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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	H24	20	20	10	10	0	-1.125274	1.123686	1.281866	1.28267	1.650269	1.699725	1.645964	-1.125274	1.281866	0.250882	1.645243	1.598698	1.276686	1.0131	1.089367	-1.14821
7,649	train	H1	H24	20	20	10	10	10	-0.364095	0.367773	0.320813	0.31538	0.129389	0.140765	0.132879	-0.364095	0.367773	0.709534	0.099464	0.118184	0.134205	0.066511	0.065318	-0.372482
7,649	train	H0	H24	30	30	10	10	6.666667	0.49559	-0.523776	-0.44882	-0.443617	0.196961	2.725255	0.244655	0.49559	0.523776	0.435953	0.196796	0.191994	0.272818	0.04039	0.012421	0.534465
7,649	train	H1	H24	30	30	10	20	10	-0.743107	0.784305	0.44173	0.436573	0.887972	0.844372	0.898096	-0.743107	0.784305	0.424375	0.190596	0.421857	0.61218	0.000361	0.000057	-0.798854
7,649	train	H0	H24	50	50	10	18	2	0.852305	-0.899321	0.351679	0.348577	7.884349	8.055313	7.462634	0.852305	0.899321	0.023961	0.121506	0.20843	0.809775	2.4783	2.149398	0.890084
7,649	train	H1	H24	50	50	10	10	20	-0.50703	0.560937	-0.135567	-0.134245	2.292947	2.264079	2.177396	-0.50703	0.560937	0.336655	0.018022	0.105688	0.314254	0.772929	0.652247	-0.564735
7,649	train	H0	H24	75	75	10	9.333333	6.666667	0.986625	-1.020581	-0.147506	-0.146872	3.83625	3.773246	3.729809	0.986625	1.020581	0.154911	0.021571	0.512415	1.042076	0.709927	0.596646	1.016193
7,649	train	H1	H24	75	75	10	12	9.333333	-1.034903	0.986054	1.677681	1.710882	4.910415	5.776961	4.520499	1.710882	1.677681	0.104324	2.927116	1.562764	0.971619	4.695658	4.540688	-0.996353
7,649	train	H0	H24	100	100	10	4	10	-0.751081	0.774286	0.051944	0.05203	3.909997	12.508934	2.4207	0.05203	0.774286	0.005828	0.002707	0.398457	0.59912	0.613908	0.455328	-0.774331
7,649	train	H1	H24	100	100	10	7	10	1.705906	-1.681003	-1.531701	-1.536577	3.616866	8.817973	2.916371	-1.536577	1.681003	0.031812	2.36107	3.206879	2.831672	0.986481	1.236487	1.690789
7,649	train	H0	H24	150	150	10	10.666667	10.666667	1.299489	-1.305282	-1.034294	-1.033243	1.760172	1.847441	1.775365	1.299489	1.305282	0.187186	1.06759	1.527733	1.705955	0.199139	0.200598	1.318949
7,649	train	H1	H24	150	150	10	9.333333	10	0.807507	-0.788128	-0.87701	-0.874663	0.991478	4.903512	0.769256	-0.874663	0.87701	0.179	0.765035	0.973332	0.621451	0.510357	0.64679	0.796283
7,649	train	H0	H24	200	200	10	14.5	8	-1.542344	1.491928	2.027203	2.035274	4.422978	5.659752	4.580459	2.035274	2.027203	0.101243	4.14234	3.166972	2.226905	4.419644	4.547864	-1.508153
7,649	train	H1	H24	200	200	10	9.5	10.5	0.461892	-0.457889	-0.386845	-0.386581	0.453772	2.375102	0.216574	-0.386581	0.457889	0.498286	0.149445	0.300194	0.209611	0.038175	0.043067	0.462029
7,649	train	H0	H24	300	300	10	5.666667	12	1.382861	-1.367383	-1.443109	-1.440554	2.083492	2.175426	2.124297	1.382861	1.443109	0.168259	2.075196	1.914123	1.869228	1.241902	1.28761	1.377819
7,649	train	H1	H24	300	300	10	11	10	-0.27014	0.277359	0.21894	0.219733	0.190385	8.700859	0.075773	0.219733	0.277359	0.033544	0.048282	0.004608	0.07698	0.005785	0.002112	-0.277965
7,649	train	H0	H24	500	500	10	11.2	10.6	-1.836656	1.867975	1.126588	1.126965	5.055423	5.171188	4.774131	-1.836656	1.867975	0.060002	1.270051	2.76144	3.492113	0.000527	0.000076	-1.880782
7,649	train	H1	H24	500	500	10	10.8	11.2	-0.41067	0.423412	0.292835	0.292962	0.126848	8.898651	0.196925	0.292962	0.423412	0.030669	0.085827	0.039831	0.179284	0.006068	0.001002	-0.427878
7,649	train	H0	H24	1,000	1,000	10	11.1	7.7	1.789327	-1.806938	-1.306167	-1.308217	2.961814	3.569076	3.603516	1.789327	1.806938	0.068522	1.711433	2.489203	3.266943	0.187469	0.193504	1.821559
7,649	train	H1	H24	1,000	1,000	10	10.2	8.5	-1.626822	1.65133	1.072965	1.072944	1.641116	14.059046	3.330812	-1.626822	1.65133	0.002826	1.151208	1.481355	2.728778	0.021804	0.012686	-1.662933
7,649	train	H0	H24	20	20	20	15	10	-0.092859	0.068897	0.439421	0.428534	0.733107	0.840377	0.666753	-0.092859	0.439421	0.7165	0.183641	0.037583	0.00471	0.638558	0.57399	-0.092218
7,649	train	H1	H24	20	20	20	15	20	1.117519	-1.104132	-1.018616	-1.012186	1.253245	1.251081	1.24961	-1.012186	1.104132	0.261295	1.024521	1.172404	1.218815	0.261053	0.296991	1.123335
7,649	train	H0	H24	30	30	20	20	13.333333	-0.463762	0.410905	0.985804	0.987055	2.561907	3.30554	2.343992	0.987055	0.985804	0.309748	0.974278	0.389241	0.168022	2.263818	2.116895	-0.429104
7,649	train	H1	H24	30	30	20	16.666667	13.333333	1.448366	-1.399756	-1.222695	-1.244477	2.253216	2.564867	2.17729	1.448366	1.399756	0.156608	1.548724	1.895066	1.977455	0.417166	0.488976	1.416572
7,649	train	H0	H24	50	50	20	10	16	-0.082199	0.126531	-0.515533	-0.512796	1.927254	1.937144	1.845349	-0.512796	0.515533	0.397455	0.26296	0.013925	0.015957	1.049108	0.982954	-0.132792
7,649	train	H1	H24	50	50	20	20	12	-0.756397	0.812801	0.604396	0.599084	0.403424	5.462849	0.615536	-0.756397	0.812801	0.140878	0.358902	0.400371	0.660021	0.073708	0.029605	-0.838332
7,649	train	H0	H24	75	75	20	22.666667	25.333333	0.787576	-0.856174	-0.396649	-0.397063	1.372416	1.456474	1.408733	0.787576	0.856174	0.385926	0.157659	0.493415	0.732964	0.083871	0.074108	0.86703
7,649	train	H1	H24	75	75	20	22.666667	22.666667	-0.437639	0.381594	0.837373	0.841648	1.654765	2.090432	1.53819	-0.437639	0.837373	0.463432	0.708371	0.307689	0.145489	1.504216	1.441238	-0.373182
7,649	train	H0	H24	100	100	20	16	24	0.25314	-0.229932	-0.264296	-0.263144	0.071191	0.198797	0.069995	0.25314	0.264296	0.814282	0.069245	0.04486	0.052781	0.02655	0.024648	0.234906
7,649	train	H1	H24	100	100	20	21	20	0.143375	-0.151938	-0.074827	-0.074569	0.083409	0.694768	0.04066	0.143375	0.151938	0.874434	0.005561	0.030999	0.023053	0.006247	0.000694	0.151601
7,649	train	H0	H24	150	150	20	20.666667	28	0.825766	-0.85979	-0.600132	-0.600175	1.070614	1.958263	0.884365	-0.600175	0.85979	0.380314	0.36021	0.6789	0.738523	0.020483	0.024368	0.877319
7,649	train	H1	H24	150	150	20	22.666667	19.333333	-1.374266	1.365202	1.424418	1.428018	2.058869	8.766076	2.063091	1.428018	1.424418	0.032568	2.039235	1.702908	1.864972	1.355337	1.254976	-1.385625
7,649	train	H0	H24	200	200	20	19	19.5	0.52706	-0.53632	-0.374247	-0.373498	0.422468	0.653368	0.347145	0.52706	0.53632	0.584956	0.139501	0.273766	0.287397	0.003972	0.006234	0.54616
7,649	train	H1	H24	200	200	20	20.5	19.5	1.607374	-1.621265	-1.112061	-1.120367	4.722503	16.285079	3.418426	-1.120367	1.621265	0.000991	1.255222	2.596061	2.634442	0.081284	0.105826	1.657719
7,649	train	H0	H24	300	300	20	22.666667	22.666667	1.039134	-1.113327	-0.630844	-0.630855	1.187559	7.549042	1.766236	1.039134	1.113327	0.056312	0.397977	0.696163	1.240341	0.003245	0.010376	1.139156
7,649	train	H1	H24	300	300	20	19	17.666667	-0.934242	0.971263	0.623286	0.622276	0.646135	7.241878	1.185367	0.622276	0.971263	0.064575	0.387228	0.507919	0.943446	0.006137	0.000224	-0.985257
7,649	train	H0	H24	500	500	20	19.8	17.8	0.330877	-0.347949	-0.146852	-0.146794	0.344065	0.560075	0.255783	0.330877	0.347949	0.724899	0.021548	0.097543	0.121042	0.019121	0.021907	0.351919
7,649	train	H1	H24	500	500	20	17.4	20.4	0.475708	-0.420645	-0.880211	-0.879294	0.96051	4.777751	1.408119	-0.879294	0.880211	0.188814	0.773157	0.567024	0.177008	1.356416	1.381838	0.427245
7,649	train	H0	H24	1,000	1,000	20	19.2	20.5	-0.952794	1.009642	0.451558	0.451368	2.004563	2.042827	1.952742	0.451368	1.009642	0.304131	0.203733	0.694564	1.019345	0.091392	0.092744	-1.027615
7,649	train	H1	H24	1,000	1,000	20	19.5	19.3	-0.505496	0.602339	-0.220767	-0.220669	1.377504	9.056644	3.041862	-0.220669	0.602339	0.028547	0.048695	0.004155	0.363028	1.225282	1.242049	-0.610781
7,649	train	H0	H24	20	20	30	40	55	0.982391	-0.988107	-0.956036	-0.947244	0.987807	2.32087	0.960336	0.982391	0.988107	0.29047	0.897272	1.070096	0.980125	0.294578	0.352796	1.057092
7,649	train	H1	H24	20	20	30	50	20	-0.450822	0.107881	1.144812	1.128159	5.108819	5.166122	5.04561	-0.450822	1.144812	0.080234	1.272743	0.256569	0.011609	4.001772	3.675662	-0.149545
7,649	train	H0	H24	30	30	30	30	26.666667	0.059556	0.064065	-0.562932	-0.570316	2.79373	3.41167	2.630185	-0.570316	0.562932	0.26845	0.32526	0.033139	0.004093	1.604872	1.428014	-0.045448
7,649	train	H1	H24	30	30	30	33.333333	20	-2.067597	1.982183	2.064678	2.093019	4.509945	4.526472	4.496488	-2.067597	2.064678	0.042555	4.380728	4.377075	3.965662	2.428451	2.645964	-2.028049
7,649	train	H0	H24	50	50	30	30	42	0.480188	-0.57197	-0.168737	-0.168638	1.054556	1.296412	1.110375	-0.168638	0.57197	0.550685	0.028439	0.15712	0.326276	0.205575	0.21612	0.596734
7,649	train	H1	H24	50	50	30	24	34	0.705181	-0.640882	-1.094933	-1.0967	2.031767	5.139907	2.286854	-1.0967	1.094933	0.161835	1.202751	0.838383	0.410516	1.993526	2.245436	0.652618
7,649	train	H0	H24	75	75	30	28	28	-1.309542	1.158593	1.81241	1.863706	5.627052	7.672551	5.285761	1.863706	1.81241	0.053287	3.473398	2.010938	1.3495	5.520403	5.324598	-1.209182
7,649	train	H1	H24	75	75	30	29.333333	33.333333	-0.000447	-0.085113	0.324317	0.326532	0.984074	1.020077	0.983581	-0.000447	0.324317	0.611531	0.106623	0.007745	0.007239	0.678853	0.687871	0.10332
7,649	train	H0	H24	100	100	30	34	28	-0.447895	0.431824	0.403249	0.403941	0.203308	0.211897	0.202842	-0.447895	0.431824	0.655202	0.163169	0.180627	0.186291	0.072785	0.075765	-0.446547
7,649	train	H1	H24	100	100	30	25	28	1.513646	-1.377829	-1.933355	-1.959617	4.377426	6.273779	4.593296	-1.959617	1.933355	0.099024	3.8401	2.900747	1.90771	4.301695	4.353101	1.415466
7,649	train	H0	H24	150	150	30	32	30	-0.50108	0.382715	0.860228	0.862277	1.588479	1.629726	1.543613	0.862277	0.860228	0.462177	0.743522	0.306086	0.146359	1.556077	1.514902	-0.395237
7,649	train	H1	H24	150	150	30	24.666667	29.333333	1.753467	-1.635394	-2.049123	-2.073429	4.31653	10.969714	4.521314	-2.073429	2.049123	0.011891	4.299109	4.018571	2.684263	4.132532	4.387198	1.667103
7,649	train	H0	H24	200	200	30	27	28.5	-0.536367	0.52612	0.521279	0.520445	0.325897	0.742819	0.29078	0.520445	0.52612	0.5907	0.270863	0.34143	0.276723	0.149718	0.160694	-0.537821
7,649	train	H1	H24	200	200	30	26	32	0.94084	-0.717611	-1.695672	-1.699176	5.39012	6.291384	5.755006	-1.699176	1.695672	0.056275	2.887199	1.370496	0.515166	5.321243	5.330897	0.75219
7,649	train	H0	H24	300	300	30	29.666667	28.333333	-0.662064	0.702274	0.462795	0.462334	0.642815	0.809963	0.610169	-0.662064	0.702274	0.470346	0.213753	0.427749	0.492953	0.004997	0.001783	-0.721917
7,649	train	H1	H24	300	300	30	30.666667	32.666667	1.246635	-1.172601	-1.340547	-1.342801	1.832733	4.581805	1.803764	1.246635	1.340547	0.205109	1.803116	1.891835	1.376604	1.325947	1.344276	1.207625
7,649	train	H0	H24	500	500	30	27	28	-0.145382	0.184875	-0.084857	-0.084773	0.587148	1.577727	0.361089	-0.084773	0.184875	0.664451	0.007186	0.030394	0.034214	0.151072	0.136134	-0.189786
7,649	train	H1	H24	500	500	30	32.4	32.4	-0.118364	0.27186	-0.257886	-0.257827	0.415802	11.574338	1.092807	-0.118364	0.27186	0.008993	0.066475	0.018734	0.073956	0.596896	0.653894	-0.279789
7,649	train	H0	H24	1,000	1,000	30	28.8	30.2	1.811943	-1.677179	-2.175431	-2.180146	5.115703	5.088537	5.131262	1.811943	2.175431	0.076871	4.753035	3.675707	2.814388	4.676535	4.642716	1.718229
7,649	train	H1	H24	1,000	1,000	30	31.6	29	-1.328654	1.373845	1.156937	1.156337	1.416718	9.532543	1.818165	-1.328654	1.373845	0.022988	1.337115	1.273931	1.887848	0.357238	0.324194	-1.409378
7,649	train	H0	H24	20	20	40	45	40	-0.350198	0.062025	0.812404	0.827907	4.581129	5.0452	4.471768	0.827907	0.812404	0.106898	0.68543	0.137259	0.003835	3.324391	3.066007	-0.111626
7,649	train	H1	H24	20	20	40	50	30	-1.163938	1.41839	0.779117	0.771334	2.702308	2.905737	2.778477	0.771334	1.41839	0.139228	0.594957	1.397416	2.012474	0.165052	0.093966	-1.478673
7,649	train	H0	H24	30	30	40	40	33.333333	0.637166	-0.608581	-0.552857	-0.556282	0.487277	1.413422	0.442985	-0.556282	0.608581	0.531196	0.30945	0.388713	0.369864	0.025775	0.041032	0.626181
7,649	train	H1	H24	30	30	40	46.666667	56.666667	0.920071	-0.731934	-1.047061	-1.045622	1.194665	4.193677	1.242882	0.920071	1.047061	0.241296	1.093326	0.890847	0.535052	0.875555	1.019005	0.803309
7,649	train	H0	H24	50	50	40	36	50	0.368353	-0.3558	-0.483221	-0.480908	0.331348	0.328514	0.33759	-0.480908	0.483221	0.70769	0.231272	0.18418	0.126415	0.264367	0.253787	0.37496
7,649	train	H1	H24	50	50	40	30	38	1.9832	-2.02116	-1.695464	-1.70445	4.256597	4.342663	4.22996	1.9832	2.02116	0.032869	2.905151	3.862258	4.103572	0.708264	0.76637	2.133686
7,649	train	H0	H24	75	75	40	33.333333	40	1.587384	-1.593386	-1.538429	-1.548212	2.582833	2.889218	2.540908	-1.548212	1.593386	0.101166	2.396959	2.673737	2.540951	1.115708	1.117215	1.639226
7,649	train	H1	H24	75	75	40	34.666667	33.333333	-1.582512	1.772469	0.842062	0.847334	7.448163	8.35269	7.108898	-1.582512	1.772469	0.028597	0.717975	2.157612	3.15672	0.609305	0.508336	-1.810439
7,649	train	H0	H24	100	100	40	40	35	0.22204	-0.329578	0.128081	0.127628	1.306794	1.349201	1.31571	0.127628	0.329578	0.517961	0.016289	0.021883	0.108515	0.545206	0.568526	0.3364
7,649	train	H1	H24	100	100	40	40	32	-2.651614	2.800557	2.090234	2.099784	8.119042	12.013726	8.779823	-2.651614	2.800557	0.003857	4.409091	6.306553	7.903269	0.257587	0.273568	-2.889662
7,649	train	H0	H24	150	150	40	48	42.666667	0.162863	-0.50001	0.385775	0.384648	2.879614	7.722907	3.423318	0.384648	0.50001	0.052099	0.147954	0.003771	0.249091	1.774131	1.918759	0.522428
7,649	train	H1	H24	150	150	40	50.666667	43.333333	-0.051829	0.075346	0.119205	0.119339	0.15612	6.022889	0.066899	0.119339	0.119205	0.110502	0.014242	0.000077	0.005677	0.063459	0.042073	-0.07944
7,649	train	H0	H24	200	200	40	44	44	0.73075	-0.739453	-0.705674	-0.708862	0.55061	1.003571	0.53431	-0.708862	0.739453	0.442415	0.502485	0.590075	0.546607	0.198305	0.20809	0.768121
7,649	train	H1	H24	200	200	40	38	43	0.648986	-0.357021	-1.269894	-1.272832	4.695254	4.869826	4.883317	-1.272832	1.269894	0.087016	1.620101	0.576584	0.12745	4.023298	3.963328	0.375003
7,649	train	H0	H24	300	300	40	37.333333	41.333333	0.375648	-0.175665	-0.710984	-0.709516	1.263063	2.290969	1.37773	-0.709516	0.710984	0.502146	0.503413	0.150454	0.030841	1.179214	1.265018	0.183407
7,649	train	H1	H24	300	300	40	43.333333	39.333333	-1.066187	1.350882	0.52902	0.528509	2.702812	10.22297	3.521062	-1.066187	1.350882	0.016763	0.279322	0.82634	1.824884	0.327897	0.360526	-1.40749
7,649	train	H0	H24	500	500	40	39.8	41.8	0.730845	-0.430832	-1.28787	-1.288177	3.748022	4.404636	4.042929	-1.288177	1.28787	0.132461	1.659399	0.704468	0.185461	3.588447	3.544929	0.452738
7,649	train	H1	H24	500	500	40	37.8	41.2	1.390901	-1.303449	-1.435721	-1.435495	2.144813	4.943508	2.07107	1.390901	1.435721	0.175252	2.060645	2.286975	1.69964	1.33919	1.340011	1.35552
7,649	train	H0	H24	1,000	1,000	40	41.7	38.7	-1.059048	0.986642	1.263746	1.263666	1.869155	3.309817	1.785352	-1.059048	1.263746	0.303901	1.596852	1.176834	0.973344	1.712682	1.672684	-1.028105
7,649	train	H1	H24	1,000	1,000	40	41.6	40.9	-0.7183	0.932641	0.242112	0.242069	1.673312	11.189969	2.481138	-0.7183	0.932641	0.010742	0.058598	0.25576	0.870562	0.436022	0.440053	-0.97093
7,649	train	H0	H24	20	20	50	50	45	0.23573	-0.628089	0.27349	0.276543	4.568787	5.904208	4.74373	0.23573	0.628089	0.093307	0.076476	0.058175	0.396467	1.878393	1.818828	0.626295
7,649	train	H1	H24	20	20	50	65	45	-0.953102	0.805935	0.974862	0.970774	0.947935	4.492917	0.94254	-0.953102	0.974862	0.212923	0.942402	0.913732	0.646052	1.339344	1.605717	-0.840596
7,649	train	H0	H24	30	30	50	46.666667	53.333333	1.875511	-2.011708	-1.608037	-1.639063	3.902799	3.938359	3.943055	-1.639063	2.011708	0.025703	2.686526	3.581463	4.076346	0.422275	0.491206	2.230675
7,649	train	H1	H24	30	30	50	50	53.333333	-1.204269	1.510434	0.757242	0.767181	5.656888	5.755164	5.602565	0.767181	1.510434	0.060732	0.588567	1.537681	2.32368	0.623938	0.561783	-1.548218
7,649	train	H0	H24	50	50	50	46	54	1.002811	-1.096706	-0.825223	-0.829056	1.20358	5.075733	1.339093	1.002811	1.096706	0.166335	0.687333	0.901554	1.194995	0.029977	0.02177	1.155741
7,649	train	H1	H24	50	50	50	46	34	-0.726448	0.535972	1.091715	1.086029	2.606229	5.336016	2.345712	-0.726448	1.091715	0.148782	1.179459	0.468402	0.286617	2.324417	2.089484	-0.557769
7,649	train	H0	H24	75	75	50	54.666667	46.666667	-0.108547	0.047845	0.276859	0.277138	0.599359	3.89222	0.454619	0.277138	0.276859	0.27334	0.076805	0.003652	0.002519	0.402195	0.324654	-0.055964
7,649	train	H1	H24	75	75	50	45.333333	54.666667	1.08042	-0.853097	-1.40027	-1.397268	3.000627	2.967556	2.991672	-1.397268	1.40027	0.224061	1.952356	1.173309	0.728136	2.740867	2.61548	0.912277
7,649	train	H0	H24	100	100	50	56	49	-1.13083	1.324854	0.956869	0.953254	1.367634	4.53647	1.536402	0.953254	1.324854	0.16012	0.908693	1.291338	1.754194	0.149444	0.117852	-1.404669
7,649	train	H1	H24	100	100	50	48	50	0.680219	-0.454669	-1.071628	-1.077016	2.82296	4.902227	3.09265	-1.077016	1.071628	0.179098	1.159964	0.614148	0.207454	2.464301	2.581898	0.482523
7,649	train	H0	H24	150	150	50	50	48.666667	0.433024	-0.504031	-0.380337	-0.379525	0.183751	0.638387	0.205518	-0.379525	0.504031	0.595132	0.14404	0.180854	0.253952	0.016732	0.014595	0.531414
7,649	train	H1	H24	150	150	50	52	48	-1.809736	1.9721	1.51531	1.522572	4.024293	7.255781	4.213307	-1.809736	1.9721	0.038372	2.318225	3.075183	3.896458	0.273055	0.261301	-2.070855
7,649	train	H0	H24	200	200	50	45.5	46.5	-0.385015	0.38053	0.405348	0.404995	0.165505	0.25797	0.164219	-0.385015	0.405348	0.689898	0.164021	0.145687	0.144758	0.160073	0.165588	-0.398993
7,649	train	H1	H24	200	200	50	48.5	54.5	1.918555	-1.601755	-2.183301	-2.19954	5.322275	7.819127	5.460751	1.918555	2.183301	0.049902	4.837978	3.849538	2.571311	4.97347	5.024582	1.679004
7,649	train	H0	H24	300	300	50	52.666667	48	-1.482662	1.534186	1.357801	1.356876	2.218382	2.249595	2.264681	-1.482662	1.534186	0.106061	1.841111	2.130911	2.355312	0.540943	0.610351	-1.616153
7,649	train	H1	H24	300	300	50	56	49.666667	-1.679178	1.944482	1.277276	1.274024	4.34082	4.837158	4.584977	1.274024	1.944482	0.040556	1.623137	2.723983	3.780337	0.000728	0.009825	-2.048036
7,649	train	H0	H24	500	500	50	50.6	50.4	0.542491	-0.88323	-0.147002	-0.146941	1.701361	7.747218	2.155245	-0.146941	0.88323	0.051535	0.021592	0.257464	0.780421	0.485784	0.507116	0.933592
7,649	train	H1	H24	500	500	50	51.8	50.8	0.429718	-0.020352	-0.888352	-0.892335	3.101198	22.487295	3.837069	-0.892335	0.888352	0.000052	0.796262	0.308286	0.000409	2.984128	3.132707	0.015571
7,649	train	H0	H24	1,000	1,000	50	49.1	50.1	0.613265	-0.550214	-0.684875	-0.684828	0.502966	0.532603	0.496838	-0.684828	0.684875	0.561399	0.46899	0.350708	0.302655	0.401445	0.424378	0.580765
7,649	train	H1	H24	1,000	1,000	50	49.4	48.3	-1.188136	1.528907	0.667544	0.667328	3.522298	11.548616	4.37349	0.667328	1.528907	0.009101	0.445327	1.091364	2.338971	0.32591	0.315063	-1.60176

Subsets and Splits