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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	H25	20	20	50	50	45	0.669179	-0.57506	-0.785886	-0.786436	0.70795	0.741446	0.701179	-0.786436	0.785886	0.491565	0.618482	0.447682	0.330802	0.376185	0.359037	0.687822
7,649	train	H1	H25	20	20	50	30	40	0.769297	-0.668725	-0.991382	-0.988958	1.256219	1.729219	1.303549	-0.988958	0.991382	0.472823	0.978038	0.710597	0.446597	1.043184	1.120771	0.717893
7,649	train	H0	H25	30	30	50	56.666667	63.333333	0.415709	-0.123544	-0.634912	-0.633699	1.678648	5.965141	1.568208	-0.633699	0.634912	0.113319	0.401575	0.082479	0.015198	1.205424	1.049885	0.122702
7,649	train	H1	H25	30	30	50	46.666667	40	-0.175071	0.255223	0.071677	0.071986	0.08779	2.70528	0.151239	-0.175071	0.255223	0.439331	0.005182	0.016018	0.064823	0.00002	0.006407	-0.276307
7,649	train	H0	H25	50	50	50	50	54	0.046634	-0.032175	-0.120061	-0.118909	0.094888	0.52846	0.073059	-0.118909	0.120061	0.912596	0.014139	0.000686	0.000758	0.010937	0.003733	0.034609
7,649	train	H1	H25	50	50	50	42	50	-0.523831	0.60089	0.338569	0.33909	0.559002	0.821515	0.602475	-0.523831	0.60089	0.524568	0.114982	0.238121	0.36473	0.00005	0.00006	-0.636319
7,649	train	H0	H25	75	75	50	46.666667	49.333333	1.041711	-0.824892	-1.390646	-1.405475	3.313603	3.700855	3.210539	-1.405475	1.390646	0.200835	1.975359	1.061737	0.682067	2.899486	2.825391	0.885032
7,649	train	H1	H25	75	75	50	48	46.666667	-0.325756	0.654091	-0.283539	-0.283339	4.326855	4.756815	4.429949	-0.283339	0.654091	0.109156	0.080281	0.091244	0.430177	2.021704	2.07458	-0.688228
7,649	train	H0	H25	100	100	50	47	47	-0.179408	0.30192	-0.208756	-0.207855	1.771518	2.976492	1.569905	-0.207855	0.30192	0.395264	0.043204	0.027545	0.093901	0.668609	0.604866	-0.32071
7,649	train	H1	H25	100	100	50	50	51	0.848426	-0.732055	-1.029356	-1.032723	1.313054	1.623081	1.339343	-1.032723	1.029356	0.436507	1.066517	0.734028	0.536238	1.139	1.251751	0.778105
7,649	train	H0	H25	150	150	50	48	52.666667	0.803561	-0.580919	-1.117758	-1.118382	2.253609	2.781163	2.319973	-1.118382	1.117758	0.31349	1.250778	0.684939	0.33727	2.074477	2.122731	0.620489
7,649	train	H1	H25	150	150	50	44.666667	53.333333	0.947027	-0.695178	-1.171036	-1.16814	1.61289	6.358272	1.760758	-1.16814	1.171036	0.095423	1.364552	0.997667	0.478581	1.62445	1.897999	0.740971
7,649	train	H0	H25	200	200	50	43.5	49	1.227727	-1.444678	-0.70191	-0.70059	4.05981	4.050482	4.001535	-0.70059	1.444678	0.122868	0.490826	1.414401	2.083258	0.186729	0.163399	1.542849
7,649	train	H1	H25	200	200	50	47.5	53	0.299086	0.192959	-0.97815	-0.978354	6.10389	10.511678	6.743594	-0.978354	0.97815	0.014682	0.957176	0.106434	0.037246	4.616368	4.891268	-0.196721
7,649	train	H0	H25	300	300	50	47.333333	50.666667	1.455965	-1.670507	-0.981402	-0.980585	4.138329	4.217164	4.06807	1.455965	1.670507	0.075048	0.961546	2.210019	2.787577	0.017818	0.016129	1.780168
7,649	train	H1	H25	300	300	50	45.333333	52	2.127638	-2.026848	-2.225582	-2.22774	4.978451	5.962742	4.965432	-2.22774	2.225582	0.033058	4.962826	4.397645	4.113644	3.380004	3.346186	2.131375
7,649	train	H0	H25	500	500	50	50	52.4	0.957788	-0.818487	-1.127741	-1.126649	1.455512	1.462878	1.45038	-1.126649	1.127741	0.381318	1.269337	0.892853	0.668263	1.280589	1.277942	0.87547
7,649	train	H1	H25	500	500	50	49.6	51.6	0.301625	-0.023732	-0.666693	-0.666587	1.827722	2.342151	1.952603	-0.666587	0.666693	0.376702	0.444338	0.097049	0.000536	1.466988	1.459046	0.025943
7,649	train	H0	H25	1,000	1,000	50	47.6	50.1	0.497031	-0.338245	-0.822438	-0.821837	1.911142	3.072155	1.706127	-0.821837	0.822438	0.380633	0.675417	0.220806	0.114355	1.515368	1.44449	0.358776
7,649	train	H1	H25	1,000	1,000	50	50.7	49.2	-0.851672	1.115649	0.436009	0.436302	2.31116	3.696027	2.639618	0.436302	1.115649	0.236632	0.190359	0.615786	1.244951	0.27164	0.264498	-1.183447
7,649	train	H0	H26	20	20	0	0	0	0.784453	-0.784453	-1.600592	-1.692603	7.401003	7.529049	7.225552	-1.692603	1.600592	0.026977	2.864905	1.430834	0.615779	5.894249	5.72256	0.794446
7,649	train	H1	H26	20	20	0	0	0	-1.568905	1.568905	1.327064	1.318048	2.36611	3.019006	2.511237	-1.568905	1.568905	0.112085	1.737251	2.237937	2.484949	0.405009	0.409507	-1.588892
7,649	train	H0	H26	30	30	0	0	0	-0.310473	0.310473	-0.499757	-0.49695	2.32275	3.253257	2.826442	-0.49695	0.499757	0.243358	0.246959	0.0021	0.096136	1.554742	1.588307	-0.313093
7,649	train	H1	H26	30	30	0	0	0	-0.014784	0.014784	-0.09088	-0.089116	0.134448	0.795838	0.045332	-0.014784	0.09088	0.850462	0.007942	0.001007	0.000218	0.016116	0.002084	-0.014909
7,649	train	H0	H26	50	50	0	0	0	-1.123693	1.123693	1.074641	1.072519	1.433435	2.586473	1.29417	1.072519	1.123693	0.258749	1.150297	1.370539	1.26214	0.563194	0.753839	-1.129354
7,649	train	H1	H26	50	50	0	0	0	-0.565293	0.565293	0.105607	0.105195	1.539175	3.009028	0.996245	-0.565293	0.565293	0.390235	0.011066	0.228035	0.318794	0.171151	0.100406	-0.568141
7,649	train	H0	H26	75	75	0	0	0	0.667174	-0.667174	-0.70902	-0.705734	0.513764	2.534919	0.508227	0.667174	0.70902	0.469013	0.49806	0.412676	0.444247	0.269469	0.210242	0.664932
7,649	train	H1	H26	75	75	0	0	0	0.607035	-0.607035	-1.344242	-1.367815	4.368747	8.511213	3.689177	-1.367815	1.344242	0.036548	1.870917	0.77641	0.368001	3.319559	3.113536	0.604994
7,649	train	H0	H26	100	100	0	0	0	0.911384	-0.911384	-1.143987	-1.146269	1.536864	2.85904	1.353078	0.911384	1.143987	0.36089	1.313933	0.894841	0.829796	1.12176	1.033568	0.913671
7,649	train	H1	H26	100	100	0	0	0	0.395829	-0.395829	-1.412534	-1.442571	7.229422	11.319566	5.94748	0.395829	1.412534	0.010118	2.081011	0.573386	0.156476	4.929386	4.70314	0.396822
7,649	train	H0	H26	150	150	0	0	0	-0.469884	0.469884	0.020291	0.020197	0.237491	2.604202	0.835936	0.020197	0.469884	0.456753	0.000408	0.034829	0.220758	0.19234	0.242783	-0.470669
7,649	train	H1	H26	150	150	0	0	0	0.606989	-0.606989	-1.357024	-1.379965	5.334297	15.964782	3.6754	0.606989	1.357024	0.001153	1.904303	0.624711	0.368104	3.462171	3.25933	0.608003
7,649	train	H0	H26	200	200	0	0	0	-0.070061	0.070061	0.019578	0.019491	0.000455	0.747973	0.011846	-0.070061	0.070061	0.861866	0.00038	0.001365	0.004906	0.000482	0.003337	-0.070148
7,649	train	H1	H26	200	200	0	0	0	0.515507	-0.515507	-0.865438	-0.86722	1.42211	4.129263	0.999465	-0.86722	0.865438	0.24784	0.75207	0.320222	0.265613	0.971944	0.881497	0.516153
7,649	train	H0	H26	300	300	0	0	0	-0.335361	0.335361	0.685456	0.686928	1.24041	4.769086	0.762914	-0.335361	0.685456	0.189508	0.47187	0.156991	0.112389	0.78739	0.714398	-0.33564
7,649	train	H1	H26	300	300	0	0	0	0.780938	-0.780938	-0.678474	-0.6839	0.858226	22.138758	0.610911	-0.6839	0.780938	0.000061	0.467719	0.210526	0.610903	0.202762	0.153469	0.78159
7,649	train	H0	H26	500	500	0	0	0	0.382338	-0.382338	-0.373926	-0.373387	0.227941	0.356112	0.15318	-0.373387	0.382338	0.702069	0.139418	0.199683	0.14613	0.065021	0.061348	0.38253
7,649	train	H1	H26	500	500	0	0	0	-0.719567	0.719567	-0.25164	-0.25313	6.632026	13.811642	3.784506	-0.719567	0.719567	0.003173	0.064075	0.324316	0.518073	1.529153	1.431075	-0.719927
7,649	train	H0	H26	1,000	1,000	0	0	0	1.216045	-1.216045	-0.607539	-0.607352	2.791478	3.329392	2.284173	1.216045	1.216045	0.223852	0.368876	1.212938	1.478999	0.023649	0.026083	1.216349
7,649	train	H1	H26	1,000	1,000	0	0	0	-0.159295	0.159295	-0.356764	-0.358712	4.352051	24.722142	1.056189	-0.358712	0.356764	0.000018	0.128674	0.090928	0.025389	0.701754	0.647337	-0.159335
7,649	train	H0	H26	20	20	10	5	5	0.823618	-0.831667	-0.296246	-0.291262	1.746262	1.839139	1.574233	-0.291262	0.831667	0.390641	0.084834	0.433297	0.689486	0.16956	0.103351	0.858456
7,649	train	H1	H26	20	20	10	10	5	0.961724	-0.952686	-0.367595	-0.362988	2.691762	4.163768	2.24934	-0.362988	0.952686	0.244314	0.13176	0.602835	0.905822	0.205195	0.106206	0.952965
7,649	train	H0	H26	30	30	10	10	10	-0.388235	0.43556	-0.361909	-0.357897	2.760196	2.734443	2.85152	-0.357897	0.43556	0.240326	0.12809	0.014727	0.188873	1.259834	1.131129	-0.436975
7,649	train	H1	H26	30	30	10	10	10	0.644878	-0.693275	-0.110009	-0.107915	1.566538	1.555142	1.507926	0.644878	0.693275	0.470498	0.011646	0.23375	0.479035	0.344166	0.25359	0.704618
7,649	train	H0	H26	50	50	10	16	6	0.713951	-0.78938	0.090995	0.090363	2.265189	5.753872	3.205801	0.713951	0.78938	0.124219	0.008165	0.142194	0.624297	0.912562	1.021593	0.80515
7,649	train	H1	H26	50	50	10	10	12	-0.035017	0.04418	-0.274332	-0.271789	0.556095	0.703237	0.43427	-0.271789	0.274332	0.804821	0.073869	0.000731	0.001948	0.259148	0.213143	-0.040863
7,649	train	H0	H26	75	75	10	8	9.333333	0.828733	-0.788754	-1.129267	-1.132309	1.40234	1.364213	1.439106	-1.132309	1.129267	0.423484	1.282124	0.937094	0.621178	1.293896	1.272868	0.800392
7,649	train	H1	H26	75	75	10	8	14.666667	0.509426	-0.57816	0.277244	0.2804	2.237787	6.457094	3.176436	0.509426	0.57816	0.09137	0.078624	0.029555	0.334853	1.278854	1.464543	0.592491
7,649	train	H0	H26	100	100	10	11	10	0.367279	-0.358748	-0.385775	-0.385261	0.302028	3.616172	0.15096	-0.385261	0.385775	0.306005	0.148426	0.244499	0.12858	0.091009	0.151653	0.364586
7,649	train	H1	H26	100	100	10	11	6	1.207039	-1.183687	-1.746344	-1.784203	4.307557	4.802767	4.009174	-1.784203	1.746344	0.134716	3.18338	1.963525	1.399451	3.873572	3.771428	1.20823
7,649	train	H0	H26	150	150	10	14.666667	8.666667	-1.765888	1.760973	1.657468	1.650377	3.103535	3.234134	3.152293	-1.765888	1.760973	0.07364	2.723744	3.124019	3.103619	1.13278	1.142268	-1.788845
7,649	train	H1	H26	150	150	10	6	10	0.098548	-0.122709	0.128353	0.127992	0.138774	0.246087	0.219244	0.098548	0.128353	0.896173	0.016382	0.00013	0.015043	0.133322	0.141778	0.124916
7,649	train	H0	H26	200	200	10	7.5	12	-0.456645	0.497292	-0.386851	-0.388168	4.355072	7.195082	3.307917	-0.456645	0.497292	0.065933	0.150675	0.065082	0.247258	1.573294	1.421756	-0.502786
7,649	train	H1	H26	200	200	10	8.5	10	-0.249449	0.251276	-0.282086	-0.283058	2.788035	12.999251	1.322541	-0.283058	0.282086	0.004638	0.080122	0.050366	0.063109	0.692904	0.594816	-0.265361
7,649	train	H0	H26	300	300	10	12.666667	12	0.43329	-0.49955	0.089883	0.089603	0.745125	1.676	1.218516	0.089603	0.49955	0.543754	0.008029	0.048597	0.249455	0.418655	0.453014	0.510672
7,649	train	H1	H26	300	300	10	10	11.333333	0.60375	-0.599492	-1.133766	-1.135641	2.873029	5.069804	2.112672	-1.135641	1.133766	0.166757	1.289681	0.469769	0.359153	2.116821	1.998523	0.6115
7,649	train	H0	H26	500	500	10	9.4	9.6	-0.161707	0.139238	0.541051	0.540471	0.740874	0.740211	0.733653	-0.161707	0.541051	0.69293	0.292109	0.090211	0.019383	0.670653	0.632559	-0.14116
7,649	train	H1	H26	500	500	10	9.2	8.8	0.724112	-0.724029	-1.577446	-1.590335	6.680042	11.005386	4.783474	-1.590335	1.577446	0.011697	2.529166	0.777061	0.524327	4.665774	4.529995	0.737073
7,649	train	H0	H26	1,000	1,000	10	12	10.1	-0.210266	0.208139	-0.210607	-0.210635	1.455869	2.596231	0.772932	-0.210635	0.210607	0.458151	0.044367	0.033469	0.043317	0.385729	0.356088	-0.21183
7,649	train	H1	H26	1,000	1,000	10	9.6	9.6	-0.747535	0.728321	-0.212356	-0.213719	9.311851	29.675952	4.228887	-0.747535	0.728321	0.000002	0.045676	0.557012	0.530947	1.780104	1.687209	-0.738826
7,649	train	H0	H26	20	20	20	40	5	0.549781	-0.666112	0.376525	0.380204	5.494252	5.779713	5.181074	0.549781	0.666112	0.07498	0.144555	0.087177	0.450536	2.173233	1.837471	0.685363
7,649	train	H1	H26	20	20	20	25	5	-1.340314	1.317999	1.337603	1.312963	1.808518	2.589288	1.854396	-1.340314	1.337603	0.168052	1.723871	1.800989	1.737102	0.851761	0.779824	-1.378492
7,649	train	H0	H26	30	30	20	20	16.666667	1.199134	-1.235948	-0.808418	-0.805967	2.278787	3.341473	1.97781	1.199134	1.235948	0.202945	0.649583	1.321101	1.532207	0.005707	0.047691	1.273204
7,649	train	H1	H26	30	30	20	26.666667	20	-2.063856	2.02043	2.066081	2.143954	4.596814	8.37349	4.62499	2.143954	2.066081	0.031144	4.59654	4.275061	4.13662	3.201556	3.084891	-2.155223
7,649	train	H0	H26	50	50	20	20	20	-0.077057	0	0.078309	0.078435	0.155882	6.264122	0.006232	0.078435	0.078309	0.099444	0.006152	0.030203	0	0.003289	0.046877	0.002627
7,649	train	H1	H26	50	50	20	24	22	-0.44003	0.484682	0.261632	0.260402	0.652111	6.86275	0.359772	-0.44003	0.484682	0.076403	0.067809	0.249538	0.238159	0.005728	0	-0.493239
7,649	train	H0	H26	75	75	20	14.666667	25.333333	0.723069	-0.585206	-1.270913	-1.26445	2.330135	2.152505	2.586449	-1.26445	1.270913	0.274385	1.598834	0.892322	0.342692	2.500417	2.431736	0.59691
7,649	train	H1	H26	75	75	20	22.666667	20	1.382024	-1.374842	-1.63546	-1.67701	3.482534	15.248204	3.006811	-1.67701	1.63546	0.001616	2.812362	1.925655	1.897517	2.755651	2.534668	1.42614
7,649	train	H0	H26	100	100	20	14	16	-0.10605	0.118996	0.133668	0.132853	0.029768	0.066739	0.018499	-0.10605	0.133668	0.903029	0.01765	0.008349	0.01413	0.029625	0.030627	-0.121836
7,649	train	H1	H26	100	100	20	19	28	1.41784	-1.375383	-1.662265	-1.657023	2.854728	3.236039	2.792549	-1.657023	1.662265	0.151353	2.745724	2.146228	1.890012	2.167752	2.086745	1.434769
7,649	train	H0	H26	150	150	20	20.666667	22	2.089902	-2.068383	-2.099111	-2.122581	4.576207	5.455943	4.644408	-2.122581	2.099111	0.032819	4.505352	4.448367	4.289354	2.520717	2.466427	2.134285
7,649	train	H1	H26	150	150	20	24	20.666667	0.68876	-0.871851	0.418533	0.417878	5.770762	5.673478	6.508954	0.68876	0.871851	0.038601	0.174622	0.114452	0.76122	2.764073	2.641934	0.905442
7,649	train	H0	H26	200	200	20	19	19	0.506897	-0.594073	0.461536	0.46278	5.465307	5.934828	4.832334	0.506897	0.594073	0.089263	0.214166	0.072179	0.35271	2.260592	2.103414	0.610001
7,649	train	H1	H26	200	200	20	18.5	18	0.235305	-0.228526	-0.830171	-0.835696	3.343335	11.072793	2.252328	0.235305	0.830171	0.011339	0.698387	0.107373	0.052197	1.874666	1.708757	0.237287
7,649	train	H0	H26	300	300	20	19	19	0.962401	-0.889545	-1.402414	-1.40492	2.384848	2.527363	2.447947	-1.40492	1.402414	0.294059	1.973801	1.234531	0.791329	2.375733	2.393136	0.91684
7,649	train	H1	H26	300	300	20	19	16	1.15069	-1.245428	-0.736293	-0.735724	1.06744	3.475555	1.776554	1.15069	1.245428	0.198534	0.54129	0.874365	1.551881	0.002458	0.001007	1.28574
7,649	train	H0	H26	500	500	20	20.4	20.2	-0.440259	0.495465	-0.005698	-0.005692	0.989433	0.987904	1.047024	-0.440259	0.495465	0.592436	0.000032	0.104292	0.245401	0.288646	0.271759	-0.510698
7,649	train	H1	H26	500	500	20	21.6	20.6	0.165576	-0.212585	-0.340983	-0.340913	0.57246	2.565113	0.226217	-0.340913	0.340983	0.463638	0.116222	0.013464	0.045188	0.213108	0.191588	0.219811
7,649	train	H0	H26	1,000	1,000	20	18.3	22	-1.29101	1.426687	0.180106	0.18002	6.889036	6.574229	6.72641	-1.29101	1.426687	0.034624	0.032407	1.029297	2.03633	1.509672	1.455023	-1.469225
7,649	train	H1	H26	1,000	1,000	20	21.8	17.5	-1.693542	1.476964	1.81193	1.820753	4.431544	29.728395	3.329056	1.820753	1.81193	0.000002	3.315143	4.11354	2.183804	1.912428	2.002465	-1.528026
7,649	train	H0	H26	20	20	30	45	25	-0.412269	0.371459	0.482743	0.471222	0.227551	0.729206	0.235585	0.471222	0.482743	0.682581	0.22205	0.204692	0.136763	0.439176	0.585844	-0.408944
7,649	train	H1	H26	20	20	30	30	25	-1.347585	1.286154	1.41348	1.453053	2.115472	2.524995	2.111368	-1.347585	1.41348	0.179373	2.111364	2.027497	1.679061	1.683325	1.826623	-1.342687
7,649	train	H0	H26	30	30	30	26.666667	40	2.104105	-2.170227	-1.743311	-1.7431	4.984865	5.010321	4.971291	2.104105	2.170227	0.022082	3.038397	4.249947	4.756666	0.654025	0.726478	2.288953
7,649	train	H1	H26	30	30	30	23.333333	26.666667	-1.215843	1.260554	0.680387	0.676915	3.095372	3.581854	2.816592	-1.215843	1.260554	0.18326	0.458214	1.239067	1.592997	0.094123	0.017062	-1.330784
7,649	train	H0	H26	50	50	30	24	32	0.40388	-0.489485	-0.022867	-0.022754	0.883293	1.180336	1.010754	0.40388	0.489485	0.603278	0.000518	0.078342	0.239166	0.333869	0.336078	0.50319
7,649	train	H1	H26	50	50	30	26	22	-0.290279	0.132263	0.790082	0.787596	1.307308	6.940951	1.915146	0.787596	0.790082	0.073804	0.620307	0.264947	0.017501	1.586929	2.070373	-0.147282
7,649	train	H0	H26	75	75	30	38.666667	37.333333	-1.064713	1.011878	1.212903	1.216595	1.52683	1.744674	1.513012	1.216595	1.212903	0.287786	1.480103	1.259536	1.028251	1.356305	1.318697	-1.062991
7,649	train	H1	H26	75	75	30	28	29.333333	-0.040531	-0.071354	0.419311	0.418777	0.923315	1.004421	1.013495	0.418777	0.419311	0.602452	0.175374	0.02205	0.00509	0.780569	0.769699	0.072436
7,649	train	H0	H26	100	100	30	29	33	1.222616	-1.201768	-1.140388	-1.143189	1.569452	2.411995	1.492382	1.222616	1.201768	0.206374	1.306881	1.444809	1.442181	0.487801	0.632287	1.263599
7,649	train	H1	H26	100	100	30	25	27	-0.375924	0.290609	0.430755	0.43063	0.241536	3.755489	0.187442	0.43063	0.430755	0.289106	0.185443	0.221933	0.085219	0.160126	0.231647	-0.301775
7,649	train	H0	H26	150	150	30	31.333333	24.666667	-1.952762	2.123853	1.099013	1.091832	5.856696	5.939174	6.430652	-1.952762	2.123853	0.02585	1.192098	3.132152	4.512176	0.15841	0.125206	-2.228458
7,649	train	H1	H26	150	150	30	32.666667	26.666667	-1.239869	1.129988	1.343957	1.349126	1.828602	2.266078	1.820237	-1.239869	1.343957	0.234787	1.820142	1.712654	1.276391	1.337854	1.408999	-1.188118
7,649	train	H0	H26	200	200	30	29.5	31.5	0.662628	-0.658461	-0.557144	-0.554306	0.453775	0.535041	0.455687	-0.554306	0.658461	0.48986	0.307255	0.427379	0.433158	0.050142	0.046457	0.690531
7,649	train	H1	H26	200	200	30	29	34.5	-0.886447	0.819996	0.822053	0.827398	0.892742	1.916016	0.786505	-0.886447	0.822053	0.391493	0.684587	0.83869	0.672921	0.293115	0.352405	-0.856913
7,649	train	H0	H26	300	300	30	29.666667	25.333333	-1.537444	1.539851	1.423666	1.423962	2.293351	2.514222	2.363953	-1.537444	1.539851	0.111122	2.027668	2.295062	2.370248	0.815253	0.814872	-1.593168
7,649	train	H1	H26	300	300	30	30.666667	24.666667	-0.895487	0.579258	1.84583	1.852796	6.720435	7.079166	7.50312	1.852796	1.84583	0.023481	3.432853	1.448147	0.335616	6.988351	6.935619	-0.609485
7,649	train	H0	H26	500	500	30	33.8	30.6	-0.18945	0.080787	0.372167	0.371588	0.179639	2.454309	0.293262	0.371588	0.372167	0.483605	0.138078	0.063908	0.006525	0.295266	0.350758	-0.084908
7,649	train	H1	H26	500	500	30	30.2	30.2	-0.637409	0.5763	0.139829	0.13998	2.800803	7.084768	1.643407	-0.637409	0.5763	0.069244	0.019594	0.411322	0.332434	0.41301	0.337142	-0.607362
7,649	train	H0	H26	1,000	1,000	30	30.2	30	-0.51459	0.639472	-0.307134	-0.306831	4.6969	5.297577	3.993024	-0.51459	0.639472	0.135808	0.094146	0.152179	0.408839	1.788283	1.703199	-0.665981
7,649	train	H1	H26	1,000	1,000	30	29.2	29.6	2.304678	-2.561147	-1.783827	-1.787614	4.330763	17.613078	5.976258	2.304678	2.561147	0.000529	3.195565	4.336684	6.564802	0.41184	0.385315	2.686431

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