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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	H19	20	20	50	60	40	-0.91421	0.945884	0.63897	0.6362	1.920283	3.170301	2.008756	0.6362	0.945884	0.271068	0.404751	0.682196	1.00074	0.001287	0.004709	-1.100607
7,649	train	H1	H19	20	20	50	20	65	2.083175	-2.106147	-2.064645	-2.061115	4.378203	4.450632	4.386976	2.083175	2.106147	0.023078	4.248195	4.487923	4.36784	2.090619	2.185381	2.272149
7,649	train	H0	H19	30	30	50	40	30	-0.763223	0.589299	1.376632	1.39261	5.596629	9.133289	5.128365	1.39261	1.376632	0.02757	1.939362	0.770629	0.348036	4.533488	4.170521	-0.671884
7,649	train	H1	H19	30	30	50	43.333333	50	-0.167511	0.087555	0.348962	0.343535	0.414837	0.429546	0.404033	-0.167511	0.348962	0.817081	0.118016	0.034104	0.007649	0.556404	0.518237	-0.087454
7,649	train	H0	H19	50	50	50	42	52	0.573214	-0.513599	-0.692465	-0.691345	0.598721	0.976494	0.617743	-0.691345	0.692465	0.587805	0.477958	0.373206	0.249491	0.43249	0.468103	0.542019
7,649	train	H1	H19	50	50	50	40	50	-0.094544	0.146685	0.111773	0.11175	0.024106	0.71179	0.013287	-0.094544	0.146685	0.851292	0.012488	0.00977	0.027539	0.050609	0.027304	-0.18747
7,649	train	H0	H19	75	75	50	50.666667	48	-1.628514	1.483681	1.585588	1.611411	2.752493	3.26647	2.709472	-1.628514	1.585588	0.09311	2.596647	2.709572	2.28734	1.355746	1.426998	-1.679218
7,649	train	H1	H19	75	75	50	54.666667	56	-1.558109	1.5057	1.526679	1.569743	2.509985	2.550949	2.506391	-1.558109	1.526679	0.089548	2.464094	2.496739	2.317108	1.587987	1.670105	-1.697788
7,649	train	H0	H19	100	100	50	49	54	1.199272	-1.336829	-1.013581	-1.008835	1.505111	1.888351	1.594716	1.199272	1.336829	0.143191	1.017748	1.513185	1.757201	0.152302	0.151861	1.464012
7,649	train	H1	H19	100	100	50	42	51	-1.007931	1.173636	0.419091	0.419896	3.555635	3.549653	3.599664	-1.007931	1.173636	0.165327	0.176313	0.846345	1.429671	0.460269	0.363032	-1.341641
7,649	train	H0	H19	150	150	50	63.333333	46	-1.571873	1.212854	2.004786	1.993148	5.235019	6.566881	5.41545	-1.571873	2.004786	0.066688	3.972639	2.459077	1.517668	5.564495	5.96409	-1.394863
7,649	train	H1	H19	150	150	50	48	50	-2.307512	2.665437	1.552177	1.568168	8.890116	16.798293	9.932159	-2.307512	2.665437	0.000778	2.45915	4.798333	7.254703	0.110439	0.122383	-2.986047
7,649	train	H0	H19	200	200	50	53.5	45.5	-0.834913	1.009578	0.474459	0.473352	1.614174	1.840681	1.792337	0.473352	1.009578	0.262281	0.224062	0.592771	1.037631	0.094529	0.087781	-1.121015
7,649	train	H1	H19	200	200	50	51.5	48.5	-2.395598	2.50721	2.12455	2.150956	5.806882	10.366052	6.097287	2.150956	2.50721	0.005915	4.626613	5.504096	6.335099	1.245187	1.192904	-2.752435
7,649	train	H0	H19	300	300	50	48	49	-0.274525	0.207557	0.386882	0.386909	0.232223	0.24349	0.236572	0.386909	0.386882	0.811119	0.149698	0.085609	0.046513	0.268179	0.283407	-0.238983
7,649	train	H1	H19	300	300	50	49.666667	51.333333	-3.020415	3.389062	2.116927	2.135739	14.518476	14.965945	15.089961	-3.020415	3.389062	0.00013	4.561381	8.711677	11.703177	0.051334	0.029847	-3.826282
7,649	train	H0	H19	500	500	50	47	49.8	1.690252	-1.576912	-2.029591	-2.031097	4.849246	6.107411	4.637645	-2.031097	2.029591	0.081306	4.125354	2.813123	2.46434	4.330283	4.230502	1.743157
7,649	train	H1	H19	500	500	50	53.8	46.6	-4.539586	4.568333	4.322873	4.35507	20.524693	21.272683	20.81166	-4.539586	4.568333	0	18.966635	20.609975	21.068944	7.407821	7.510791	-5.076267
7,649	train	H0	H19	1,000	1,000	50	49.4	49.9	-0.45386	0.351206	0.500535	0.500486	0.250578	0.591081	0.254347	-0.45386	0.500535	0.693411	0.250486	0.228231	0.126962	0.214167	0.209523	-0.39423
7,649	train	H1	H19	1,000	1,000	50	50.8	49.3	-4.24633	4.384861	3.610131	3.633215	20.041644	19.858748	19.926048	-4.24633	4.384861	0.000001	13.20025	17.813738	19.326613	2.053306	2.137942	-4.858181
7,649	train	H0	H21	20	20	0	0	0	0.649202	-0.649202	-0.823501	-0.814992	0.671874	0.665221	0.6878	-0.814992	0.823501	0.510877	0.664212	0.579489	0.421207	0.54607	0.552919	0.657473
7,649	train	H1	H21	20	20	0	0	0	-0.243451	0.243451	0.135556	0.132007	0.024231	1.525457	0.089463	-0.243451	0.243451	0.676408	0.017426	0.020753	0.058888	0.003736	0.000732	-0.246552
7,649	train	H0	H21	30	30	0	0	0	0.354826	-0.354826	-1.160347	-1.189342	4.906046	6.671251	4.382914	-1.189342	1.160347	0.083148	1.414534	0.466343	0.125306	3.418789	3.183721	0.357821
7,649	train	H1	H21	30	30	0	0	0	0.310473	-0.310473	-0.172385	-0.169333	0.0728	1.212666	0.141946	-0.169333	0.310473	0.749968	0.028674	0.053687	0.095854	0.00463	0.020319	0.313093
7,649	train	H0	H21	50	50	0	0	0	0.799683	-0.799683	0.054392	0.054638	4.068352	5.293495	3.336023	0.054638	0.799683	0.151525	0.002985	0.27979	0.638557	0.897464	0.748289	0.803712
7,649	train	H1	H21	50	50	0	0	0	0.737639	-0.737639	0.251618	0.251614	4.208851	3.992516	4.241042	0.737639	0.737639	0.119969	0.063309	0.125951	0.543657	1.530529	1.396324	0.741355
7,649	train	H0	H21	75	75	0	0	0	-0.817523	0.817523	1.550301	1.570539	4.022855	3.965666	3.98752	1.570539	1.550301	0.136182	2.466591	1.301828	0.668156	4.063124	3.975349	-0.814775
7,649	train	H1	H21	75	75	0	0	0	-0.791212	0.791212	1.330574	1.347072	2.935205	3.486356	2.562309	1.347072	1.330574	0.277716	1.814602	0.927142	0.625871	2.538138	2.428492	-0.788553
7,649	train	H0	H21	100	100	0	0	0	0.122169	-0.122169	0.388024	0.385815	0.484455	2.715586	1.019256	0.385815	0.388024	0.437585	0.148853	0.030981	0.014915	0.67696	0.798906	0.122476
7,649	train	H1	H21	100	100	0	0	0	-1.927834	1.927834	1.675905	1.687552	3.249307	9.086792	3.73283	-1.927834	1.927834	0.028159	2.847832	3.30335	3.732515	0.876967	0.779446	-1.932672
7,649	train	H0	H21	150	150	0	0	0	-2.15774	2.15774	2.556775	2.594796	6.838139	7.010894	6.799076	-2.15774	2.556775	0.030669	6.732964	5.631404	4.669816	5.695113	5.662882	-2.161345
7,649	train	H1	H21	150	150	0	0	0	1.735776	-1.735776	-1.376785	-1.376245	3.191429	3.276198	3.09685	1.735776	1.735776	0.082092	1.894051	2.773241	3.020048	0.445204	0.528908	1.738676
7,649	train	H0	H21	200	200	0	0	0	-1.41159	1.41159	1.529008	1.530769	2.532053	3.756227	2.369522	1.530769	1.529008	0.157551	2.343253	2.480498	1.993727	1.51319	1.673732	-1.413358
7,649	train	H1	H21	200	200	0	0	0	-1.09329	1.09329	0.994128	0.991087	1.072655	1.47256	1.202318	-1.09329	1.09329	0.273666	0.982253	1.084821	1.195427	0.399758	0.37957	-1.09466
7,649	train	H0	H21	300	300	0	0	0	0.318404	-0.318404	-0.526203	-0.525056	0.319283	0.393341	0.352803	-0.525056	0.526203	0.749977	0.275684	0.176325	0.101313	0.329043	0.32249	0.31867
7,649	train	H1	H21	300	300	0	0	0	1.296226	-1.296226	-0.012985	-0.013	6.384308	5.698453	6.829802	1.296226	1.296226	0.03288	0.000169	0.661966	1.681355	1.596569	1.506575	1.297307
7,649	train	H0	H21	500	500	0	0	0	-1.745048	1.745048	1.407386	1.40979	2.222115	10.217171	3.096054	-1.745048	1.745048	0.016808	1.987507	2.32339	3.047862	0.460887	0.412465	-1.745921
7,649	train	H1	H21	500	500	0	0	0	-1.030956	1.030956	1.19326	1.195913	1.672098	7.427027	1.43062	-1.030956	1.19326	0.059463	1.430208	1.011157	1.06292	1.111582	1.039806	-1.031472
7,649	train	H0	H21	1,000	1,000	0	0	0	0.554473	-0.554473	-0.220164	-0.219874	0.599136	0.576009	0.579778	0.554473	0.554473	0.579161	0.048345	0.197126	0.307392	0.03314	0.028329	0.554611
7,649	train	H1	H21	1,000	1,000	0	0	0	1.736367	-1.736367	-0.973922	-0.973934	4.528574	4.569909	4.156748	1.736367	1.736367	0.082422	0.948547	2.390158	3.015946	0.000885	0.000018	1.736801
7,649	train	H0	H21	20	20	10	15	10	-0.950751	0.958466	0.722877	0.719036	1.177875	2.160716	1.042688	0.719036	0.958466	0.327336	0.517012	0.818613	0.915577	0.080865	0.14296	-0.979493
7,649	train	H1	H21	20	20	10	15	5	-0.294305	0.292083	0.140952	0.137674	0.274547	0.960914	0.172271	0.137674	0.292083	0.767186	0.018954	0.076692	0.084531	0.002541	0.002338	-0.296058
7,649	train	H0	H21	30	30	10	10	16.666667	-1.105909	1.15381	0.455277	0.457975	3.460806	4.039076	3.11429	-1.105909	1.15381	0.210737	0.209741	0.887822	1.338121	0.346673	0.224433	-1.166493
7,649	train	H1	H21	30	30	10	23.333333	0	-0.592683	0.497582	1.639203	1.654662	9.034282	10.004467	8.547603	1.654662	1.639203	0.013929	2.737905	0.924413	0.246436	6.72434	6.34481	-0.525802
7,649	train	H0	H21	50	50	10	16	10	0.15137	-0.142287	-0.225754	-0.226253	0.189763	6.461525	0.069576	0.15137	0.225754	0.091192	0.051191	0.009805	0.020193	0.079218	0.044653	0.139
7,649	train	H1	H21	50	50	10	12	6	0.253696	-0.286617	0.396647	0.394054	2.855617	6.185975	2.062103	0.253696	0.396647	0.102905	0.155279	0.01218	0.081808	1.083001	0.870155	0.278018
7,649	train	H0	H21	75	75	10	10.666667	10.666667	0.129754	-0.094756	-0.497064	-0.496881	0.732837	1.006973	0.777253	-0.496881	0.497064	0.677988	0.246891	0.074311	0.008963	0.592922	0.636418	0.09356
7,649	train	H1	H21	75	75	10	5.333333	9.333333	0.888534	-0.88409	-0.680334	-0.680048	0.616362	2.788166	0.857589	0.888534	0.88409	0.37659	0.462466	0.556781	0.781351	0.065114	0.052283	0.884197
7,649	train	H0	H21	100	100	10	14	9	-1.527055	1.517146	1.671326	1.674738	2.824427	2.951613	2.807072	1.674738	1.671326	0.123358	2.804748	2.725151	2.30431	2.004579	2.062987	-1.540831
7,649	train	H1	H21	100	100	10	15	6	-0.39176	0.414794	-0.083856	-0.084159	0.977788	1.269995	1.224967	-0.39176	0.414794	0.542003	0.007083	0.035838	0.172903	0.383407	0.388516	-0.424456
7,649	train	H0	H21	150	150	10	11.333333	9.333333	0.861572	-0.89866	-0.353359	-0.353336	0.938532	6.012904	1.608744	0.861572	0.89866	0.110984	0.124846	0.377682	0.807873	0.099607	0.123	0.906898
7,649	train	H1	H21	150	150	10	8	10.666667	1.124116	-1.133229	-0.68894	-0.688356	2.320206	3.697519	1.763191	-0.688356	1.133229	0.253411	0.473834	1.138758	1.283751	0.000978	0.0061	1.142103
7,649	train	H0	H21	200	200	10	11	10.5	-1.572872	1.554674	1.706117	1.714035	3.009406	4.380352	2.944977	-1.572872	1.706117	0.116463	2.937918	2.929359	2.418688	2.039198	2.261304	-1.569793
7,649	train	H1	H21	200	200	10	11.5	8	-0.095957	0.129237	-0.391337	-0.391229	1.047845	1.202672	1.134094	-0.095957	0.391337	0.567198	0.15306	0.005671	0.016688	0.680158	0.677437	-0.129846
7,649	train	H0	H21	300	300	10	11	8	-0.649441	0.626515	0.987957	0.987395	1.195513	1.633914	1.254354	0.987395	0.987957	0.528229	0.974949	0.635177	0.392318	1.298004	1.340984	-0.630712
7,649	train	H1	H21	300	300	10	11	8.666667	-0.375593	0.388027	0.174499	0.174128	0.084118	3.351748	0.270712	-0.375593	0.388027	0.340505	0.030321	0.054087	0.150488	0.007389	0.019874	-0.391394
7,649	train	H0	H21	500	500	10	10	11.6	1.135014	-1.150629	-0.705915	-0.705284	1.673433	1.616051	1.774541	1.135014	1.150629	0.246313	0.497425	0.966873	1.323991	0.000921	0.006042	1.159352
7,649	train	H1	H21	500	500	10	10.4	7.8	-0.714282	0.704032	0.941428	0.93984	1.034246	1.763139	0.953108	0.93984	0.941428	0.477853	0.883299	0.609223	0.4956	0.914346	0.856691	-0.70976
7,649	train	H0	H21	1,000	1,000	10	10	9.7	0.401294	-0.423302	0.07402	0.074015	1.354343	1.559947	1.090785	0.401294	0.423302	0.579614	0.005478	0.083365	0.179176	0.350213	0.373817	0.425897
7,649	train	H1	H21	1,000	1,000	10	9.2	10	1.923435	-1.90509	-1.924204	-1.925754	4.28404	5.86972	3.917807	-1.925754	1.924204	0.054994	3.708527	4.287582	3.631116	2.063711	2.075709	1.918928
7,649	train	H0	H21	20	20	20	25	20	-0.23061	0.144061	0.686351	0.700758	2.568188	4.62952	2.292273	0.700758	0.686351	0.201024	0.491062	0.119123	0.020657	1.572186	1.438342	-0.146543
7,649	train	H1	H21	20	20	20	15	30	0.586924	-0.589185	-0.75103	-0.735567	0.554025	3.319618	0.616116	-0.735567	0.75103	0.344921	0.541059	0.548283	0.34507	0.442866	0.65282	0.61418
7,649	train	H0	H21	30	30	20	10	16.666667	0.26756	-0.264647	-0.538275	-0.532705	0.535518	1.329837	0.599091	-0.532705	0.538275	0.72206	0.283775	0.164246	0.069634	0.451924	0.59003	0.277697
7,649	train	H1	H21	30	30	20	23.333333	20	-0.276659	0.365987	-0.26218	-0.258719	1.854051	2.226916	1.667037	-0.276659	0.365987	0.434518	0.066935	0.022513	0.13311	0.676309	0.538579	-0.355593
7,649	train	H0	H21	50	50	20	6	20	1.666547	-1.629272	-2.090019	-2.106948	4.938767	5.077814	4.86615	-2.106948	2.090019	0.087767	4.439229	3.395885	2.662934	4.341128	4.318198	1.660106
7,649	train	H1	H21	50	50	20	26	12	-1.018796	1.036123	0.765575	0.761914	1.046014	2.215029	1.222858	-1.018796	1.036123	0.284701	0.580513	0.818212	1.078745	0.070433	0.062017	-1.069818
7,649	train	H0	H21	75	75	20	26.666667	28	-0.087049	0.094869	-0.095095	-0.094729	0.211242	0.64669	0.274075	-0.087049	0.095095	0.871938	0.008974	0.00029	0.008983	0.087483	0.091109	-0.09003
7,649	train	H1	H21	75	75	20	18.666667	22.666667	1.110061	-1.166444	-0.695968	-0.693079	2.117502	2.539174	1.906791	-0.693079	1.166444	0.238833	0.480359	1.094657	1.360479	0.000999	0.000398	1.17791
7,649	train	H0	H21	100	100	20	27	16	0.033968	-0.157023	0.81737	0.815128	4.304611	5.835152	4.686087	0.815128	0.81737	0.096035	0.664434	0.074569	0.024647	2.968924	3.078117	0.153508
7,649	train	H1	H21	100	100	20	23	14	-0.114129	0.114573	0.198255	0.197481	0.08544	0.20977	0.064343	0.197481	0.198255	0.905764	0.038999	0.016789	0.013105	0.087269	0.079082	-0.118383
7,649	train	H0	H21	150	150	20	17.333333	21.333333	1.673513	-1.71451	-1.26825	-1.266311	2.69889	7.811487	3.240695	1.673513	1.71451	0.050073	1.603544	2.232866	2.945247	0.190451	0.162696	1.745081
7,649	train	H1	H21	150	150	20	16.666667	20	1.217891	-1.144873	-1.68429	-1.689152	3.315266	3.494015	3.48861	-1.689152	1.68429	0.174766	2.853233	2.067204	1.312222	3.328443	3.332469	1.165144
7,649	train	H0	H21	200	200	20	19	20.5	0.760572	-0.752798	-0.690555	-0.688399	0.597924	0.786409	0.577854	0.760572	0.752798	0.445321	0.473894	0.558818	0.565819	0.155995	0.200424	0.763239
7,649	train	H1	H21	200	200	20	18.5	22	1.202535	-1.137585	-1.491754	-1.492578	2.344088	2.644427	2.40249	-1.492578	1.491754	0.245038	2.227789	1.781104	1.294524	2.138928	2.143252	1.162487
7,649	train	H0	H21	300	300	20	24.666667	20.666667	-1.102422	1.079794	1.083685	1.082479	1.240719	1.235151	1.244377	1.082479	1.083685	0.269407	1.17176	1.223282	1.165758	0.644305	0.66441	-1.10443
7,649	train	H1	H21	300	300	20	20.666667	17	0.735163	-0.660005	-1.306619	-1.317368	3.072994	3.025256	3.194196	-1.317368	1.306619	0.202483	1.735458	0.905218	0.435736	2.994712	2.967809	0.664832
7,649	train	H0	H21	500	500	20	18.8	20.4	0.614045	-0.577269	-0.691648	-0.691333	0.480259	1.641786	0.480016	-0.691333	0.691648	0.557383	0.477942	0.440965	0.333122	0.363579	0.389598	0.586733
7,649	train	H1	H21	500	500	20	19	20.4	-0.267648	0.321118	-0.188789	-0.188645	1.163556	1.086621	1.251086	-0.267648	0.321118	0.534971	0.035587	0.012088	0.103124	0.531515	0.490145	-0.324981
7,649	train	H0	H21	1,000	1,000	20	21.5	19.3	0.144328	-0.171161	0.108392	0.108325	0.589678	1.780971	0.370381	0.144328	0.171161	0.619084	0.011734	0.017127	0.02928	0.17452	0.155639	0.173741
7,649	train	H1	H21	1,000	1,000	20	19.3	18.6	0.723778	-0.704878	-0.782548	-0.782661	0.656458	1.772089	0.613156	0.723778	0.782548	0.474307	0.612558	0.685459	0.49688	0.427412	0.449374	0.715489
7,649	train	H0	H21	20	20	30	20	40	1.174114	-1.118726	-1.336025	-1.329788	1.790415	3.501934	1.82483	-1.329788	1.336025	0.23916	1.768337	1.617656	1.24738	1.397973	1.601421	1.177088
7,649	train	H1	H21	20	20	30	40	40	0.762105	-0.822473	-0.47863	-0.475795	1.666196	2.365407	1.731565	-0.475795	0.822473	0.397774	0.226381	0.437347	0.673719	0.091746	0.089641	0.845603
7,649	train	H0	H21	30	30	30	23.333333	33.333333	1.48852	-1.301213	-1.903164	-2.001959	5.836636	5.83155	5.834764	-2.001959	1.903164	0.054075	4.00784	2.625943	1.694049	5.255653	5.193573	1.345512
7,649	train	H1	H21	30	30	30	26.666667	33.333333	-1.107891	1.05925	1.120056	1.157135	1.351143	1.706662	1.343837	-1.107891	1.120056	0.271234	1.338962	1.303814	1.133371	1.004688	1.10131	-1.100226
7,649	train	H0	H21	50	50	30	26	18	-0.571904	0.479685	1.100342	1.095719	2.356271	2.428534	2.584925	1.095719	1.100342	0.274594	1.2006	0.607556	0.229465	2.534996	2.567714	-0.495938
7,649	train	H1	H21	50	50	30	26	32	0.119364	-0.0883	-0.170099	-0.168673	0.035561	0.096945	0.041029	-0.168673	0.170099	0.926668	0.028451	0.019243	0.00777	0.01567	0.014577	0.092038
7,649	train	H0	H21	75	75	30	29.333333	32	-0.501837	0.466683	0.620827	0.619989	0.467018	1.114293	0.432162	-0.501837	0.620827	0.628594	0.384387	0.265288	0.217915	0.488657	0.498767	-0.483707
7,649	train	H1	H21	75	75	30	33.333333	34.666667	0.369569	-0.276156	-0.684819	-0.683235	1.273004	1.586202	1.211657	-0.683235	0.684819	0.545622	0.46681	0.186898	0.074989	0.983508	0.930048	0.284797
7,649	train	H0	H21	100	100	30	24	34	1.164417	-1.021808	-1.553662	-1.558601	2.916045	5.25295	3.14266	-1.558601	1.553662	0.154185	2.429239	1.793206	1.045717	2.980217	3.070923	1.056543
7,649	train	H1	H21	100	100	30	28	36	0.013307	0.297566	-1.149021	-1.156028	11.967358	11.814618	12.191735	-1.156028	1.149021	0.002252	1.3364	0.087232	0.089364	7.795679	7.538789	-0.295327
7,649	train	H0	H21	150	150	30	34.666667	27.333333	1.008367	-1.223709	-0.056661	-0.056578	7.459333	7.704905	7.145716	1.008367	1.223709	0.028075	0.003201	0.711565	1.499568	1.657174	1.560381	1.260014
7,649	train	H1	H21	150	150	30	36	30	-1.698673	1.784615	1.309709	1.308299	3.698189	3.814962	3.606019	-1.698673	1.784615	0.066921	1.711647	2.760894	3.188264	0.114641	0.135801	-1.832207
7,649	train	H0	H21	200	200	30	33.5	32	-0.236769	0.061052	0.847678	0.850239	3.822478	4.686736	3.563237	0.850239	0.847678	0.168365	0.722907	0.117335	0.003785	2.66691	2.588152	-0.061198
7,649	train	H1	H21	200	200	30	28.5	25.5	-0.061069	0.159078	-0.433479	-0.433443	2.278011	4.315367	1.77019	-0.433443	0.433479	0.229362	0.187873	0.000449	0.025291	1.066991	0.928909	-0.159323
7,649	train	H0	H21	300	300	30	31.333333	33.666667	0.400914	-0.436835	-0.241419	-0.241233	0.403094	0.940934	0.323012	0.400914	0.436835	0.65365	0.058193	0.168575	0.190753	0.008543	0.003799	0.448697
7,649	train	H1	H21	300	300	30	26	33	2.487669	-2.412097	-2.583783	-2.597691	6.754376	7.142425	6.773271	-2.597691	2.583783	0.013569	6.747999	6.267612	5.822943	4.445253	4.485003	2.468473
7,649	train	H0	H21	500	500	30	28.8	30.6	0.777468	-0.828392	-0.593463	-0.593009	0.504442	5.027706	0.739649	0.777468	0.828392	0.16978	0.35166	0.421644	0.686175	0.024818	0.019461	0.850536
7,649	train	H1	H21	500	500	30	28.2	30.8	1.17962	-1.140838	-1.182024	-1.182377	1.46204	1.580515	1.443264	1.17962	1.182024	0.241535	1.398015	1.443589	1.301241	0.762755	0.762418	1.171158
7,649	train	H0	H21	1,000	1,000	30	31.7	28.7	-1.734198	1.686472	1.775162	1.775492	3.188296	3.227118	3.196135	1.775492	1.775162	0.083357	3.152371	3.06627	2.844464	1.975412	1.958673	-1.731531
7,649	train	H1	H21	1,000	1,000	30	29.5	30.6	0.833181	-0.666172	-1.425143	-1.427565	3.727863	4.900368	4.003235	-1.427565	1.425143	0.135117	2.037942	1.022599	0.443801	3.796681	3.786082	0.682182

Subsets and Splits