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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
7,649	train	H0	H25	20	20	0	0	0	-1.325454	1.325454	1.206557	1.193953	1.682461	2.034478	1.764536	-1.325454	1.325454	0.179486	1.425525	1.662744	1.762849	0.580875	0.588277	-1.34234
7,649	train	H1	H25	20	20	0	0	0	0.649202	-0.649202	-0.604536	-0.59048	0.387317	0.82523	0.420183	-0.59048	0.649202	0.510877	0.348667	0.386255	0.418453	0.086976	0.06367	0.657473
7,649	train	H0	H25	30	30	0	0	0	-0.960988	0.960988	0.9166	0.913219	1.104515	2.883406	0.940276	0.913219	0.960988	0.332497	0.833968	1.03614	0.921383	0.418129	0.646886	-0.969097
7,649	train	H1	H25	30	30	0	0	0	-0.547024	0.547024	1.042796	1.042601	1.808033	1.791021	1.786633	1.042601	1.042796	0.409296	1.087017	0.582561	0.297916	2.062026	1.993789	-0.55164
7,649	train	H0	H25	50	50	0	0	0	0.792789	-0.792789	-0.451601	-0.44879	1.189773	2.583098	0.893601	0.792789	0.792789	0.425577	0.201412	0.522145	0.627022	0.001982	0.002445	0.796783
7,649	train	H1	H25	50	50	0	0	0	-0.710063	0.710063	-0.462991	-0.465444	5.756436	5.508937	6.076622	-0.465444	0.710063	0.047916	0.216638	0.052657	0.504536	2.687374	2.558059	-0.713641
7,649	train	H0	H25	75	75	0	0	0	-0.343924	0.343924	0.35578	0.352617	0.157174	0.541821	0.129791	-0.343924	0.35578	0.731773	0.124339	0.15459	0.118077	0.096219	0.135864	-0.342768
7,649	train	H1	H25	75	75	0	0	0	-0.125917	0.125917	0.308372	0.305799	0.282967	0.694462	0.177196	-0.125917	0.308372	0.874506	0.093513	0.02401	0.015814	0.205137	0.169098	-0.125494
7,649	train	H0	H25	100	100	0	0	0	-2.80501	2.80501	2.264351	2.286636	7.479149	10.328714	8.087685	-2.80501	2.80501	0.004923	5.228703	7.091753	7.953099	0.947822	0.899625	-2.812049
7,649	train	H1	H25	100	100	0	0	0	0.15149	-0.15149	-0.151366	-0.150867	0.177707	3.193171	0.024378	-0.150867	0.15149	0.36279	0.022761	0.066285	0.022911	0.007424	0.026724	0.15187
7,649	train	H0	H25	150	150	0	0	0	0.246257	-0.246257	-0.859039	-0.859052	2.005626	2.170866	1.81047	-0.859052	0.859039	0.404447	0.73797	0.2177	0.060568	1.508178	1.429892	0.246668
7,649	train	H1	H25	150	150	0	0	0	1.305825	-1.305825	-0.997448	-0.995072	2.213407	2.669785	1.787417	-0.995072	1.305825	0.190871	0.990168	1.691706	1.706202	0.175925	0.222514	1.308007
7,649	train	H0	H25	200	200	0	0	0	1.277524	-1.277524	-0.610764	-0.609326	2.397627	2.113171	2.662014	1.277524	1.277524	0.200854	0.371278	1.069845	1.633868	0.043069	0.027	1.279124
7,649	train	H1	H25	200	200	0	0	0	-0.730878	0.730878	0.306463	0.305533	1.279526	1.845168	0.979265	-0.730878	0.730878	0.464294	0.09335	0.398042	0.533843	0.03746	0.020708	-0.731794
7,649	train	H0	H25	300	300	0	0	0	0.521881	-0.521881	-1.662446	-1.673555	6.458569	6.154742	6.565161	-1.673555	1.662446	0.037531	2.800787	0.991103	0.272365	5.801069	5.692996	0.522317
7,649	train	H1	H25	300	300	0	0	0	-0.862423	0.862423	0.807089	0.807357	0.682418	5.266876	0.756995	-0.862423	0.862423	0.153266	0.651825	0.518343	0.743752	0.29819	0.251852	-0.863143
7,649	train	H0	H25	500	500	0	0	0	-0.467302	0.467302	0.377429	0.376857	0.321705	1.23176	0.221574	0.376857	0.467302	0.640116	0.142021	0.23002	0.218294	0.039919	0.055093	-0.467536
7,649	train	H1	H25	500	500	0	0	0	1.06862	-1.06862	-1.061206	-1.063926	2.215732	8.58289	1.216801	-1.063926	1.06862	0.035383	1.131939	1.749051	1.142659	0.652596	0.733239	1.069155
7,649	train	H0	H25	1,000	1,000	0	0	0	0.564308	-0.564308	-0.731993	-0.731475	0.575083	0.778244	0.554716	0.564308	0.731993	0.572449	0.535056	0.397878	0.318391	0.478491	0.455742	0.564449
7,649	train	H1	H25	1,000	1,000	0	0	0	-1.283805	1.283805	0.914102	0.91495	0.885235	9.312159	1.810911	-1.283805	1.283805	0.025416	0.837134	0.932391	1.648744	0.083848	0.067795	-1.284127
7,649	train	H0	H25	20	20	10	0	15	-0.953093	0.961587	-0.119289	-0.118014	5.982371	5.963562	5.968461	-0.953093	0.961587	0.050578	0.013927	0.289027	0.92819	2.061453	1.875316	-0.923409
7,649	train	H1	H25	20	20	10	10	5	0.905144	-0.901621	-1.306256	-1.3716	2.726858	2.648936	2.805026	-1.3716	1.306256	0.245978	1.881286	1.312724	0.820803	2.400991	2.386936	0.909838
7,649	train	H0	H25	30	30	10	16.666667	16.666667	-0.812976	0.807234	0.442543	0.437511	1.163058	1.204749	1.184348	-0.812976	0.807234	0.405374	0.191416	0.466594	0.663436	0.021481	0.010934	-0.832062
7,649	train	H1	H25	30	30	10	6.666667	6.666667	-0.403944	0.403045	0.499531	0.493459	0.24886	0.672161	0.249286	-0.403944	0.499531	0.678058	0.243502	0.256931	0.168351	0.271923	0.302472	-0.415115
7,649	train	H0	H25	50	50	10	8	12	0.653261	-0.658377	-0.673918	-0.666069	0.459163	2.217372	0.459919	0.653261	0.673918	0.504715	0.443648	0.341545	0.428243	0.208411	0.140767	0.66709
7,649	train	H1	H25	50	50	10	2	12	1.178327	-1.175524	-1.736596	-1.749761	4.078557	4.291954	3.878174	-1.749761	1.736596	0.143835	3.061663	1.935796	1.379214	3.713392	3.613168	1.203122
7,649	train	H0	H25	75	75	10	14.666667	4	-0.830747	0.844164	0.494114	0.490637	0.962565	0.915601	0.989639	-0.830747	0.844164	0.395778	0.240725	0.520977	0.7107	0.000157	0.00239	-0.849185
7,649	train	H1	H25	75	75	10	12	10.666667	0.038442	0	-0.27172	-0.272098	0.144254	1.909325	0.300171	-0.272098	0.27172	0.591438	0.074038	0.032231	0	0.202637	0.241066	0.001712
7,649	train	H0	H25	100	100	10	10	8	-0.199608	0.162765	0.981543	0.985186	3.50795	3.400214	3.503853	0.985186	0.981543	0.173439	0.970591	0.245769	0.026462	2.861354	2.752931	-0.166625
7,649	train	H1	H25	100	100	10	7	12	1.191727	-1.172511	-1.611929	-1.619893	3.067609	3.252784	2.969668	1.191727	1.611929	0.22654	2.624054	1.836843	1.374752	2.727301	2.643978	1.188644
7,649	train	H0	H25	150	150	10	10.666667	13.333333	-0.674296	0.701952	0.319127	0.318271	0.858704	1.0556	0.895712	-0.674296	0.701952	0.480025	0.101296	0.321413	0.49254	0.026972	0.027159	-0.706262
7,649	train	H1	H25	150	150	10	11.333333	8	-1.40784	1.451172	0.723669	0.720749	2.395041	5.098057	3.328203	-1.40784	1.451172	0.142764	0.519479	1.24959	2.107718	0.06733	0.084172	-1.465574
7,649	train	H0	H25	200	200	10	10	10.5	1.132678	-1.175499	-0.50428	-0.502813	1.769633	3.807412	2.501954	1.132678	1.175499	0.233953	0.252821	0.769695	1.382698	0.109063	0.134241	1.190237
7,649	train	H1	H25	200	200	10	12.5	9.5	-2.085183	2.100922	1.704839	1.705355	4.178627	5.566377	4.503277	-2.085183	2.100922	0.034254	2.908235	3.906818	4.426996	0.605368	0.569262	-2.117066
7,649	train	H0	H25	300	300	10	11.666667	12.666667	-0.240396	0.217038	0.527047	0.52683	0.619729	0.67874	0.562115	-0.240396	0.527047	0.754985	0.277549	0.100937	0.047081	0.552824	0.561336	-0.220517
7,649	train	H1	H25	300	300	10	8.666667	12.333333	1.021784	-0.998144	-1.288118	-1.287503	1.664168	2.124546	1.744033	-1.287503	1.288118	0.314629	1.657663	1.479585	0.996332	1.59001	1.556619	1.005555
7,649	train	H0	H25	500	500	10	10	12.6	-0.466946	0.53435	-0.319039	-0.31897	1.662151	6.187816	2.88351	-0.466946	0.53435	0.102822	0.101742	0.00899	0.285674	1.286424	1.367452	-0.540088
7,649	train	H1	H25	500	500	10	12	11	0.127201	-0.109568	-0.357073	-0.356607	0.180005	0.856633	0.312231	-0.356607	0.357073	0.835879	0.127169	0.074783	0.011979	0.269123	0.276962	0.110243
7,649	train	H0	H25	1,000	1,000	10	9.1	9.9	-0.395643	0.441539	-0.509624	-0.509525	2.991738	3.379443	3.759444	-0.395643	0.509624	0.152633	0.259616	0.000172	0.194959	1.937795	1.917768	-0.444675
7,649	train	H1	H25	1,000	1,000	10	9.8	9.5	-0.277865	0.305192	-0.189499	-0.189422	0.465194	2.422217	0.987179	-0.189422	0.305192	0.489512	0.035881	0.000232	0.093162	0.438216	0.452215	-0.307901
7,649	train	H0	H25	20	20	20	5	45	0.701993	-0.511589	-1.767401	-1.775048	12.263681	13.557406	11.766341	-1.775048	1.767401	0.002786	3.150797	1.072978	0.260085	9.775091	9.298916	0.617838
7,649	train	H1	H25	20	20	20	15	15	0.074995	-0.096763	0.214047	0.211463	0.53755	0.598031	0.505868	0.074995	0.214047	0.776519	0.044716	0.000311	0.009279	0.401195	0.380921	0.08887
7,649	train	H0	H25	30	30	20	20	16.666667	0.299945	-0.279419	-0.351221	-0.346615	0.120248	0.123669	0.121666	0.299945	0.351221	0.766132	0.120142	0.111079	0.077728	0.057903	0.055692	0.297438
7,649	train	H1	H25	30	30	20	16.666667	13.333333	1.971811	-2.00629	-1.387171	-1.408796	4.925	6.129341	5.234693	1.971811	2.00629	0.040547	1.984706	3.139356	4.083333	0.128304	0.134692	2.048137
7,649	train	H0	H25	50	50	20	20	16	-0.628575	0.629193	0.291851	0.288598	0.827282	0.810369	0.88683	-0.628575	0.629193	0.521673	0.083289	0.243922	0.395306	0.038747	0.026272	-0.640769
7,649	train	H1	H25	50	50	20	12	20	1.777162	-1.675757	-2.547295	-2.6864	11.244499	11.150247	11.183903	-2.6864	2.547295	0.003728	7.216747	4.661805	2.836374	10.463081	10.3912	1.644028
7,649	train	H0	H25	75	75	20	24	22.666667	-0.733677	0.810278	0.269357	0.268327	1.976835	2.3423	1.813239	-0.733677	0.810278	0.403887	0.071999	0.41093	0.65631	0.209488	0.155817	-0.814273
7,649	train	H1	H25	75	75	20	18.666667	18.666667	-1.189696	1.269022	0.421829	0.423042	4.385167	4.58091	4.118036	-1.189696	1.269022	0.127579	0.178965	0.968761	1.611223	0.513818	0.454747	-1.298092
7,649	train	H0	H25	100	100	20	17	13	-0.514386	0.492657	0.845018	0.844271	1.223632	2.030288	1.078719	0.844271	0.845018	0.566144	0.712793	0.366188	0.242313	1.188035	1.074608	-0.501605
7,649	train	H1	H25	100	100	20	26	25	-1.933877	1.96691	1.650937	1.655686	3.805515	4.357799	3.887447	-1.933877	1.96691	0.042953	2.741295	3.65454	3.887895	0.608246	0.602475	-2.024169
7,649	train	H0	H25	150	150	20	18.666667	19.333333	0.459082	-0.385846	-0.868982	-0.87009	1.183217	3.148347	1.400321	0.459082	0.868982	0.369314	0.757057	0.370216	0.148758	1.310267	1.489588	0.396102
7,649	train	H1	H25	150	150	20	24	18.666667	-0.362114	0.30958	0.656532	0.656022	0.979366	1.758881	0.790706	-0.362114	0.656532	0.623924	0.430364	0.152266	0.096241	0.797334	0.781474	-0.319587
7,649	train	H0	H25	200	200	20	18.5	19.5	0.314443	-0.374255	0.315286	0.314948	2.088116	2.635247	2.162185	0.314948	0.374255	0.339225	0.099193	0.011453	0.139935	1.050555	1.103115	0.381
7,649	train	H1	H25	200	200	20	16.5	18.5	1.265124	-1.260052	-1.176634	-1.174296	1.586595	1.598082	1.605086	-1.174296	1.260052	0.19947	1.37897	1.573038	1.587437	0.536198	0.538251	1.283062
7,649	train	H0	H25	300	300	20	19	21.333333	0.162115	-0.147989	-0.219359	-0.218913	0.063889	0.093411	0.056429	-0.218913	0.219359	0.880121	0.047923	0.026758	0.021886	0.042858	0.04318	0.150816
7,649	train	H1	H25	300	300	20	16.666667	19.666667	1.345872	-1.289403	-1.676756	-1.680303	2.830668	8.314067	3.027053	-1.680303	1.676756	0.039948	2.823417	2.61537	1.663669	2.864726	2.976143	1.313045
7,649	train	H0	H25	500	500	20	22.4	19.4	-1.020669	0.994556	0.985185	0.984222	1.266003	3.690893	1.058386	-1.020669	0.994556	0.296835	0.968693	1.244799	0.989058	0.465144	0.521898	-1.0172
7,649	train	H1	H25	500	500	20	20	20.8	1.280036	-1.19574	-1.834006	-1.843976	4.400287	4.33121	4.518778	1.280036	1.834006	0.104414	3.400248	2.29311	1.430863	4.466698	4.424014	1.21129
7,649	train	H0	H25	1,000	1,000	20	20.2	20.5	0.377492	-0.348634	-0.625057	-0.625151	0.730976	1.275841	0.617036	-0.625151	0.625057	0.72207	0.390814	0.178937	0.121524	0.58748	0.577529	0.355694
7,649	train	H1	H25	1,000	1,000	20	21.8	20.9	1.545483	-1.419614	-2.01434	-2.020988	4.191677	8.071505	4.636775	-2.020988	2.01434	0.044557	4.084392	3.450581	2.016763	4.509006	4.585312	1.446614
7,649	train	H0	H25	20	20	30	40	35	-0.183756	0.116883	0.381693	0.37314	0.430146	0.774455	0.389734	0.37314	0.381693	0.822944	0.139234	0.041767	0.013585	0.521798	0.417409	-0.146052
7,649	train	H1	H25	20	20	30	0	25	0.210172	-0.155119	-0.845232	-0.823379	1.907105	2.118662	2.160881	-0.823379	0.845232	0.339446	0.677952	0.220678	0.023989	1.558567	1.555997	0.182495
7,649	train	H0	H25	30	30	30	36.666667	30	-0.204564	0.312241	-0.010271	-0.010185	0.205181	3.024277	0.395202	-0.010185	0.312241	0.387897	0.000104	0.011915	0.097297	0.056917	0.122429	-0.330689
7,649	train	H1	H25	30	30	30	33.333333	26.666667	-0.809499	0.860919	0.380598	0.375613	2.146916	2.75198	1.968935	-0.809499	0.860919	0.373638	0.141085	0.523436	0.737883	0.226927	0.111692	-0.872946
7,649	train	H0	H25	50	50	30	34	30	-0.014076	0.031175	-0.083078	-0.082518	0.07973	0.084518	0.07647	-0.014076	0.083078	0.962487	0.006809	0.00011	0.001228	0.020907	0.014108	-0.038324
7,649	train	H1	H25	50	50	30	32	28	0.428805	-0.463054	-0.199361	-0.199106	0.819927	4.726592	0.501216	0.428805	0.463054	0.192948	0.039643	0.226993	0.214648	0.05195	0.013359	0.480919
7,649	train	H0	H25	75	75	30	36	21.333333	-0.64447	0.449543	1.364197	1.359039	4.155189	6.281036	4.490139	1.359039	1.364197	0.09871	1.846988	0.682443	0.201606	4.016514	4.169803	-0.467375
7,649	train	H1	H25	75	75	30	24	22.666667	1.609666	-1.523943	-1.891159	-1.931031	3.87992	3.897726	3.903888	-1.931031	1.891159	0.114555	3.728879	3.022283	2.338455	3.196081	3.220683	1.578046
7,649	train	H0	H25	100	100	30	26	35	-0.1872	0.402902	-0.551383	-0.552159	3.711058	5.818056	4.132105	-0.552159	0.551383	0.120806	0.304879	0.000114	0.162443	2.31209	2.360869	-0.4108
7,649	train	H1	H25	100	100	30	17	38	3.072694	-2.857521	-3.562358	-3.620577	13.632681	14.352343	13.74612	-3.620577	3.562358	0.001035	13.108576	10.444592	8.190358	12.301737	12.620587	2.961023
7,649	train	H0	H25	150	150	30	32.666667	26	-0.257101	0.268909	0.172956	0.172792	0.044079	3.34809	0.105381	0.172792	0.268909	0.341005	0.029857	0.02506	0.072296	0.001422	0.000139	-0.279067
7,649	train	H1	H25	150	150	30	32	34	0.338639	-0.345152	-0.284606	-0.284653	0.131602	0.142046	0.124681	-0.284653	0.345152	0.722174	0.081027	0.115293	0.117955	0.007149	0.003784	0.355554
7,649	train	H0	H25	200	200	30	26.5	25	0.098617	-0.056087	-0.344274	-0.343907	0.675614	3.377788	0.465527	0.098617	0.344274	0.336962	0.118272	0.010998	0.003144	0.330911	0.300458	0.05947
7,649	train	H1	H25	200	200	30	28	31	0.592914	-0.508497	-0.7892	-0.788714	0.723116	0.71568	0.767095	-0.788714	0.7892	0.597311	0.622071	0.450358	0.258505	0.759537	0.731507	0.528271
7,649	train	H0	H25	300	300	30	33.333333	30.333333	0.540881	-0.585081	-0.333438	-0.333233	0.479982	0.618562	0.540665	-0.333233	0.585081	0.54546	0.111044	0.225774	0.342321	0.008832	0.011588	0.604578
7,649	train	H1	H25	300	300	30	28.333333	29	-0.058291	0.221046	-0.509993	-0.510224	1.668464	5.554222	2.256917	-0.510224	0.509993	0.135431	0.260329	0.017989	0.048965	1.393919	1.490318	-0.228221
7,649	train	H0	H25	500	500	30	31	28	-0.814277	0.807863	0.721246	0.720339	0.695711	0.727645	0.672737	-0.814277	0.807863	0.404133	0.518889	0.657389	0.652427	0.180277	0.17974	-0.834262
7,649	train	H1	H25	500	500	30	30.8	29.8	-0.163949	0.213516	-0.052766	-0.052773	0.223181	1.527557	0.351638	-0.052773	0.213516	0.675925	0.002785	0.002874	0.045694	0.118604	0.13783	-0.221597
7,649	train	H0	H25	1,000	1,000	30	30.9	30.8	0.951198	-1.026404	-0.534182	-0.534163	2.046817	2.378009	1.875943	0.951198	1.026404	0.289211	0.28533	0.803408	1.053573	0.047778	0.044264	1.059855
7,649	train	H1	H25	1,000	1,000	30	30.2	30	0.54141	-0.241723	-1.421902	-1.424817	4.921747	20.452743	6.661505	-1.424817	1.421902	0.000137	2.030104	0.804291	0.058368	5.633601	5.7796	0.247974
7,649	train	H0	H25	20	20	40	30	50	1.547972	-1.314719	-1.819868	-1.877707	4.785613	5.080526	4.734409	-1.877707	1.819868	0.093742	3.525785	2.433053	1.737603	4.285725	4.232767	1.345293
7,649	train	H1	H25	20	20	40	25	60	0.919589	-0.753836	-1.221943	-1.206962	2.448991	3.208083	2.375527	-1.206962	1.221943	0.304902	1.456758	0.872547	0.564267	2.005523	1.870208	0.840422
7,649	train	H0	H25	30	30	40	40	50	1.104052	-0.909205	-1.394919	-1.408605	2.965466	4.290989	2.826858	-1.408605	1.394919	0.231709	1.984168	1.154119	0.80833	2.422752	2.194183	0.982085
7,649	train	H1	H25	30	30	40	36.666667	43.333333	0.249002	-0.168696	-0.368853	-0.369762	0.233358	1.107045	0.268793	-0.369762	0.368853	0.775374	0.136724	0.080319	0.028418	0.147864	0.167364	0.182674
7,649	train	H0	H25	50	50	40	26	32	-0.069425	0.022739	0.294865	0.29688	0.550365	0.959137	0.489002	-0.069425	0.294865	0.783095	0.088138	0.013234	0.000516	0.46137	0.421878	-0.026444
7,649	train	H1	H25	50	50	40	38	34	-0.037666	-0.045362	0.205283	0.202968	0.15088	3.064486	0.252118	-0.037666	0.205283	0.381789	0.041196	0.01447	0.00205	0.196993	0.328278	0.041903
7,649	train	H0	H25	75	75	40	32	45.333333	0.48553	-0.195689	-1.16443	-1.172148	5.472845	5.423716	5.445835	-1.172148	1.16443	0.065683	1.373931	0.339481	0.0383	4.125761	3.952875	0.207967
7,649	train	H1	H25	75	75	40	38.666667	34.666667	-0.117779	0.07516	0.1117	0.110768	0.038591	2.265925	0.013488	-0.117779	0.1117	0.51908	0.01227	0.024475	0.00564	0.021527	0.06896	-0.077657
7,649	train	H0	H25	100	100	40	34	33	-0.299906	0.152369	0.761213	0.762137	2.003221	2.196142	2.042437	-0.299906	0.761213	0.360156	0.580853	0.166059	0.023176	1.773754	1.784584	-0.16296
7,649	train	H1	H25	100	100	40	45	41	0.753943	-0.738237	-0.583863	-0.586909	0.803078	0.972071	0.741936	-0.586909	0.738237	0.436618	0.344462	0.554188	0.542696	0.03343	0.031276	0.777917
7,649	train	H0	H25	150	150	40	46.666667	42	-0.08638	-0.141745	0.519304	0.51865	2.528337	3.697542	2.292036	0.51865	0.519304	0.296031	0.268998	0.002591	0.020076	1.472966	1.398316	0.147202
7,649	train	H1	H25	150	150	40	36	45.333333	2.07381	-1.678687	-2.908477	-2.958052	14.890928	17.075338	14.364941	-2.958052	2.908477	0.000682	8.750075	4.735923	2.818403	13.729415	13.37743	1.779333
7,649	train	H0	H25	200	200	40	41.5	40	0.549641	-0.74343	-0.118974	-0.118603	1.534228	2.725785	1.827543	0.549641	0.74343	0.401009	0.014067	0.223326	0.553138	0.435961	0.413616	0.777315
7,649	train	H1	H25	200	200	40	36.5	35	0.167214	0.058861	-0.584047	-0.585157	1.008264	5.732716	1.574622	-0.585157	0.584047	0.125364	0.342409	0.099826	0.003465	1.202503	1.353187	-0.062497
7,649	train	H0	H25	300	300	40	40.333333	41.333333	0.341919	-0.349585	-0.364143	-0.363231	0.144923	1.473084	0.131991	-0.363231	0.364143	0.688496	0.131937	0.092591	0.121975	0.078299	0.0513	0.364435
7,649	train	H1	H25	300	300	40	40.333333	43.333333	2.152159	-2.091443	-2.157105	-2.170981	4.790429	4.78624	4.800627	2.152159	2.157105	0.028956	4.713159	4.64343	4.382572	2.624698	2.693594	2.18409
7,649	train	H0	H25	500	500	40	45.4	38.8	-2.73974	2.581235	3.013535	3.025886	9.417983	11.464528	9.312433	-2.73974	3.013535	0.006573	9.155989	7.711292	6.66917	7.654632	7.514908	-2.717736
7,649	train	H1	H25	500	500	40	43	37.4	-1.489014	1.494554	1.437658	1.438395	2.113902	5.717066	2.224906	-1.489014	1.494554	0.118709	2.068979	2.008849	2.234165	0.997198	0.922891	-1.560216
7,649	train	H0	H25	1,000	1,000	40	41.5	42.8	-0.601644	0.780514	0.239146	0.239289	1.188177	2.949378	1.444975	0.239289	0.780514	0.399496	0.057259	0.274282	0.60928	0.18401	0.191483	-0.822953
7,649	train	H1	H25	1,000	1,000	40	39.5	37	-0.688097	1.000743	-0.069947	-0.070075	4.558593	8.895193	5.312239	-0.070075	1.000743	0.030717	0.00491	0.29842	1.001909	1.761612	1.808864	-1.044809

Subsets and Splits