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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
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7,649	train	H1	H22	20	20	30	40	30	-1.110059	0.969451	1.223741	1.22494	1.605761	3.992062	1.566034	1.22494	1.223741	0.262323	1.500478	1.094877	0.938076	1.694204	1.55329	-0.992763
7,649	train	H0	H22	30	30	30	30	16.666667	0.523242	-0.563425	-0.225174	-0.223585	0.718541	0.852167	0.649917	0.523242	0.563425	0.572349	0.04999	0.203667	0.298281	0.095556	0.067157	0.564595
7,649	train	H1	H22	30	30	30	20	30	0.55223	-0.453867	-0.991121	-0.974081	1.595897	1.815147	1.74796	-0.974081	0.991121	0.417287	0.948834	0.488286	0.197817	1.462263	1.409074	0.470316
7,649	train	H0	H22	50	50	30	28	28	0.786873	-0.778868	-0.762237	-0.762787	0.632371	0.699256	0.630281	0.786873	0.778868	0.416434	0.581844	0.641458	0.604519	0.240294	0.223455	0.812623
7,649	train	H1	H22	50	50	30	28	28	-0.118232	0.125863	0.000199	0.000198	0.078001	0.358579	0.105875	-0.118232	0.125863	0.891394	0	0.003092	0.016765	0.014689	0.026787	-0.136541
7,649	train	H0	H22	75	75	30	20	32	0.536492	-0.364296	-1.334484	-1.34182	6.194486	7.166349	5.802954	-1.34182	1.334484	0.054942	1.80048	0.512516	0.130964	4.707127	4.454278	0.381487
7,649	train	H1	H22	75	75	30	24	25.333333	-0.594442	0.769644	-0.409725	-0.41217	6.56742	7.175176	6.901587	-0.41217	0.769644	0.03172	0.169884	0.079099	0.595993	3.076251	3.066928	-0.79209
7,649	train	H0	H22	100	100	30	28	33	-0.21011	0.261208	-0.00958	-0.009506	0.317936	0.298999	0.317849	-0.009506	0.261208	0.782584	0.00009	0.025441	0.069652	0.067762	0.068242	-0.275954
7,649	train	H1	H22	100	100	30	39	35	-1.143048	1.262645	0.612416	0.609914	2.778338	3.485948	3.082487	-1.143048	1.262645	0.185106	0.371995	0.966672	1.603815	0.159414	0.164799	-1.325198
7,649	train	H0	H22	150	150	30	32	28	1.541888	-1.765203	-0.485264	-0.48808	9.76959	10.194068	9.256646	1.541888	1.765203	0.009771	0.238222	1.826692	3.118598	1.123932	1.0204	1.826886
7,649	train	H1	H22	150	150	30	26.666667	37.333333	0.494008	-0.318851	-1.004637	-1.003159	2.180375	2.216506	2.308154	0.494008	1.004637	0.315348	1.006328	0.404455	0.10052	2.006771	1.99587	0.339084
7,649	train	H0	H22	200	200	30	21.5	33.5	1.948125	-1.797694	-2.625192	-2.625777	8.51352	8.647471	8.363186	-2.625777	2.625192	0.015274	6.894707	4.505682	3.221525	8.052004	8.06034	1.879598
7,649	train	H1	H22	200	200	30	35.5	24	0.529088	-0.66857	0.430301	0.429588	6.246373	6.908671	5.559241	0.529088	0.66857	0.062062	0.184546	0.137562	0.444812	2.24365	2.147558	0.704442
7,649	train	H0	H22	300	300	30	32	29.333333	0.295349	-0.341301	0.00429	0.004291	0.788385	1.45854	0.633529	0.295349	0.341301	0.691872	0.000018	0.063513	0.114597	0.200139	0.180879	0.35472
7,649	train	H1	H22	300	300	30	29	32.666667	0.472934	-0.394599	-0.620853	-0.61946	0.421482	0.637303	0.443321	0.472934	0.620853	0.676134	0.38373	0.266204	0.154733	0.388388	0.410619	0.417744
7,649	train	H0	H22	500	500	30	30.8	27.6	0.444697	-0.543638	-0.0709	-0.070866	0.663973	2.033036	0.999043	0.444697	0.543638	0.565578	0.005022	0.082722	0.292251	0.221844	0.233245	0.565778
7,649	train	H1	H22	500	500	30	33	30.2	-2.213288	2.301844	1.912649	1.914214	4.697579	4.543851	5.023971	1.914214	2.301844	0.01487	3.664214	4.442146	5.306199	0.955825	1.033806	-2.435529
7,649	train	H0	H22	1,000	1,000	30	27	29.7	0.032478	-0.013138	-0.015599	-0.015593	0.025321	0.525284	0.002335	0.032478	0.015599	0.913302	0.000243	0.003236	0.000136	0.000557	0.00039	0.01228
7,649	train	H1	H22	1,000	1,000	30	30.6	31.6	-1.154626	1.137036	1.357983	1.360821	2.006114	2.292991	1.924425	1.360821	1.357983	0.231485	1.851834	1.357957	1.293701	1.685005	1.684074	-1.196542
7,649	train	H0	H22	20	20	40	50	25	-0.695167	0.867575	0.430812	0.435825	1.527353	4.784633	1.373278	0.435825	0.867575	0.188264	0.189944	0.564546	0.774678	0.025161	0.001928	-0.912402
7,649	train	H1	H22	20	20	40	45	65	0.186612	-0.125748	-0.125646	-0.125432	0.102073	1.513637	0.065559	-0.125432	0.125748	0.679127	0.015733	0.030294	0.01581	0.041713	0.015354	0.111968
7,649	train	H0	H22	30	30	40	23.333333	50	1.111818	-0.97161	-1.399753	-1.372584	2.122172	2.114542	2.122605	-1.372584	1.399753	0.286003	1.883988	1.315602	0.919625	1.783648	1.678499	1.066931
7,649	train	H1	H22	30	30	40	53.333333	50	0.095868	-0.098053	-0.162376	-0.161291	0.089027	0.611468	0.073067	-0.161291	0.162376	0.893802	0.026015	0.007596	0.002961	0.013448	0.007177	0.052823
7,649	train	H0	H22	50	50	40	38	40	1.020406	-1.106444	-0.614841	-0.614654	2.352189	2.912938	2.197573	1.020406	1.106444	0.23735	0.3778	0.904583	1.192604	0.047748	0.027775	1.181636
7,649	train	H1	H22	50	50	40	54	28	-2.303737	2.193951	2.641135	2.630471	7.04165	7.055387	7.068782	-2.303737	2.641135	0.015277	6.919377	5.909265	4.820347	6.030654	6.298377	-2.425748
7,649	train	H0	H22	75	75	40	38.666667	34.666667	-0.148987	0.045802	0.445568	0.444276	0.891201	0.91216	0.882441	-0.148987	0.445568	0.643251	0.197381	0.045719	0.002532	0.757131	0.758085	-0.057205
7,649	train	H1	H22	75	75	40	44	34.666667	-1.422143	1.184845	2.043997	2.089991	7.818144	8.395605	7.59617	2.089991	2.043997	0.022414	4.368064	2.415029	1.421115	7.526049	7.407256	-1.289822
7,649	train	H0	H22	100	100	40	41	43	-0.33404	0.146682	0.599789	0.599174	0.650502	0.718405	0.786566	-0.33404	0.599789	0.674838	0.359009	0.176639	0.024575	0.750731	0.761058	-0.165679
7,649	train	H1	H22	100	100	40	40	43	0.026944	0.220312	-0.477856	-0.478332	1.625664	1.552664	1.748915	-0.478332	0.477856	0.417088	0.228802	0.009118	0.05062	1.095511	1.019057	-0.239543
7,649	train	H0	H22	150	150	40	35.333333	46.666667	0.519123	-0.685561	0.074396	0.075212	3.755822	7.505347	3.13402	0.519123	0.685561	0.057421	0.005657	0.241896	0.462719	1.01836	0.889101	0.73629
7,649	train	H1	H22	150	150	40	42	37.333333	-1.318881	1.443745	1.022405	1.020406	2.073151	1.909231	2.121411	1.020406	1.443745	0.11818	1.041228	1.616852	2.088152	0.078199	0.1333	-1.562458
7,649	train	H0	H22	200	200	40	34	36.5	-0.957605	0.891231	1.09986	1.104344	1.282397	1.803505	1.253853	-0.957605	1.09986	0.338616	1.219576	0.961319	0.804265	1.146089	1.072214	-0.956903
7,649	train	H1	H22	200	200	40	39	38	-0.381314	0.563687	-0.001833	-0.001827	0.737655	2.696958	1.057911	-0.381314	0.563687	0.440744	0.000003	0.075909	0.319333	0.273384	0.294094	-0.614009
7,649	train	H0	H22	300	300	40	38	39	0.682801	-0.68132	-0.678226	-0.677051	0.472814	0.466388	0.479091	0.682801	0.68132	0.464277	0.458398	0.451303	0.458144	0.212394	0.221184	0.731822
7,649	train	H1	H22	300	300	40	41.666667	46.666667	-0.067656	0.205698	-0.011434	-0.011448	0.001761	3.098233	0.058041	-0.011448	0.205698	0.376726	0.000131	0.000146	0.042731	0.017768	0.023087	-0.221913
7,649	train	H0	H22	500	500	40	40.2	42.6	2.010344	-2.011458	-1.772328	-1.773447	4.320062	4.894939	4.15088	2.010344	2.011458	0.030114	3.145115	4.058208	4.026388	0.895997	0.927002	2.168592
7,649	train	H1	H22	500	500	40	42.4	41.2	-0.52261	0.601841	0.383076	0.382536	0.44849	1.294588	0.3785	-0.52261	0.601841	0.518331	0.146334	0.258895	0.362669	0.003221	0.011621	-0.64592
7,649	train	H0	H22	1,000	1,000	40	37.8	40.4	-0.344178	0.280147	0.445687	0.446018	0.209996	0.776252	0.240924	-0.344178	0.445687	0.760679	0.198932	0.164494	0.080263	0.250465	0.26042	-0.30459
7,649	train	H1	H22	1,000	1,000	40	39.4	41.7	-0.382553	0.492159	0.352413	0.35265	0.128119	0.156007	0.146681	0.35265	0.492159	0.596753	0.124362	0.117095	0.24274	0.042377	0.045607	-0.529076
7,649	train	H0	H22	20	20	50	60	50	-1.195532	1.131851	1.193513	1.224451	1.499868	1.699268	1.499453	-1.195532	1.193513	0.188517	1.499281	1.511691	1.41268	1.638885	1.705973	-1.314978
7,649	train	H1	H22	20	20	50	55	50	-0.506508	0.588138	0.537579	0.530136	0.29191	3.766607	0.282496	0.530136	0.588138	0.287794	0.281044	0.279922	0.367157	0.352583	0.304594	-0.655547
7,649	train	H0	H22	30	30	50	46.666667	63.333333	1.445478	-1.363934	-1.538101	-1.526679	2.345598	2.343241	2.345932	-1.526679	1.538101	0.118652	2.330747	2.023747	1.671424	1.524135	1.512818	1.560456
7,649	train	H1	H22	30	30	50	46.666667	46.666667	-1.9312	2.116983	1.48091	1.510517	4.9141	5.69435	5.084076	-1.9312	2.116983	0.018239	2.281661	3.785074	4.602301	0.007955	0.015697	-2.360736
7,649	train	H0	H22	50	50	50	56	44	-1.32122	1.344151	1.162954	1.164491	1.833327	4.371111	1.941521	1.164491	1.344151	0.131427	1.35604	1.514155	1.841713	0.423631	0.334951	-1.5085
7,649	train	H1	H22	50	50	50	38	36	-0.267213	0.293792	0.175115	0.173738	0.102176	0.229731	0.123477	-0.267213	0.293792	0.754789	0.030185	0.049374	0.08606	0.007387	0.006018	-0.312331
7,649	train	H0	H22	75	75	50	52	53.333333	0.138019	-0.270531	0.106937	0.106225	0.743362	1.403569	0.652391	0.106225	0.270531	0.704698	0.011284	0.018412	0.051572	0.377805	0.313536	0.255606
7,649	train	H1	H22	75	75	50	54.666667	53.333333	-0.593008	0.754214	0.524796	0.520936	0.299767	4.653919	0.37086	0.520936	0.754214	0.198965	0.271374	0.334996	0.576536	0.109461	0.050422	-0.857507
7,649	train	H0	H22	100	100	50	57	44	-1.929122	1.607078	2.183776	2.196852	5.031647	5.99068	5.120315	-1.929122	2.183776	0.070274	4.826159	3.852137	2.658161	4.578984	4.683237	-1.810139
7,649	train	H1	H22	100	100	50	48	49	-0.25351	0.370093	-0.058605	-0.058249	0.979681	1.149894	0.88875	-0.058249	0.370093	0.641225	0.003393	0.051825	0.138009	0.280182	0.255869	-0.408515
7,649	train	H0	H22	150	150	50	46.666667	48	0.427089	-0.477751	-0.231112	-0.230543	0.671956	2.566096	0.515776	0.427089	0.477751	0.463464	0.05315	0.191376	0.213909	0.051784	0.020795	0.509025
7,649	train	H1	H22	150	150	50	45.333333	44.666667	-1.174158	1.635115	0.367776	0.367335	5.327186	10.660883	6.432153	0.367335	1.635115	0.013708	0.134935	1.168892	2.681453	1.278461	1.507831	-1.766354
7,649	train	H0	H22	200	200	50	47.5	46.5	0.185446	-0.239044	-0.121264	-0.120979	0.038683	0.616646	0.064214	-0.120979	0.239044	0.799571	0.014636	0.02287	0.053343	0.00518	0.007342	0.253902
7,649	train	H1	H22	200	200	50	51	51.5	-1.373625	1.537809	1.141223	1.143206	2.115769	2.049095	2.150867	1.143206	1.537809	0.088798	1.306921	1.896634	2.377503	0.195646	0.206448	-1.701774
7,649	train	H0	H22	300	300	50	48.333333	52.666667	0.297574	-0.365789	-0.147816	-0.148132	0.320584	0.623711	0.287641	-0.148132	0.365789	0.689674	0.021943	0.090079	0.124415	0.040884	0.028201	0.399297
7,649	train	H1	H22	300	300	50	48.666667	49.666667	-1.654701	1.630932	1.692886	1.706244	2.91456	3.264164	2.925622	1.706244	1.692886	0.072841	2.911269	2.732789	2.6692	1.883377	1.944908	-1.793827
7,649	train	H0	H22	500	500	50	50	49.8	0.261629	-0.394564	0.046128	0.046111	1.020337	1.240709	0.942822	0.261629	0.394564	0.624121	0.002126	0.060335	0.147719	0.362264	0.332984	0.429854
7,649	train	H1	H22	500	500	50	58.2	49	-2.383082	2.400278	2.516884	2.513484	6.363803	8.827349	6.32345	2.513484	2.516884	0.007214	6.317604	5.685167	5.774238	4.545196	4.39107	-2.686779
7,649	train	H0	H22	1,000	1,000	50	51.4	54.4	1.58171	-1.469054	-1.651352	-1.65223	2.732464	3.063697	2.729999	1.58171	1.651352	0.101521	2.729864	2.552567	2.141332	1.836503	1.885796	1.637523
7,649	train	H1	H22	1,000	1,000	50	49.3	47.2	-1.886514	2.132234	1.57472	1.574163	3.735511	4.010726	3.972847	1.574163	2.132234	0.019274	2.477989	3.423592	4.555935	0.36374	0.369472	-2.340184
7,649	train	H0	H23	20	20	0	0	0	0.973803	-0.973803	-0.817153	-0.801768	0.894267	1.500574	0.961285	-0.801768	0.973803	0.324031	0.642832	0.844654	0.946504	0.122379	0.103716	0.986209
7,649	train	H1	H23	20	20	0	0	0	-0.676252	0.676252	0.224949	0.219702	1.192272	1.286905	1.092152	-0.676252	0.676252	0.493428	0.048269	0.282376	0.456454	0.101027	0.053291	-0.684867
7,649	train	H0	H23	30	30	0	0	0	-0.591377	0.591377	0.070122	0.070249	2.096881	6.403843	1.36407	-0.591377	0.591377	0.093533	0.004935	0.225761	0.348451	0.310521	0.177511	-0.596368
7,649	train	H1	H23	30	30	0	0	0	0.384395	-0.384395	0.014679	0.014564	1.146196	3.051108	0.729728	0.014564	0.384395	0.383812	0.000212	0.089068	0.146925	0.219061	0.134672	0.387639
7,649	train	H0	H23	50	50	0	0	0	-0.723851	0.723851	0.653611	0.647899	0.581325	1.141649	0.523243	0.647899	0.723851	0.466921	0.419773	0.530368	0.522382	0.198302	0.283084	-0.727498
7,649	train	H1	H23	50	50	0	0	0	0.716957	-0.716957	-1.096516	-1.094386	1.452757	1.482755	1.469852	-1.094386	1.096516	0.471175	1.19768	0.787761	0.512637	1.329877	1.327404	0.720569
7,649	train	H0	H23	75	75	0	0	0	-0.212368	0.212368	-0.441331	-0.439812	1.725351	1.667195	1.727229	-0.439812	0.441331	0.421635	0.193435	0.00112	0.045008	0.950622	0.874794	-0.211654
7,649	train	H1	H23	75	75	0	0	0	1.38885	-1.38885	-1.809697	-1.835206	3.762297	4.312751	3.621608	1.38885	1.809697	0.163523	3.36798	2.484163	1.933247	3.245465	3.15082	1.384182
7,649	train	H0	H23	100	100	0	0	0	-0.278546	0.278546	-0.646047	-0.647536	3.61501	3.523277	3.545103	-0.647536	0.646047	0.169899	0.419303	0.004971	0.077497	2.050828	1.954514	-0.279245
7,649	train	H1	H23	100	100	0	0	0	-0.838082	0.838082	-0.628099	-0.640555	11.066984	11.956535	9.815908	-0.838082	0.838082	0.007388	0.410311	0.107052	0.703123	4.952712	4.730978	-0.840185
7,649	train	H0	H23	150	150	0	0	0	0.53644	-0.53644	-0.540755	-0.538598	0.304761	0.305297	0.308876	0.53644	0.540755	0.591035	0.290087	0.293669	0.287465	0.142104	0.133155	0.537336
7,649	train	H1	H23	150	150	0	0	0	0.959735	-0.959735	-1.288072	-1.287331	1.780119	1.807184	1.767814	-1.287331	1.288072	0.336382	1.65722	1.206824	0.920601	1.579362	1.571277	0.961339
7,649	train	H0	H23	200	200	0	0	0	0.210182	-0.210182	-0.770085	-0.771624	1.802055	3.3905	1.502599	-0.771624	0.770085	0.335244	0.595404	0.164898	0.04415	1.260607	1.162997	0.210445
7,649	train	H1	H23	200	200	0	0	0	1.620907	-1.620907	-2.565679	-2.609114	8.516406	8.185068	8.817722	-2.609114	2.565679	0.012169	6.807475	4.417628	2.633777	8.755155	8.663812	1.622937
7,649	train	H0	H23	300	300	0	0	0	0.357027	-0.357027	-0.228779	-0.228828	0.07754	3.453071	0.155048	0.357027	0.357027	0.3269	0.052362	0.088415	0.127397	0.000563	0.000615	0.357325
7,649	train	H1	H23	300	300	0	0	0	-0.250578	0.250578	-1.393391	-1.416943	14.950332	22.308139	12.241953	-1.416943	1.393391	0.000056	2.007726	0.094215	0.062785	8.227283	8.009947	-0.250788
7,649	train	H0	H23	500	500	0	0	0	-0.639639	0.639639	0.648198	0.648152	0.860938	4.587434	0.444144	0.648152	0.648198	0.204623	0.4201	0.663155	0.4092	0.22863	0.27334	-0.639959
7,649	train	H1	H23	500	500	0	0	0	0.170585	-0.170585	-2.076893	-2.100691	16.652135	16.129041	16.504013	-2.100691	2.076893	0.000261	4.412903	0.849609	0.029107	12.741587	12.614403	0.17067
7,649	train	H0	H23	1,000	1,000	0	0	0	0.674118	-0.674118	-0.569213	-0.568574	0.473034	0.478064	0.455366	0.674118	0.674118	0.500129	0.323277	0.441847	0.454393	0.092012	0.099463	0.674286
7,649	train	H1	H23	1,000	1,000	0	0	0	-0.367454	0.367454	-1.518031	-1.525207	14.327357	13.879495	14.242656	-1.525207	1.518031	0.000808	2.326257	0.109674	0.135036	9.407955	9.313877	-0.367546
7,649	train	H0	H23	20	20	10	10	10	-0.440935	0.400267	0.285485	0.280508	0.430537	1.665026	0.265315	0.280508	0.400267	0.644737	0.078685	0.178107	0.15922	0.00016	0.026243	-0.4079
7,649	train	H1	H23	20	20	10	10	5	-0.372317	0.446543	-0.461377	-0.459221	3.645458	3.582109	3.722088	-0.459221	0.461377	0.15551	0.210884	0.004647	0.198488	1.85036	1.72212	-0.45067
7,649	train	H0	H23	30	30	10	20	16.666667	-0.763599	0.781739	0.252131	0.247898	2.046663	3.418268	1.657016	-0.763599	0.781739	0.331518	0.061453	0.420835	0.63345	0.202144	0.099759	-0.833562
7,649	train	H1	H23	30	30	10	20	26.666667	1.225336	-1.240055	-1.408653	-1.431961	2.055471	6.658276	2.143125	-1.431961	1.408653	0.083625	2.050513	2.086015	1.549082	1.864226	2.231344	1.276812
7,649	train	H0	H23	50	50	10	14	8	-1.106502	1.132922	0.985278	0.978808	1.008517	5.223197	1.225867	-1.106502	1.132922	0.156164	0.958066	1.017099	1.283812	0.374984	0.273993	-1.159248
7,649	train	H1	H23	50	50	10	6	10	-0.535484	0.601183	-0.525202	-0.524399	4.798454	5.64906	5.325214	-0.524399	0.601183	0.069766	0.274995	0.022015	0.362137	2.77983	2.769532	-0.599627
7,649	train	H0	H23	75	75	10	5.333333	12	-0.456591	0.443541	0.441577	0.439944	0.196292	0.30349	0.213769	-0.456591	0.443541	0.650253	0.193551	0.179563	0.199826	0.121397	0.11458	-0.45341
7,649	train	H1	H23	75	75	10	5.333333	4	0.388152	-0.360432	-1.254446	-1.265191	4.375314	4.548536	4.194811	-1.265191	1.254446	0.122775	1.600709	0.530905	0.12835	3.464687	3.308694	0.363577
7,649	train	H0	H23	100	100	10	11	10	-1.010988	1.016791	0.899844	0.895651	1.05182	1.218651	1.022299	-1.010988	1.016791	0.302778	0.80219	1.045289	1.036456	0.286554	0.263012	-1.030495
7,649	train	H1	H23	100	100	10	10	6	-2.630194	2.644609	1.902369	1.911452	7.610439	8.107542	7.856188	-2.630194	2.644609	0.007226	3.65365	5.96422	7.074468	0.198017	0.219119	-2.686231
7,649	train	H0	H23	150	150	10	10	10.666667	-0.256039	0.228138	0.704917	0.70502	0.769045	3.96883	1.166422	0.70502	0.704917	0.26485	0.497053	0.267282	0.052648	1.078301	1.240499	-0.233529
7,649	train	H1	H23	150	150	10	12	8.666667	1.839877	-1.798378	-2.200941	-2.23788	5.141832	5.159693	5.144593	-2.23788	2.200941	0.068201	5.008107	4.077335	3.246907	4.328466	4.286949	1.823679
7,649	train	H0	H23	200	200	10	10.5	10.5	1.814888	-1.819414	-1.435337	-1.434931	3.380218	3.440958	3.453167	1.814888	1.819414	0.064171	2.059026	2.976989	3.316196	0.418917	0.440179	1.850991
7,649	train	H1	H23	200	200	10	10.5	9	-1.255086	1.30422	0.292039	0.292218	4.759289	4.97279	4.847263	-1.255086	1.30422	0.088599	0.085391	0.922396	1.704926	0.824346	0.796935	-1.321529
7,649	train	H0	H23	300	300	10	8.666667	8.333333	0.772696	-0.787131	-0.651488	-0.651388	0.507173	0.450176	0.601283	0.772696	0.787131	0.424133	0.424306	0.486864	0.617426	0.109779	0.13065	0.799271
7,649	train	H1	H23	300	300	10	10.666667	9.333333	0.424804	-0.359054	-1.618262	-1.634289	8.30539	8.08762	8.119161	-1.634289	1.618262	0.017256	2.6709	0.732701	0.128459	6.664922	6.534859	0.36371
7,649	train	H0	H23	500	500	10	12.4	11	-0.242269	0.201107	0.920938	0.92186	2.62506	2.718716	2.402321	-0.242269	0.920938	0.300845	0.849826	0.202535	0.040806	2.103371	2.067906	-0.207185
7,649	train	H1	H23	500	500	10	9.2	10.6	0.350023	-0.278467	-1.772859	-1.78432	12.651397	15.859215	10.898793	-1.78432	1.772859	0.001212	3.183799	0.59677	0.077291	8.817134	8.618398	0.285063
7,649	train	H0	H23	1,000	1,000	10	10.2	9	-0.599595	0.58518	0.808733	0.808297	0.754664	2.048299	0.710271	-0.599595	0.808733	0.550896	0.653344	0.475441	0.342791	0.682806	0.635072	-0.596419
7,649	train	H1	H23	1,000	1,000	10	9.2	9.6	-0.585564	0.722953	-2.175835	-2.20126	37.548302	39.180012	37.314046	-0.585564	2.175835	0	4.845544	0.128275	0.523395	24.1562	24.119756	-0.735583

Subsets and Splits