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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	H26	20	20	40	40	50	1.090508	-1.158266	-0.933139	-0.923154	1.310671	3.834292	1.410258	1.090508	1.158266	0.225927	0.852212	1.080332	1.340574	0.106861	0.075673	1.210917
7,649	train	H1	H26	20	20	40	55	45	0.453121	-0.67094	-0.293357	-0.293802	0.429849	3.873273	0.532059	-0.293802	0.67094	0.275477	0.086319	0.215191	0.448909	0.003292	0.005966	0.731228
7,649	train	H0	H26	30	30	40	36.666667	26.666667	-2.080476	2.038119	1.871191	1.887818	4.622773	5.713031	4.402208	-2.080476	2.038119	0.028425	3.563859	4.32929	4.204155	0.871628	1.36462	-2.191376
7,649	train	H1	H26	30	30	40	23.333333	36.666667	1.540084	-1.60645	-1.173393	-1.160128	2.730041	2.725791	2.730832	-1.160128	1.60645	0.088527	1.345896	2.190291	2.551709	0.104631	0.146098	1.70322
7,649	train	H0	H26	50	50	40	46	32	-1.309975	1.373226	1.201857	1.200542	1.593517	6.142116	1.734581	1.200542	1.373226	0.104897	1.4413	1.575288	1.884744	0.630995	0.522668	-1.4603
7,649	train	H1	H26	50	50	40	46	44	-0.633626	0.647824	0.610326	0.602373	0.436282	1.408445	0.399593	-0.633626	0.647824	0.488672	0.362854	0.494897	0.419909	0.113951	0.243789	-0.692422
7,649	train	H0	H26	75	75	40	33.333333	56	1.184731	-1.080382	-1.221796	-1.217978	1.484457	2.64239	1.500943	1.184731	1.221796	0.247963	1.48347	1.423231	1.153199	0.807258	0.691027	1.155312
7,649	train	H1	H26	75	75	40	37.333333	38.666667	0.020146	-0.011774	-0.091785	-0.091206	0.078898	0.636076	0.039918	0.020146	0.091785	0.888126	0.008318	0.000017	0.000139	0.009232	0.002256	0.011061
7,649	train	H0	H26	100	100	40	49	47	0.665845	-0.530827	-0.838798	-0.840824	0.826392	0.931946	0.88768	-0.840824	0.838798	0.576814	0.706985	0.504889	0.280244	0.810904	0.847977	0.558045
7,649	train	H1	H26	100	100	40	47	35	0.345311	-0.657341	0.440906	0.440971	4.936787	4.79605	4.900646	0.440971	0.657341	0.086266	0.194456	0.064498	0.431234	2.483403	2.316597	0.697459
7,649	train	H0	H26	150	150	40	35.333333	36.666667	1.493101	-1.499545	-1.32385	-1.322344	2.307145	2.433052	2.260871	1.493101	1.499545	0.113496	1.748594	2.164185	2.248085	0.474426	0.565289	1.582673
7,649	train	H1	H26	150	150	40	40	36.666667	-0.418435	0.253994	0.602108	0.599705	0.396129	5.160482	0.525114	0.599705	0.602108	0.160416	0.359646	0.250423	0.064448	0.546507	0.735231	-0.271709
7,649	train	H0	H26	200	200	40	38	38.5	0.286054	-0.299137	-0.185593	-0.184935	0.162859	0.406618	0.127346	-0.184935	0.299137	0.752581	0.034201	0.081761	0.089065	0.003072	0.000517	0.315238
7,649	train	H1	H26	200	200	40	33.5	41.5	0.197856	-0.345021	-0.106127	-0.106309	0.017407	1.258787	0.083408	-0.106309	0.345021	0.711711	0.011302	0.024559	0.118951	0.007161	0.013967	0.36956
7,649	train	H0	H26	300	300	40	42.333333	37.666667	-0.602665	0.473349	0.971479	0.975171	2.093454	4.409085	1.802548	0.975171	0.971479	0.220544	0.950958	0.391177	0.223954	1.797638	1.696023	-0.498989
7,649	train	H1	H26	300	300	40	37.666667	43.666667	3.054349	-3.279722	-2.411676	-2.412096	9.89125	10.256754	10.603993	3.054349	3.279722	0.000451	5.818208	8.902069	10.766798	0.697061	0.762463	3.508581
7,649	train	H0	H26	500	500	40	39.4	40.6	0.877379	-0.746115	-1.09048	-1.089922	1.329777	1.327917	1.349286	-1.089922	1.09048	0.428882	1.18793	0.825705	0.556699	1.219196	1.186999	0.791107
7,649	train	H1	H26	500	500	40	39.2	38.4	-1.5922	1.232081	1.917877	1.926205	3.776706	8.170255	4.004422	-1.5922	1.917877	0.042621	3.710266	2.897665	1.519642	3.585051	3.804556	-1.315113
7,649	train	H0	H26	1,000	1,000	40	40.1	42.6	-0.312784	0.326628	-0.036538	-0.036512	1.258105	2.247446	0.939863	-0.312784	0.326628	0.522663	0.001333	0.091092	0.106681	0.326798	0.288418	-0.347149
7,649	train	H1	H26	1,000	1,000	40	40.5	37.8	-0.251716	-0.324905	0.82925	0.832705	1.23566	28.95216	2.762093	0.832705	0.82925	0.000002	0.693397	0.190333	0.105558	2.01402	2.124721	0.345032
7,649	train	H0	H26	20	20	50	45	45	-1.041775	0.843979	1.216738	1.279629	2.19395	2.624605	2.14763	1.279629	1.216738	0.341702	1.637451	0.999049	0.718862	2.746004	2.546932	-0.941969
7,649	train	H1	H26	20	20	50	55	60	-1.018618	1.038671	0.528317	0.529136	2.732703	2.782736	2.684867	-1.018618	1.038671	0.227866	0.279985	0.954225	1.10117	0.426839	0.27942	-1.205875
7,649	train	H0	H26	30	30	50	36.666667	46.666667	2.424263	-2.618341	-2.019608	-2.083922	6.643872	8.938216	6.977235	2.424263	2.618341	0.006056	4.342731	6.197547	7.101313	0.899428	0.873638	2.744745
7,649	train	H1	H26	30	30	50	56.666667	40	-0.382081	0.020712	0.945435	0.944023	4.185481	4.4823	4.061477	0.944023	0.945435	0.131239	0.89118	0.154962	0.000427	3.401175	3.21065	-0.011107
7,649	train	H0	H26	50	50	50	44	44	-0.172365	0.37743	-0.434853	-0.430182	3.122367	3.422992	2.892458	-0.430182	0.434853	0.235457	0.185056	0.018908	0.142156	1.608745	1.365053	-0.394
7,649	train	H1	H26	50	50	50	50	50	1.297216	-1.462685	-0.900787	-0.912696	4.182062	5.780735	4.336075	-0.912696	1.462685	0.114402	0.833015	1.487928	2.146943	0.040518	0.037649	1.561666
7,649	train	H0	H26	75	75	50	41.333333	50.666667	0.635834	-0.473078	-0.883048	-0.874403	0.978004	2.448426	1.082497	-0.874403	0.883048	0.484684	0.76458	0.455942	0.223205	0.910953	1.094973	0.510121
7,649	train	H1	H26	75	75	50	56	48	-1.00306	0.755504	1.377824	1.36971	3.03088	3.148386	3.076318	1.36971	1.377824	0.214776	1.876105	1.032683	0.575485	3.310488	3.199707	-0.836254
7,649	train	H0	H26	100	100	50	49	55	0.99929	-1.005043	-0.906554	-0.900661	1.021048	1.039311	1.017626	0.99929	1.005043	0.281399	0.81119	1.059282	1.009701	0.155997	0.173125	1.077181
7,649	train	H1	H26	100	100	50	52	47	-1.390873	1.418803	1.276071	1.269008	1.874131	2.484936	1.953108	-1.390873	1.418803	0.11005	1.610382	1.904271	2.028246	0.555825	0.497338	-1.597968
7,649	train	H0	H26	150	150	50	47.333333	57.333333	0.982042	-0.933938	-0.951017	-0.953054	0.984961	1.295988	0.965863	-0.953054	0.951017	0.31142	0.908311	0.988518	0.870542	0.3479	0.378323	1.012246
7,649	train	H1	H26	150	150	50	45.333333	47.333333	-0.039535	0.189637	-0.417131	-0.417189	2.159466	3.671076	1.877186	-0.039535	0.417131	0.299242	0.174047	0.000002	0.035961	1.097818	0.944916	-0.208035
7,649	train	H0	H26	200	200	50	50.5	49.5	-0.470065	0.624961	0.365692	0.364091	0.208782	2.013883	0.294997	0.364091	0.624961	0.501139	0.132562	0.227521	0.39043	0.012904	0.001698	-0.672699
7,649	train	H1	H26	200	200	50	54.5	50	-0.841127	0.696655	0.758893	0.75799	0.819112	1.388774	0.725635	-0.841127	0.758893	0.447223	0.57455	0.743284	0.485138	0.155574	0.184125	-0.760053
7,649	train	H0	H26	300	300	50	52	49.333333	-0.236178	0.215031	0.178599	0.17841	0.120239	1.573437	0.077799	0.17841	0.215031	0.665428	0.03183	0.059299	0.046351	0.002249	0.01198	-0.230257
7,649	train	H1	H26	300	300	50	50.333333	56.666667	1.4904	-1.887024	-1.073154	-1.072261	3.351244	6.927033	3.738134	-1.072261	1.887024	0.04006	1.149744	2.251455	3.560961	0.000261	0.001047	2.053127
7,649	train	H0	H26	500	500	50	48.4	53.8	2.721277	-2.688413	-2.505181	-2.50547	7.566155	7.621307	7.487631	-2.50547	2.688413	0.004064	6.277382	7.401972	7.236607	2.123471	2.087504	2.873117
7,649	train	H1	H26	500	500	50	53.4	53.8	0.308107	-0.973136	0.239319	0.239455	2.387783	13.801498	3.334145	0.239455	0.973136	0.003188	0.057339	0.094535	0.947318	1.414245	1.525855	1.06466
7,649	train	H0	H26	1,000	1,000	50	48.5	51.7	-0.458199	0.338242	0.397449	0.397882	0.342847	1.897731	0.223122	0.397882	0.397449	0.593902	0.15831	0.21218	0.114524	0.034657	0.052085	-0.362723
7,649	train	H1	H26	1,000	1,000	50	47.9	50.7	0.818711	-1.569627	-0.095459	-0.095464	3.535713	7.909016	4.795996	-0.095464	1.569627	0.04793	0.009113	0.649272	2.464309	1.328547	1.33069	1.714499
7,649	train	H0	H27	20	20	0	0	0	-0.757402	0.757402	0.936717	0.931525	0.927755	1.628165	0.897288	-0.757402	0.936717	0.443051	0.867739	0.68939	0.570286	0.908234	0.833634	-0.767051
7,649	train	H1	H27	20	20	0	0	0	0.973803	-0.973803	-1.172935	-1.172925	1.45419	2.064327	1.408113	-1.172925	1.172935	0.324031	1.375753	1.102922	0.944606	0.999817	0.915779	0.986209
7,649	train	H0	H27	30	30	0	0	0	-0.754006	0.754006	0.852215	0.851916	0.826236	5.840062	0.725994	-0.754006	0.852215	0.119656	0.725761	0.523731	0.566451	0.646976	0.512249	-0.760369
7,649	train	H1	H27	30	30	0	0	0	1.626287	-1.626287	-1.423592	-1.423771	2.412114	4.282276	2.66043	1.626287	1.626287	0.101003	2.027124	2.375169	2.658464	0.614336	0.55599	1.640011
7,649	train	H0	H27	50	50	0	0	0	-1.027179	1.027179	-0.178123	-0.177872	4.930169	6.533652	6.19454	-1.027179	1.027179	0.045172	0.031638	0.260263	1.059157	2.159701	2.192417	-1.032354
7,649	train	H1	H27	50	50	0	0	0	1.502853	-1.502853	-0.642997	-0.637553	2.701865	6.618905	4.235713	1.502853	1.502853	0.085089	0.406473	1.154642	2.278946	0.125507	0.175685	1.510424
7,649	train	H0	H27	75	75	0	0	0	-1.009218	1.009218	1.412138	1.421564	2.523566	3.512778	2.294878	1.421564	1.412138	0.314499	2.020843	1.309743	1.017516	2.351729	2.238848	-1.005826
7,649	train	H1	H27	75	75	0	0	0	-0.727314	0.727314	0.696138	0.692553	0.777175	1.965576	0.542942	0.692553	0.727314	0.468532	0.479629	0.696121	0.528808	0.21198	0.300294	-0.724869
7,649	train	H0	H27	100	100	0	0	0	0.74279	-0.74279	-0.862286	-0.858307	0.754723	0.8148	0.736767	-0.858307	0.862286	0.456481	0.736691	0.757485	0.551752	0.539189	0.52907	0.744654
7,649	train	H1	H27	100	100	0	0	0	0.948035	-0.948035	-0.399159	-0.397902	0.857479	5.065211	1.677336	0.948035	0.948035	0.167084	0.158326	0.415941	0.899755	0.072208	0.115851	0.950414
7,649	train	H0	H27	150	150	0	0	0	0.794677	-0.794677	-0.426218	-0.424864	1.310187	2.057968	0.923473	-0.424864	0.794677	0.426029	0.18051	0.547344	0.631145	0.00481	0.000164	0.796004
7,649	train	H1	H27	150	150	0	0	0	1.586691	-1.586691	-0.774659	-0.772748	3.96074	3.606808	4.055565	1.586691	1.586691	0.111983	0.597139	1.694919	2.520762	0.058775	0.035239	1.589342
7,649	train	H0	H27	200	200	0	0	0	-1.119239	1.119239	1.421194	1.424109	2.206003	2.335375	2.091888	-1.119239	1.421194	0.262441	2.028087	1.444152	1.252668	1.879122	1.867747	-1.12064
7,649	train	H1	H27	200	200	0	0	0	2.016187	-2.016187	-0.494457	-0.49409	5.83764	15.218988	10.586076	2.016187	2.016187	0.001639	0.244125	1.583656	4.086166	1.149842	1.285665	2.018712
7,649	train	H0	H27	300	300	0	0	0	1.062132	-1.062132	-0.987665	-0.986119	1.075014	1.046274	1.144328	1.062132	1.062132	0.287773	0.972431	1.051508	1.127878	0.397323	0.433289	1.063019
7,649	train	H1	H27	300	300	0	0	0	2.892015	-2.892015	-1.442648	-1.44075	9.670377	13.695761	13.044665	2.892015	2.892015	0.00147	2.075761	5.190074	8.400448	0.097935	0.115074	2.894428
7,649	train	H0	H27	500	500	0	0	0	1.565923	-1.565923	-1.123614	-1.122006	2.20776	2.537088	2.678387	1.565923	1.565923	0.117183	1.258897	1.914981	2.453301	0.145782	0.139093	1.566706
7,649	train	H1	H27	500	500	0	0	0	0.711246	-0.711246	-0.179721	-0.179658	0.191068	3.654673	1.282978	0.711246	0.711246	0.301249	0.032277	0.084672	0.506486	0.137819	0.166582	0.711602
7,649	train	H0	H27	1,000	1,000	0	0	0	-0.785477	0.785477	0.31532	0.315051	0.4079	2.614549	1.155212	-0.785477	0.785477	0.432059	0.099257	0.243381	0.617003	0.057221	0.068451	-0.785673
7,649	train	H1	H27	1,000	1,000	0	0	0	2.668206	-2.668206	-1.309127	-1.314987	3.795586	41.708151	11.340191	2.668206	2.668206	0	1.729191	3.005567	7.137612	0.094546	0.118009	2.668873
7,649	train	H0	H27	20	20	10	15	20	-0.044559	-0.069485	0.584457	0.596804	3.285117	5.624251	2.94062	0.596804	0.584457	0.131393	0.356175	0.030589	0.004812	1.741952	1.540171	0.070422
7,649	train	H1	H27	20	20	10	20	10	0.369135	-0.445452	0.327306	0.324916	2.383034	6.219861	2.935394	0.324916	0.445452	0.10139	0.105571	0.004483	0.197493	1.324573	1.542263	0.441202
7,649	train	H0	H27	30	30	10	13.333333	23.333333	1.225855	-1.170475	-1.559003	-1.592685	3.248176	5.906063	3.045573	-1.592685	1.559003	0.116271	2.536646	1.783647	1.36853	2.854479	2.699668	1.218306
7,649	train	H1	H27	30	30	10	3.333333	13.333333	1.403646	-1.42086	-1.351576	-1.340894	1.998884	2.192405	2.011913	-1.340894	1.42086	0.147681	1.797996	2.061999	2.024223	0.751439	0.763566	1.44777
7,649	train	H0	H27	50	50	10	6	12	-0.19517	0.20506	-0.213407	-0.213248	1.392772	4.47646	0.833249	-0.19517	0.213407	0.2144	0.045475	0.020087	0.04196	0.394216	0.265702	-0.20326
7,649	train	H1	H27	50	50	10	14	14	1.1696	-1.199491	-0.719486	-0.721764	2.576943	5.040075	2.115218	-0.721764	1.199491	0.168886	0.520944	1.178593	1.439246	0.000022	0.003481	1.221748
7,649	train	H0	H27	75	75	10	9.333333	5.333333	1.545293	-1.55268	-1.249658	-1.250237	2.420672	2.733218	2.475291	-1.250237	1.55268	0.119934	1.563094	2.193158	2.418216	0.338027	0.334905	1.555051
7,649	train	H1	H27	75	75	10	14.666667	10.666667	0.000465	0.017422	-0.367494	-0.36764	0.987783	2.184481	0.766147	0.000465	0.367494	0.535012	0.135159	0.00993	0.000303	0.462671	0.418349	-0.022885
7,649	train	H0	H27	100	100	10	5	12	2.6632	-2.6639	-2.280217	-2.29203	7.732278	9.432848	7.18636	2.6632	2.6639	0.007272	5.253404	7.05426	7.143314	1.757926	2.0895	2.684103
7,649	train	H1	H27	100	100	10	8	10	2.348351	-2.408879	-1.042179	-1.043654	11.362195	11.048958	11.0746	2.348351	2.408879	0.003937	1.089213	3.836186	5.842273	0.320966	0.225142	2.429235
7,649	train	H0	H27	150	150	10	8	10	0.330513	-0.340215	0.015686	0.015658	0.935223	1.941159	0.594663	0.015658	0.340215	0.584709	0.000245	0.078072	0.115616	0.184342	0.142616	0.342329
7,649	train	H1	H27	150	150	10	12.666667	13.333333	1.276736	-1.324333	-0.42057	-0.419675	3.353992	3.69916	4.452611	1.276736	1.324333	0.107926	0.176127	0.802763	1.758602	0.443553	0.42106	1.33666
7,649	train	H0	H27	200	200	10	11	10.5	-1.100669	1.163569	-0.012997	-0.013022	5.832766	6.531597	6.363392	-1.100669	1.163569	0.041515	0.00017	0.513294	1.354711	1.852082	1.800229	-1.168066
7,649	train	H1	H27	200	200	10	12.5	12	1.598547	-1.634735	-0.836595	-0.837227	3.080075	12.845072	4.573507	1.598547	1.634735	0.004984	0.700949	1.474057	2.677531	0.060424	0.081665	1.64508
7,649	train	H0	H27	300	300	10	11.333333	6.666667	-0.750657	0.700041	1.616208	1.618792	5.057416	5.114039	5.021097	1.618792	1.616208	0.081224	2.620486	1.125464	0.489847	4.828285	4.752515	-0.705695
7,649	train	H1	H27	300	300	10	10.333333	11	1.432316	-1.491756	-0.410457	-0.410469	3.242208	13.36001	5.893024	1.432316	1.491756	0.003919	0.168485	0.813173	2.230173	0.669341	0.723449	1.503852
7,649	train	H0	H27	500	500	10	9.2	11.4	0.417799	-0.419868	-0.369188	-0.368942	0.251428	0.435691	0.174595	-0.368942	0.419868	0.67226	0.136118	0.21879	0.176262	0.044884	0.046648	0.423048
7,649	train	H1	H27	500	500	10	9	7.6	2.104226	-2.14358	-0.892056	-0.892654	6.265024	10.847588	9.09097	2.104226	2.14358	0.010615	0.796831	2.340105	4.602354	0.404515	0.411998	2.155673
7,649	train	H0	H27	1,000	1,000	10	9.4	10.9	-0.082083	0.110353	-0.631576	-0.632253	3.105404	4.532378	2.432686	-0.082083	0.631576	0.20942	0.399744	0.00992	0.012176	1.613128	1.56193	-0.110783
7,649	train	H1	H27	1,000	1,000	10	8.5	10.4	4.413616	-4.406417	-4.181364	-4.209233	18.197848	23.255494	19.882495	-4.209233	4.406417	0.000009	17.717644	17.325693	19.476627	8.670693	8.64061	4.442173
7,649	train	H0	H27	20	20	20	35	20	0.080399	-0.156181	0.202603	0.200126	0.872196	1.789572	0.768509	0.200126	0.202603	0.617207	0.04005	0.001031	0.0242	0.523139	0.457347	0.156586
7,649	train	H1	H27	20	20	20	25	15	0.018796	0.028519	-0.322299	-0.325361	0.92435	1.38645	0.849477	0.018796	0.322299	0.653941	0.10586	0.010591	0.000809	0.497375	0.389903	-0.027585
7,649	train	H0	H27	30	30	20	16.666667	10	-2.051763	2.073976	1.73886	1.754658	4.765971	6.781315	4.356348	-2.051763	2.073976	0.035387	3.078825	4.276013	4.358421	0.644641	1.009581	-2.103905
7,649	train	H1	H27	30	30	20	10	16.666667	0.553335	-0.553742	-0.442867	-0.442363	0.214567	5.541462	0.33576	0.553335	0.553742	0.13618	0.195685	0.187919	0.306127	0.015139	0.001577	0.567838
7,649	train	H0	H27	50	50	20	24	22	-0.249666	0.16875	0.705953	0.703699	1.742188	1.976706	1.63158	-0.249666	0.705953	0.44229	0.495193	0.130498	0.028399	1.500006	1.340806	-0.18337
7,649	train	H1	H27	50	50	20	22	20	0.616667	-0.659295	-0.10119	-0.100627	1.141054	8.612917	1.903569	0.616667	0.659295	0.034906	0.010126	0.102702	0.435882	0.37952	0.530628	0.66884
7,649	train	H0	H27	75	75	20	25.333333	16	-2.507327	2.478054	2.246218	2.268397	5.997526	9.69336	6.397752	-2.507327	2.478054	0.012885	5.145625	5.63638	6.204277	1.719399	1.695242	-2.486936
7,649	train	H1	H27	75	75	20	18.666667	30.666667	1.061674	-0.998762	-1.095343	-1.090003	1.208855	6.855281	1.205858	-1.090003	1.095343	0.076656	1.188106	0.843772	0.997301	0.733504	0.54904	1.016694
7,649	train	H0	H27	100	100	20	16	24	-0.978717	1.082353	0.27343	0.276021	4.710823	8.833908	3.867196	-0.978717	1.082353	0.031583	0.076187	0.761755	1.176485	0.787383	0.638592	-1.094708
7,649	train	H1	H27	100	100	20	18	18	1.184103	-1.32322	-0.072056	-0.07207	7.099244	7.947693	7.853827	1.184103	1.32322	0.019704	0.005194	0.643685	1.755206	1.718264	1.672551	1.339682
7,649	train	H0	H27	150	150	20	19.333333	20	1.227747	-1.19929	-1.202777	-1.202517	1.599201	1.888394	1.546341	1.227747	1.202777	0.224324	1.446048	1.580275	1.439023	0.688992	0.762499	1.215112
7,649	train	H1	H27	150	150	20	22.666667	21.333333	1.996209	-2.116967	-1.012868	-1.012366	7.75383	9.393345	8.582879	1.996209	2.116967	0.013685	1.024886	2.790135	4.501177	0.237787	0.239061	2.15346
7,649	train	H0	H27	200	200	20	19.5	18	-1.56431	1.600308	1.239838	1.238779	2.568807	2.699288	2.6626	-1.56431	1.600308	0.105496	1.534572	2.248094	2.562173	0.242396	0.285335	-1.618772
7,649	train	H1	H27	200	200	20	22	20	-0.016445	-0.18161	0.850842	0.85045	2.435526	11.165538	4.180906	0.85045	0.850842	0.010864	0.723266	0.189326	0.033045	2.726657	3.04104	0.182863
7,649	train	H0	H27	300	300	20	25.333333	20	-1.517475	1.485233	1.549673	1.549065	2.563762	4.410126	2.45342	-1.517475	1.549673	0.131095	2.399602	2.612092	2.205545	1.431614	1.513779	-1.509799
7,649	train	H1	H27	300	300	20	18.333333	22	3.837157	-3.999165	-2.344045	-2.348543	20.86363	24.432604	23.203683	3.837157	3.999165	0.000009	5.515652	11.317978	16.118107	0.000663	0.000744	4.062381
7,649	train	H0	H27	500	500	20	19.6	20	0.67033	-0.646625	-0.883235	-0.882788	0.894194	0.88868	0.899254	-0.882788	0.883235	0.513098	0.779314	0.582133	0.418091	0.834161	0.839815	0.654021
7,649	train	H1	H27	500	500	20	19.4	20.4	1.846654	-2.101866	-0.234792	-0.234952	11.863924	21.854004	15.595296	1.846654	2.101866	0.00007	0.055202	1.541512	4.424115	3.103484	3.137957	2.14468
7,649	train	H0	H27	1,000	1,000	20	20.2	19.3	-0.122188	0.13583	0.011809	0.011804	0.028502	0.215099	0.074787	0.011804	0.13583	0.890471	0.000139	0.001718	0.018448	0.014999	0.017044	-0.137708
7,649	train	H1	H27	1,000	1,000	20	19	21.1	3.150061	-3.353785	-1.742731	-1.743154	10.950553	42.299881	17.570925	3.150061	3.353785	0	3.038585	5.902704	11.279917	0.140047	0.183827	3.412807

Subsets and Splits