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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	H28	20	20	20	20	15	0.594907	-0.717939	0.406929	0.410325	6.632008	7.063194	6.910152	0.594907	0.717939	0.031585	0.168366	0.056924	0.496963	2.392649	2.236369	0.716021
7,649	train	H1	H28	20	20	20	20	15	-0.475728	0.411794	0.940073	0.945934	1.480807	6.964196	1.947559	-0.475728	0.940073	0.073048	0.894792	0.545942	0.169454	1.964944	2.365975	-0.437229
7,649	train	H0	H28	30	30	20	16.666667	23.333333	0.284574	-0.215536	-0.571357	-0.566555	0.559312	2.388046	0.707264	-0.566555	0.571357	0.495864	0.320985	0.169951	0.046254	0.533459	0.593082	0.222313
7,649	train	H1	H28	30	30	20	13.333333	10	-0.445656	0.446804	0.868477	0.869855	1.329745	1.33588	1.49733	-0.445656	0.868477	0.472998	0.756648	0.450358	0.20049	1.501649	1.462534	-0.462442
7,649	train	H0	H28	50	50	20	16	26	1.095487	-0.992942	-1.758601	-1.799351	6.832423	7.769074	6.506444	-1.799351	1.758601	0.038649	3.237663	1.71726	0.985013	6.061483	5.827973	1.001461
7,649	train	H1	H28	50	50	20	24	32	-0.239671	0.246582	0.17784	0.177559	0.149769	1.448151	0.073094	-0.239671	0.246582	0.694288	0.031527	0.084772	0.060851	0.003667	0.017308	-0.251566
7,649	train	H0	H28	75	75	20	17.333333	24	-0.628274	0.742611	-0.211654	-0.210871	3.950442	5.334785	4.515616	-0.628274	0.742611	0.104579	0.044467	0.110414	0.551966	1.664037	1.773031	-0.743436
7,649	train	H1	H28	75	75	20	13.333333	25.333333	2.374217	-2.38471	-2.251892	-2.267556	5.542171	6.32461	5.716889	2.374217	2.38471	0.015317	5.141811	5.536587	5.713915	2.358758	2.360494	2.424789
7,649	train	H0	H28	100	100	20	19	21	0.598768	-0.618368	-0.435759	-0.435218	0.376187	1.188203	0.44628	0.598768	0.618368	0.529353	0.189415	0.283006	0.382038	0.00426	0.002068	0.628994
7,649	train	H1	H28	100	100	20	23	19	-0.002879	-0.031432	0.228189	0.228314	0.268963	1.040657	0.340944	0.228314	0.228189	0.791415	0.052128	0.011239	0.000906	0.280587	0.310763	0.028812
7,649	train	H0	H28	150	150	20	18	20	0.337701	-0.33312	-0.245801	-0.245014	0.213445	1.485576	0.137533	0.337701	0.33312	0.685603	0.060032	0.11871	0.110843	0.000596	0.005488	0.336361
7,649	train	H1	H28	150	150	20	23.333333	18.666667	-1.92763	1.880163	1.913733	1.926492	4.139925	6.187926	3.886628	-1.92763	1.913733	0.054932	3.711373	4.224835	3.547485	1.834403	1.997044	-1.919417
7,649	train	H0	H28	200	200	20	24	25	-0.763767	0.852589	0.353113	0.352154	1.292559	1.732915	1.4084	-0.763767	0.852589	0.385928	0.124012	0.439695	0.727175	0.084575	0.102416	-0.867026
7,649	train	H1	H28	200	200	20	17.5	22.5	0.241204	-0.252019	-0.231719	-0.231312	0.053674	0.629449	0.058875	0.241204	0.252019	0.7967	0.053505	0.04518	0.063476	0.016915	0.011911	0.25762
7,649	train	H0	H28	300	300	20	19	22.333333	2.230251	-2.210109	-2.227137	-2.235525	5.055695	8.754564	5.20736	2.230251	2.227137	0.024366	4.997574	4.838569	4.892769	2.765092	2.653132	2.251313
7,649	train	H1	H28	300	300	20	18.333333	15.666667	1.777014	-1.889511	-0.695236	-0.696073	6.577643	9.073135	8.065574	1.777014	1.889511	0.017725	0.484517	1.848693	3.578626	0.608996	0.586998	1.918767
7,649	train	H0	H28	500	500	20	17	20.2	-0.707558	0.74395	0.281615	0.281476	1.341875	1.590503	1.248396	-0.707558	0.74395	0.449546	0.079229	0.35372	0.553518	0.101062	0.081326	-0.756173
7,649	train	H1	H28	500	500	20	16.4	19.6	1.359724	-1.356518	-1.326567	-1.325749	1.815434	1.89631	1.896628	-1.325749	1.356518	0.167181	1.757611	1.725978	1.840824	0.890479	0.894862	1.381318
7,649	train	H0	H28	1,000	1,000	20	21.1	19.8	-0.524683	0.480378	0.771061	0.770722	0.848359	0.935743	0.78546	0.770722	0.771061	0.625194	0.594013	0.324954	0.230726	0.807499	0.815963	-0.488502
7,649	train	H1	H28	1,000	1,000	20	20	19.4	1.355952	-1.459126	-0.491573	-0.491333	3.061329	8.539606	5.123891	1.355952	1.459126	0.036082	0.241408	0.825732	2.130444	0.496269	0.517872	1.48224
7,649	train	H0	H28	20	20	30	20	25	0.077957	-0.117392	-0.147865	-0.14573	0.133452	3.422756	0.042751	0.077957	0.147865	0.330919	0.021237	0.001233	0.013725	0.017076	0.000409	0.119952
7,649	train	H1	H28	20	20	30	40	25	-0.703254	0.536282	1.042294	1.027819	1.642076	2.08681	1.727999	-0.703254	1.042294	0.421473	1.056412	0.630981	0.285785	2.26954	2.382688	-0.571849
7,649	train	H0	H28	30	30	30	30	40	1.29344	-1.334407	-1.139054	-1.130876	1.75357	1.791795	1.758557	1.29344	1.334407	0.16601	1.278881	1.689722	1.788025	0.264862	0.305058	1.385138
7,649	train	H1	H28	30	30	30	30	40	0.179285	-0.392586	0.247078	0.248182	1.303537	3.479138	1.571965	0.248182	0.392586	0.323478	0.061595	0.004492	0.154263	0.871492	0.888209	0.41024
7,649	train	H0	H28	50	50	30	30	36	0.379235	-0.593977	0.350191	0.353566	4.959664	5.811753	4.556936	0.379235	0.593977	0.102441	0.125009	0.075785	0.351801	2.039895	1.838842	0.613713
7,649	train	H1	H28	50	50	30	28	22	-0.391194	0.428533	0.404895	0.404603	0.187863	4.016617	0.165559	-0.391194	0.428533	0.259675	0.163704	0.116285	0.183339	0.116001	0.055885	-0.436535
7,649	train	H0	H28	75	75	30	26.666667	29.333333	-0.536026	0.728284	-0.24595	-0.245449	4.918525	5.025016	4.765938	-0.245449	0.728284	0.092276	0.060245	0.152354	0.533055	2.028889	1.850506	-0.735919
7,649	train	H1	H28	75	75	30	34.666667	45.333333	0.420488	-0.213927	-0.805739	-0.8024	2.009388	2.16796	2.033816	-0.8024	0.805739	0.361712	0.643846	0.204984	0.045668	1.589602	1.606319	0.223654
7,649	train	H0	H28	100	100	30	33	26	-0.539748	0.610248	0.245489	0.244856	0.691736	1.493562	0.824056	0.244856	0.610248	0.53085	0.059954	0.201529	0.371709	0.043995	0.057569	-0.62671
7,649	train	H1	H28	100	100	30	26	34	2.073508	-2.150081	-1.569019	-1.565272	5.328296	5.131667	5.36301	-1.565272	2.150081	0.027025	2.450077	3.865628	4.631754	0.197514	0.264839	2.211156
7,649	train	H0	H28	150	150	30	31.333333	32.666667	-0.136075	0.197691	-0.114365	-0.114486	0.618491	1.286648	0.50926	-0.114486	0.197691	0.732306	0.013107	0.013623	0.039045	0.188842	0.166105	-0.203203
7,649	train	H1	H28	150	150	30	37.333333	29.333333	-0.83994	0.804247	1.030662	1.02824	1.149113	1.412339	1.20353	-0.83994	1.030662	0.407558	1.057278	0.920755	0.646962	1.242571	1.187648	-0.828199
7,649	train	H0	H28	200	200	30	30	22	-2.052688	1.942811	2.238648	2.240742	5.02905	7.31531	5.023111	2.240742	2.238648	0.046701	5.020927	4.518524	3.779684	3.646144	4.05192	-1.988998
7,649	train	H1	H28	200	200	30	34	29	0.073318	-0.324347	0.809834	0.808666	5.626184	5.371475	5.702898	0.808666	0.809834	0.057761	0.653941	0.013628	0.105174	3.647347	3.553316	0.331285
7,649	train	H0	H28	300	300	30	29	29.666667	0.027835	-0.049783	0.144377	0.144084	0.303018	1.340484	0.213894	0.027835	0.144377	0.719543	0.02076	0.000038	0.002477	0.145557	0.10764	0.050621
7,649	train	H1	H28	300	300	30	30	30	0.166624	-0.385881	0.619447	0.62166	3.418771	14.355828	4.785889	0.62166	0.619447	0.002459	0.386462	0.020718	0.149055	2.623998	2.779853	0.400205
7,649	train	H0	H28	500	500	30	30.6	25	-1.580371	1.463373	2.015951	2.016985	4.990416	6.034829	4.704014	2.016985	2.015951	0.095178	4.068229	2.665448	2.141219	4.629866	4.543743	-1.494428
7,649	train	H1	H28	500	500	30	31.2	29.2	0.088042	-0.10184	-0.114635	-0.114734	0.3456	21.430927	0.015999	0.088042	0.114635	0.000086	0.013164	0.022256	0.010373	0.035766	0.017519	0.104084
7,649	train	H0	H28	1,000	1,000	30	30.5	32.7	0.503347	-0.391084	-0.738357	-0.737995	0.595991	6.849035	0.821153	-0.737995	0.738357	0.076868	0.544637	0.464558	0.152943	0.821972	0.882919	0.401176
7,649	train	H1	H28	1,000	1,000	30	32.5	28.6	0.442763	-0.778461	0.785061	0.785304	9.145761	19.078344	11.561484	0.785304	0.785061	0.000263	0.616702	0.000065	0.606415	5.744646	5.833749	0.797519
7,649	train	H0	H28	20	20	40	35	50	-0.455977	0.562789	0.144391	0.144305	1.345737	1.375922	1.380244	0.144305	0.562789	0.501515	0.020824	0.163779	0.317569	0.177777	0.134757	-0.575173
7,649	train	H1	H28	20	20	40	40	30	0.589051	-0.819159	0.122865	0.122719	5.252186	5.167346	5.207062	0.122719	0.819159	0.074012	0.01506	0.184288	0.672492	1.717529	1.534177	0.76982
7,649	train	H0	H28	30	30	40	36.666667	46.666667	-0.117467	0.240647	-0.095068	-0.093751	0.48655	1.611889	0.561105	-0.117467	0.240647	0.656697	0.008789	0.004211	0.057706	0.13716	0.237078	-0.240948
7,649	train	H1	H28	30	30	40	46.666667	33.333333	-1.49832	1.333622	1.797308	1.817307	3.984829	4.892128	4.060289	-1.49832	1.797308	0.131317	3.302603	2.551487	1.791734	4.827099	4.920842	-1.423303
7,649	train	H0	H28	50	50	40	46	44	0.163243	-0.286736	0.124802	0.124367	1.084517	2.143899	0.917668	0.124367	0.286736	0.543083	0.015467	0.04514	0.082078	0.34	0.278972	0.295971
7,649	train	H1	H28	50	50	40	32	42	1.1267	-1.087124	-1.188997	-1.185068	1.465829	10.716673	1.404694	-1.185068	1.188997	0.013361	1.404385	0.95522	1.183666	1.002395	0.685375	1.126613
7,649	train	H0	H28	75	75	40	36	41.333333	0.43042	-0.478995	-0.269861	-0.268937	0.603897	5.518431	0.405422	-0.268937	0.478995	0.13754	0.072327	0.244434	0.229118	0.016807	0.002605	0.480705
7,649	train	H1	H28	75	75	40	38.666667	30.666667	-0.277753	0.177826	0.714682	0.716149	2.08189	4.670333	2.315636	0.716149	0.714682	0.197591	0.51287	0.215551	0.031575	1.885634	1.962631	-0.1907
7,649	train	H0	H28	100	100	40	40	45	0.303567	-0.253318	-0.40504	-0.404637	0.245774	1.097491	0.274183	-0.404637	0.40504	0.77768	0.163731	0.128968	0.064075	0.19997	0.228077	0.26374
7,649	train	H1	H28	100	100	40	25	39	1.323334	-1.431713	-0.867032	-0.873906	2.742697	3.131346	2.938223	1.323334	1.431713	0.138751	0.763712	1.451548	2.050243	0.003845	0.002824	1.480459
7,649	train	H0	H28	150	150	40	43.333333	40	1.556017	-1.655954	-1.262122	-1.272323	3.062181	3.236361	3.053524	1.556017	1.655954	0.085338	1.618805	2.416721	2.755173	0.20914	0.174731	1.720519
7,649	train	H1	H28	150	150	40	46	37.333333	-0.958765	0.630089	1.548047	1.550274	4.873267	11.236293	5.412407	1.550274	1.548047	0.010514	2.40335	1.2553	0.39705	5.173725	5.32223	-0.669425
7,649	train	H0	H28	200	200	40	42.5	40.5	-0.236075	0.229448	0.330701	0.330668	0.208235	0.484393	0.182601	0.330668	0.330701	0.811921	0.109342	0.056517	0.052634	0.199728	0.189084	-0.237948
7,649	train	H1	H28	200	200	40	43.5	34	-2.789855	2.629808	2.937527	2.956645	8.749496	8.928404	8.742412	-2.789855	2.937527	0.005933	8.741747	8.259281	6.937022	5.93275	5.992124	-2.751488
7,649	train	H0	H28	300	300	40	39.666667	41.666667	-0.682085	1.020976	-0.119298	-0.11916	6.951866	7.104133	6.950121	-0.11916	1.020976	0.03096	0.014199	0.373583	1.042493	2.49579	2.567684	-1.050048
7,649	train	H1	H28	300	300	40	37.333333	43.666667	2.391105	-2.905305	-1.04457	-1.053102	20.578617	22.406378	22.325476	2.391105	2.905305	0.000014	1.109024	4.693992	8.476832	2.049222	1.929241	3.012368
7,649	train	H0	H28	500	500	40	38.2	37.8	0.876299	-0.84688	-0.843489	-0.844265	0.75303	0.912662	0.769901	-0.844265	0.84688	0.383237	0.712783	0.710463	0.717244	0.321716	0.313641	0.871947
7,649	train	H1	H28	500	500	40	43.4	36.6	-0.761863	0.410231	1.306503	1.306081	2.962024	23.244016	3.959964	-0.761863	1.306503	0.000036	1.705847	0.979913	0.168367	3.586243	3.746433	-0.428661
7,649	train	H0	H28	1,000	1,000	40	38.8	37.5	-0.108316	0.057427	0.185635	0.185582	0.046281	0.654239	0.074815	0.185582	0.185635	0.883911	0.034441	0.026921	0.003298	0.080231	0.084914	-0.059705
7,649	train	H1	H28	1,000	1,000	40	38.3	42.1	3.632704	-4.207661	-2.182759	-2.183411	24.95785	46.796814	29.295455	3.632704	4.207661	0	4.767283	10.82607	17.745196	0.470593	0.537876	4.358826
7,649	train	H0	H28	20	20	50	55	40	-0.432863	0.175051	0.69922	0.691863	1.429014	1.458748	1.41616	0.691863	0.69922	0.492589	0.478674	0.146552	0.030479	1.588362	1.527641	-0.202397
7,649	train	H1	H28	20	20	50	55	60	0.425868	-0.426077	-0.362949	-0.3619	0.260615	0.301079	0.25574	0.425868	0.426077	0.661185	0.130972	0.163316	0.180734	0.002737	0.001821	0.438278
7,649	train	H0	H28	30	30	50	60	36.666667	-2.00705	1.784935	2.220872	2.216647	5.198885	5.669532	5.152209	-2.00705	2.220872	0.05672	4.913525	3.778332	3.200922	4.474446	4.436169	-1.905464
7,649	train	H1	H28	30	30	50	50	63.333333	1.67105	-1.696015	-1.577397	-1.5833	2.952053	2.937781	2.950279	-1.5833	1.696015	0.073896	2.506839	2.789015	2.887449	0.770695	0.80248	1.787255
7,649	train	H0	H28	50	50	50	50	54	1.878226	-2.136032	-1.411875	-1.4417	8.057645	7.994132	8.043057	-1.4417	2.136032	0.017926	2.078498	3.517173	4.589999	0.003222	0.007146	2.222685
7,649	train	H1	H28	50	50	50	48	46	0.903153	-1.148742	-0.405885	-0.403388	3.609876	3.930805	3.690465	0.903153	1.148742	0.157989	0.162722	0.787112	1.32392	0.45153	0.414068	1.20144
7,649	train	H0	H28	75	75	50	45.333333	56	1.384994	-1.284333	-1.467058	-1.466702	2.182327	2.206233	2.180447	-1.466702	1.467058	0.180737	2.151214	1.899013	1.648089	1.506975	1.495175	1.338489
7,649	train	H1	H28	75	75	50	42.666667	37.333333	-0.652428	0.592938	0.722793	0.720912	0.519715	2.082281	0.531788	-0.652428	0.722793	0.538878	0.519714	0.505873	0.351855	0.532943	0.670216	-0.61451
7,649	train	H0	H28	100	100	50	57	52	-0.502128	0.531295	0.401012	0.400369	0.431026	1.55375	0.384959	-0.502128	0.531295	0.572773	0.160295	0.285993	0.281965	0.019155	0.026746	-0.563973
7,649	train	H1	H28	100	100	50	46	49	0.792088	-1.180987	-0.24428	-0.243541	3.038112	8.627196	3.670516	0.792088	1.180987	0.034681	0.059312	0.536879	1.395593	0.75234	0.832021	1.241367
7,649	train	H0	H28	150	150	50	48	52.666667	1.090841	-1.074793	-1.012888	-1.012064	1.250403	1.709812	1.211947	-1.012064	1.074793	0.261995	1.024273	1.249131	1.155363	0.2974	0.360218	1.121688
7,649	train	H1	H28	150	150	50	41.333333	58	3.823028	-3.97434	-3.374514	-3.389682	16.44096	16.81707	16.58378	3.823028	3.97434	0.000038	11.489944	14.521659	15.929117	3.045476	3.143319	4.119625
7,649	train	H0	H28	200	200	50	48	46.5	-0.415487	0.090805	0.921858	0.92487	3.61863	4.187235	3.751246	-0.415487	0.921858	0.153259	0.855385	0.18386	0.00824	3.013399	3.08785	-0.098147
7,649	train	H1	H28	200	200	50	46.5	57	3.10621	-3.290722	-2.728078	-2.738076	10.29687	12.616131	10.603155	3.10621	3.290722	0.000507	7.497062	9.539104	10.857531	1.753502	1.759454	3.477235
7,649	train	H0	H28	300	300	50	50.333333	49.666667	0.012149	-0.352426	0.456371	0.457804	3.262463	3.273585	3.306103	0.457804	0.456371	0.191465	0.209584	0.001281	0.124148	1.879405	1.848706	0.369932
7,649	train	H1	H28	300	300	50	47	45.333333	0.127455	-0.430671	0.447494	0.447442	4.310246	4.176438	4.386685	0.447442	0.447494	0.111543	0.200204	0.005388	0.185446	2.266982	2.21091	0.452233
7,649	train	H0	H28	500	500	50	46.8	52	0.623586	-0.59439	-0.670281	-0.670166	0.456942	0.454809	0.457851	-0.670166	0.670281	0.536746	0.449122	0.423902	0.353238	0.334786	0.324005	0.61774
7,649	train	H1	H28	500	500	50	51.2	52.2	1.31861	-1.820356	-0.541979	-0.542333	9.45848	10.312339	9.815567	1.31861	1.820356	0.007389	0.294125	1.719958	3.314534	1.453971	1.448929	1.923654
7,649	train	H0	H28	1,000	1,000	50	50.5	49.2	-0.864288	0.705761	0.990756	0.990729	1.048168	2.386997	1.104207	0.990729	0.990756	0.461063	0.981544	0.8044	0.498086	1.057194	1.091878	-0.737097
7,649	train	H1	H28	1,000	1,000	50	48.5	49.8	3.227969	-4.218686	-1.539588	-1.540557	39.782363	49.212289	42.828802	-1.540557	4.218686	0	2.373314	9.826723	17.836779	4.0796	4.04936	4.410293
7,649	train	H0	H29	20	20	0	0	0	0.13525	-0.13525	-0.205588	-0.199978	0.100053	0.99559	0.047949	0.13525	0.205588	0.802319	0.039991	0.012848	0.0181	0.014862	0.000755	0.136973
7,649	train	H1	H29	20	20	0	0	0	-1.054953	1.054953	0.887391	0.882979	1.462203	3.446533	1.133432	-1.054953	1.054953	0.285343	0.779653	1.200449	1.119617	0.179864	0.38667	-1.068393
7,649	train	H0	H29	30	30	0	0	0	-0.221766	0.221766	1.187027	1.216939	5.612115	5.506897	5.702368	-0.221766	1.187027	0.057776	1.480941	0.429246	0.049129	4.475382	4.328522	-0.223638
7,649	train	H1	H29	30	30	0	0	0	0.960988	-0.960988	-0.742222	-0.734399	1.121229	1.68345	0.976542	-0.734399	0.960988	0.332497	0.539342	0.855006	0.921182	0.070296	0.132177	0.969097
7,649	train	H0	H29	50	50	0	0	0	-0.730745	0.730745	0.605715	0.599881	0.695316	1.633182	0.538823	0.599881	0.730745	0.462689	0.359857	0.546523	0.532487	0.107067	0.183009	-0.734426
7,649	train	H1	H29	50	50	0	0	0	-0.799683	0.799683	1.762533	1.817254	6.571096	6.326183	6.868643	-0.799683	1.762533	0.032247	3.302413	1.616039	0.641327	6.569162	6.486528	-0.803712
7,649	train	H0	H29	75	75	0	0	0	-0.47172	0.47172	0.759615	0.755903	0.655615	0.68557	0.720412	0.755903	0.759615	0.638259	0.571389	0.384013	0.222319	0.739371	0.735291	-0.470135
7,649	train	H1	H29	75	75	0	0	0	1.599339	-1.599339	-0.733181	-0.727843	2.794779	6.323291	4.419223	1.599339	1.599339	0.096898	0.529755	1.371332	2.571837	0.095572	0.131586	1.593963
7,649	train	H0	H29	100	100	0	0	0	-0.806318	0.806318	1.500544	1.509607	3.023908	3.202707	3.432263	1.509607	1.500544	0.17976	2.278912	1.364228	0.65066	3.419495	3.437836	-0.808342
7,649	train	H1	H29	100	100	0	0	0	1.619967	-1.619967	-1.624744	-1.633355	2.676029	5.249477	2.820968	-1.633355	1.624744	0.104369	2.667849	2.493344	2.629567	1.46417	1.364631	1.624032
7,649	train	H0	H29	150	150	0	0	0	0.480533	-0.480533	0.257626	0.257713	2.684049	3.196485	2.16786	0.480533	0.480533	0.338264	0.066416	0.070854	0.230754	0.908169	0.821879	0.481336
7,649	train	H1	H29	150	150	0	0	0	2.521135	-2.521135	-2.329624	-2.355832	5.784965	12.539112	6.465798	2.521135	2.521135	0.005747	5.549942	5.743247	6.385851	2.464003	2.343728	2.525347
7,649	train	H0	H29	200	200	0	0	0	-0.166069	0.166069	0.729224	0.727249	0.97556	1.056716	1.41358	0.727249	0.729224	0.493225	0.52889	0.229336	0.027585	1.225591	1.227084	-0.166277
7,649	train	H1	H29	200	200	0	0	0	0.70666	-0.70666	0.835008	0.838024	4.995302	13.383239	9.2632	0.70666	0.835008	0.003877	0.702285	0.012097	0.501525	4.422116	4.756988	0.707545
7,649	train	H0	H29	300	300	0	0	0	-1.154922	1.154922	1.021616	1.019644	1.450766	1.791269	1.335201	1.019644	1.154922	0.247728	1.039673	1.337862	1.334019	0.373335	0.425491	-1.155885
7,649	train	H1	H29	300	300	0	0	0	3.671069	-3.671069	-2.74964	-2.76341	11.437592	13.844475	14.380611	3.671069	3.671069	0.000239	7.636433	10.487727	13.564931	1.405505	1.381578	3.674132
7,649	train	H0	H29	500	500	0	0	0	1.360082	-1.360082	-2.119081	-2.128648	5.618619	5.86302	5.546891	-2.128648	2.119081	0.062446	4.53114	2.860051	1.850237	5.440531	5.34928	1.360763
7,649	train	H1	H29	500	500	0	0	0	1.572273	-1.572273	-0.770517	-0.772163	1.206495	16.509371	3.941435	1.572273	1.572273	0.000891	0.596236	0.99153	2.476564	0.040684	0.061522	1.57306
7,649	train	H0	H29	1,000	1,000	0	0	0	-2.312677	2.312677	1.327469	1.327315	6.267457	8.921167	7.203247	-2.312677	2.312677	0.020709	1.761764	3.926151	5.35213	0.002929	0.005038	-2.313256
7,649	train	H1	H29	1,000	1,000	0	0	0	2.591617	-2.591617	-1.130839	-1.131369	5.345316	12.411207	11.775274	2.591617	2.591617	0.002774	1.279997	2.979771	6.7336	0.301249	0.329589	2.592266

Subsets and Splits