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	H15	20	20	50	45	20	-1.201473	1.153557	1.120326	1.107569	1.41122	2.149506	1.450854	1.107569	1.153557	0.228946	1.22671	1.274311	1.359399	0.706387	0.658897	-1.203079
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6	train	H0	H16	75	75	20	16	18.666667	0.079962	-0.092323	0.220242	0.22027	0.707955	2.285556	0.525391	0.22027	0.220242	0.515294	0.048519	0.000053	0.008504	0.37281	0.307503	0.087593
6	train	H1	H16	75	75	20	22.666667	13.333333	-1.386983	1.439753	0.788789	0.788755	3.727433	4.331909	3.437259	-1.386983	1.439753	0.144817	0.622134	1.526599	2.071848	0.049779	0.030829	-1.458087
6	train	H0	H16	100	100	20	17	16	-0.107845	0.075988	0.425614	0.424849	0.926281	3.10874	0.644161	0.424849	0.425614	0.375162	0.180497	0.022031	0.005764	0.58275	0.499288	-0.080169
6	train	H1	H16	100	100	20	27	19	-0.001716	-0.001295	0.250412	0.250423	0.615337	2.541962	0.43204	0.250423	0.250412	0.467755	0.062712	0.001956	0.000002	0.3309	0.246831	-0.005425
6	train	H0	H16	150	150	20	24.666667	24.666667	-0.558824	0.667752	-0.098873	-0.098652	2.763321	3.325572	3.00265	-0.098652	0.667752	0.222835	0.009732	0.1211	0.445609	0.955771	0.96981	-0.67695
6	train	H1	H16	150	150	20	20.666667	22.666667	-0.787601	0.863385	0.294298	0.294972	2.103314	2.647697	1.806055	-0.787601	0.863385	0.379844	0.087009	0.515056	0.745951	0.193971	0.151738	-0.878183
6	train	H0	H16	200	200	20	24.5	21	-1.28745	1.297942	1.232191	1.236168	1.575522	3.11578	1.672061	-1.28745	1.297942	0.187237	1.52811	1.531423	1.683857	0.775364	0.747689	-1.318797
6	train	H1	H16	200	200	20	23	28	1.140977	-1.009621	-1.690783	-1.692844	4.078074	4.37562	4.202002	1.140977	1.690783	0.122334	2.86572	1.735503	1.019628	4.039943	4.064498	1.030957
6	train	H0	H16	300	300	20	19.666667	19.666667	-1.442863	1.520369	0.798918	0.798416	3.628573	3.977101	3.780047	-1.442863	1.520369	0.124096	0.637468	1.618365	2.313349	0.079029	0.071417	-1.537807
6	train	H1	H16	300	300	20	23.333333	25.333333	0.76035	-0.677778	-1.180928	-1.181393	2.100575	2.499762	2.220977	0.76035	1.180928	0.329398	1.395691	0.826931	0.459477	2.111325	2.183638	0.686616
6	train	H0	H16	500	500	20	22	18	-1.382204	1.357641	1.387156	1.385949	2.039946	2.261684	2.002798	1.385949	1.387156	0.167215	1.920855	2.033336	1.842978	1.094175	1.112575	-1.381207
6	train	H1	H16	500	500	20	20	17.8	-0.802073	0.76095	0.953407	0.952853	0.96751	1.434197	0.930117	-0.802073	0.953407	0.438916	0.907929	0.66958	0.578919	0.829307	0.791763	-0.774025
6	train	H0	H16	1,000	1,000	20	20.3	19.6	-1.206064	1.292811	0.429953	0.429982	4.394993	4.79062	4.098724	-1.206064	1.292811	0.128817	0.184884	1.045792	1.671514	0.471712	0.44064	-1.31336
6	train	H1	H16	1,000	1,000	20	19.8	19.6	-0.810827	0.980442	-0.37462	-0.374643	7.018556	9.925816	8.174317	-0.810827	0.980442	0.016787	0.140358	0.173824	0.961286	3.304309	3.326111	-0.993589
6	train	H0	H16	20	20	30	50	20	-1.075447	1.084582	0.687429	0.681679	2.253623	3.761202	1.969486	-1.075447	1.084582	0.255074	0.464686	1.023887	1.166265	0.027695	0.000027	-1.138111
6	train	H1	H16	20	20	30	20	35	1.194357	-1.173642	-1.29954	-1.2839	1.663325	3.191165	1.648853	1.194357	1.29954	0.221591	1.648399	1.429896	1.378999	0.973004	0.808446	1.222308
6	train	H0	H16	30	30	30	20	30	0.732002	-0.765395	-0.357895	-0.353037	1.412177	2.019307	1.245082	-0.353037	0.765395	0.434914	0.124635	0.432268	0.582965	0.090474	0.046674	0.780811
6	train	H1	H16	30	30	30	33.333333	46.666667	1.147303	-1.071063	-1.291921	-1.291617	1.771765	1.812659	1.76561	1.147303	1.291921	0.26507	1.668275	1.3696	1.148706	1.2712	1.197552	1.114487
6	train	H0	H16	50	50	30	42	36	-1.143609	1.130404	1.09385	1.090857	1.319804	1.370319	1.30779	1.090857	1.130404	0.244436	1.189969	1.292007	1.277876	0.679026	0.620748	-1.163969
6	train	H1	H16	50	50	30	22	40	0.914996	-0.698123	-1.616653	-1.618993	6.540694	7.624294	6.173342	-1.618993	1.616653	0.045654	2.621139	1.099884	0.486411	5.84327	5.779822	0.731147
6	train	H0	H16	75	75	30	37.333333	30.666667	-0.601648	0.478342	0.861034	0.857874	1.130473	1.167094	1.140663	0.857874	0.861034	0.565338	0.735948	0.401348	0.228356	1.305246	1.254079	-0.489578
6	train	H1	H16	75	75	30	34.666667	30.666667	-0.55547	0.575254	0.335991	0.334171	0.570868	0.609464	0.615814	0.334171	0.575254	0.558166	0.11167	0.217955	0.330502	0.002733	0.001391	-0.585568
6	train	H0	H16	100	100	30	27	22	0.092041	-0.156491	0.242819	0.241681	0.798144	1.08977	0.697826	0.241681	0.242819	0.705455	0.05841	0.001005	0.024468	0.465366	0.405852	0.15899
6	train	H1	H16	100	100	30	19	41	1.292558	-1.041516	-2.176057	-2.168747	8.568273	10.159564	9.056597	-2.168747	2.176057	0.010799	4.703461	2.450085	1.084251	8.412947	8.67678	1.064186
6	train	H0	H16	150	150	30	35.333333	26	-2.458171	2.356759	2.498023	2.510642	6.450077	6.609541	6.414164	-2.458171	2.498023	0.015257	6.303326	6.228506	5.571951	3.745916	3.775437	-2.42623
6	train	H1	H16	150	150	30	26	22.666667	0.150627	-0.17716	-0.144634	-0.144578	0.049326	4.204483	0.02308	0.150627	0.17716	0.240213	0.020903	0.009996	0.031355	0.003711	0.000029	0.180387
6	train	H0	H16	200	200	30	27.5	31.5	-0.166777	0.248684	-0.196789	-0.196381	1.186696	1.632125	1.011663	-0.166777	0.248684	0.603004	0.038565	0.017849	0.061801	0.44139	0.414736	-0.251752
6	train	H1	H16	200	200	30	25	30.5	-0.884766	1.005826	0.313981	0.314128	2.949217	2.988912	2.8485	-0.884766	1.005826	0.240689	0.098676	0.612647	1.012003	0.376254	0.350304	-1.024607
6	train	H0	H16	300	300	30	25.666667	29	-0.479698	0.617151	-0.250601	-0.250148	4.670464	8.072081	3.830806	-0.479698	0.617151	0.044545	0.062574	0.15449	0.380756	1.588268	1.406705	-0.628023
6	train	H1	H16	300	300	30	24.666667	33	1.054684	-0.835713	-1.871833	-1.874067	7.297186	7.943406	7.478245	-1.874067	1.871833	0.023775	3.512126	1.658333	0.698375	6.970091	6.923798	0.858743
6	train	H0	H16	500	500	30	32.6	29.8	-1.106969	1.110204	0.85736	0.856216	1.639262	2.616023	1.462625	-1.106969	1.110204	0.254847	0.733105	1.162916	1.232289	0.07443	0.091222	-1.138655
6	train	H1	H16	500	500	30	29	27.8	-0.265343	0.468083	-0.649711	-0.650858	5.276121	6.902104	6.067332	-0.650858	0.649711	0.048139	0.423616	0.000193	0.219229	3.300657	3.382748	-0.477522
6	train	H0	H16	1,000	1,000	30	32.5	28.2	-1.110558	0.965814	1.52611	1.525218	2.959833	3.09051	3.037854	1.525218	1.52611	0.218947	2.326291	1.471257	0.932639	3.081919	3.075418	-0.992361
6	train	H1	H16	1,000	1,000	30	29.4	31.6	-0.23209	0.361285	-0.282584	-0.282373	1.655133	2.646418	2.006227	-0.282373	0.361285	0.366736	0.079734	0.004298	0.130515	0.936416	0.977503	-0.368624

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