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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	0	0	0	0.919703	-0.919703	-1.197595	-1.207252	1.737266	3.383475	1.619215	-1.207252	1.197595	0.336192	1.457458	1.057655	0.841645	1.385647	1.247157	0.931419
7,649	train	H1	H19	20	20	0	0	0	-0.703302	0.703302	1.051725	1.060788	1.742979	4.275574	1.495143	-0.703302	1.051725	0.233204	1.125272	0.67343	0.491726	1.720285	1.543385	-0.712262
7,649	train	H0	H19	30	30	0	0	0	-0.428748	0.428748	0.627399	0.625826	0.706533	5.190102	0.473835	-0.428748	0.627399	0.158395	0.391658	0.193879	0.182816	0.546601	0.418124	-0.432367
7,649	train	H1	H19	30	30	0	0	0	-0.591377	0.591377	-0.229455	-0.22783	2.797829	2.674613	2.951257	-0.22783	0.591377	0.228635	0.051907	0.067608	0.349021	1.076229	0.978771	-0.596368
7,649	train	H0	H19	50	50	0	0	0	0.213708	-0.213708	0.122023	0.120524	0.35501	0.297535	0.445051	0.120524	0.213708	0.800495	0.014526	0.004143	0.045501	0.224908	0.204707	0.214785
7,649	train	H1	H19	50	50	0	0	0	0.978922	-0.978922	-1.212254	-1.210485	1.500761	1.6938	1.497315	0.978922	1.212254	0.325187	1.465274	1.223458	0.958217	1.194423	1.142084	0.983854
7,649	train	H0	H19	75	75	0	0	0	0.159746	-0.159746	0.947716	0.961262	6.36854	6.820315	5.829459	0.159746	0.947716	0.054219	0.924026	0.069617	0.025481	3.818975	3.630576	0.159209
7,649	train	H1	H19	75	75	0	0	0	0.426616	-0.426616	-1.031529	-1.031866	2.0223	1.946622	2.067476	-1.031866	1.031529	0.355675	1.064747	0.467542	0.181712	1.82731	1.763269	0.425182
7,649	train	H0	H19	100	100	0	0	0	-1.678608	1.678608	2.302879	2.352247	6.264658	6.363052	6.283249	2.352247	2.302879	0.043213	5.533066	4.048512	2.82852	6.235237	6.15307	-1.68282
7,649	train	H1	H19	100	100	0	0	0	-2.233257	2.233257	1.469403	1.467727	5.451007	5.021298	5.990245	-2.233257	2.233257	0.025165	2.154222	3.847503	5.018252	0.04199	0.071488	-2.238862
7,649	train	H0	H19	150	150	0	0	0	-0.915808	0.915808	0.542497	0.539522	0.799981	1.765599	1.105763	-0.915808	0.915808	0.358965	0.291084	0.567047	0.838424	0.00062	0.000021	-0.917338
7,649	train	H1	H19	150	150	0	0	0	-1.373712	1.373712	0.089631	0.08975	5.107924	10.66176	7.032325	-1.373712	1.373712	0.013703	0.008055	0.703594	1.891495	1.792982	1.96458	-1.376008
7,649	train	H0	H19	200	200	0	0	0	1.073397	-1.073397	-0.833075	-0.832343	0.770292	4.381065	1.195651	1.073397	1.073397	0.223148	0.692795	0.796927	1.152115	0.128323	0.097087	1.074741
7,649	train	H1	H19	200	200	0	0	0	-1.25936	1.25936	0.290551	0.289565	3.633211	3.667364	4.223848	-1.25936	1.25936	0.121005	0.083848	0.792421	1.586683	0.622721	0.58932	-1.260937
7,649	train	H0	H19	300	300	0	0	0	-0.203948	0.203948	0.37398	0.373097	0.25648	0.919772	0.19786	-0.203948	0.37398	0.820654	0.139201	0.067753	0.041573	0.211173	0.182461	-0.204118
7,649	train	H1	H19	300	300	0	0	0	-1.319305	1.319305	1.133813	1.131587	1.711036	2.057112	1.741598	-1.319305	1.319305	0.1867	1.280489	1.673072	1.740841	0.413512	0.396753	-1.320406
7,649	train	H0	H19	500	500	0	0	0	-0.970736	0.970736	1.377928	1.377947	2.057014	2.073359	2.105554	1.377947	1.377928	0.331438	1.898738	1.396929	0.942319	2.049778	2.004288	-0.971222
7,649	train	H1	H19	500	500	0	0	0	-2.400892	2.400892	0.972856	0.974636	10.860049	10.202371	10.853895	-2.400892	2.400892	0.004396	0.949915	3.702036	5.773668	0.649261	0.586585	-2.402093
7,649	train	H0	H19	1,000	1,000	0	0	0	0.596832	-0.596832	-0.740712	-0.740157	0.554721	0.578987	0.555923	0.596832	0.740712	0.55052	0.547832	0.439108	0.356158	0.458467	0.449241	0.596982
7,649	train	H1	H19	1,000	1,000	0	0	0	-1.834948	1.834948	0.616665	0.616717	6.430131	5.65258	7.208326	-1.834948	1.834948	0.02721	0.38034	1.909604	3.368585	0.642718	0.617047	-1.835407
7,649	train	H0	H19	20	20	10	0	15	-0.472138	0.490084	-0.055778	-0.054988	1.676978	1.876633	1.52344	-0.472138	0.490084	0.466863	0.003024	0.094739	0.239159	0.423959	0.272743	-0.494341
7,649	train	H1	H19	20	20	10	5	0	-1.796212	1.794164	1.410572	1.391991	3.078649	4.492577	3.472894	-1.796212	1.794164	0.069329	1.937639	2.677445	3.256822	0.285846	0.260276	-1.816267
7,649	train	H0	H19	30	30	10	3.333333	3.333333	-0.890005	0.920959	0.086093	0.084819	2.620464	2.992197	2.986088	-0.890005	0.920959	0.224688	0.007194	0.3459	0.847656	0.696488	0.655264	-0.935439
7,649	train	H1	H19	30	30	10	13.333333	3.333333	-1.241479	1.260912	1.008307	1.008794	1.746231	2.188573	1.614235	-1.241479	1.260912	0.200157	1.017665	1.490393	1.592111	0.215265	0.287725	-1.281105
7,649	train	H0	H19	50	50	10	12	12	2.034492	-2.027742	-1.872027	-1.902844	4.35719	4.772286	4.201066	-1.902844	2.027742	0.039387	3.620815	4.286341	4.154147	1.533535	1.728358	2.06012
7,649	train	H1	H19	50	50	10	8	4	-1.460131	1.478921	1.065853	1.059797	2.063133	2.124862	2.412917	-1.460131	1.478921	0.135023	1.12317	1.675629	2.194585	0.097771	0.126916	-1.494584
7,649	train	H0	H19	75	75	10	12	9.333333	0.324788	-0.362822	0.408454	0.409695	3.294026	5.153654	2.679628	0.409695	0.408454	0.160885	0.16785	0.013515	0.12999	1.389386	1.224719	0.362982
7,649	train	H1	H19	75	75	10	4	2.666667	-3.11637	3.110872	2.735401	2.803378	9.242893	12.426771	9.884131	-3.11637	3.110872	0.001887	7.858927	9.095165	9.846082	2.436173	2.324906	-3.107516
7,649	train	H0	H19	100	100	10	10	7	-1.193751	1.201248	1.031452	1.025862	1.437267	1.833287	1.430697	-1.193751	1.201248	0.223836	1.052394	1.408986	1.445804	0.298677	0.281229	-1.216392
7,649	train	H1	H19	100	100	10	14	12	-2.428538	2.418443	2.247368	2.270414	5.827547	6.724926	5.979862	-2.428538	2.418443	0.013658	5.15478	5.816785	5.901259	2.033764	1.983006	-2.466145
7,649	train	H0	H19	150	150	10	10	15.333333	1.274484	-1.282669	-1.302568	-1.297215	1.686067	2.405134	1.750394	-1.297215	1.302568	0.191627	1.682767	1.574253	1.643218	0.912733	0.930697	1.305782
7,649	train	H1	H19	150	150	10	14.666667	6	-2.475501	2.50308	1.58018	1.57522	7.460193	7.083964	7.949948	-2.475501	2.50308	0.010901	2.481317	4.81288	6.291494	0.002306	0.010547	-2.545864
7,649	train	H0	H19	200	200	10	14	8	-1.348231	1.337977	1.291342	1.287496	1.968439	2.161574	1.854364	-1.348231	1.337977	0.173253	1.657646	1.970918	1.794251	0.780874	0.833051	-1.361824
7,649	train	H1	H19	200	200	10	12	13	-2.442314	2.428063	2.153795	2.170748	6.232467	6.810088	5.994954	-2.442314	2.428063	0.012907	4.712145	5.851384	5.927858	1.478153	1.667483	-2.486317
7,649	train	H0	H19	300	300	10	10.333333	7	-0.099343	0.09846	0.091746	0.091653	0.011702	0.279672	0.009946	0.091653	0.09846	0.919016	0.0084	0.003287	0.009836	0.005048	0.001255	-0.101674
7,649	train	H1	H19	300	300	10	9.666667	7	-1.333161	1.389533	0.160945	0.161273	6.579231	6.23779	6.608176	-1.333161	1.389533	0.036733	0.026009	0.882768	1.933784	1.443365	1.338556	-1.408082
7,649	train	H0	H19	500	500	10	12.2	9.8	-0.683692	0.668095	0.788874	0.788119	0.639751	0.750824	0.622695	0.788119	0.788874	0.497635	0.621132	0.644267	0.446778	0.49421	0.475302	-0.678216
7,649	train	H1	H19	500	500	10	10.8	8.8	-1.7566	1.842337	0.409532	0.409587	6.992613	10.804084	9.282419	-1.7566	1.842337	0.009646	0.167762	1.508811	3.399672	1.561876	1.646281	-1.867273
7,649	train	H0	H19	1,000	1,000	10	11.1	9.6	0.193621	-0.190796	0.02367	0.023696	0.677389	5.597966	0.216773	0.193621	0.190796	0.132895	0.000562	0.044542	0.036244	0.070605	0.056772	0.193364
7,649	train	H1	H19	1,000	1,000	10	8.4	12.1	-3.247788	3.37465	0.917835	0.918384	25.205058	23.961199	28.506405	-3.247788	3.37465	0.000001	0.843428	5.952032	11.417542	4.103634	4.019764	-3.425821
7,649	train	H0	H19	20	20	20	30	10	-0.460364	0.502239	0.048357	0.048842	0.983025	1.470885	1.222289	0.048842	0.502239	0.542729	0.002386	0.080778	0.252525	0.194533	0.20083	-0.549324
7,649	train	H1	H19	20	20	20	10	15	0.444525	-0.443321	-0.402624	-0.39285	0.172721	0.891541	0.196902	0.444525	0.443321	0.640441	0.154331	0.17682	0.195405	0.025201	0.00856	0.467082
7,649	train	H0	H19	30	30	20	26.666667	16.666667	0.571082	-0.306206	-1.375262	-1.487958	10.171488	10.480803	10.302426	-1.487958	1.375262	0.005792	2.214019	0.699738	0.094484	7.786709	7.743869	0.218438
7,649	train	H1	H19	30	30	20	20	23.333333	-0.978998	1.139838	0.007269	0.007173	5.862838	5.805653	5.899929	-0.978998	1.139838	0.052342	0.000051	0.515984	1.29662	1.979509	1.785164	-1.143226
7,649	train	H0	H19	50	50	20	16	18	-2.090941	2.041254	2.190847	2.275027	5.183957	5.657067	5.176292	-2.090941	2.190847	0.035502	5.175747	4.882138	4.219764	3.722279	3.934447	-2.10258
7,649	train	H1	H19	50	50	20	26	22	-0.410921	0.424161	0.165706	0.163523	0.436282	0.396988	0.445032	0.163523	0.424161	0.658164	0.02674	0.108043	0.182611	0.034124	0.018207	-0.44245
7,649	train	H0	H19	75	75	20	17.333333	18.666667	-0.823619	0.88916	0.402695	0.400441	1.150133	2.850766	1.390664	0.400441	0.88916	0.367779	0.160353	0.481841	0.790459	0.060121	0.095928	-0.900642
7,649	train	H1	H19	75	75	20	21.333333	24	-0.021666	0.07601	-0.550265	-0.55025	2.647254	6.211617	2.046047	-0.021666	0.550265	0.101756	0.302775	0.00864	0.005766	1.338909	1.111752	-0.073415
7,649	train	H0	H19	100	100	20	19	19	-0.385448	0.489418	-0.402109	-0.401777	3.484941	3.435857	3.414672	-0.401777	0.489418	0.181348	0.161425	0.028322	0.240544	1.66461	1.553986	-0.500743
7,649	train	H1	H19	100	100	20	20	13	-0.237986	0.252635	-0.100758	-0.101333	0.989307	4.669663	0.626961	-0.237986	0.252635	0.197647	0.010268	0.03323	0.065047	0.23991	0.184232	-0.261004
7,649	train	H0	H19	150	150	20	20.666667	18	0.337141	-0.350006	-0.309908	-0.309452	0.100979	1.46819	0.113863	0.337141	0.350006	0.689631	0.09576	0.069712	0.120436	0.029812	0.02073	0.35668
7,649	train	H1	H19	150	150	20	27.333333	24.666667	-1.333025	1.26399	1.703562	1.717644	3.726453	6.909639	3.353823	1.717644	1.703562	0.074834	2.9503	1.871274	1.604106	3.31579	3.177238	-1.325326
7,649	train	H0	H19	200	200	20	16	19	1.125045	-1.101566	-1.335873	-1.335065	1.856081	2.444167	1.817134	1.125045	1.335873	0.25944	1.782399	1.439473	1.210637	1.446685	1.395096	1.127717
7,649	train	H1	H19	200	200	20	21.5	21	-2.338776	2.363217	2.180106	2.194923	5.112339	9.374516	5.520912	-2.338776	2.363217	0.013851	4.817687	5.092894	5.621222	2.019277	1.892277	-2.461098
7,649	train	H0	H19	300	300	20	18.666667	19.666667	-0.139455	0.154714	-0.003735	-0.003727	0.150186	0.544527	0.107644	-0.003727	0.154714	0.872249	0.000014	0.012336	0.024325	0.022146	0.011581	-0.160803
7,649	train	H1	H19	300	300	20	17.666667	23	-1.432378	1.555753	0.609608	0.610301	3.216625	10.859031	4.880426	-1.432378	1.555753	0.012513	0.372467	1.138865	2.42824	0.393608	0.43689	-1.596568
7,649	train	H0	H19	500	500	20	18.4	22.8	0.183232	-0.121695	-0.534409	-0.534195	0.60099	3.456746	0.789375	-0.534195	0.534409	0.326416	0.285364	0.083564	0.014422	0.678856	0.756073	0.125007
7,649	train	H1	H19	500	500	20	20	22.2	-1.449157	1.522595	0.632329	0.631552	4.966717	5.029439	4.655416	-1.449157	1.522595	0.097519	0.398858	1.563306	2.32321	0.316217	0.27212	-1.578727
7,649	train	H0	H19	1,000	1,000	20	22.1	18.5	-0.245633	0.159519	0.890443	0.889941	2.528526	2.501818	2.481948	0.889941	0.890443	0.289103	0.791995	0.183771	0.025759	2.097505	2.077153	-0.166146
7,649	train	H1	H19	1,000	1,000	20	18.7	18.8	-3.250295	3.425324	1.695392	1.695623	15.333479	16.980073	18.67663	-3.250295	3.425324	0.000088	2.875137	7.338097	11.764842	0.523186	0.4971	-3.530741
7,649	train	H0	H19	20	20	30	30	50	0.540834	-0.599442	-0.385404	-0.383939	0.40486	0.463991	0.422735	0.540834	0.599442	0.53218	0.147409	0.233598	0.312609	0.003688	0.004102	0.624682
7,649	train	H1	H19	20	20	30	20	20	0.401441	-0.44867	-0.115016	-0.11582	0.904199	3.013165	0.676013	0.401441	0.44867	0.3896	0.013414	0.153324	0.201891	0.144482	0.071978	0.451393
7,649	train	H0	H19	30	30	30	43.333333	26.666667	-1.026105	0.893488	1.541494	1.534423	4.034124	5.80656	3.745072	1.534423	1.541494	0.12141	2.354453	1.269562	0.812258	3.924727	3.652945	-1.030384
7,649	train	H1	H19	30	30	30	33.333333	13.333333	-0.843166	0.828858	0.940326	0.930233	0.903282	3.287729	0.868433	0.930233	0.940326	0.349354	0.865333	0.699154	0.710623	0.874198	0.7573	-0.898232
7,649	train	H0	H19	50	50	30	36	24	0.005129	0.068698	-0.501462	-0.515905	1.996694	2.44372	2.177124	-0.515905	0.501462	0.3367	0.266158	0.037287	0.008134	1.222495	1.216711	-0.134689
7,649	train	H1	H19	50	50	30	40	34	-0.897026	1.003807	0.533292	0.526617	1.705469	1.943943	1.598894	-0.897026	1.003807	0.277352	0.277326	0.779206	1.030034	0.044967	0.003813	-1.086288
7,649	train	H0	H19	75	75	30	21.333333	32	1.125177	-1.007939	-1.526173	-1.525495	2.584589	5.514326	2.792832	-1.525495	1.526173	0.137784	2.327135	1.6892	0.991424	2.648745	2.868888	1.060556
7,649	train	H1	H19	75	75	30	17.333333	34.666667	0.778778	-0.769755	-0.693193	-0.688187	0.616181	0.654322	0.607565	-0.688187	0.769755	0.413474	0.473602	0.60135	0.589173	0.119572	0.124517	0.817796
7,649	train	H0	H19	100	100	30	35	38	2.009212	-2.035774	-1.696196	-1.695337	4.371581	4.429123	4.273185	2.009212	2.035774	0.028515	2.874166	3.958895	4.144725	0.630123	0.674648	2.190131
7,649	train	H1	H19	100	100	30	34	30	-0.487413	0.492407	0.354478	0.352158	0.320875	0.626951	0.303526	-0.487413	0.492407	0.597051	0.124015	0.19749	0.248089	0.010833	0.033584	-0.528646
7,649	train	H0	H19	150	150	30	29.333333	36.666667	-0.287278	0.300599	0.191026	0.192178	0.093758	0.514165	0.128471	-0.287278	0.300599	0.744515	0.036932	0.051841	0.093244	0.002032	0.000608	-0.32588
7,649	train	H1	H19	150	150	30	23.333333	32	-0.073688	0.26705	-0.704338	-0.702519	3.049325	5.579266	3.634236	-0.702519	0.704338	0.133974	0.493533	0.031064	0.072149	2.325218	2.398797	-0.279846
7,649	train	H0	H19	200	200	30	28	32.5	0.347277	-0.387627	-0.375283	-0.374601	0.18251	2.946044	0.14036	-0.374601	0.387627	0.400019	0.140326	0.092668	0.145315	0.088765	0.069551	0.404826
7,649	train	H1	H19	200	200	30	30.5	28.5	-1.540674	1.605995	1.117236	1.11693	3.529174	4.993879	2.988616	-1.540674	1.605995	0.09033	1.247532	2.42989	2.586799	0.030533	0.053235	-1.693661
7,649	train	H0	H19	300	300	30	29	27	-1.37339	1.34565	1.061977	1.062434	2.410005	2.765758	2.131946	-1.37339	1.34565	0.157046	1.128766	1.845584	1.818742	0.104103	0.094572	-1.415078
7,649	train	H1	H19	300	300	30	31	29.333333	-2.370537	2.610155	1.246696	1.248201	11.114187	11.231763	12.019723	-2.370537	2.610155	0.002454	1.558006	4.315525	6.844562	0.627987	0.59905	-2.724324
7,649	train	H0	H19	500	500	30	27.8	30.8	-0.007959	0.049873	-0.270138	-0.26997	0.675612	2.362707	0.483021	-0.007959	0.270138	0.500614	0.072884	0.001007	0.002632	0.307128	0.253351	-0.053112
7,649	train	H1	H19	500	500	30	29	34.4	-2.033311	2.194519	1.248833	1.258939	6.420706	7.661766	7.076418	-2.033311	2.194519	0.019973	1.584927	3.344681	4.841234	0.053783	0.052682	-2.326863
7,649	train	H0	H19	1,000	1,000	30	28.8	29.9	0.852477	-0.92329	-0.521674	-0.521373	1.022725	1.19316	1.162249	0.852477	0.92329	0.333214	0.27183	0.59394	0.849247	0.005107	0.00375	0.96766
7,649	train	H1	H19	1,000	1,000	30	30.2	29.9	-3.124335	3.273803	1.993976	1.995074	15.510022	15.454592	14.874	-3.124335	3.273803	0.000578	3.98032	8.537751	10.744601	0.03047	0.018054	-3.441879
7,649	train	H0	H19	20	20	40	50	30	-0.674741	0.569761	0.885968	0.892432	1.243743	1.817174	1.19375	0.892432	0.885968	0.528833	0.796435	0.507716	0.342417	1.671545	1.622733	-0.629788
7,649	train	H1	H19	20	20	40	45	35	-0.133347	0.291118	-0.278378	-0.279019	1.458636	2.043003	1.565765	-0.279019	0.291118	0.457087	0.077852	0.000628	0.09588	0.565492	0.594145	-0.333243
7,649	train	H0	H19	30	30	40	43.333333	40	0.026008	0.069007	-0.369632	-0.374342	1.533503	2.10865	1.427159	-0.374342	0.369632	0.489887	0.140132	0.005938	0.009653	0.904811	0.798588	-0.095665
7,649	train	H1	H19	30	30	40	33.333333	26.666667	0.449629	-0.477044	-0.313754	-0.310323	0.42602	2.283689	0.273009	0.449629	0.477044	0.515653	0.0963	0.213674	0.184847	0.001019	0.004312	0.471338
7,649	train	H0	H19	50	50	40	48	28	-2.016444	1.947924	2.192673	2.213773	4.986446	6.139322	4.949366	2.213773	2.192673	0.031761	4.900789	4.243327	3.833276	4.369168	4.185489	-2.147401
7,649	train	H1	H19	50	50	40	48	40	-0.587983	0.519159	0.608519	0.601837	0.362625	0.44143	0.364773	-0.587983	0.608519	0.550904	0.362208	0.304892	0.288722	0.312987	0.315335	-0.596407
7,649	train	H0	H19	75	75	40	45.333333	40	-1.019992	0.89126	1.178772	1.176245	1.446341	1.484758	1.453074	1.176245	1.178772	0.326615	1.383551	1.086059	0.812414	1.495645	1.566052	-0.980955
7,649	train	H1	H19	75	75	40	40	34.666667	-1.755741	1.716357	1.777037	1.797243	3.236294	4.6282	3.264831	1.797243	1.777037	0.071019	3.230084	2.97535	2.964396	2.122989	2.083877	-1.805354
7,649	train	H0	H19	100	100	40	36	41	1.662759	-1.81393	-1.078742	-1.078237	4.390976	7.999837	4.85711	1.662759	1.81393	0.046015	1.162595	2.139421	3.252686	0.001903	0.009771	1.943771
7,649	train	H1	H19	100	100	40	41	34	-0.699807	0.589086	0.901553	0.907736	1.103776	1.572261	1.038592	0.907736	0.901553	0.525903	0.823985	0.478654	0.355945	1.128948	1.067891	-0.634272
7,649	train	H0	H19	150	150	40	38.666667	42	-0.580604	0.591288	0.47098	0.47108	0.455325	1.819387	0.380174	0.47108	0.591288	0.522266	0.221916	0.346994	0.354777	0.03896	0.083191	-0.639857
7,649	train	H1	H19	150	150	40	38.666667	41.333333	-2.08088	2.043608	1.61136	1.623755	5.71862	6.939265	5.068275	-2.08088	2.043608	0.025455	2.636581	4.247432	4.227682	0.133251	0.262724	-2.234426
7,649	train	H0	H19	200	200	40	47.5	37.5	-0.841621	0.553716	1.379971	1.379327	3.362437	5.315798	3.721296	1.379327	1.379971	0.150081	1.902543	0.857463	0.318544	3.616238	3.926469	-0.618292
7,649	train	H1	H19	200	200	40	40.5	34	-2.372625	2.373443	2.321319	2.326538	5.51395	9.024595	5.741887	2.326538	2.373443	0.010528	5.412781	5.303431	5.674563	2.697898	2.571294	-2.558002
7,649	train	H0	H19	300	300	40	31.333333	37	1.026247	-1.021658	-0.86579	-0.86395	1.24847	2.016539	1.104604	1.026247	1.021658	0.276555	0.74641	1.067932	1.035851	0.153575	0.188049	1.088091
7,649	train	H1	H19	300	300	40	36.333333	41.666667	0.281901	-0.189163	-0.512878	-0.512224	0.485276	0.628351	0.554325	0.281901	0.512878	0.757931	0.262374	0.129629	0.034172	0.486866	0.497913	0.199188
7,649	train	H0	H19	500	500	40	41.2	39	0.202951	-0.145491	-0.322876	-0.322682	0.159986	0.131121	0.18433	0.202951	0.322876	0.879235	0.104124	0.067714	0.020157	0.163501	0.146912	0.151939
7,649	train	H1	H19	500	500	40	39.6	42.8	-2.247526	2.407349	1.699001	1.709428	6.146944	6.733257	6.525589	-2.247526	2.407349	0.009245	2.922145	4.593901	5.82828	0.127057	0.131887	-2.602852
7,649	train	H0	H19	1,000	1,000	40	36.7	36.3	-0.015704	-0.172927	0.718191	0.718768	3.904371	4.797346	3.564894	0.718768	0.718191	0.168226	0.516627	0.017655	0.029113	2.425745	2.31947	0.181225
7,649	train	H1	H19	1,000	1,000	40	40.6	40.2	-2.861271	3.103476	2.101327	2.103177	9.588854	15.198908	10.860363	-2.861271	3.103476	0.000812	4.423352	7.347847	9.665555	0.098422	0.077558	-3.348522

Subsets and Splits