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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	H16	20	20	30	20	25	0.443888	-0.494092	-0.464329	-0.460901	0.247532	6.039287	0.213073	-0.460901	0.494092	0.109714	0.21243	0.305836	0.242924	0.089448	0.145811	0.495004
7,649	train	H1	H16	20	20	30	30	20	1.777005	-1.925134	-1.214127	-1.235355	4.539208	5.87998	4.801964	1.777005	1.925134	0.046506	1.526101	2.96819	3.838292	0.025966	0.045337	1.990772
7,649	train	H0	H16	30	30	30	23.333333	30	0.734886	-0.791597	-0.651208	-0.644709	0.486896	1.925093	0.553286	0.734886	0.791597	0.414391	0.41565	0.531807	0.625508	0.070029	0.056195	0.81619
7,649	train	H1	H16	30	30	30	40	30	0.188801	-0.152683	-0.247558	-0.250656	0.106575	0.265702	0.099628	-0.250656	0.247558	0.87627	0.062828	0.028671	0.023275	0.023268	0.008719	0.155699
7,649	train	H0	H16	50	50	30	24	20	0.984556	-0.908431	-1.378377	-1.414639	3.210225	5.588011	2.94779	-1.414639	1.378377	0.133468	2.001203	1.17849	0.82627	2.715611	2.524225	0.93632
7,649	train	H1	H16	50	50	30	28	28	-0.077414	0.049235	0.155281	0.15469	0.109807	1.507121	0.057469	-0.077414	0.155281	0.680628	0.023929	0.001375	0.002417	0.106184	0.070162	-0.052718
7,649	train	H0	H16	75	75	30	25.333333	28	1.103709	-1.075687	-1.083486	-1.092844	1.221111	2.080434	1.244012	-1.092844	1.083486	0.27533	1.194309	1.155651	1.156449	0.543726	0.515541	1.090871
7,649	train	H1	H16	75	75	30	28	30.666667	0.07728	-0.035648	-0.405318	-0.40374	1.060809	1.222139	1.013154	-0.40374	0.405318	0.602555	0.163006	0.023983	0.001269	0.626773	0.489479	0.044639
7,649	train	H0	H16	100	100	30	29	30	0.980199	-0.992819	-1.166161	-1.176395	1.716277	9.508606	1.519759	0.980199	1.166161	0.02324	1.383904	1.013263	0.986492	1.390232	1.246548	1.018911
7,649	train	H1	H16	100	100	30	26	22	-0.622195	0.644241	0.413781	0.413071	0.58597	0.594465	0.558664	0.413071	0.644241	0.509836	0.170627	0.33208	0.414365	0.004001	0.004882	-0.659093
7,649	train	H0	H16	150	150	30	29.333333	36.666667	1.46332	-1.552254	-1.131446	-1.128589	2.235773	3.00845	2.516366	1.46332	1.552254	0.107651	1.273713	1.895086	2.410396	0.100198	0.101162	1.608843
7,649	train	H1	H16	150	150	30	35.333333	28	-0.746467	0.747522	0.883155	0.881316	0.950959	4.613696	0.832648	-0.746467	0.883155	0.20237	0.776717	0.560917	0.558171	0.852161	0.712411	-0.767194
7,649	train	H0	H16	200	200	30	29	30.5	-0.0622	0.026284	0.12598	0.125732	0.023111	0.519342	0.040572	0.125732	0.12598	0.914622	0.015809	0.008519	0.00069	0.053128	0.061054	-0.026349
7,649	train	H1	H16	200	200	30	31.5	31	-1.944873	2.000405	1.692435	1.699135	3.783099	4.695989	3.950733	-1.944873	2.000405	0.04083	2.887061	3.615066	4.013426	0.781881	0.736061	-2.045253
7,649	train	H0	H16	300	300	30	30.333333	28.333333	-1.317484	1.375907	1.079114	1.078333	1.925747	2.138065	1.906501	-1.317484	1.375907	0.159936	1.162802	1.758924	1.894461	0.204451	0.191294	-1.405286
7,649	train	H1	H16	300	300	30	31	30	-0.247739	0.294962	-0.024225	-0.024186	0.452121	1.003224	0.602254	-0.247739	0.294962	0.739984	0.000585	0.015313	0.086971	0.162508	0.161224	-0.301128
7,649	train	H0	H16	500	500	30	30	32.6	0.746441	-0.472106	-1.59039	-1.593248	6.517285	7.453311	7.11647	-1.593248	1.59039	0.028489	2.538439	0.950449	0.222875	6.172214	6.14798	0.48138
7,649	train	H1	H16	500	500	30	30.8	30.8	-2.004795	2.387509	0.475004	0.475747	18.623443	18.937211	19.237531	-2.004795	2.387509	0.000066	0.226335	2.932551	5.709648	4.368428	4.284663	-2.438939
7,649	train	H0	H16	1,000	1,000	30	30.9	31.1	0.850104	-0.941139	-0.530496	-0.530073	1.076112	1.74003	1.271485	0.850104	0.941139	0.335568	0.280978	0.58941	0.88568	0.008269	0.00873	0.962959
7,649	train	H1	H16	1,000	1,000	30	28.6	33.3	2.540713	-2.388861	-2.97956	-2.983836	9.538576	9.99778	9.409609	2.540713	2.97956	0.009052	8.903279	6.914488	5.71047	8.32583	8.311803	2.440788
7,649	train	H0	H16	20	20	40	60	55	-1.14147	1.438903	0.752408	0.738648	3.381826	3.354045	3.358954	0.738648	1.438903	0.133813	0.5456	1.471224	2.067287	0.379372	0.222922	-1.499234
7,649	train	H1	H16	20	20	40	15	40	0.573499	-0.54246	-0.780419	-0.771642	0.745407	2.966116	0.828515	-0.771642	0.780419	0.396879	0.595432	0.475301	0.291894	0.618685	0.695674	0.556411
7,649	train	H0	H16	30	30	40	33.333333	56.666667	1.173002	-1.250595	-0.983577	-0.981742	1.590427	3.399189	1.692226	-0.981742	1.250595	0.190602	0.963817	1.253388	1.562662	0.078677	0.067147	1.308801
7,649	train	H1	H16	30	30	40	30	30	1.408544	-1.455269	-1.089385	-1.102451	2.705003	3.155445	2.605135	1.408544	1.455269	0.137133	1.215399	1.82491	2.140179	0.094555	0.117069	1.486552
7,649	train	H0	H16	50	50	40	36	36	0.311758	-0.291341	-0.347935	-0.345361	0.120079	0.258455	0.122836	-0.345361	0.347935	0.765269	0.119274	0.112752	0.084678	0.081034	0.065046	0.298568
7,649	train	H1	H16	50	50	40	38	40	-1.216443	1.476384	0.510998	0.512497	6.137018	6.161641	6.068017	0.512497	1.476384	0.048122	0.262654	1.283695	2.188305	0.981256	0.898882	-1.520053
7,649	train	H0	H16	75	75	40	29.333333	41.333333	1.973218	-1.84591	-2.223136	-2.265041	5.616375	6.325149	5.550619	-2.265041	2.223136	0.061311	5.130409	4.158205	3.41652	4.838264	4.827349	1.871248
7,649	train	H1	H16	75	75	40	46.666667	41.333333	-1.036175	0.953818	1.129491	1.135377	1.362313	2.816797	1.330876	1.135377	1.129491	0.328343	1.28908	1.01091	0.908832	1.351633	1.290792	-0.977457
7,649	train	H0	H16	100	100	40	40	42	0.453628	-0.268523	-0.690339	-0.692235	0.790381	4.004815	0.950665	-0.692235	0.690339	0.260945	0.47919	0.264977	0.072065	0.810117	0.899424	0.277292
7,649	train	H1	H16	100	100	40	37	43	0.744258	-0.466566	-1.348557	-1.356556	6.229009	6.904063	6.042598	-1.356556	1.348557	0.048738	1.840244	0.648199	0.217659	4.847613	4.632932	0.474501
7,649	train	H0	H16	150	150	40	44	49.333333	-0.230734	0.355782	0.018765	0.018702	0.524137	0.519838	0.517488	-0.230734	0.355782	0.713221	0.00035	0.050204	0.126593	0.129085	0.085769	-0.367534
7,649	train	H1	H16	150	150	40	48	45.333333	-1.58356	1.554968	1.503063	1.515374	2.532448	2.507667	2.528513	1.515374	1.554968	0.106442	2.296359	2.434045	2.423844	1.059958	1.014046	-1.614392
7,649	train	H0	H16	200	200	40	41	48	1.815975	-1.684783	-1.978403	-1.983233	4.056613	4.09967	4.04754	-1.983233	1.978403	0.082207	3.933213	3.325938	2.842643	3.226175	3.221572	1.738023
7,649	train	H1	H16	200	200	40	44	45.5	-1.059975	1.392641	0.406807	0.406113	5.522631	7.546371	5.912504	0.406113	1.392641	0.052013	0.164928	0.986511	1.939428	1.036162	1.154157	-1.434124
7,649	train	H0	H16	300	300	40	36	39.333333	0.723497	-0.620764	-1.033354	-1.032069	1.685711	1.585573	1.721869	-1.032069	1.033354	0.422767	1.065166	0.670873	0.385501	1.590391	1.539358	0.639596
7,649	train	H1	H16	300	300	40	40.333333	43	-0.205618	0.392975	-0.256545	-0.256171	2.083275	2.035096	2.218664	-0.205618	0.392975	0.329779	0.065624	0.012938	0.154406	0.984109	0.937489	-0.404818
7,649	train	H0	H16	500	500	40	43.6	38.8	-1.68569	1.7356	1.380172	1.379537	3.308382	3.268093	3.355513	-1.68569	1.7356	0.072182	1.903123	2.67045	3.012059	0.242984	0.254401	-1.797971
7,649	train	H1	H16	500	500	40	38.6	38.2	0.324169	-0.317131	-0.391877	-0.391653	0.155053	0.784726	0.175768	0.324169	0.391877	0.745767	0.153392	0.186237	0.100577	0.169183	0.142766	0.324225
7,649	train	H0	H16	1,000	1,000	40	42.1	40	-1.000576	0.943735	1.104637	1.105369	1.285681	2.006261	1.25197	1.105369	1.104637	0.328853	1.22184	0.946667	0.890543	1.087013	1.092712	-0.976428
7,649	train	H1	H16	1,000	1,000	40	39.6	37.8	-2.554383	2.780578	1.773367	1.774002	10.858593	10.72001	10.934172	-2.554383	2.780578	0.004224	3.147085	6.011867	7.739568	0.005781	0.005533	-2.859277
7,649	train	H0	H16	20	20	50	55	40	-0.867577	0.971592	0.575393	0.566405	1.671005	1.728112	1.699233	0.566405	0.971592	0.32227	0.320814	0.668196	0.938354	0.00252	0.0004	-0.989805
7,649	train	H1	H16	20	20	50	60	35	-1.861855	1.920827	1.674489	1.673552	3.887519	4.215998	3.85244	-1.861855	1.920827	0.04502	2.800775	3.456095	3.700961	0.72294	0.818639	-2.004464
7,649	train	H0	H16	30	30	50	46.666667	40	-0.045112	0.23054	-0.300594	-0.303568	1.938128	2.662756	1.839277	-0.303568	0.300594	0.398663	0.092153	0.001579	0.052876	0.805157	0.704816	-0.247659
7,649	train	H1	H16	30	30	50	46.666667	60	1.559875	-1.501367	-1.666135	-1.705546	3.178509	4.979494	3.211523	1.559875	1.666135	0.118175	2.908887	2.658921	2.27035	2.342661	2.427982	1.562481
7,649	train	H0	H16	50	50	50	52	50	-0.572649	0.430409	0.798118	0.80252	1.595059	2.749638	1.65783	-0.572649	0.798118	0.431858	0.644039	0.376864	0.185962	1.803506	1.858397	-0.441416
7,649	train	H1	H16	50	50	50	48	54	0.64453	-0.683302	-0.601223	-0.599654	0.442981	0.766345	0.43229	-0.599654	0.683302	0.484765	0.359585	0.457028	0.466281	0.058435	0.068239	0.698659
7,649	train	H0	H16	75	75	50	50.666667	50.666667	0.245307	-0.115793	-0.360537	-0.364385	0.350756	0.926053	0.320388	-0.364385	0.360537	0.819136	0.132776	0.034398	0.013392	0.193207	0.149557	0.121635
7,649	train	H1	H16	75	75	50	52	37.333333	-1.494095	1.446973	1.578456	1.570339	2.473037	3.312155	2.466661	1.570339	1.578456	0.133082	2.465964	2.253016	2.089923	1.979563	1.919147	-1.50206
7,649	train	H0	H16	100	100	50	50	53	0.583383	-0.746753	-0.306183	-0.305201	1.304939	3.905165	1.519877	-0.305201	0.746753	0.271888	0.093148	0.268875	0.557328	0.21802	0.288873	0.777723
7,649	train	H1	H16	100	100	50	53	60	0.665216	-0.301454	-1.081706	-1.081787	4.530989	8.033381	4.760181	-1.081787	1.081706	0.045327	1.170264	0.462724	0.090901	3.435264	3.484287	0.322599
7,649	train	H0	H16	150	150	50	46.666667	53.333333	1.630391	-1.38901	-1.713258	-1.720271	2.960176	6.499487	2.981968	-1.720271	1.713258	0.089683	2.959332	2.571195	1.930735	2.468214	2.923226	1.43416
7,649	train	H1	H16	150	150	50	46	47.333333	0.085038	-0.02694	-0.173706	-0.173399	0.077266	2.473449	0.129833	-0.173399	0.173706	0.480109	0.030067	0.023597	0.000725	0.059996	0.085177	0.028388
7,649	train	H0	H16	200	200	50	45.5	52.5	1.694444	-1.724832	-1.608444	-1.607683	2.815186	3.399576	2.880022	-1.607683	1.724832	0.071669	2.584644	2.810705	2.977033	0.961632	0.973499	1.801217
7,649	train	H1	H16	200	200	50	55	56	-0.343642	0.333917	0.327557	0.327649	0.11595	0.331969	0.119372	0.327649	0.333917	0.729369	0.107354	0.108103	0.111456	0.08026	0.086885	-0.345965
7,649	train	H0	H16	300	300	50	47.666667	50.666667	1.091347	-0.895935	-1.332923	-1.336364	2.30015	2.779162	2.353867	-1.336364	1.332923	0.308222	1.785868	1.250901	0.802764	2.158057	2.211595	0.933728
7,649	train	H1	H16	300	300	50	50.666667	51.333333	-1.365224	1.694167	0.889947	0.890783	4.749479	5.726971	4.926639	-1.365224	1.694167	0.079814	0.793494	2.023921	2.875266	0.193851	0.206723	-1.751764
7,649	train	H0	H16	500	500	50	49.8	47.6	0.467005	-0.692878	-0.146544	-0.146567	1.169874	7.20629	1.569167	-0.146567	0.692878	0.065605	0.021482	0.132422	0.480276	0.315341	0.35232	0.717015
7,649	train	H1	H16	500	500	50	46.8	52	0.251459	0.029027	-0.702047	-0.701354	3.423947	4.150586	3.229753	-0.701354	0.702047	0.198915	0.491898	0.039231	0.000843	2.212236	2.066947	-0.030346
7,649	train	H0	H16	1,000	1,000	50	51.4	52.7	0.580728	-0.29811	-0.896858	-0.897292	2.007308	2.382679	2.078182	-0.897292	0.896858	0.353776	0.805133	0.297532	0.088869	1.829544	1.83595	0.312144
7,649	train	H1	H16	1,000	1,000	50	50.8	48.7	-1.067985	0.936852	1.084246	1.084091	1.177961	1.355294	1.182884	-1.067985	1.084246	0.330827	1.175253	0.969536	0.877733	0.755981	0.751617	-0.97245
7,649	train	H0	H17	20	20	0	0	0	0.486902	-0.486902	-0.825794	-0.814956	0.873949	0.953963	0.930242	-0.814956	0.825794	0.621939	0.664153	0.418011	0.235465	0.764806	0.771107	0.493104
7,649	train	H1	H17	20	20	0	0	0	-0.811503	0.811503	0.350683	0.343236	1.211027	1.072656	1.291788	-0.811503	0.811503	0.411168	0.117811	0.392283	0.656216	0.040575	0.016122	-0.821841
7,649	train	H0	H17	30	30	0	0	0	0.428748	-0.428748	0.245198	0.243343	2.126243	2.204233	1.986806	0.428748	0.428748	0.370314	0.059216	0.031979	0.182985	0.930221	0.805567	0.432367
7,649	train	H1	H17	30	30	0	0	0	-1.064479	1.064479	0.302973	0.298842	2.825789	2.888705	2.915006	-1.064479	1.064479	0.232817	0.089307	0.620359	1.132929	0.369616	0.302203	-1.073462
7,649	train	H0	H17	50	50	0	0	0	-1.964739	1.964739	1.271808	1.274447	4.264641	3.958989	4.825769	-1.964739	1.964739	0.048309	1.624214	2.903838	3.904954	0.008437	0.02633	-1.974637
7,649	train	H1	H17	50	50	0	0	0	0.668701	-0.668701	-1.129737	-1.136762	2.075413	3.637713	1.839357	0.668701	1.129737	0.303336	1.292228	0.712392	0.446278	1.650577	1.509085	0.672069
7,649	train	H0	H17	75	75	0	0	0	-1.41892	1.41892	1.195725	1.190275	1.71488	2.594574	2.027632	-1.41892	1.41892	0.157318	1.416754	1.695304	2.017066	0.420096	0.387998	-1.41415
7,649	train	H1	H17	75	75	0	0	0	0.204851	-0.204851	-0.389255	-0.388603	0.180891	5.485527	0.23024	-0.388603	0.389255	0.139507	0.151013	0.173766	0.041924	0.205589	0.312974	0.204162
7,649	train	H0	H17	100	100	0	0	0	0.671932	-0.671932	-0.376884	-0.374486	0.318584	1.198766	0.633899	0.671932	0.671932	0.500554	0.14024	0.237442	0.451466	0.001893	0.006792	0.673618
7,649	train	H1	H17	100	100	0	0	0	-1.158166	1.158166	0.469683	0.466505	2.012764	1.898977	2.551135	-1.158166	1.158166	0.245612	0.217627	0.751841	1.342106	0.124719	0.103623	-1.161073
7,649	train	H0	H17	150	150	0	0	0	2.867225	-2.867225	-1.924033	-1.927198	8.734758	10.37058	9.632007	2.867225	2.867225	0.004079	3.714094	6.601314	8.289378	0.309236	0.308996	2.872016
7,649	train	H1	H17	150	150	0	0	0	-1.100833	1.100833	0.908958	0.907207	1.503812	2.959766	1.222255	-1.100833	1.100833	0.270169	0.823024	1.222296	1.211271	0.237254	0.316157	-1.102673
7,649	train	H0	H17	200	200	0	0	0	-0.527616	0.527616	0.880796	0.881115	0.776572	5.465923	1.013629	0.881115	0.880796	0.140691	0.776364	0.651245	0.278329	1.019511	1.182033	-0.528277
7,649	train	H1	H17	200	200	0	0	0	-2.748795	2.748795	1.191231	1.19457	12.525582	13.992507	13.522114	-2.748795	2.748795	0.001158	1.426999	4.984331	7.597515	0.801158	0.761467	-2.752237
7,649	train	H0	H17	300	300	0	0	0	0.908582	-0.908582	-1.043632	-1.041757	1.087903	1.098566	1.085317	-1.041757	1.043632	0.36317	1.085258	0.997682	0.82528	0.764869	0.760174	0.909341
7,649	train	H1	H17	300	300	0	0	0	-2.987159	2.987159	1.683601	1.683323	10.036767	14.2819	12.315053	-2.987159	2.987159	0.002117	2.833576	6.27222	8.961681	0.043114	0.055045	-2.989652
7,649	train	H0	H17	500	500	0	0	0	0.050365	-0.050365	-1.119963	-1.123399	5.404811	5.678528	4.833341	-1.123399	1.119963	0.089218	1.262026	0.171554	0.002536	3.640528	3.547595	0.050391
7,649	train	H1	H17	500	500	0	0	0	-3.888858	3.888858	1.415604	1.420225	26.966974	27.399817	30.939442	-3.888858	3.888858	0	2.017039	8.893643	15.20893	2.886388	2.811189	-3.890804
7,649	train	H0	H17	1,000	1,000	0	0	0	-0.724996	0.724996	-0.738209	-0.740119	9.071421	9.216474	8.230427	-0.724996	0.738209	0.016322	0.547776	0.052917	0.525632	4.140784	4.054158	-0.725177
7,649	train	H1	H17	1,000	1,000	0	0	0	-2.555143	2.555143	-0.326362	-0.328238	30.902285	28.000802	33.684798	-2.555143	2.555143	0	0.10774	2.099065	6.540334	10.923807	10.788087	-2.555782
7,649	train	H0	H17	20	20	10	5	15	-0.192012	0.280437	-0.696652	-0.703098	5.192438	5.165088	5.092658	-0.703098	0.696652	0.078369	0.494347	0.015244	0.078524	2.883831	2.669181	-0.280383
7,649	train	H1	H17	20	20	10	10	15	-0.538227	0.591941	-0.288625	-0.284956	3.661819	3.803061	3.825646	-0.284956	0.591941	0.147663	0.0812	0.056221	0.349197	1.519776	1.387927	-0.564085
7,649	train	H0	H17	30	30	10	10	6.666667	0.323299	-0.349965	0.188605	0.186843	1.712336	3.250787	1.323242	0.323299	0.349965	0.354551	0.03491	0.040749	0.121819	0.623456	0.459792	0.356609
7,649	train	H1	H17	30	30	10	16.666667	13.333333	0.03962	0.023229	-0.494234	-0.497783	1.722625	2.649856	1.501393	-0.497783	0.494234	0.448816	0.247788	0.023974	0.000536	0.854081	0.725621	-0.023233
7,649	train	H0	H17	50	50	10	8	8	0.064541	-0.094871	0.492828	0.491583	1.842675	2.223568	1.522179	0.491583	0.492828	0.467157	0.241654	0.005849	0.008978	1.062535	0.949184	0.089868
7,649	train	H1	H17	50	50	10	6	10	-0.89132	0.900595	0.334952	0.332709	2.036059	2.083671	1.917646	-0.89132	0.900595	0.364941	0.110695	0.507051	0.810254	0.151504	0.091705	-0.905991
7,649	train	H0	H17	75	75	10	14.666667	8	-0.003119	-0.015404	0.191257	0.190118	0.218221	0.346284	0.187938	0.190118	0.191257	0.910311	0.036145	0.002771	0.000237	0.15642	0.139749	0.013335
7,649	train	H1	H17	75	75	10	18.666667	12	0.508177	-0.572769	-0.172646	-0.1727	0.968365	1.251333	0.772702	0.508177	0.572769	0.571863	0.029825	0.235744	0.327894	0.084233	0.075166	0.56531
7,649	train	H0	H17	100	100	10	12	11	-0.358872	0.414706	-0.255588	-0.255286	1.779596	1.798638	1.903065	-0.255286	0.414706	0.386149	0.065171	0.024378	0.171911	0.823359	0.774358	-0.415257
7,649	train	H1	H17	100	100	10	13	9	-0.26948	0.28814	0.140131	0.139278	0.020039	4.055884	0.125985	0.139278	0.28814	0.255493	0.019398	0.013955	0.082942	0.000265	0.013131	-0.289633
7,649	train	H0	H17	150	150	10	10.666667	6.666667	-0.9858	0.939244	1.411317	1.413726	2.201194	2.673147	2.363791	1.413726	1.411317	0.306697	1.998621	1.393973	0.881545	2.327952	2.369848	-0.945448
7,649	train	H1	H17	150	150	10	15.333333	8.666667	-1.388188	1.386854	1.314442	1.310867	2.036374	2.204889	1.9492	1.310867	1.386854	0.16058	1.718371	2.046876	1.923787	0.774717	0.877307	-1.403125
7,649	train	H0	H17	200	200	10	11	8.5	-1.225116	1.288348	0.249547	0.249088	3.625941	5.93047	4.954526	-1.225116	1.288348	0.083973	0.062045	0.661929	1.66207	0.901643	0.973691	-1.300223
7,649	train	H1	H17	200	200	10	13	13.5	-1.498836	1.612197	-0.041036	-0.041352	13.258391	12.914809	13.526639	-1.498836	1.612197	0.001155	0.00171	1.000435	2.609797	4.233118	4.034036	-1.624952
7,649	train	H0	H17	300	300	10	9.333333	10	-0.340711	0.360786	0.065545	0.065392	0.351173	0.309396	0.385609	0.065392	0.360786	0.716231	0.004276	0.062575	0.130106	0.057428	0.048475	-0.363501
7,649	train	H1	H17	300	300	10	10.666667	13	0.103856	-0.011815	-1.249966	-1.252976	5.073015	11.0504	7.007733	-1.252976	1.249966	0.011456	1.56995	0.413238	0.00014	5.210725	5.369328	0.01286
7,649	train	H0	H17	500	500	10	9.4	11.2	-0.958061	1.019158	-0.089828	-0.089843	5.023533	6.256326	5.265346	-0.958061	1.019158	0.071886	0.008072	0.387217	1.038913	1.612534	1.655961	-1.027632
7,649	train	H1	H17	500	500	10	12.2	8	-1.761587	1.813519	0.762368	0.764262	6.319546	6.301784	6.371468	-1.761587	1.813519	0.041348	0.584096	2.13835	3.290205	0.374258	0.368023	-1.827095
7,649	train	H0	H17	1,000	1,000	10	11.4	10.8	-0.542885	0.580811	0.035303	0.035283	0.955975	1.221184	1.269739	-0.542885	0.580811	0.530005	0.001245	0.117671	0.337306	0.28791	0.290039	-0.586236
7,649	train	H1	H17	1,000	1,000	10	12.2	8.7	-3.826763	3.921515	2.040451	2.042342	20.837407	22.361019	23.779001	-3.826763	3.921515	0.000007	4.171163	10.369319	15.409152	0.419599	0.401945	-3.952985

Subsets and Splits