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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	H03	50	50	20	26	16	-1.113863	1.069387	1.378889	1.378169	1.998422	3.017877	2.067364	1.378169	1.378889	0.267411	1.899349	1.583849	1.140876	2.173228	2.416857	-1.109044
0	train	H1	H03	50	50	20	18	20	-0.56445	0.576029	-0.012801	-0.012746	1.521228	7.055537	2.253998	-0.012746	0.576029	0.070149	0.000162	0.056007	0.333788	0.596568	0.727971	-0.5776
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0	train	H1	H03	75	75	20	22.666667	20	-0.837088	0.820262	0.772217	0.767544	0.652301	1.174992	0.701439	0.767544	0.820262	0.407934	0.589124	0.643884	0.672157	0.271925	0.256221	-0.827535
0	train	H0	H03	100	100	20	21	22	0.182249	-0.190964	-0.210633	-0.210334	0.093629	4.29971	0.044895	0.182249	0.210633	0.230867	0.044241	0.020213	0.036413	0.034218	0.010093	0.197976
0	train	H1	H03	100	100	20	26	25	-2.255791	2.313558	1.655324	1.670516	6.208394	8.584972	6.685243	-2.255791	2.313558	0.017975	2.790624	4.184689	5.38257	0.096193	0.081972	-2.366127
0	train	H0	H03	150	150	20	18	23.333333	2.113635	-2.134195	-1.638401	-1.639247	5.099805	5.192426	5.050213	2.113635	2.134195	0.029158	2.687132	4.014898	4.569601	0.422174	0.453372	2.181343
0	train	H1	H03	150	150	20	20	15.333333	-1.48513	1.493389	1.174857	1.171266	2.234968	2.536855	2.407227	-1.48513	1.493389	0.130228	1.371863	1.869143	2.230934	0.231371	0.23379	-1.513204
0	train	H0	H03	200	200	20	20.5	15.5	0.997369	-1.060854	-0.376903	-0.376712	2.428532	2.808574	2.622678	0.997369	1.060854	0.269459	0.141912	0.658187	1.126542	0.228533	0.216023	1.080565
0	train	H1	H03	200	200	20	19	17.5	-2.700775	2.804856	1.67398	1.678622	9.127364	13.933713	11.153836	-2.700775	2.804856	0.002997	2.817771	5.28297	7.919604	0.037158	0.038781	-2.83707
0	train	H0	H03	300	300	20	21.333333	21	0.713416	-0.788072	-0.171468	-0.171693	1.638658	4.93951	2.063995	0.713416	0.788072	0.17628	0.029478	0.253267	0.621267	0.329374	0.346711	0.802286
0	train	H1	H03	300	300	20	17.333333	23.666667	-0.020762	0.160475	-0.884323	-0.883044	3.348461	6.524044	4.895061	-0.883044	0.884323	0.086507	0.779767	0.181247	0.025786	3.368995	3.42045	-0.16115
0	train	H0	H03	500	500	20	21.2	23.2	0.093353	0.00993	-0.811872	-0.812842	3.606557	3.708701	3.402611	-0.812842	0.811872	0.182445	0.660711	0.079091	0.000099	2.416543	2.427652	-0.008933
0	train	H1	H03	500	500	20	19.4	20.2	-1.935276	2.017539	1.091897	1.092431	4.035799	23.667413	6.68433	-1.935276	2.017539	0.000029	1.193406	2.129898	4.078766	0.110348	0.151667	-2.043638
0	train	H0	H03	1,000	1,000	20	20.8	20.4	-1.246251	1.163531	1.621104	1.624098	2.778615	6.059751	3.009195	1.624098	1.621104	0.108739	2.637694	2.121029	1.354088	2.901036	3.010516	-1.180056
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