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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4	train	H1	H06	20	20	20	20	25	-0.28854	0.336464	0.002311	0.002277	0.83609	3.00018	0.603765	0.002277	0.336464	0.391597	0.000005	0.079971	0.112577	0.141775	0.04509	-0.346012
4	train	H0	H06	30	30	20	23.333333	13.333333	0.420903	-0.424417	-0.265908	-0.265212	0.343256	0.877782	0.282282	-0.265212	0.424417	0.66724	0.070337	0.152918	0.179724	0.013415	0.00634	0.429939
4	train	H1	H06	30	30	20	3.333333	23.333333	2.411281	-2.412338	-2.241455	-2.270672	5.834181	5.87116	5.924453	2.411281	2.412338	0.013568	5.155951	5.752493	5.913126	2.191277	2.279681	2.468507
4	train	H0	H06	50	50	20	14	30	1.634732	-1.560389	-1.773875	-1.770755	3.152986	4.722465	3.13561	1.634732	1.773875	0.109606	3.135573	2.652737	2.437392	2.053573	1.887758	1.599968
4	train	H1	H06	50	50	20	20	24	1.184451	-1.228429	-0.866231	-0.860196	1.504995	2.708994	1.715961	1.184451	1.228429	0.20869	0.739937	1.129521	1.508561	0.040206	0.019784	1.257177
4	train	H0	H06	75	75	20	24	25.333333	1.229079	-1.080724	-1.862724	-1.914732	6.496683	6.568588	6.399974	-1.914732	1.862724	0.040763	3.6662	2.07152	1.173149	5.977872	5.958999	1.091816
4	train	H1	H06	75	75	20	20	18.666667	1.017198	-1.006449	-0.932545	-0.933291	0.976981	1.064642	1.034359	-0.933291	1.006449	0.30882	0.871032	0.924978	1.012462	0.283421	0.292793	1.0177
4	train	H0	H06	100	100	20	17	21	0.246815	-0.230575	-0.28914	-0.288172	0.08305	0.244618	0.085431	-0.288172	0.28914	0.814702	0.083043	0.079127	0.053073	0.047753	0.055672	0.234365
4	train	H1	H06	100	100	20	30	17	0.830515	-1.002391	0.159057	0.159531	5.681217	7.001546	6.774178	0.830515	1.002391	0.033807	0.02545	0.22812	1.008395	2.079174	2.024954	1.018487
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4	train	H1	H06	150	150	20	21.333333	25.333333	2.088822	-2.138127	-1.54662	-1.548388	4.944934	6.346064	5.392165	2.088822	2.138127	0.029074	2.397506	3.57242	4.580029	0.1953	0.189438	2.182479
4	train	H0	H06	200	200	20	19	20	-0.508639	0.55957	0.131815	0.131407	1.331729	3.133768	0.973189	-0.508639	0.55957	0.371457	0.017268	0.227211	0.312834	0.14496	0.095051	-0.564661
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4	train	H1	H06	300	300	20	19.333333	18.333333	4.105331	-4.167084	-3.305439	-3.353597	17.510567	18.040461	18.204136	4.105331	4.167084	0.000023	11.246611	15.376367	17.528422	2.593103	2.679933	4.229366
4	train	H0	H06	500	500	20	19.2	22.2	0.444986	-0.436793	-0.500455	-0.499827	0.316031	2.297511	0.250759	0.444986	0.500455	0.512998	0.249827	0.354812	0.190804	0.194713	0.224425	0.443593
4	train	H1	H06	500	500	20	21.2	19.2	3.235591	-3.352386	-2.338182	-2.349781	10.448904	19.876752	12.811225	3.235591	3.352386	0.00018	5.521473	8.201423	11.289239	0.447778	0.435412	3.415271
4	train	H0	H06	1,000	1,000	20	21.6	19.7	-0.229012	0.201702	0.354591	0.354494	0.148522	0.371613	0.184535	0.354494	0.354591	0.837943	0.125666	0.092604	0.040679	0.198448	0.193183	-0.204525
4	train	H1	H06	1,000	1,000	20	20.4	19.5	4.597983	-4.788436	-2.724252	-2.729941	31.185392	34.180589	34.757789	4.597983	4.788436	0	7.452579	16.06037	23.01151	0.046376	0.040974	4.849218
4	train	H0	H06	20	20	30	30	20	0.987898	-0.961085	-0.996454	-1.02582	1.056011	1.089364	1.054974	-1.02582	0.996454	0.321291	1.052306	1.027729	0.930173	0.476289	0.492735	0.991809
4	train	H1	H06	20	20	30	25	25	0.695216	-0.69371	-0.613663	-0.613631	0.475978	0.779215	0.501319	-0.613631	0.69371	0.476458	0.376543	0.418234	0.4796	0.048577	0.046132	0.71201
4	train	H0	H06	30	30	30	30	30	0.337841	-0.424463	-0.072929	-0.071984	0.708953	1.301756	0.604188	-0.071984	0.424463	0.665995	0.005182	0.1061	0.179073	0.188552	0.133678	0.431651
4	train	H1	H06	30	30	30	26.666667	23.333333	0.915661	-0.869058	-1.105084	-1.127316	1.373587	1.485437	1.408615	-1.127316	1.105084	0.375054	1.270842	1.034675	0.746788	1.059452	1.085318	0.887046
4	train	H0	H06	50	50	30	30	28	0.94192	-0.934763	-0.750501	-0.749259	1.110114	1.537955	1.019253	0.94192	0.934763	0.337911	0.561389	0.831614	0.875411	0.039513	0.065718	0.958301
4	train	H1	H06	50	50	30	20	18	0.676296	-0.698601	-0.533384	-0.529477	0.387055	2.173764	0.509567	0.676296	0.698601	0.474427	0.280345	0.351367	0.487519	0.019888	0.006173	0.715295
4	train	H0	H06	75	75	30	36	30.666667	0.495945	-0.667064	0.045535	0.045196	2.583774	2.620051	2.702362	0.495945	0.667064	0.258934	0.002043	0.156653	0.444883	0.930896	0.822544	0.671481
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4	train	H0	H06	100	100	30	44	43	-0.78974	0.955288	0.581058	0.578558	1.25345	2.98983	1.077695	0.578558	0.955288	0.323798	0.334729	0.832811	0.911904	0.000169	0.000034	-0.986684
4	train	H1	H06	100	100	30	26	32	2.46726	-2.516366	-1.893107	-1.902633	6.990244	7.541013	7.593645	2.46726	2.516366	0.010412	3.620013	5.067494	6.373992	0.371721	0.413969	2.561824
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4	train	H0	H06	200	200	30	27	31.5	1.130302	-1.131776	-1.002402	-1.001807	1.253618	1.376239	1.301805	1.130302	1.131776	0.247396	1.003616	1.17292	1.280512	0.286979	0.293353	1.156698
4	train	H1	H06	200	200	30	33	39	3.623358	-3.714235	-3.046631	-3.084811	14.429526	14.724641	14.758873	-3.084811	3.714235	0.000134	9.516059	12.37305	13.911528	2.211363	2.30526	3.818926
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4	train	H1	H06	300	300	30	28	33.666667	3.264695	-3.398973	-2.538267	-2.54406	11.887966	14.749511	12.797002	3.264695	3.398973	0.000496	6.472241	9.518204	11.587246	0.797207	0.783267	3.482794
4	train	H0	H06	500	500	30	27.8	28.4	-1.132106	1.210694	0.649896	0.650442	2.521699	2.423037	2.557692	0.650442	1.210694	0.217162	0.423074	1.028194	1.46595	0.046066	0.044591	-1.234111
4	train	H1	H06	500	500	30	29.8	32.2	4.054839	-4.191591	-3.116834	-3.136922	20.27037	19.542884	20.46291	4.054839	4.191591	0.000017	9.840281	14.931091	17.633408	1.149271	1.218984	4.295065
4	train	H0	H06	1,000	1,000	30	29.8	28.5	0.730569	-0.89035	0.018657	0.018657	4.93636	6.281349	4.385866	0.018657	0.89035	0.098696	0.000348	0.386295	0.79271	1.249094	1.200144	0.907038
4	train	H1	H06	1,000	1,000	30	30.5	29.6	4.840209	-5.071097	-3.511678	-3.532703	28.843525	33.444299	31.543076	4.840209	5.071097	0	12.479992	19.879086	25.841884	0.681292	0.691554	5.1995
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4	train	H0	H06	50	50	40	48	40	-0.07452	0.064585	0.059751	0.059307	0.010356	0.26862	0.006527	0.059307	0.064585	0.94531	0.003517	0.005595	0.004171	0.029295	0.04751	-0.068598
4	train	H1	H06	50	50	40	38	38	1.765278	-1.95758	-1.163205	-1.165892	5.850617	5.858549	6.002783	1.765278	1.95758	0.043416	1.359304	2.813945	3.8724	0.019384	0.006326	2.019686
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4	train	H0	H06	100	100	40	37	38	1.170159	-1.368135	-0.560991	-0.559802	4.369492	6.541073	4.76461	1.170159	1.368135	0.088057	0.313378	1.033947	1.872814	0.396565	0.401164	1.405921
4	train	H1	H06	100	100	40	35	38	1.381042	-1.407914	-1.146605	-1.145605	2.072127	2.094878	2.181005	-1.145605	1.407914	0.146854	1.312412	1.666027	1.986292	0.174396	0.196008	1.450735
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4	train	H0	H06	75	75	50	53.333333	52	0.159731	-0.247592	-0.005239	-0.005217	0.444845	0.805515	0.403527	-0.005217	0.247592	0.795736	0.000027	0.035076	0.061191	0.158692	0.108792	0.258869
4	train	H1	H06	75	75	50	50.666667	46.666667	-0.085362	0.222286	-0.188562	-0.188703	1.075689	2.088292	1.18475	-0.188703	0.222286	0.553012	0.035609	0.000658	0.049425	0.425079	0.427132	-0.224559
4	train	H0	H06	100	100	50	54	47	0.226732	0.016846	-0.439094	-0.445361	0.754722	1.831374	0.833361	-0.445361	0.439094	0.608132	0.198347	0.033982	0.000284	0.556026	0.591026	-0.022061
4	train	H1	H06	100	100	50	66	51	-0.665527	0.25849	1.116036	1.115095	6.101356	9.867156	6.375049	1.115095	1.116036	0.01973	1.243438	0.45176	0.066894	5.028643	5.116705	-0.273099
4	train	H0	H06	150	150	50	49.333333	44	-0.744343	0.797608	0.625958	0.624101	0.631192	0.627253	0.661981	0.624101	0.797608	0.409289	0.389502	0.492203	0.635807	0.072719	0.099278	-0.825146
4	train	H1	H06	150	150	50	52	44.666667	0.42056	-0.52394	-0.196461	-0.19873	0.778728	5.084823	0.945409	-0.19873	0.52394	0.16569	0.039494	0.106663	0.274905	0.169922	0.177758	0.5553
4	train	H0	H06	200	200	50	52	48.5	-1.45368	1.074623	1.871136	1.899858	6.575336	6.81352	6.488341	1.899858	1.871136	0.039001	3.609459	1.934759	1.156607	6.540658	6.548666	-1.109515
4	train	H1	H06	200	200	50	48	46.5	2.598095	-2.804924	-2.155383	-2.198038	8.175153	14.41536	8.671571	2.598095	2.804924	0.002391	4.831373	6.435292	7.932508	0.659093	0.598865	2.932942
4	train	H0	H06	300	300	50	56.666667	41.666667	-3.131328	2.837731	3.413558	3.413476	12.017568	12.168573	12.054493	3.413476	3.413558	0.002412	11.651819	9.903148	8.0581	10.592498	10.571922	-2.945455
4	train	H1	H06	300	300	50	49.666667	52.333333	2.88029	-2.956019	-2.594467	-2.641442	8.588163	9.598914	8.798449	-2.641442	2.956019	0.002	6.977213	7.969509	8.762382	2.130217	2.197572	3.090301
4	train	H0	H06	500	500	50	51.4	48.6	-0.887365	0.647436	1.225265	1.226171	3.137493	5.950314	2.888478	1.226171	1.225265	0.114053	1.503494	0.63461	0.419127	2.792675	2.84187	-0.674494
4	train	H1	H06	500	500	50	46.6	52.4	5.32689	-5.427621	-4.892908	-4.980788	29.055925	34.45454	29.607221	5.32689	5.427621	0	24.80825	27.937162	29.786754	9.35537	9.317266	5.711233
4	train	H0	H06	1,000	1,000	50	51.1	51	0.098311	-0.347528	0.242582	0.242528	1.937017	2.04025	1.937693	0.242528	0.347528	0.379521	0.05882	0.0222	0.120762	0.921746	0.940794	0.358623
4	train	H1	H06	1,000	1,000	50	48.1	50.1	7.861087	-8.281189	-6.675034	-6.873683	72.543101	78.422041	74.209147	7.861087	8.281189	0	47.247523	61.361757	69.452732	9.991774	10.035861	8.645375
4	train	H0	H07	20	20	0	0	0	-0.486902	0.486902	0.386328	0.376276	0.17705	1.175121	0.247395	-0.486902	0.486902	0.621939	0.141584	0.169444	0.235166	0.063644	0.037023	-0.493104
4	train	H1	H07	20	20	0	0	0	0.730352	-0.730352	0.128504	0.129154	4.33452	5.530501	3.845326	0.730352	0.730352	0.136826	0.016681	0.17078	0.531923	1.171362	0.962582	0.739657
4	train	H0	H07	30	30	0	0	0	0.26612	-0.26612	-0.612055	-0.609301	0.396128	5.192101	0.701379	-0.609301	0.612055	0.158259	0.371248	0.291375	0.070847	0.632106	0.90673	0.268365
4	train	H1	H07	30	30	0	0	0	1.552365	-1.552365	-1.497424	-1.500078	2.461551	2.574461	2.493062	1.552365	1.552365	0.117474	2.250233	2.468625	2.422278	0.999329	1.024173	1.565465
4	train	H0	H07	50	50	0	0	0	1.37187	-1.37187	-1.061999	-1.05831	2.044502	2.151268	1.977409	1.37187	1.37187	0.167962	1.12002	1.684151	1.884483	0.1828	0.257857	1.378781
4	train	H1	H07	50	50	0	0	0	0.110301	-0.110301	-0.936669	-0.93886	2.600075	3.585005	3.194692	-0.93886	0.936669	0.202433	0.881457	0.245229	0.012156	2.408964	2.48225	0.110857
4	train	H0	H07	75	75	0	0	0	0.415339	-0.415339	0.490492	0.492879	4.104486	4.981151	3.515392	0.415339	0.490492	0.172442	0.242929	0.011554	0.172195	1.809871	1.652767	0.413943
4	train	H1	H07	75	75	0	0	0	1.937624	-1.937624	-1.894537	-1.910342	3.988817	3.984594	3.953026	-1.910342	1.937624	0.053469	3.649407	3.956883	3.769205	1.855408	1.934287	1.931111
4	train	H0	H07	100	100	0	0	0	1.297439	-1.297439	-0.44338	-0.442697	4.144871	4.349471	3.693707	1.297439	1.297439	0.157733	0.19598	1.099342	1.685545	0.276156	0.213517	1.300695
4	train	H1	H07	100	100	0	0	0	-0.422706	0.422706	-0.030045	-0.029901	0.933231	1.018976	0.840514	-0.422706	0.422706	0.656878	0.000894	0.08334	0.178521	0.217882	0.192373	-0.423767
4	train	H0	H07	150	150	0	0	0	-0.412646	0.412646	0.035101	0.034923	0.268828	1.437248	0.59845	-0.412646	0.412646	0.679361	0.00122	0.044459	0.170198	0.114582	0.142509	-0.413336
4	train	H1	H07	150	150	0	0	0	2.816643	-2.816643	-2.152416	-2.162949	8.588281	8.510701	8.356161	2.816643	2.816643	0.004782	4.678348	7.182613	7.986857	0.961574	1.103331	2.821349
4	train	H0	H07	200	200	0	0	0	-0.055356	0.055356	0.511927	0.511014	0.824633	0.966631	0.886313	-0.055356	0.511927	0.642007	0.261136	0.068156	0.003063	0.749437	0.687807	-0.055426
4	train	H1	H07	200	200	0	0	0	0.755097	-0.755097	-0.349641	-0.348505	0.763575	0.999382	0.957663	0.755097	0.755097	0.449624	0.121456	0.342143	0.569895	0.031744	0.039493	0.756043
4	train	H0	H07	300	300	0	0	0	-1.696115	1.696115	1.781286	1.786394	3.194507	4.794798	3.272502	-1.696115	1.781286	0.089596	3.191202	2.826968	2.879062	2.007377	1.940547	-1.69753
4	train	H1	H07	300	300	0	0	0	2.749769	-2.749769	-2.863958	-2.886921	8.5581	8.524362	8.564095	-2.886921	2.863958	0.005922	8.334314	8.266802	7.581376	5.127485	5.174659	2.752063
4	train	H0	H07	500	500	0	0	0	1.572492	-1.572492	-1.302542	-1.303018	1.860201	5.826294	2.490561	1.572492	1.572492	0.115654	1.697856	1.912536	2.474173	0.465308	0.42417	1.573279
4	train	H1	H07	500	500	0	0	0	3.635061	-3.635061	-3.344557	-3.36919	13.890805	14.720479	13.419434	3.635061	3.635061	0.000276	11.35144	13.499365	13.256871	5.038978	5.275679	3.63688
4	train	H0	H07	1,000	1,000	0	0	0	-0.09045	0.09045	0.200012	0.199843	0.050658	0.756723	0.067513	-0.09045	0.200012	0.859788	0.039937	0.01631	0.00818	0.071801	0.08068	-0.090473
4	train	H1	H07	1,000	1,000	0	0	0	3.825938	-3.825938	-2.795967	-2.798997	13.933726	16.499156	15.759516	3.825938	3.825938	0.00013	7.834383	12.135807	14.667542	1.169531	1.152174	3.826895

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