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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	H17	20	20	20	15	15	1.508708	-1.569705	-0.76292	-0.754436	4.846917	5.218062	4.531642	1.508708	1.569705	0.103745	0.569174	1.765174	2.48562	0.10476	0.02822	1.605644
7,649	train	H1	H17	20	20	20	30	10	-0.641928	0.670942	0.384003	0.37461	0.853396	1.570183	0.71306	0.37461	0.670942	0.490635	0.140333	0.364178	0.445943	0.000744	0.023259	-0.6893
7,649	train	H0	H17	30	30	20	30	16.666667	0.435339	-0.398628	-0.387883	-0.391608	0.259737	2.461816	0.191269	-0.391608	0.398628	0.482231	0.153357	0.211945	0.159114	0.018338	0.037879	0.401302
7,649	train	H1	H17	30	30	20	26.666667	16.666667	-1.433718	1.503263	0.921117	0.911839	3.51863	3.62086	3.406394	-1.433718	1.503263	0.126094	0.83145	1.767249	2.267775	0.012569	0.001557	-1.529689
7,649	train	H0	H17	50	50	20	24	18	0.068843	-0.065554	0.293444	0.289969	1.012334	1.520223	0.808739	0.068843	0.293444	0.667397	0.084082	0.000507	0.004284	0.567325	0.461433	0.054477
7,649	train	H1	H17	50	50	20	32	28	-0.566402	0.595175	0.373616	0.371405	0.324932	6.162167	0.5566	0.371405	0.595175	0.103982	0.137941	0.17861	0.354113	0.000743	0.001761	-0.604524
7,649	train	H0	H17	75	75	20	18.666667	25.333333	1.020907	-0.971968	-1.19326	-1.188251	1.412546	3.509181	1.443143	-1.188251	1.19326	0.319573	1.41194	1.347218	0.944959	1.125868	1.353211	0.988106
7,649	train	H1	H17	75	75	20	14.666667	20	-0.558551	0.612961	-0.035649	-0.035363	1.537014	3.983512	1.981769	-0.035363	0.612961	0.26325	0.001251	0.108116	0.37527	0.566292	0.697957	-0.617115
7,649	train	H0	H17	100	100	20	23	23	1.980786	-2.002432	-1.777989	-1.796315	3.84303	4.483287	3.961279	1.980786	2.002432	0.039982	3.226748	3.842067	4.032526	1.116763	1.088831	2.053937
7,649	train	H1	H17	100	100	20	23	15	-1.419973	1.506994	0.764211	0.762849	3.78316	3.895268	3.843165	-1.419973	1.506994	0.128605	0.581938	1.587319	2.275545	0.113574	0.089829	-1.519624
7,649	train	H0	H17	150	150	20	15.333333	20	1.275415	-1.259022	-1.25429	-1.256778	1.622808	2.039658	1.675122	-1.256778	1.259022	0.202252	1.579491	1.553902	1.584347	0.779274	0.764642	1.275163
7,649	train	H1	H17	150	150	20	24	19.333333	-0.29584	0.317825	0.122269	0.122059	0.108989	2.470717	0.243175	0.122059	0.317825	0.480606	0.014899	0.031324	0.100921	0.009551	0.013909	-0.322122
7,649	train	H0	H17	200	200	20	23.5	25.5	0.06481	-0.127872	0.30797	0.307951	1.045793	1.284829	0.932095	0.06481	0.30797	0.627478	0.094834	0.00021	0.016341	0.610402	0.59082	0.12935
7,649	train	H1	H17	200	200	20	17	16	-1.659625	1.739482	0.72405	0.722684	6.417971	6.383492	6.163874	-1.659625	1.739482	0.04587	0.522272	2.024746	3.029047	0.456178	0.393883	-1.758136
7,649	train	H0	H17	300	300	20	20.333333	19.666667	-1.427642	1.554734	0.429883	0.429675	6.175681	6.867722	6.57311	-1.427642	1.554734	0.037382	0.184621	1.319317	2.418578	1.006463	0.996145	-1.580346
7,649	train	H1	H17	300	300	20	18.333333	19.333333	0.610441	-0.409527	-1.823613	-1.836931	9.073512	9.407201	9.971176	-1.836931	1.823613	0.006836	3.374317	1.051492	0.1678	8.417452	8.349428	0.418317
7,649	train	H0	H17	500	500	20	19.4	20.2	-0.475669	0.517157	0.26444	0.264059	0.248942	1.414888	0.385079	0.264059	0.517157	0.598796	0.069727	0.163291	0.267434	0.002783	0.0074	-0.526133
7,649	train	H1	H17	500	500	20	22	21	-2.344724	2.547886	0.918237	0.918993	13.621098	13.654594	14.841046	-2.344724	2.547886	0.000599	0.844548	3.712014	6.499778	1.638406	1.573757	-2.592011
7,649	train	H0	H17	1,000	1,000	20	20.1	17.6	-1.177512	1.139157	1.428413	1.428111	2.221922	2.698157	2.115345	1.428111	1.428413	0.246462	2.039501	1.47874	1.297522	1.897602	1.872079	-1.158985
7,649	train	H1	H17	1,000	1,000	20	23.9	20.6	-2.788933	2.855981	2.06009	2.060748	9.59549	9.653741	9.417564	-2.788933	2.855981	0.003755	4.246681	7.045596	8.162419	0.26111	0.271767	-2.898042
7,649	train	H0	H17	20	20	30	35	35	0.013635	-0.160636	0.374555	0.375048	1.193888	5.653115	1.506684	0.375048	0.374555	0.129762	0.140661	0.021735	0.025826	1.089244	1.424639	0.141081
7,649	train	H1	H17	20	20	30	30	45	1.401192	-1.293073	-1.587966	-1.627071	3.045371	4.750825	2.97577	-1.627071	1.587966	0.163825	2.647359	2.045796	1.681602	2.447323	2.251909	1.392321
7,649	train	H0	H17	30	30	30	20	23.333333	0.704703	-0.75093	-0.403761	-0.402961	0.67088	3.3677	0.938488	0.704703	0.75093	0.338331	0.162378	0.325246	0.564662	0.032227	0.077988	0.77232
7,649	train	H1	H17	30	30	30	33.333333	30	0.282035	-0.332992	0.072365	0.071997	1.201551	2.096617	1.037522	0.282035	0.332992	0.552597	0.005184	0.047581	0.11053	0.533663	0.402755	0.344479
7,649	train	H0	H17	50	50	30	34	38	0.143229	-0.101196	-0.332303	-0.330009	0.48279	1.716085	0.401598	-0.330009	0.332303	0.633364	0.108906	0.0256	0.010203	0.230882	0.188419	0.105566
7,649	train	H1	H17	50	50	30	34	30	-1.573678	1.696011	1.053262	1.054827	4.255402	4.303211	4.318482	-1.573678	1.696011	0.082395	1.11266	2.121205	2.884287	0.00808	0.004262	-1.736958
7,649	train	H0	H17	75	75	30	30.666667	28	-1.036398	1.065618	0.848456	0.846251	1.226087	1.466587	1.175057	-1.036398	1.065618	0.274857	0.716141	1.046125	1.134264	0.146914	0.203096	-1.091946
7,649	train	H1	H17	75	75	30	30.666667	40	-0.195268	0.217336	0.024909	0.024965	0.266723	0.543606	0.309541	0.024965	0.217336	0.83001	0.000623	0.012888	0.047251	0.043517	0.054242	-0.214689
7,649	train	H0	H17	100	100	30	29	34	0.279393	-0.255277	-0.286814	-0.285065	0.085374	0.114462	0.082463	-0.285065	0.286814	0.793415	0.081262	0.08101	0.06508	0.029625	0.024582	0.261879
7,649	train	H1	H17	100	100	30	38	34	-1.490911	1.693731	0.796008	0.795279	6.512866	7.445718	6.114486	-1.490911	1.693731	0.047017	0.632469	2.033195	2.871432	0.489147	0.421658	-1.73339
7,649	train	H0	H17	150	150	30	32	23.333333	-0.351954	0.274118	0.661502	0.659494	0.818849	1.719496	0.93727	0.659494	0.661502	0.625856	0.434933	0.214494	0.075087	0.960808	1.050153	-0.283314
7,649	train	H1	H17	150	150	30	28.666667	29.333333	-1.551058	1.626952	1.19111	1.19123	2.653367	3.335027	2.881629	1.19123	1.626952	0.095352	1.419028	2.162375	2.651736	0.126723	0.11516	-1.667819
7,649	train	H0	H17	200	200	30	34.5	27	-0.842406	0.765138	1.171573	1.169435	1.976949	2.659649	1.829913	1.169435	1.171573	0.400534	1.367578	0.792649	0.585149	1.967255	1.860035	-0.791263
7,649	train	H1	H17	200	200	30	30	29.5	-1.876155	1.935803	1.388511	1.389208	4.631261	4.600515	4.544212	-1.876155	1.935803	0.047049	1.929898	3.203607	3.757761	0.078336	0.113625	-1.985862
7,649	train	H0	H17	300	300	30	29.333333	30	0.026703	0.039408	-0.270878	-0.271482	0.665918	2.492744	0.483984	0.026703	0.270878	0.476604	0.073702	0.000362	0.001553	0.314094	0.273767	-0.040071
7,649	train	H1	H17	300	300	30	34	25.666667	-3.908646	4.000136	3.30168	3.314044	15.054297	24.837191	16.393838	-3.908646	4.000136	0.000017	10.98289	13.532509	16.100021	2.074639	1.953408	-4.100059
7,649	train	H0	H17	500	500	30	28.8	33.2	-1.062709	1.316872	0.113016	0.112967	6.680556	7.003745	6.795242	-1.062709	1.316872	0.033453	0.012762	0.827882	1.736339	1.817735	1.82436	-1.352548
7,649	train	H1	H17	500	500	30	29.6	28.8	-2.234049	2.495946	0.936994	0.936693	14.246638	14.06517	14.69695	-2.234049	2.495946	0.000644	0.877394	3.835261	6.238776	1.713217	1.615346	-2.54448
7,649	train	H0	H17	1,000	1,000	30	30.2	32.6	0.384859	-0.362819	-0.521483	-0.521394	0.43239	0.947826	0.352714	-0.521394	0.521483	0.709791	0.271852	0.144163	0.131619	0.330786	0.311013	0.372137
7,649	train	H1	H17	1,000	1,000	30	30.9	28.6	-3.897734	4.071784	2.893272	2.897545	18.565082	19.872658	19.308843	-3.897734	4.071784	0.000031	8.395766	13.702013	16.60858	0.314333	0.301765	-4.165751
7,649	train	H0	H17	20	20	40	40	40	1.465253	-1.367971	-1.62364	-1.746459	3.489756	3.5197	3.49442	-1.746459	1.62364	0.145537	3.050118	2.480557	1.935874	2.659744	2.669891	1.455478
7,649	train	H1	H17	20	20	40	45	45	-0.010159	0.046657	-0.088117	-0.087069	0.139577	0.601214	0.159152	-0.087069	0.088117	0.896154	0.007581	0.001224	0.002165	0.009042	0.021278	-0.036391
7,649	train	H0	H17	30	30	40	53.333333	50	1.076034	-1.46081	-0.438988	-0.436038	7.410536	8.397431	7.721284	-0.436038	1.46081	0.021054	0.190129	1.164178	2.139931	0.915073	0.729905	1.50248
7,649	train	H1	H17	30	30	40	40	33.333333	-1.16561	1.113364	1.191541	1.210512	1.465552	1.469542	1.465607	-1.16561	1.191541	0.254913	1.46534	1.376584	1.238848	1.352737	1.368764	-1.138496
7,649	train	H0	H17	50	50	40	50	50	0.007854	0.076876	-0.018195	-0.018093	0.002114	3.741866	0.002475	-0.018093	0.076876	0.290721	0.000327	0.000639	0.00589	0.000612	0.001516	-0.079841
7,649	train	H1	H17	50	50	40	46	48	-0.745091	0.982031	0.357672	0.35667	2.281622	6.418976	2.563554	0.35667	0.982031	0.092913	0.127214	0.465453	0.967546	0.259598	0.305872	-1.005918
7,649	train	H0	H17	75	75	40	36	46.666667	1.780423	-1.96423	-1.28651	-1.282017	5.207611	5.195927	5.189971	1.780423	1.96423	0.044501	1.643567	3.055604	3.855841	0.012444	0.0241	2.009343
7,649	train	H1	H17	75	75	40	42.666667	45.333333	0.120471	-0.043761	-0.314708	-0.312817	0.567457	0.926704	0.514997	-0.312817	0.314708	0.772983	0.097854	0.01652	0.001911	0.266485	0.225076	0.049118
7,649	train	H0	H17	100	100	40	41	28	0.050709	-0.008442	0.015433	0.015489	0.122809	2.331363	0.035204	0.050709	0.015433	0.506539	0.00024	0.006429	0.000071	0.030956	0.012077	0.00715
7,649	train	H1	H17	100	100	40	44	52	-1.073711	1.401993	0.462466	0.466402	5.243736	7.726478	5.756148	0.466402	1.401993	0.052016	0.217531	1.037736	1.97198	0.978808	0.983393	-1.466038
7,649	train	H0	H17	150	150	40	39.333333	38.666667	-0.181144	0.124742	0.269128	0.268151	0.126933	0.139269	0.126974	0.268151	0.269128	0.896998	0.071905	0.032299	0.015544	0.17959	0.185903	-0.129454
7,649	train	H1	H17	150	150	40	37.333333	44.666667	-0.219132	0.270862	-0.04678	-0.046882	0.982628	2.252408	0.820842	-0.046882	0.270862	0.521699	0.002198	0.044742	0.073375	0.251384	0.200783	-0.280184
7,649	train	H0	H17	200	200	40	40.5	40.5	-0.994818	1.214235	0.545205	0.543677	2.12172	4.00204	2.505455	0.543677	1.214235	0.209437	0.295584	0.858432	1.475853	0.120858	0.115535	-1.255114
7,649	train	H1	H17	200	200	40	36.5	42.5	0.173887	-0.218311	-0.147792	-0.147626	0.022123	0.677504	0.033214	0.173887	0.218311	0.819643	0.021793	0.022257	0.047645	0.000044	0.00023	0.228004
7,649	train	H0	H17	300	300	40	40	35.333333	-1.800861	1.646321	2.047257	2.053408	4.417081	4.470055	4.398117	2.053408	2.047257	0.088084	4.216486	3.286455	2.711781	3.923095	3.985596	-1.705593
7,649	train	H1	H17	300	300	40	41.333333	34.333333	-2.395427	2.314957	2.375115	2.380346	5.801358	6.010678	5.854758	2.380346	2.375115	0.017095	5.666045	5.488434	5.364402	3.182109	3.293729	-2.384649
7,649	train	H0	H17	500	500	40	40.8	38.2	-1.419216	1.473913	1.324949	1.325402	1.861204	4.46124	2.016691	-1.419216	1.473913	0.124803	1.75669	1.870695	2.172371	0.71908	0.685022	-1.534921
7,649	train	H1	H17	500	500	40	38	42.6	-0.961497	1.319285	0.032282	0.032291	8.699566	9.812397	9.22793	0.032291	1.319285	0.009912	0.001043	0.645002	1.741625	2.73466	2.74001	-1.360603
7,649	train	H0	H17	1,000	1,000	40	40.5	39.3	-1.566893	1.719994	1.119081	1.119299	3.578288	3.772959	3.729364	-1.566893	1.719994	0.075045	1.252831	2.292341	2.958647	0.003755	0.00613	-1.78019
7,649	train	H1	H17	1,000	1,000	40	40.7	42.4	-2.948557	3.335154	1.906707	1.911248	17.258312	17.39321	17.57056	-2.948557	3.335154	0.000153	3.652869	8.131448	11.157871	0.313056	0.301611	-3.450821
7,649	train	H0	H17	20	20	50	55	50	0.455092	-0.45309	-0.463115	-0.477103	0.230991	0.232698	0.230982	-0.477103	0.463115	0.651613	0.227627	0.218261	0.205289	0.045127	0.04554	0.451523
7,649	train	H1	H17	20	20	50	40	60	0.273459	-0.096676	-0.657684	-0.643724	2.860232	3.396462	2.94686	-0.643724	0.657684	0.229138	0.41438	0.114432	0.009302	1.655119	1.706009	0.135152
7,649	train	H0	H17	30	30	50	60	63.333333	0.065941	0.098365	-0.266372	-0.260037	0.684407	1.073629	0.627941	-0.260037	0.266372	0.730541	0.067619	0.000147	0.009641	0.246426	0.130404	-0.090886
7,649	train	H1	H17	30	30	50	40	43.333333	-0.651804	0.861419	0.296776	0.294659	1.942512	2.178261	1.868678	0.294659	0.861419	0.373666	0.086824	0.445088	0.738305	0.18889	0.134013	-0.889627
7,649	train	H0	H17	50	50	50	56	38	-0.711209	0.434228	1.121077	1.11839	3.313136	3.424383	3.253342	1.11839	1.121077	0.196583	1.250797	0.499459	0.188517	3.340707	3.115631	-0.480228
7,649	train	H1	H17	50	50	50	58	54	-0.887025	1.019715	0.768548	0.768377	0.892702	5.196345	0.986815	0.768377	1.019715	0.157972	0.590403	0.732249	1.040758	0.131077	0.08481	-1.062864
7,649	train	H0	H17	75	75	50	50.666667	49.333333	0.35105	-0.621263	0.079204	0.078628	2.83451	2.752925	2.834129	0.078628	0.621263	0.242425	0.006182	0.132383	0.385136	1.042697	0.903024	0.641857
7,649	train	H1	H17	75	75	50	50.666667	66.666667	0.358407	-0.169402	-0.566244	-0.572033	1.323668	1.312999	1.317176	-0.572033	0.566244	0.517582	0.327221	0.105665	0.028802	0.899938	0.86082	0.170936
7,649	train	H0	H17	100	100	50	45	51	0.569932	-0.502401	-0.510083	-0.508663	0.31664	1.905437	0.354052	-0.508663	0.510083	0.592264	0.258738	0.201792	0.252426	0.046053	0.034588	0.523817
7,649	train	H1	H17	100	100	50	58	59	-0.555882	0.979571	0.180275	0.178998	2.42703	6.773679	2.858895	0.178998	0.979571	0.079472	0.03204	0.406729	0.959118	0.703314	0.986483	-1.024546
7,649	train	H0	H17	150	150	50	46	55.333333	0.937977	-0.812704	-1.062561	-1.057726	1.195268	1.85236	1.228146	-1.057726	1.062561	0.393767	1.118785	0.904077	0.660031	0.95361	1.078306	0.852806
7,649	train	H1	H17	150	150	50	50.666667	52.666667	-1.419961	1.716103	0.909942	0.913066	5.521573	6.551333	5.774563	0.913066	1.716103	0.055728	0.833689	1.975696	2.959265	0.262224	0.253398	-1.789928
7,649	train	H0	H17	200	200	50	47	47	-0.316445	0.372028	0.133883	0.133552	0.507358	0.904679	0.433935	-0.316445	0.372028	0.697319	0.017836	0.11065	0.13833	0.038036	0.027324	-0.388942
7,649	train	H1	H17	200	200	50	46.5	49.5	-1.705868	1.606579	1.751186	1.783999	3.182733	3.191124	3.182785	-1.705868	1.751186	0.094332	3.182651	2.924972	2.597838	2.35761	2.413115	-1.672975
7,649	train	H0	H17	300	300	50	53	50	0.421207	-0.554031	-0.186992	-0.186973	0.899373	0.883339	0.889038	-0.186973	0.554031	0.56257	0.034959	0.191013	0.306937	0.170115	0.162349	0.579029
7,649	train	H1	H17	300	300	50	50	48.666667	-2.330127	2.429969	2.012063	2.030617	6.048439	6.782503	6.229495	2.030617	2.429969	0.010813	4.123404	5.156675	5.922276	0.686905	0.731869	-2.548686
7,649	train	H0	H17	500	500	50	46.6	54.6	2.168271	-2.13387	-2.101193	-2.099715	4.691937	4.71646	4.700568	2.168271	2.13387	0.02573	4.408805	4.709265	4.552459	1.997823	2.007828	2.23027
7,649	train	H1	H17	500	500	50	50.6	52.4	-1.52008	1.741401	1.123997	1.12926	4.384424	4.327052	4.414069	1.12926	1.741401	0.069839	1.275227	2.35694	3.036076	0.003263	0.001952	-1.812951
7,649	train	H0	H17	1,000	1,000	50	49.7	48.8	-1.481802	1.645811	1.010376	1.010342	4.786645	6.451755	4.392437	-1.481802	1.645811	0.085967	1.020792	2.280294	2.708905	0.049065	0.027852	-1.717064
7,649	train	H1	H17	1,000	1,000	50	48.8	51.7	-2.690333	3.238874	1.63457	1.643181	21.320126	21.218065	21.015231	1.643181	3.238874	0.000027	2.700043	7.582359	10.510235	1.463246	1.402256	-3.374853
7,649	train	H0	H18	20	20	0	0	0	-0.838553	0.838553	1.544014	1.645183	7.226521	13.587919	6.39585	1.645183	1.544014	0.003523	2.706628	1.353972	0.702999	5.573344	5.254515	-0.849235
7,649	train	H1	H18	20	20	0	0	0	1.217254	-1.217254	-1.086829	-1.07759	1.466362	1.675006	1.482525	-1.07759	1.217254	0.217665	1.161201	1.42562	1.48243	0.355601	0.358315	1.232761
7,649	train	H0	H18	30	30	0	0	0	0.192198	-0.192198	0.142677	0.143944	0.077325	10.508875	0.52216	0.143944	0.192198	0.014701	0.02072	0.004861	0.03691	0.184089	0.365976	0.193819
7,649	train	H1	H18	30	30	0	0	0	-1.685424	1.685424	2.069393	2.164211	5.318863	6.470874	5.153977	-1.685424	2.069393	0.076003	4.683808	3.623825	2.859721	5.495813	5.382539	-1.699648
7,649	train	H0	H18	50	50	0	0	0	-1.564897	1.564897	1.551193	1.557552	2.520532	2.67381	2.596882	-1.564897	1.564897	0.11577	2.425967	2.486442	2.458093	1.326284	1.34345	-1.572781
7,649	train	H1	H18	50	50	0	0	0	1.068542	-1.068542	-0.809542	-0.802799	1.237839	1.346932	1.215945	1.068542	1.068542	0.282856	0.644487	0.982073	1.140545	0.07336	0.117983	1.073925
7,649	train	H0	H18	75	75	0	0	0	-0.452927	0.452927	1.107446	1.107574	1.988128	2.412533	2.378733	1.107574	1.107446	0.304414	1.22672	0.605843	0.204962	2.340126	2.397489	-0.451404
7,649	train	H1	H18	75	75	0	0	0	-0.328889	0.328889	0.522602	0.519801	0.271348	0.34049	0.335254	0.519801	0.522602	0.743076	0.270194	0.245966	0.108126	0.34014	0.340011	-0.327783
7,649	train	H0	H18	100	100	0	0	0	-0.588857	0.588857	0.470803	0.467211	0.25168	0.767328	0.35479	0.467211	0.588857	0.554966	0.218286	0.24624	0.346438	0.060541	0.04477	-0.590334
7,649	train	H1	H18	100	100	0	0	0	0.527772	-0.527772	-0.268038	-0.268084	1.021367	5.355655	0.439237	-0.268084	0.527772	0.147532	0.071869	0.294658	0.278175	0.006476	0.000023	0.529096
7,649	train	H0	H18	150	150	0	0	0	-0.535109	0.535109	1.009367	1.009127	1.44925	1.504821	1.516666	1.009127	1.009367	0.468447	1.018337	0.581836	0.286233	1.570213	1.496301	-0.536003
7,649	train	H1	H18	150	150	0	0	0	1.521466	-1.521466	-0.561125	-0.562975	4.729681	6.807554	4.804691	1.521466	1.521466	0.078291	0.316941	1.492306	2.31806	0.264605	0.292315	1.524008
7,649	train	H0	H18	200	200	0	0	0	1.02669	-1.02669	-0.111917	-0.111601	3.079168	3.456159	3.538709	1.02669	1.02669	0.170443	0.012455	0.475222	1.054523	0.678239	0.651497	1.027975
7,649	train	H1	H18	200	200	0	0	0	0.969603	-0.969603	-0.092563	-0.092272	2.940634	2.91647	3.240602	0.969603	0.969603	0.197839	0.008514	0.415155	0.940054	0.672776	0.63927	0.970818
7,649	train	H0	H18	300	300	0	0	0	-1.364993	1.364993	1.107993	1.105752	1.877211	1.833367	1.888932	-1.364993	1.364993	0.171897	1.222687	1.698514	1.863523	0.30531	0.345274	-1.366132
7,649	train	H1	H18	300	300	0	0	0	0.764453	-0.764453	0.09488	0.094985	3.436514	4.028929	2.983735	0.764453	0.764453	0.224952	0.009022	0.235306	0.584253	0.897245	0.822614	0.765091
7,649	train	H0	H18	500	500	0	0	0	-0.759421	0.759421	0.10624	0.106039	1.157185	2.839467	1.806537	-0.759421	0.759421	0.405243	0.011244	0.225831	0.57666	0.331777	0.360355	-0.759801
7,649	train	H1	H18	500	500	0	0	0	0.464018	-0.464018	0.350466	0.350535	1.300394	7.459565	2.527947	0.350535	0.464018	0.058607	0.122875	0.003641	0.215308	1.157219	1.259581	0.46425
7,649	train	H0	H18	1,000	1,000	0	0	0	-0.378064	0.378064	-0.035834	-0.035801	0.386238	0.288267	0.674165	-0.378064	0.378064	0.705313	0.001282	0.030994	0.142912	0.188274	0.17419	-0.378158
7,649	train	H1	H18	1,000	1,000	0	0	0	3.425185	-3.425185	-1.350399	-1.354183	22.658302	21.171994	22.52737	3.425185	3.425185	0.000013	1.833812	7.499025	11.75243	1.001457	0.944146	3.426041

Subsets and Splits