	0.544129	0.695955	0.604622	0.74546
2	train	H1	H23	30	30	0	0	0	0.029569	-0.029569	-0.268279	-0.265011	0.114143	2.420924	0.257177	0.029569	0.268279	0.489752	0.070231	0.033797	0.000871	0.178069	0.27717	0.029818
2	train	H0	H23	50	50	0	0	0	-0.406735	0.406735	-0.051261	-0.05076	0.412269	3.332051	0.867539	-0.406735	0.406735	0.343207	0.002577	0.027027	0.165213	0.254631	0.351793	-0.408784
2	train	H1	H23	50	50	0	0	0	-0.386054	0.386054	0.552615	0.548122	0.401245	0.600019	0.339349	-0.386054	0.552615	0.698017	0.300438	0.177662	0.148601	0.376457	0.339742	-0.387999
2	train	H0	H23	75	75	0	0	0	-0.697244	0.697244	0.884775	0.886398	1.061913	4.725227	0.816995	0.886398	0.884775	0.193059	0.785702	0.474414	0.485302	0.806749	0.693123	-0.6949
2	train	H1	H23	75	75	0	0	0	-0.343924	0.343924	-0.000953	-0.000946	0.683654	0.883363	0.495945	-0.343924	0.343924	0.731773	0.000001	0.068392	0.118053	0.11695	0.085467	-0.342768
2	train	H0	H23	100	100	0	0	0	-0.552206	0.552206	-0.029559	-0.029379	1.406839	1.424962	1.383638	-0.552206	0.552206	0.500664	0.000863	0.126995	0.304601	0.37172	0.334815	-0.553592
2	train	H1	H23	100	100	0	0	0	0.227235	-0.227235	-1.230821	-1.244875	4.955658	4.879909	4.99048	-1.244875	1.230821	0.082477	1.549713	0.401816	0.051603	4.045565	3.935089	0.227805
2	train	H0	H23	150	150	0	0	0	-1.152747	1.152747	0.962349	0.959953	1.071037	2.243557	1.337276	-1.152747	1.152747	0.248224	0.921509	1.093402	1.329354	0.258677	0.230599	-1.154673
2	train	H1	H23	150	150	0	0	0	1.699836	-1.699836	-2.526825	-2.575654	8.053179	7.995338	8.13207	-2.575654	2.526825	0.017145	6.633992	4.421046	2.895605	7.89741	7.866442	1.702676
2	train	H0	H23	200	200	0	0	0	0.881379	-0.881379	-0.957981	-0.956539	0.921774	1.920708	0.924888	0.881379	0.957981	0.377516	0.914966	0.797001	0.776759	0.586699	0.538139	0.882483
2	train	H1	H23	200	200	0	0	0	1.968615	-1.968615	-2.753843	-2.808033	9.442678	11.20738	9.066668	-2.808033	2.753843	0.010656	7.885052	5.414674	3.88456	8.644999	8.50341	1.97108
2	train	H0	H23	300	300	0	0	0	-1.105466	1.105466	1.257719	1.257013	1.584321	2.127924	1.580751	-1.105466	1.257719	0.268559	1.580082	1.393576	1.221887	1.183833	1.137748	-1.106388
2	train	H1	H23	300	300	0	0	0	-0.6142	0.6142	-1.333297	-1.351478	13.861723	18.784671	16.059043	-0.6142	1.333297	0.000303	1.826491	0.028676	0.377632	9.981815	10.117628	-0.614712
2	train	H0	H23	500	500	0	0	0	1.185774	-1.185774	-1.29473	-1.294016	1.675652	1.707178	1.690429	1.185774	1.29473	0.235477	1.674477	1.522081	1.406185	1.096346	1.086653	1.186368
2	train	H1	H23	500	500	0	0	0	0.374455	-0.374455	-1.958611	-1.977202	12.560865	12.761613	11.808675	-1.977202	1.958611	0.002728	3.909329	0.953132	0.140213	9.690814	9.552627	0.374642
2	train	H0	H23	1,000	1,000	0	0	0	-1.221079	1.221079	0.81715	0.816524	1.634139	1.485873	1.726471	-1.221079	1.221079	0.221941	0.666711	1.16954	1.491073	0.037205	0.043112	-1.221384
2	train	H1	H23	1,000	1,000	0	0	0	-0.414306	0.414306	-2.132765	-2.158539	31.27602	33.013791	27.637442	-0.414306	2.132765	0	4.65929	0.20986	0.17168	18.714963	18.561009	-0.414409

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