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	H0	H16	75	75	30	20	30.666667	0.90938	-0.780859	-1.578239	-1.585303	5.557334	11.530052	4.829025	-1.585303	1.578239	0.009179	2.513187	1.090328	0.609141	4.416481	4.088492	0.810047
8	train	H1	H16	75	75	30	38.666667	29.333333	-0.815547	0.915487	0.58723	0.586193	0.833952	1.946735	0.961487	-0.815547	0.915487	0.348125	0.343622	0.58156	0.837991	0.014433	0.007812	-0.938233
8	train	H0	H16	100	100	30	36	31	0.728875	-0.851961	-0.238106	-0.237374	1.993956	2.215447	2.056782	0.728875	0.851961	0.357582	0.056346	0.424	0.725898	0.325708	0.319238	0.878678
8	train	H1	H16	100	100	30	33	33	-0.25708	0.344746	-0.106435	-0.106233	1.243347	1.638036	1.118606	-0.25708	0.344746	0.571607	0.011286	0.036576	0.11875	0.410717	0.325939	-0.352207
8	train	H0	H16	150	150	30	32.666667	34	-0.360235	0.449047	0.084612	0.084366	0.866065	1.355034	0.753766	0.084366	0.449047	0.647685	0.007118	0.124628	0.201417	0.12543	0.118698	-0.45698
8	train	H1	H16	150	150	30	31.333333	22	-0.825687	0.910992	0.61007	0.611095	0.533038	7.768004	0.865968	0.611095	0.910992	0.051058	0.373437	0.484402	0.830508	0.016053	0.006867	-0.930531
8	train	H0	H16	200	200	30	26	30.5	0.827823	-0.781227	-1.067266	-1.065465	1.317558	1.505026	1.374415	0.827823	1.067266	0.426176	1.135217	0.899118	0.610114	1.265928	1.250623	0.795753
8	train	H1	H16	200	200	30	32.5	32	-0.45172	0.63167	-0.185533	-0.185579	3.54016	3.861081	3.647272	-0.45172	0.63167	0.161438	0.03444	0.096217	0.398818	1.359761	1.367031	-0.643925
8	train	H0	H16	300	300	30	29.666667	29.333333	0.20123	-0.147354	-0.377449	-0.376857	0.349359	0.759091	0.309183	-0.376857	0.377449	0.856765	0.142021	0.051561	0.021704	0.263412	0.22423	0.153162
8	train	H1	H16	300	300	30	34.666667	30.666667	-1.356988	1.278176	1.381967	1.381334	2.080129	7.750165	1.937859	-1.356988	1.381967	0.051467	1.908083	2.174358	1.633998	1.095559	1.213819	-1.311274
8	train	H0	H16	500	500	30	31	30.6	0.281417	-0.258631	-0.25629	-0.256156	0.161608	2.460278	0.079357	-0.256156	0.258631	0.482513	0.065616	0.130587	0.066869	0.018683	0.024563	0.265721
8	train	H1	H16	500	500	30	31.4	31.8	0.03179	0.033319	-0.29912	-0.29883	0.589772	0.539082	0.613732	-0.29883	0.29912	0.735749	0.089299	0.011268	0.00111	0.371103	0.357201	-0.033324
8	train	H0	H16	1,000	1,000	30	29.1	29.3	0.775949	-0.617791	-1.013911	-1.015793	1.067106	10.226689	1.247916	-1.015793	1.013911	0.016734	1.031835	0.730547	0.381603	1.255907	1.355401	0.632839
8	train	H1	H16	1,000	1,000	30	31	28.3	-1.079169	1.043552	1.110464	1.109708	1.233091	2.500485	1.246167	1.109708	1.110464	0.286579	1.231452	1.022839	1.088899	0.790602	0.803362	-1.065656
8	train	H0	H16	20	20	40	50	40	-0.690165	0.641437	0.752468	0.742615	0.559685	1.409896	0.569324	0.742615	0.752468	0.498659	0.551476	0.542749	0.409501	0.668069	0.999255	-0.676601
8	train	H1	H16	20	20	40	45	30	-0.306714	0.247984	0.340894	0.338973	0.135478	1.698109	0.118794	0.338973	0.340894	0.637354	0.114903	0.056977	0.061177	0.180945	0.122233	-0.25934
8	train	H0	H16	30	30	40	33.333333	50	1.891428	-1.743188	-1.988189	-2.058809	4.456231	6.451745	4.407141	-2.058809	1.988189	0.067137	4.238694	3.446548	3.036421	3.375443	3.194181	1.830755
8	train	H1	H16	30	30	40	53.333333	30	-1.675175	1.699754	1.590274	1.586974	2.890467	4.570992	2.815635	-1.675175	1.699754	0.080361	2.518487	2.961637	2.892559	1.269051	1.431102	-1.748594
8	train	H0	H16	50	50	40	38	40	0.11578	-0.049806	-0.283444	-0.282003	0.315869	1.804227	0.38344	0.11578	0.283444	0.614015	0.079526	0.033203	0.002475	0.184583	0.21564	0.05522
8	train	H1	H16	50	50	40	26	34	1.669046	-1.47608	-2.061379	-2.140323	5.416369	8.306107	5.708441	-2.140323	2.061379	0.040091	4.580982	3.422003	2.19769	5.278321	5.489685	1.526201
8	train	H0	H16	75	75	40	45.333333	44	-0.870296	0.870711	0.722562	0.721903	1.026096	2.134868	0.926011	0.721903	0.870711	0.372562	0.521145	0.780251	0.757852	0.086673	0.158574	-0.891685
8	train	H1	H16	75	75	40	33.333333	40	1.309493	-1.39747	-1.131254	-1.130178	1.742096	3.054974	1.849669	1.309493	1.39747	0.151052	1.277303	1.65863	1.955206	0.242643	0.221196	1.435826
8	train	H0	H16	100	100	40	43	38	-0.707932	0.55555	0.975738	0.973926	1.351234	1.874385	1.422478	-0.707932	0.975738	0.491035	0.948531	0.59322	0.308416	1.583162	1.630336	-0.586839
8	train	H1	H16	100	100	40	43	37	-0.232931	0.27352	0.067082	0.067301	0.383453	0.637792	0.350181	0.067301	0.27352	0.775689	0.004529	0.043658	0.074746	0.032255	0.026867	-0.284942
8	train	H0	H16	150	150	40	35.333333	45.333333	2.654083	-2.617675	-2.350947	-2.361496	7.651493	9.040486	7.328052	2.654083	2.617675	0.006163	5.576663	7.253874	6.890824	1.78716	1.915151	2.738966
8	train	H1	H16	150	150	40	43.333333	43.333333	-1.441202	1.399018	1.411023	1.422083	2.142058	2.828263	2.105533	-1.441202	1.411023	0.151762	2.02232	2.18411	1.963896	1.088838	1.070974	-1.433337
8	train	H0	H16	200	200	40	47	44	-0.680579	0.810512	0.38909	0.389253	1.420036	1.561385	1.364651	0.389253	0.810512	0.399054	0.151518	0.463998	0.656688	0.069248	0.063632	-0.843313
8	train	H1	H16	200	200	40	34	37.5	0.00152	-0.053762	0.231285	0.231107	0.671322	2.346755	0.493428	0.00152	0.231285	0.503623	0.05341	0.000068	0.002889	0.357207	0.284692	0.053393
8	train	H0	H16	300	300	40	37	45	1.653284	-1.616479	-1.71776	-1.717127	2.949138	4.575727	2.951126	1.653284	1.71776	0.093915	2.948526	2.782341	2.611934	1.984733	1.959682	1.675099
8	train	H1	H16	300	300	40	39.666667	39	0.5869	-0.558369	-0.642415	-0.641849	0.416967	0.426718	0.416587	-0.641849	0.642415	0.56398	0.411971	0.363792	0.3118	0.277006	0.271282	0.57694
8	train	H0	H16	500	500	40	42.8	36.6	-2.198127	2.100577	2.390498	2.392864	5.862095	7.954038	5.779977	2.392864	2.390498	0.030311	5.725799	4.725385	4.418114	4.575343	4.478731	-2.166004
8	train	H1	H16	500	500	40	42	39	-2.522945	2.808595	1.624513	1.626617	12.375557	13.8391	13.12718	-2.522945	2.808595	0.001411	2.645883	5.655793	7.903497	0.257557	0.261617	-2.888397
8	train	H0	H16	1,000	1,000	40	39.4	42.7	-0.032363	0.055132	-0.037427	-0.037444	0.103677	1.639646	0.054094	-0.037444	0.055132	0.650434	0.001402	0.005727	0.00304	0.018434	0.014157	-0.056603
8	train	H1	H16	1,000	1,000	40	41.6	40.6	-0.401633	0.521209	0.058288	0.058282	1.014824	2.458317	1.291037	0.058282	0.521209	0.482871	0.003397	0.073901	0.271633	0.318014	0.319303	-0.536054

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