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pfilonenko
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ML_for_TwoSampleTesting

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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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0	train	H0	H02	100	100	20	21	21	0.046658	0.187924	-0.904876	-0.904014	3.191699	3.505575	3.761525	-0.904014	0.904876	0.152474	0.817241	0.094701	0.035287	2.658157	2.665424	-0.194944
0	train	H1	H02	100	100	20	25	15	1.578731	-1.735748	-0.695916	-0.694901	4.044586	4.937872	4.807214	1.578731	1.735748	0.065422	0.482887	1.762982	3.038887	0.231173	0.223016	1.842366
0	train	H0	H02	150	150	20	20.666667	22.666667	-0.163067	0.103804	0.538252	0.537081	0.895373	0.962403	0.800281	-0.163067	0.538252	0.670226	0.288456	0.06682	0.010927	0.783033	0.745122	-0.112194
0	train	H1	H02	150	150	20	19.333333	23.333333	2.576743	-2.757359	-2.094203	-2.114806	5.609255	17.621427	6.964825	2.576743	2.757359	0.000526	4.472406	5.67531	7.638801	1.044711	0.971479	2.879253
0	train	H0	H02	200	200	20	17.5	21.5	-1.314613	1.137774	2.492367	2.582139	13.225093	13.400741	12.789341	2.582139	2.492367	0.00167	6.667441	2.908912	1.298169	12.479064	12.338601	-1.192022
0	train	H1	H02	200	200	20	20	20.5	2.520601	-2.662873	-2.039227	-2.047081	5.646699	7.238528	6.646039	2.520601	2.662873	0.005391	4.190542	5.507155	7.133534	0.928373	0.906424	2.782669
0	train	H0	H02	300	300	20	21	21.333333	1.78819	-1.71878	-1.835141	-1.846689	3.477272	4.679054	3.492772	-1.846689	1.835141	0.074036	3.410261	3.444915	2.95735	2.06345	2.004353	1.786392
0	train	H1	H02	300	300	20	17.333333	19	2.103767	-2.266534	-1.298592	-1.297145	4.217457	9.811416	6.079101	2.103767	2.266534	0.018216	1.682584	3.237756	5.145424	0.00157	0.000034	2.361201
0	train	H0	H02	500	500	20	21.8	19.8	2.213044	-2.19524	-1.942704	-1.947375	5.243278	5.865993	4.915494	-1.947375	2.19524	0.021775	3.792268	4.910162	4.829172	1.229579	1.352095	2.294263
0	train	H1	H02	500	500	20	21.2	21	3.374883	-3.618776	-2.552086	-2.564499	9.311437	28.519543	12.578832	3.374883	3.618776	0.000003	6.576655	9.304435	13.159975	0.922819	0.837141	3.794049
0	train	H0	H02	1,000	1,000	20	22	22.8	-1.527148	1.545249	1.08854	1.088133	2.458693	3.600082	2.715947	-1.527148	1.545249	0.10531	1.184033	2.039032	2.38928	0.069928	0.066863	-1.619637
0	train	H1	H02	1,000	1,000	20	19.4	19.6	4.459635	-4.947951	-2.65887	-2.670031	17.617506	61.85334	28.661903	4.459635	4.947951	0	7.129064	13.825053	24.595349	0.000886	0.000041	5.170719
0	train	H0	H02	20	20	30	15	30	0.851052	-0.761404	-1.233988	-1.241969	1.989777	5.616937	2.228721	-1.241969	1.233988	0.131809	1.542488	1.132583	0.579252	1.906365	2.352417	0.834801
0	train	H1	H02	20	20	30	30	45	1.77399	-1.817713	-1.67748	-1.648224	3.051938	3.723191	3.147537	-1.648224	1.817713	0.045785	2.716643	3.06343	3.239367	0.865853	0.87689	1.997368
0	train	H0	H02	30	30	30	36.666667	26.666667	-0.403334	0.411216	0.234154	0.231654	0.465822	3.548874	0.278102	-0.403334	0.411216	0.314478	0.053663	0.176121	0.176113	0.000044	0.027432	-0.474203
0	train	H1	H02	30	30	30	33.333333	20	0.033255	-0.099006	-0.131319	-0.130451	0.20435	2.102196	0.061517	0.033255	0.131319	0.551469	0.017018	0.000332	0.009822	0.051262	0.008145	0.096898
0	train	H0	H02	50	50	30	28	34	-0.403283	0.402277	0.607361	0.606706	0.773939	5.722253	0.557117	0.606706	0.607361	0.125934	0.368092	0.169517	0.165122	0.673458	0.517037	-0.437105
0	train	H1	H02	50	50	30	44	24	0.651086	-0.660121	-0.361523	-0.372617	1.055833	2.239536	0.769444	-0.372617	0.660121	0.468177	0.138844	0.391249	0.437801	0.050854	0.007086	0.725448
0	train	H0	H02	75	75	30	29.333333	24	-0.804365	0.719385	1.191875	1.189699	2.016841	2.295358	1.932062	-0.804365	1.191875	0.380591	1.415383	0.839672	0.516528	2.182852	2.126613	-0.745128
0	train	H1	H02	75	75	30	29.333333	30.666667	0.77635	-0.889816	-0.52095	-0.516093	0.644295	1.088608	0.799849	0.77635	0.889816	0.347993	0.266352	0.524597	0.78305	0.000973	0.001708	0.93849
0	train	H0	H02	100	100	30	28	29	-1.460471	1.367253	1.372815	1.378975	2.369331	3.941367	2.155404	-1.460471	1.372815	0.147147	1.901573	2.22421	1.873936	0.810785	1.03062	-1.449682
0	train	H1	H02	100	100	30	23	29	1.410989	-1.863804	0.142009	0.143166	11.215586	13.38186	13.555846	1.410989	1.863804	0.001139	0.020496	0.975397	3.493491	3.804615	3.76201	1.988274
0	train	H0	H02	150	150	30	30.666667	31.333333	0.963316	-1.016952	-0.593332	-0.590323	1.51707	1.610103	1.401358	0.963316	1.016952	0.280847	0.348481	0.808386	1.034283	0.008158	0.001981	1.078418
0	train	H1	H02	150	150	30	26.666667	32.666667	2.357161	-2.69938	-1.294531	-1.292929	6.501082	14.993681	9.323052	2.357161	2.69938	0.001822	1.671665	4.227028	7.339442	0.081734	0.132975	2.91332
0	train	H0	H02	200	200	30	29.5	31	0.302982	-0.4035	-0.180264	-0.179702	0.074048	0.914779	0.143379	0.302982	0.4035	0.666418	0.032293	0.075375	0.162735	0.005153	0.010384	0.431069
0	train	H1	H02	200	200	30	29.5	27.5	1.95281	-2.283124	-1.102317	-1.100063	4.129051	11.556277	6.234849	1.95281	2.283124	0.009069	1.210138	2.916708	5.241122	0.054258	0.089864	2.429401
0	train	H0	H02	300	300	30	30.666667	24.666667	-0.602635	0.664849	0.357096	0.356544	0.354549	2.514018	0.565622	-0.602635	0.664849	0.472763	0.127123	0.280156	0.441847	0.000533	0.0047	-0.698268
0	train	H1	H02	300	300	30	32.333333	33.333333	0.291188	-0.883995	1.008992	1.011562	6.881333	12.852996	9.505984	1.011562	1.008992	0.004966	1.023259	0.001029	0.781277	5.807191	6.145245	0.94915
0	train	H0	H02	500	500	30	29	31.2	0.105088	-0.144578	-0.224505	-0.224083	0.247781	0.787984	0.104097	0.105088	0.224505	0.852339	0.050213	0.006644	0.020861	0.094561	0.077866	0.152582
0	train	H1	H02	500	500	30	30.2	30.2	3.170529	-3.68621	-2.165389	-2.177183	9.245054	16.66864	12.917271	3.170529	3.68621	0.000078	4.740125	8.304637	13.63618	0.160271	0.146218	3.951218
0	train	H0	H02	1,000	1,000	30	29.1	30.1	0.122065	-0.049672	0.119973	0.119902	0.658453	2.276508	0.304338	0.119902	0.119973	0.517036	0.014377	0.011444	0.002467	0.162785	0.142255	0.052636
0	train	H1	H02	1,000	1,000	30	29.1	31.7	4.865742	-5.324484	-3.717844	-3.727301	22.032654	32.783914	26.380876	4.865742	5.324484	0	13.892769	21.267151	28.473171	1.807409	1.728793	5.697652