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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8	train	H1	H22	75	75	30	24	29.333333	-0.006211	0.119773	-0.6385	-0.637643	2.874544	3.029376	2.674484	-0.006211	0.6385	0.262569	0.406588	0.024775	0.014313	1.712656	1.614316	-0.120315
8	train	H0	H22	100	100	30	33	29	0.127628	-0.16544	-0.082262	-0.081702	0.011879	0.379108	0.025292	0.127628	0.16544	0.866774	0.006675	0.013134	0.024933	0.006196	0.014157	0.167757
8	train	H1	H22	100	100	30	25	37	0.321347	-0.364453	0.08506	0.086301	2.030957	9.623261	1.361151	0.086301	0.364453	0.022056	0.007448	0.097003	0.131703	0.461828	0.375608	0.383564
8	train	H0	H22	150	150	30	22.666667	33.333333	1.040177	-1.037947	-1.074421	-1.068825	1.152351	1.873585	1.163609	1.040177	1.074421	0.278539	1.142387	1.138181	1.062811	0.66457	0.564223	1.083607
8	train	H1	H22	150	150	30	30	38.666667	1.388953	-1.434988	-1.02626	-1.027546	2.447707	2.645638	2.477329	-1.027546	1.434988	0.128808	1.055851	1.741569	2.060022	0.058668	0.056614	1.51882
8	train	H0	H22	200	200	30	25	29.5	0.448243	-0.358255	-0.951559	-0.948775	1.964646	1.931042	1.939314	-0.948775	0.951559	0.379213	0.900174	0.361537	0.124583	1.713966	1.662941	0.3766
8	train	H1	H22	200	200	30	30.5	28.5	-1.455111	1.607337	1.0529	1.051386	1.967251	5.424072	2.684078	-1.455111	1.607337	0.091877	1.105412	1.637872	2.590616	0.041884	0.035968	-1.685577
8	train	H0	H22	300	300	30	33.333333	28	-1.146141	1.027376	1.265456	1.263436	1.662158	5.220758	1.597462	-1.146141	1.265456	0.156328	1.596272	1.602553	1.065912	1.183964	1.322222	-1.091246
8	train	H1	H22	300	300	30	26.666667	26.333333	-0.418541	0.412502	0.487671	0.487906	0.243918	2.282903	0.242431	-0.418541	0.487671	0.515804	0.238053	0.226304	0.17064	0.204345	0.244316	-0.434285
8	train	H0	H22	500	500	30	34.2	33.2	0.14257	-0.210054	0.124163	0.124299	0.493296	0.693837	0.535096	0.124299	0.210054	0.765254	0.01545	0.006285	0.042853	0.242881	0.233666	0.218869
8	train	H1	H22	500	500	30	32.6	30.2	-1.399429	1.452418	1.441914	1.443385	2.08424	2.697674	2.112159	1.443385	1.452418	0.124676	2.083361	1.929082	2.111998	1.294848	1.301665	-1.535438
8	train	H0	H22	1,000	1,000	30	28.7	29	-0.254836	0.319264	-0.067774	-0.067708	0.546488	0.992901	0.651941	-0.254836	0.319264	0.721826	0.004584	0.025082	0.103042	0.222309	0.240055	-0.336147
8	train	H1	H22	1,000	1,000	30	28.9	31.1	-0.537485	0.527166	0.579095	0.579516	0.339225	0.599352	0.335944	-0.537485	0.579095	0.579597	0.335839	0.307809	0.278379	0.223341	0.230638	-0.553974
8	train	H0	H22	20	20	40	20	45	0.221304	0	-0.879798	-0.866072	3.709381	3.668032	3.714229	-0.866072	0.879798	0.156122	0.750081	0.12511	0	2.678499	2.490177	0.030789
8	train	H1	H22	20	20	40	55	40	-0.155098	0.263396	-0.07573	-0.076883	0.799421	0.967831	0.827001	-0.076883	0.263396	0.661331	0.005911	0.019789	0.089919	0.113454	0.10296	-0.344863
8	train	H0	H22	30	30	40	33.333333	53.333333	1.05716	-1.026792	-1.057985	-1.047622	1.133789	1.273856	1.125625	1.05716	1.057985	0.281122	1.097512	1.142117	1.029549	0.45097	0.482268	1.077803
8	train	H1	H22	30	30	40	43.333333	36.666667	-0.789813	0.675814	0.971277	0.987614	1.292913	1.317218	1.297792	-0.789813	0.971277	0.452975	0.975381	0.684561	0.481195	1.721336	1.717646	-0.750464
8	train	H0	H22	50	50	40	32	38	0.678974	-0.808492	-0.235843	-0.233316	1.981366	2.446609	1.805466	0.678974	0.808492	0.404673	0.054436	0.395919	0.631233	0.302135	0.203851	0.833304
8	train	H1	H22	50	50	40	40	42	-1.341024	1.31223	1.275564	1.291406	1.741866	7.531258	1.842873	-1.341024	1.31223	0.056761	1.667729	1.549635	1.772017	0.804398	0.692667	-1.404163
8	train	H0	H22	75	75	40	41.333333	34.666667	0.19466	-0.36916	0.036998	0.036784	0.255431	1.332621	0.397634	0.036784	0.36916	0.707227	0.001353	0.022341	0.124008	0.207716	0.222891	0.375583
8	train	H1	H22	75	75	40	38.666667	37.333333	-0.285151	0.300075	0.503549	0.504108	0.784857	4.056198	0.58604	0.504108	0.503549	0.255459	0.254125	0.080529	0.090032	0.595409	0.488488	-0.323593
8	train	H0	H22	100	100	40	39	41	-0.206362	0.034575	0.610727	0.61832	1.818619	2.045876	1.908229	0.61832	0.610727	0.385153	0.38232	0.093154	0.002222	1.572095	1.54864	-0.034474
8	train	H1	H22	100	100	40	40	38	0.296341	-0.392039	0.367185	0.366728	3.46566	3.899256	3.18755	0.366728	0.392039	0.203157	0.134489	0.043214	0.153562	1.395234	1.370853	0.413319
8	train	H0	H22	150	150	40	38	38.666667	-0.112798	0.091492	0.14194	0.141352	0.019987	0.458732	0.023104	0.141352	0.14194	0.918083	0.019981	0.0177	0.009157	0.040048	0.049774	-0.102848
8	train	H1	H22	150	150	40	40.666667	34	-0.857198	1.01725	0.537237	0.535278	0.931208	2.170466	1.201249	-0.857198	1.01725	0.272221	0.286522	0.60773	1.039269	0.001065	0.003308	-1.097962
8	train	H0	H22	200	200	40	46	36.5	-1.962205	1.848547	1.985794	1.989534	4.176625	9.093678	4.025652	-1.962205	1.985794	0.028071	3.958247	4.304036	3.458171	2.214293	2.352725	-2.012731
8	train	H1	H22	200	200	40	47.5	39	-3.57719	3.668906	3.189231	3.230441	13.038452	12.916128	13.157851	-3.57719	3.668906	0.00008	10.435752	12.713212	13.530649	2.620498	2.798434	-3.945153
8	train	H0	H22	300	300	40	40	38.333333	-0.495904	0.349407	0.869474	0.86979	1.632522	1.772841	1.649398	0.86979	0.869474	0.438367	0.756534	0.303112	0.126481	1.616258	1.634108	-0.382728
8	train	H1	H22	300	300	40	38.333333	40.333333	-0.459384	0.546076	0.384726	0.384694	0.185768	0.544802	0.227207	-0.459384	0.546076	0.554514	0.14799	0.182904	0.300797	0.037854	0.037036	-0.591009
8	train	H0	H22	500	500	40	40.8	41.8	0.40727	-0.368693	-0.494523	-0.494119	0.277688	0.32544	0.269629	-0.494119	0.494523	0.694546	0.244154	0.171978	0.132517	0.224164	0.215692	0.392693
8	train	H1	H22	500	500	40	39.4	39.4	0.455577	-0.375692	-0.330283	-0.330918	0.506749	1.585706	0.282224	-0.330918	0.375692	0.662635	0.109506	0.291278	0.140624	0.006432	0.004522	0.400485
8	train	H0	H22	1,000	1,000	40	37.8	43.2	1.267425	-1.264692	-1.334405	-1.333447	1.797225	3.901241	1.780995	1.267425	1.334405	0.172733	1.778082	1.480245	1.590857	1.188402	1.172835	1.363475
8	train	H1	H22	1,000	1,000	40	38.8	38.7	-0.925213	1.126062	0.736642	0.736473	0.702723	3.165709	0.983591	-0.925213	1.126062	0.227327	0.542392	0.674878	1.269232	0.059362	0.052181	-1.207273

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