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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	H21	20	20	40	50	30	-1.033569	0.864522	1.212493	1.201837	1.542665	5.841654	1.620447	-1.033569	1.212493	0.119573	1.444413	1.150404	0.741985	1.99442	2.18085	-0.911356
7,649	train	H1	H21	20	20	40	45	50	0.427607	-0.447332	-0.28894	-0.286488	0.456219	0.995675	0.42307	0.427607	0.447332	0.641811	0.082076	0.159983	0.198963	0.050174	0.041057	0.465168
7,649	train	H0	H21	30	30	40	33.333333	43.333333	1.277487	-1.338461	-1.039727	-1.029224	1.833035	2.554162	1.917353	1.277487	1.338461	0.151821	1.059301	1.525294	1.796293	0.098723	0.075161	1.433129
7,649	train	H1	H21	30	30	40	33.333333	50	0.8919	-0.953058	-0.887043	-0.868901	0.767283	2.229442	0.800728	-0.868901	0.953058	0.312771	0.75499	0.79005	0.904727	0.228811	0.145885	1.009425
7,649	train	H0	H21	50	50	40	48	48	-0.00223	0.31865	-0.457117	-0.463811	3.060216	4.597723	3.248881	-0.463811	0.457117	0.197022	0.215121	0.002315	0.101635	1.600518	1.66523	-0.350188
7,649	train	H1	H21	50	50	40	42	42	1.036635	-1.131855	-0.811251	-0.814339	1.630559	2.242684	1.553999	-0.814339	1.131855	0.243819	0.663148	1.105036	1.273724	0.018286	0.034378	1.165494
7,649	train	H0	H21	75	75	40	40	32	-1.43709	1.34511	1.630664	1.64579	2.898432	4.023851	2.839546	1.64579	1.630664	0.160596	2.708624	2.166064	1.816469	2.772193	2.719379	-1.40307
7,649	train	H1	H21	75	75	40	36	44	2.196476	-2.126151	-2.219519	-2.268461	5.160349	5.183843	5.163609	-2.268461	2.219519	0.028729	5.145917	4.974357	4.558189	3.145666	3.222114	2.187184
7,649	train	H0	H21	100	100	40	43	39	-0.940528	0.923097	0.883956	0.881467	0.876508	0.899925	0.886408	-0.940528	0.923097	0.336886	0.776984	0.852509	0.851852	0.370293	0.403901	-0.960336
7,649	train	H1	H21	100	100	40	43	43	-0.260844	0.430902	-0.129101	-0.129142	1.447502	8.73449	1.862087	-0.129142	0.430902	0.033037	0.016678	0.008861	0.186903	0.680992	0.746366	-0.458103
7,649	train	H0	H21	150	150	40	37.333333	42.666667	0.442998	-0.439291	-0.51519	-0.513639	0.328802	2.553868	0.28479	-0.513639	0.51519	0.465634	0.263825	0.176017	0.192765	0.212211	0.182747	0.457262
7,649	train	H1	H21	150	150	40	39.333333	36	-0.437091	0.268625	0.852738	0.853581	2.080675	2.1585	1.990586	0.853581	0.852738	0.369615	0.7286	0.215864	0.072087	1.932004	1.808519	-0.281447
7,649	train	H0	H21	200	200	40	41.5	39.5	-1.631121	1.655966	1.541123	1.542888	2.538261	5.636874	2.675918	-1.631121	1.655966	0.084028	2.380505	2.502124	2.75263	1.037273	0.896567	-1.727776
7,649	train	H1	H21	200	200	40	38.5	38	0.246679	-0.181286	-0.448537	-0.448113	0.644897	1.987952	0.534298	-0.448113	0.448537	0.574911	0.200806	0.057175	0.032666	0.43693	0.42026	0.189618
7,649	train	H0	H21	300	300	40	40.333333	33.666667	-1.548338	1.398746	1.90174	1.909885	4.715668	11.475813	4.33148	1.909885	1.90174	0.009413	3.647662	2.299872	1.957069	4.30797	4.151439	-1.456197
7,649	train	H1	H21	300	300	40	39.666667	42	0.73479	-0.62316	-0.845283	-0.844057	0.737755	1.252602	0.761718	-0.844057	0.845283	0.517098	0.712432	0.56428	0.388232	0.652353	0.681186	0.647826
7,649	train	H0	H21	500	500	40	37.4	42.6	0.381919	-0.327278	-0.530111	-0.529952	0.544054	3.088338	0.442866	-0.529952	0.530111	0.378205	0.280849	0.118271	0.107006	0.418653	0.370691	0.339903
7,649	train	H1	H21	500	500	40	43.4	41.6	-0.235895	0.272733	0.20987	0.209657	0.057415	0.070642	0.058563	0.209657	0.272733	0.777294	0.043956	0.062747	0.074376	0.017542	0.018256	-0.282848
7,649	train	H0	H21	1,000	1,000	40	37.3	39.9	0.859606	-0.713105	-1.21518	-1.215279	2.264564	2.188514	2.278221	0.859606	1.21518	0.320104	1.476903	0.873366	0.508519	2.210603	2.228959	0.741011
7,649	train	H1	H21	1,000	1,000	40	41.1	38.5	-0.024749	0.163642	-0.267524	-0.267718	0.818481	0.831819	0.846785	-0.024749	0.267524	0.654822	0.071673	0.000078	0.026781	0.473484	0.465915	-0.169713
7,649	train	H0	H21	20	20	50	50	40	0.043937	0.092975	-0.419608	-0.423964	1.76655	3.183882	1.610646	-0.423964	0.419608	0.364134	0.179745	0.006178	0.008624	0.833225	0.690047	-0.068289
7,649	train	H1	H21	20	20	50	65	65	-0.587998	0.67928	0.516882	0.521643	0.573276	0.575936	0.573566	-0.587998	0.67928	0.464725	0.272111	0.377498	0.463911	0.122179	0.132718	-0.731089
7,649	train	H0	H21	30	30	50	46.666667	46.666667	0.18439	-0.064393	-0.483164	-0.482262	1.482724	1.520226	1.463178	-0.482262	0.483164	0.481144	0.232577	0.063224	0.004133	0.770506	0.755818	0.086633
7,649	train	H1	H21	30	30	50	46.666667	50	0.206774	-0.233106	-0.204938	-0.202729	0.042976	0.076271	0.042417	-0.202729	0.233106	0.802844	0.041099	0.058116	0.05401	0.000005	0.002511	0.249667
7,649	train	H0	H21	50	50	50	44	54	0.508527	-0.22903	-0.821729	-0.822722	2.544655	5.66279	2.376992	-0.822722	0.821729	0.12922	0.676871	0.180446	0.052319	1.881265	1.734045	0.242018
7,649	train	H1	H21	50	50	50	52	52	-0.341002	0.278822	0.409857	0.409787	0.229624	0.315988	0.223315	0.409787	0.409857	0.767606	0.167925	0.10459	0.077523	0.36024	0.356566	-0.295508
7,649	train	H0	H21	75	75	50	49.333333	49.333333	0.378176	-0.516033	-0.215721	-0.214546	0.35937	1.025193	0.410216	-0.214546	0.516033	0.588548	0.04603	0.155323	0.265764	0.060011	0.06527	0.540941
7,649	train	H1	H21	75	75	50	46.666667	44	1.005026	-1.139588	-0.657092	-0.656682	2.597096	5.061494	2.238924	-0.656682	1.139588	0.167349	0.431232	1.169056	1.30167	0.010133	0.002135	1.178691
7,649	train	H0	H21	100	100	50	55	50	-1.415683	1.629933	1.010968	1.007486	3.801641	4.094075	3.681515	1.007486	1.629933	0.07975	1.015027	2.109198	2.664116	0.019004	0.003582	-1.752139
7,649	train	H1	H21	100	100	50	49	47	-0.51598	0.721331	0.297951	0.297414	0.933843	2.142598	0.806154	0.297414	0.721331	0.448641	0.088455	0.417094	0.522371	0.066158	0.05794	-0.757683
7,649	train	H0	H21	150	150	50	46.666667	48.666667	0.363558	-0.528509	-0.105877	-0.105642	0.727698	1.884121	0.841348	0.363558	0.528509	0.573415	0.01116	0.115602	0.279192	0.204938	0.225357	0.563029
7,649	train	H1	H21	150	150	50	50.666667	53.333333	0.219031	0.093651	-0.620849	-0.624525	3.14926	3.360272	3.218913	-0.624525	0.620849	0.199996	0.390031	0.039484	0.008764	2.008084	2.005283	-0.095948
7,649	train	H0	H21	200	200	50	49	56.5	1.747023	-2.017047	-1.3136	-1.316966	5.778148	6.019069	5.680077	1.747023	2.017047	0.033328	1.734399	3.234094	4.06682	0.003946	0.007569	2.128111
7,649	train	H1	H21	200	200	50	50	50.5	0.680449	-0.731277	-0.527402	-0.526482	0.781294	1.633994	0.688895	0.680449	0.731277	0.440344	0.277183	0.525191	0.534845	0.001068	0.004928	0.771613
7,649	train	H0	H21	300	300	50	49	54	1.056637	-0.950142	-1.187161	-1.187777	1.612268	4.905663	1.535027	-1.187777	1.187161	0.178837	1.410815	0.979717	0.902837	1.33647	1.268829	1.007949
7,649	train	H1	H21	300	300	50	52.666667	57.666667	0.255429	0.067529	-0.643299	-0.643682	2.6293	2.856111	2.663361	-0.643682	0.643299	0.264033	0.414326	0.037309	0.004606	1.874425	1.959261	-0.069829
7,649	train	H0	H21	500	500	50	50.8	51	0.710556	-0.932068	-0.273101	-0.272902	3.162329	3.785081	2.983929	-0.272902	0.932068	0.22493	0.074476	0.544936	0.868878	0.511137	0.484355	0.980243
7,649	train	H1	H21	500	500	50	51.4	48.4	0.506073	-0.645308	-0.247426	-0.247812	1.024927	1.056574	1.003839	0.506073	0.645308	0.495083	0.061411	0.277223	0.416411	0.131728	0.129016	0.682247
7,649	train	H0	H21	1,000	1,000	50	47.9	51.6	2.213561	-2.40927	-1.80671	-1.806226	6.193316	6.927127	6.382452	2.213561	2.40927	0.011343	3.262452	4.809576	5.804052	0.302052	0.303532	2.531955
7,649	train	H1	H21	1,000	1,000	50	48	52.3	2.425749	-2.001141	-2.919163	-2.92736	10.556256	15.816078	10.946799	-2.92736	2.919163	0.001237	8.569435	6.302179	4.006139	10.725575	10.862498	2.107378
7,649	train	H0	H22	20	20	0	0	0	-0.459852	0.459852	0.288538	0.282	0.382478	1.1133	0.278699	0.282	0.459852	0.641423	0.079524	0.181376	0.209838	0.007915	0.041178	-0.46571
7,649	train	H1	H22	20	20	0	0	0	0.270501	-0.270501	0.155174	0.153833	0.359533	5.261634	0.82463	0.153833	0.270501	0.153611	0.023665	0.000254	0.072833	0.365451	0.580464	0.273947
7,649	train	H0	H22	30	30	0	0	0	-0.177413	0.177413	0.667047	0.665081	1.243278	1.433001	1.237233	0.665081	0.667047	0.538689	0.442333	0.132235	0.031332	1.113989	1.094514	-0.17891
7,649	train	H1	H22	30	30	0	0	0	0.340042	-0.340042	-0.395092	-0.388704	0.151319	0.294724	0.151119	0.340042	0.395092	0.731665	0.151091	0.149612	0.115081	0.083776	0.06574	0.342911
7,649	train	H0	H22	50	50	0	0	0	0.544612	-0.544612	-1.035293	-1.041414	2.119578	3.243992	1.765475	0.544612	1.035293	0.355514	1.084543	0.492303	0.295673	1.652221	1.512343	0.547355
7,649	train	H1	H22	50	50	0	0	0	1.130586	-1.130586	-1.247859	-1.255158	1.648817	5.227857	1.576827	1.130586	1.247859	0.155853	1.57542	1.259735	1.277644	1.054181	0.925834	1.136282
7,649	train	H0	H22	75	75	0	0	0	-0.441651	0.441651	0.432579	0.428862	0.242213	0.933321	0.202753	0.428862	0.441651	0.659817	0.183922	0.218423	0.194626	0.111036	0.159689	-0.440166
7,649	train	H1	H22	75	75	0	0	0	-0.336406	0.336406	-0.072432	-0.071929	0.867006	1.016455	0.673681	-0.071929	0.336406	0.714023	0.005174	0.052551	0.112967	0.208533	0.169354	-0.335275
7,649	train	H0	H22	100	100	0	0	0	2.924736	-2.924736	-2.445107	-2.491466	9.620579	12.081036	8.680155	-2.491466	2.924736	0.003367	6.207404	8.537026	8.641609	2.107775	2.480791	2.932076
7,649	train	H1	H22	100	100	0	0	0	-0.970025	0.970025	0.178777	0.177629	2.307424	1.982527	2.787007	-0.970025	0.970025	0.248204	0.031552	0.404018	0.941599	0.452903	0.412586	-0.97246
7,649	train	H0	H22	150	150	0	0	0	-0.855908	0.855908	1.110972	1.111192	1.359239	1.587801	1.289366	1.111192	1.110972	0.391258	1.234748	0.871857	0.732224	1.20261	1.148339	-0.857338
7,649	train	H1	H22	150	150	0	0	0	-0.335441	0.335441	0.245922	0.244859	0.352213	1.236484	0.121442	0.244859	0.335441	0.736869	0.059956	0.162277	0.112507	0.007866	0.019029	-0.336002
7,649	train	H0	H22	200	200	0	0	0	-2.416656	2.416656	2.036933	2.042934	5.040476	7.746762	5.878695	-2.416656	2.416656	0.015534	4.17358	5.031382	5.859863	1.167201	1.107059	-2.419683
7,649	train	H1	H22	200	200	0	0	0	-0.519832	0.519832	0.430152	0.429181	0.186416	2.920022	0.272257	-0.519832	0.519832	0.404121	0.184197	0.160454	0.270049	0.059611	0.037732	-0.520483
7,649	train	H0	H22	300	300	0	0	0	-0.8563	0.8563	0.38579	0.385494	1.865677	3.159227	1.260053	-0.8563	0.8563	0.367721	0.148605	0.619817	0.733321	0.041232	0.023796	-0.857015
7,649	train	H1	H22	300	300	0	0	0	-1.102168	1.102168	0.90778	0.905551	1.315959	1.509015	1.225414	0.905551	1.102168	0.269989	0.820023	1.144069	1.214907	0.220707	0.258347	-1.103088
7,649	train	H0	H22	500	500	0	0	0	-0.979715	0.979715	0.490665	0.489745	1.276891	2.367445	1.480585	-0.979715	0.979715	0.326985	0.23985	0.672962	0.959781	0.01843	0.024303	-0.980205
7,649	train	H1	H22	500	500	0	0	0	0.038978	-0.038978	0.430301	0.429612	0.780375	0.891192	0.867738	0.038978	0.430301	0.647997	0.184566	0.017443	0.001519	0.61652	0.599861	0.038998
7,649	train	H0	H22	1,000	1,000	0	0	0	-0.385885	0.385885	0.03512	0.035114	0.947946	2.823074	0.511481	-0.385885	0.385885	0.419716	0.001233	0.103567	0.148877	0.100918	0.084936	-0.385982
7,649	train	H1	H22	1,000	1,000	0	0	0	-1.694084	1.694084	1.558922	1.559754	2.539438	3.422804	2.903375	-1.694084	1.694084	0.090169	2.432833	2.453038	2.87096	1.002581	0.966357	-1.694508
7,649	train	H0	H22	20	20	10	5	10	0.267775	-0.267238	-0.363161	-0.354164	0.19358	1.235801	0.137569	0.267775	0.363161	0.744431	0.125432	0.065387	0.070854	0.076388	0.029726	0.27382
7,649	train	H1	H22	20	20	10	5	10	-1.261377	1.274639	1.045831	1.061068	1.939282	3.801355	1.643731	-1.261377	1.274639	0.188172	1.125865	1.648545	1.638504	0.230738	0.510763	-1.316006
7,649	train	H0	H22	30	30	10	10	16.666667	-0.247809	0.258444	0.215453	0.212217	0.050396	0.525535	0.062204	0.212217	0.258444	0.792715	0.045036	0.047343	0.066504	0.044875	0.021711	-0.262787
7,649	train	H1	H22	30	30	10	23.333333	10	0.064162	-0.133153	0.527582	0.523136	1.748307	2.931738	2.116431	0.064162	0.527582	0.347075	0.273671	0.03763	0.015722	1.346033	1.377973	0.114558
7,649	train	H0	H22	50	50	10	8	10	-0.173835	0.150828	0.690189	0.692979	2.018032	4.337417	1.580366	-0.173835	0.690189	0.227259	0.48022	0.103041	0.022669	1.40917	1.255279	-0.158006
7,649	train	H1	H22	50	50	10	6	6	-0.79728	0.816947	0.445878	0.440972	0.968943	0.9039	0.967552	0.440972	0.816947	0.412099	0.194456	0.467301	0.667341	0.00144	0.000721	-0.820206
7,649	train	H0	H22	75	75	10	2.666667	6.666667	0.279866	-0.292695	0.222634	0.22264	1.343972	1.822393	1.103937	0.22264	0.292695	0.575815	0.049568	0.019161	0.08547	0.532676	0.459888	0.294143
7,649	train	H1	H22	75	75	10	10.666667	4	-1.181656	1.133238	2.067565	2.104603	6.583929	6.854117	6.91699	2.104603	2.067565	0.031477	4.429353	2.494107	1.292628	6.954588	6.97198	-1.1518
7,649	train	H0	H22	100	100	10	13	8	-0.625488	0.625365	0.540818	0.537085	0.367285	0.374908	0.391815	0.537085	0.625365	0.521661	0.288461	0.353511	0.393533	0.108296	0.113923	-0.640788
7,649	train	H1	H22	100	100	10	9	8	-0.004262	0.011417	-0.148074	-0.14723	0.095242	0.08201	0.107476	-0.004262	0.148074	0.947681	0.021677	0.004638	0.00013	0.056985	0.050551	-0.011677
7,649	train	H0	H22	150	150	10	14.666667	11.333333	0.373009	-0.406782	0.178697	0.177713	1.546496	1.639179	1.417668	0.373009	0.406782	0.492218	0.031582	0.047319	0.164716	0.5856	0.503403	0.41548
7,649	train	H1	H22	150	150	10	11.333333	12	-0.588389	0.589169	0.831987	0.830221	0.890938	1.194432	0.810734	0.830221	0.831987	0.5486	0.689267	0.426184	0.346961	0.846731	0.787238	-0.59986
7,649	train	H0	H22	200	200	10	15	11	-0.841005	0.841033	1.003903	1.002007	1.044201	1.07825	1.018228	-0.841005	1.003903	0.390482	1.004017	0.795968	0.708417	0.85966	0.884081	-0.858743
7,649	train	H1	H22	200	200	10	12	11.5	-1.47223	1.51809	0.79352	0.791103	3.078602	3.068272	3.465234	-1.47223	1.51809	0.122233	0.625843	1.550596	2.30681	0.042112	0.03222	-1.545467
7,649	train	H0	H22	300	300	10	13	12.333333	0.661892	-0.68369	-0.106915	-0.106787	1.915139	2.371728	1.593952	0.661892	0.68369	0.45069	0.011403	0.276637	0.465576	0.308774	0.279334	0.69561
7,649	train	H1	H22	300	300	10	9.333333	13	-0.856575	0.771611	2.177647	2.232705	13.53742	14.582104	12.416019	2.232705	2.177647	0.002013	4.98497	1.65827	0.59576	10.804515	10.666601	-0.781861
7,649	train	H0	H22	500	500	10	10.8	9	-1.847	1.877822	1.079992	1.078675	4.598607	5.165594	4.877503	-1.847	1.877822	0.056689	1.16354	2.641837	3.531919	0.008443	0.00798	-1.905703
7,649	train	H1	H22	500	500	10	7.4	6.8	0.082179	-0.071024	-0.107317	-0.107197	0.019666	0.058087	0.012167	0.082179	0.107317	0.942835	0.011491	0.021674	0.005044	0.009062	0.00844	0.071708
7,649	train	H0	H22	1,000	1,000	10	11.8	9.8	-0.63796	0.634087	0.519624	0.519139	0.48339	0.534468	0.417534	-0.63796	0.634087	0.51956	0.269505	0.406855	0.402602	0.066398	0.060434	-0.644023
7,649	train	H1	H22	1,000	1,000	10	13	10.6	-2.342519	2.29446	2.942969	2.952132	9.140779	9.262986	9.121225	2.952132	2.942969	0.010456	8.715086	6.667928	5.267059	8.131485	8.088719	-2.333131
7,649	train	H0	H22	20	20	20	25	15	0.555719	-0.591402	-0.25977	-0.258682	0.437111	6.508748	0.768425	0.555719	0.591402	0.089318	0.066916	0.134662	0.335244	0.078708	0.155108	0.597589
7,649	train	H1	H22	20	20	20	10	20	-2.302724	2.302532	1.453738	1.533983	7.888482	8.17572	7.450165	-2.302724	2.302532	0.013908	2.353104	4.648417	5.563594	0.191755	0.054797	-2.459627
7,649	train	H0	H22	30	30	20	30	26.666667	0.051845	-0.058373	0.027651	0.027353	0.037661	0.082793	0.047101	0.027353	0.058373	0.952737	0.000748	0.000202	0.003384	0.064574	0.064557	0.059269
7,649	train	H1	H22	30	30	20	23.333333	13.333333	-0.678983	0.678716	0.693875	0.685645	0.476184	0.546953	0.485881	0.685645	0.693875	0.479584	0.470109	0.447828	0.458688	0.34079	0.333292	-0.706972
7,649	train	H0	H22	50	50	20	16	18	-0.53725	0.493458	0.689924	0.687591	0.51636	0.532693	0.52321	0.687591	0.689924	0.615751	0.472781	0.347437	0.243317	0.570692	0.517604	-0.501882
7,649	train	H1	H22	50	50	20	32	12	-0.553491	0.481234	1.335348	1.337776	5.169456	5.835694	4.833577	1.337776	1.335348	0.089208	1.789645	0.662742	0.234796	4.276392	4.132357	-0.500312
7,649	train	H0	H22	75	75	20	17.333333	16	0.276374	-0.233198	-0.587991	-0.587055	1.000036	2.98591	0.705281	-0.587055	0.587991	0.393803	0.344634	0.094138	0.05246	0.603308	0.498724	0.240497
7,649	train	H1	H22	75	75	20	26.666667	24	1.143103	-1.256496	-0.66576	-0.662321	2.050315	2.049384	2.185393	1.143103	1.256496	0.195222	0.438669	1.102608	1.579793	0.012115	0.004776	1.295284
7,649	train	H0	H22	100	100	20	15	22	-1.23764	1.256723	0.793259	0.796955	2.771769	4.705347	2.104098	-1.23764	1.256723	0.193385	0.635137	1.462153	1.591895	0.00037	0.019004	-1.300631
7,649	train	H1	H22	100	100	20	14	22	-0.721219	0.792318	0.43761	0.435704	0.427334	2.785815	0.748987	-0.721219	0.792318	0.410231	0.189838	0.350171	0.628412	0.000049	0.003401	-0.823488
7,649	train	H0	H22	150	150	20	21.333333	16.666667	0.026603	-0.044714	0.144839	0.144039	0.217222	0.325227	0.15282	0.144039	0.144839	0.926436	0.020747	0.000015	0.001802	0.117066	0.12085	0.042852
7,649	train	H1	H22	150	150	20	17.333333	15.333333	1.064427	-1.017024	-0.996683	-0.997286	1.650169	6.90741	1.142939	-0.997286	1.017024	0.074908	0.994578	1.484615	1.034821	0.518584	0.672564	1.038704
7,649	train	H0	H22	200	200	20	21	18.5	-1.355269	1.294544	1.888445	1.901231	4.773692	5.937336	4.46543	1.901231	1.888445	0.107237	3.614679	2.28182	1.682605	4.569521	4.466466	-1.344167
7,649	train	H1	H22	200	200	20	21.5	18.5	-2.012619	2.052156	1.515596	1.518963	4.902591	5.305499	4.654642	-2.012619	2.052156	0.035157	2.307248	3.682707	4.217767	0.2108	0.275111	-2.106546
7,649	train	H0	H22	300	300	20	18.666667	23	0.056313	-0.105345	0.243881	0.244003	0.389412	0.758557	0.499263	0.056313	0.243881	0.779088	0.059538	0.003499	0.01082	0.338592	0.350103	0.107213
7,649	train	H1	H22	300	300	20	16.333333	22	-0.621157	0.679953	0.18148	0.181311	0.887826	1.04939	1.204645	-0.621157	0.679953	0.485303	0.032874	0.191244	0.46346	0.157493	0.143204	-0.6978
7,649	train	H0	H22	500	500	20	23.2	20.6	-0.417283	0.346975	0.969148	0.969606	2.393833	2.592444	2.204321	0.969606	0.969148	0.332153	0.940135	0.311605	0.121298	2.025031	1.961817	-0.360991
7,649	train	H1	H22	500	500	20	18	18.4	-0.83585	0.792836	1.184464	1.187012	1.463032	7.806725	1.707483	1.187012	1.184464	0.05018	1.408996	1.082576	0.628793	1.668949	1.834478	-0.815819
7,649	train	H0	H22	1,000	1,000	20	18.1	21.5	-1.222242	1.233032	1.102581	1.104147	1.325246	2.044913	1.495113	1.104147	1.233032	0.202955	1.219141	1.296038	1.522981	0.454175	0.435148	-1.273177
7,649	train	H1	H22	1,000	1,000	20	20.2	19.5	-1.54286	1.55576	1.471633	1.471616	2.4072	2.349954	2.413676	1.471616	1.55576	0.10854	2.165653	2.378928	2.421616	0.979262	0.979044	-1.604791

Subsets and Splits