Split (1)

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
7,647	train	H0	H18	20	20	50	45	55	-0.167639	0.379819	-0.141619	-0.139012	1.221216	1.352993	1.260226	-0.139012	0.379819	0.532532	0.019324	0.020987	0.143368	0.354553	0.381542	-0.381268
7,647	train	H1	H18	20	20	50	35	45	0.112541	0	-0.631934	-0.628619	3.973301	7.037369	3.69589	-0.628619	0.631934	0.070716	0.395162	0.067346	0	2.382745	2.250208	-0.043153
7,647	train	H0	H18	30	30	50	56.666667	43.333333	-0.569862	0.475123	0.652115	0.650001	0.493248	0.73063	0.480716	0.650001	0.652115	0.608371	0.422502	0.276758	0.224942	0.688924	0.632776	-0.5124
7,647	train	H1	H18	30	30	50	70	66.666667	0.888545	-0.976587	-0.769496	-0.777687	1.266236	2.743347	1.221855	-0.777687	0.976587	0.303059	0.604797	0.951356	0.960899	0.005462	0.001544	1.029895
7,647	train	H0	H18	50	50	50	46	46	0.074059	0.073597	-0.299814	-0.300848	0.794534	0.931602	0.820618	-0.300848	0.299814	0.663445	0.090509	0.004404	0.005402	0.355788	0.359664	-0.071388
7,647	train	H1	H18	50	50	50	50	48	0.910626	-1.228309	-0.536653	-0.531747	2.099961	3.609665	2.290009	-0.531747	1.228309	0.20366	0.282755	0.930184	1.510214	0.185468	0.232202	1.271193
7,647	train	H0	H18	75	75	50	49.333333	44	-0.572251	0.54401	0.573919	0.570493	0.329841	0.330438	0.330714	0.570493	0.573919	0.578035	0.325462	0.307718	0.295409	0.302975	0.361831	-0.556257
7,647	train	H1	H18	75	75	50	45.333333	44	0.456891	-0.51519	-0.208107	-0.206942	0.998941	1.321383	0.933795	-0.206942	0.51519	0.603024	0.042825	0.188911	0.265071	0.148273	0.090886	0.520057
7,647	train	H0	H18	100	100	50	44	51	0.152593	0.032083	-0.399461	-0.39896	0.836159	3.496247	0.988793	-0.39896	0.399461	0.321249	0.159169	0.042252	0.001029	0.571002	0.624193	-0.027626
7,647	train	H1	H18	100	100	50	53	57	1.085914	-1.083332	-1.044343	-1.04597	1.172201	1.751685	1.187269	1.085914	1.083332	0.257904	1.094053	1.112976	1.174196	0.391044	0.375262	1.131359
7,647	train	H0	H18	150	150	50	52	46.666667	-0.292537	0.312501	0.290027	0.290375	0.084355	0.729156	0.086476	0.290375	0.312501	0.747062	0.084318	0.078738	0.097643	0.087928	0.072542	-0.322516
7,647	train	H1	H18	150	150	50	48.666667	52.666667	0.670699	-0.572222	-0.736377	-0.735009	0.558087	1.403715	0.571768	-0.735009	0.736377	0.550339	0.540239	0.453214	0.326376	0.406895	0.443601	0.597252
7,647	train	H0	H18	200	200	50	52.5	53.5	0.859124	-0.954606	-0.641714	-0.640098	1.363555	1.355147	1.38089	-0.640098	0.954606	0.323714	0.409725	0.73073	0.910988	0.006377	0.004473	0.986855
7,647	train	H1	H18	200	200	50	51.5	58	2.388631	-2.465262	-2.145357	-2.158487	6.401154	6.961439	6.301193	2.388631	2.465262	0.010001	4.659066	5.95661	6.086288	1.228212	1.25471	2.575807
7,647	train	H0	H18	300	300	50	55.666667	49	-0.461673	0.188266	0.787092	0.786123	2.086704	2.160366	2.113858	-0.461673	0.787092	0.347521	0.617989	0.185385	0.035439	1.921162	1.962113	-0.197416
7,647	train	H1	H18	300	300	50	49	47.333333	1.355735	-1.758708	-0.569419	-0.569524	9.067217	9.113952	9.061546	1.355735	1.758708	0.010772	0.324357	1.894656	3.094961	1.152844	1.121209	1.825837
7,647	train	H0	H18	500	500	50	46.8	54.4	1.923674	-1.582929	-2.265108	-2.265367	6.35127	6.416776	6.349842	-2.265367	2.265108	0.041797	5.131887	3.470322	2.505327	6.01447	6.120091	1.638242
7,647	train	H1	H18	500	500	50	51.4	48.2	1.206792	-1.450012	-0.730373	-0.732374	4.221517	4.089515	4.235902	-0.732374	1.450012	0.120278	0.536372	1.445857	2.104453	0.207034	0.167629	1.507845
7,647	train	H0	H18	1,000	1,000	50	52.8	48.8	-1.343641	0.959603	1.786415	1.787055	5.380294	8.037522	5.664596	-1.343641	1.786415	0.045243	3.193566	1.800196	0.920802	5.615016	5.769916	-0.997025
7,647	train	H1	H18	1,000	1,000	50	47.9	50.2	2.841141	-3.135636	-2.202849	-2.205048	11.932493	11.990376	12.061339	2.841141	3.135636	0.001088	4.862237	8.042314	9.839924	0.164218	0.16975	3.266743
7,647	train	H0	H19	20	20	0	0	0	-1.298404	1.298404	1.116187	1.10275	1.521067	2.307598	1.70159	-1.298404	1.298404	0.188528	1.216058	1.466845	1.690079	0.386691	0.362422	-1.314945
7,647	train	H1	H19	20	20	0	0	0	0.676252	-0.676252	-0.850044	-0.84263	0.820068	2.115882	0.741373	-0.84263	0.850044	0.493428	0.710026	0.505216	0.454133	0.583866	0.477481	0.684867
7,647	train	H0	H19	30	30	0	0	0	-0.162629	0.162629	0.393131	0.389526	0.182002	2.492996	0.303913	-0.162629	0.393131	0.476558	0.15173	0.100399	0.026299	0.321785	0.480052	-0.164001
7,647	train	H1	H19	30	30	0	0	0	0.162629	-0.162629	-0.656203	-0.648704	1.000413	1.022692	1.1692	-0.648704	0.656203	0.557329	0.420817	0.159414	0.026388	0.8929	0.884003	0.164001
7,647	train	H0	H19	50	50	0	0	0	0.454992	-0.454992	-0.596978	-0.595704	0.535264	3.025322	0.377462	0.454992	0.596978	0.387737	0.354863	0.200091	0.206472	0.313164	0.230748	0.457284
7,647	train	H1	H19	50	50	0	0	0	-0.779002	0.779002	0.781827	0.773669	0.628271	0.781797	0.642367	0.773669	0.781827	0.433671	0.598564	0.621661	0.605388	0.355498	0.337123	-0.782926
7,647	train	H0	H19	75	75	0	0	0	-0.005638	0.005638	-0.246855	-0.244419	0.309457	0.433805	0.258677	-0.005638	0.246855	0.878676	0.059741	0.005913	0.000032	0.155911	0.125894	-0.005619
7,647	train	H1	H19	75	75	0	0	0	-2.317256	2.317256	2.053698	2.070001	5.155324	6.234553	5.419025	-2.317256	2.317256	0.020918	4.284905	5.135879	5.415041	1.423553	1.397506	-2.309467
7,647	train	H0	H19	100	100	0	0	0	1.053101	-1.053101	-0.920999	-0.916359	0.998343	1.705934	1.108475	1.053101	1.053101	0.291086	0.839714	1.012149	1.10845	0.264648	0.237052	1.055743
7,647	train	H1	H19	100	100	0	0	0	-1.842315	1.842315	1.158119	1.151961	3.32095	4.961155	4.249886	-1.842315	1.842315	0.064756	1.327014	2.405546	3.408022	0.007764	0.003505	-1.846938
7,647	train	H0	H19	150	150	0	0	0	1.922132	-1.922132	-2.619851	-2.679064	8.439163	8.73223	8.125688	1.922132	2.619851	0.0172	7.177385	4.974121	3.702088	7.730949	7.657952	1.925344
7,647	train	H1	H19	150	150	0	0	0	-1.662565	1.662565	0.485261	0.485736	6.672531	6.983171	6.665262	-1.662565	1.662565	0.035699	0.235939	1.630877	2.769218	0.871097	0.815312	-1.665343
7,647	train	H0	H19	200	200	0	0	0	-0.648709	0.648709	0.006676	0.006651	1.235395	1.424871	1.685052	-0.648709	0.648709	0.430621	0.000044	0.137662	0.420742	0.407317	0.395048	-0.649521
7,647	train	H1	H19	200	200	0	0	0	-1.552576	1.552576	0.730915	0.729726	3.820653	3.434525	3.999583	-1.552576	1.552576	0.12006	0.5325	1.598235	2.41261	0.106846	0.078142	-1.55452
7,647	train	H0	H19	300	300	0	0	0	0.509635	-0.509635	-0.788312	-0.788225	1.009596	2.540765	0.749259	-0.788225	0.788312	0.467969	0.621299	0.311623	0.2596	0.718152	0.658126	0.51006
7,647	train	H1	H19	300	300	0	0	0	-0.934488	0.934488	-0.245518	-0.245449	4.442708	4.814148	5.454546	-0.245449	0.934488	0.065397	0.060245	0.207328	0.873522	1.965971	1.940661	-0.935268
7,647	train	H0	H19	500	500	0	0	0	0.981466	-0.981466	-0.597725	-0.596983	1.464186	1.974161	1.225193	-0.596983	0.981466	0.326121	0.356389	0.791501	0.963192	0.002433	0.006966	0.981957
7,647	train	H1	H19	500	500	0	0	0	-2.236438	2.236438	0.840361	0.840566	9.302881	8.349722	9.950815	-2.236438	2.236438	0.006906	0.706551	3.0117	5.008329	0.719954	0.669027	-2.237557
7,647	train	H0	H19	1,000	1,000	0	0	0	0.265156	-0.265156	-0.717879	-0.718488	1.840046	3.783164	1.038614	0.265156	0.717879	0.28585	0.516225	0.096944	0.070297	0.965423	0.920801	0.265222
7,647	train	H1	H19	1,000	1,000	0	0	0	-2.586351	2.586351	1.623353	1.623677	7.775189	6.975052	8.243714	-2.586351	2.586351	0.009682	2.636326	5.109789	6.694481	0.03404	0.045998	-2.586998
7,647	train	H0	H19	20	20	10	5	10	0.477874	-0.456558	-1.100623	-1.107514	2.669708	2.772531	2.785653	-1.107514	1.100623	0.248372	1.226587	0.567063	0.207455	2.37911	2.342505	0.482247
7,647	train	H1	H19	20	20	10	10	5	-1.205199	1.193306	1.370352	1.364271	1.868544	1.94244	1.864978	-1.205199	1.370352	0.222368	1.861237	1.662866	1.429732	1.657958	1.703714	-1.220255
7,647	train	H0	H19	30	30	10	13.333333	0	-1.902564	1.888042	2.07882	2.118892	4.511095	5.098267	4.490258	-1.902564	2.07882	0.054792	4.489704	3.97132	3.584898	3.506083	3.465422	-1.92052
7,647	train	H1	H19	30	30	10	3.333333	13.333333	2.091276	-2.036518	-2.347178	-2.443336	5.973755	8.092851	6.060033	-2.443336	2.347178	0.037725	5.969891	5.48946	4.208503	5.22516	5.614969	2.077831
7,647	train	H0	H19	50	50	10	16	12	-0.83875	0.838576	0.78581	0.783346	0.620466	2.931489	0.70588	0.783346	0.838576	0.392846	0.613631	0.562895	0.70184	0.27804	0.217346	-0.854468
7,647	train	H1	H19	50	50	10	12	12	0.046677	-0.040829	-0.383427	-0.386806	0.998191	2.801993	0.665821	0.046677	0.383427	0.423172	0.149619	0.012212	0.001663	0.456507	0.365904	0.034575
7,647	train	H0	H19	75	75	10	10.666667	9.333333	1.298765	-1.321875	-1.159572	-1.16285	1.484227	4.981229	1.692213	-1.16285	1.321875	0.173177	1.35222	1.536199	1.746501	0.472344	0.39322	1.331221
7,647	train	H1	H19	75	75	10	6.666667	8	-0.658493	0.649013	0.781363	0.776833	0.618665	1.114896	0.607514	0.776833	0.781363	0.512317	0.60347	0.500731	0.421184	0.55104	0.483746	-0.655235
7,647	train	H0	H19	100	100	10	11	10	-0.522303	0.521042	0.505155	0.501247	0.253386	0.898718	0.278992	-0.522303	0.521042	0.593725	0.251248	0.2447	0.273674	0.150381	0.121386	-0.533445
7,647	train	H1	H19	100	100	10	10	9	-1.658345	1.666096	1.06205	1.066274	4.614195	7.84846	3.614519	-1.658345	1.666096	0.04925	1.136941	2.464832	2.787403	0.002037	0.024723	-1.693116
7,647	train	H0	H19	150	150	10	8	7.333333	-0.946463	0.969203	0.086051	0.086434	4.098215	4.549526	3.713757	-0.946463	0.969203	0.156159	0.007471	0.449945	0.940482	0.849488	0.771169	-0.983797
7,647	train	H1	H19	150	150	10	9.333333	12	-0.877493	0.886252	0.657333	0.655424	0.823355	0.777059	0.840326	-0.877493	0.886252	0.364458	0.429581	0.662012	0.788994	0.067163	0.078874	-0.906903
7,647	train	H0	H19	200	200	10	15.5	10.5	-0.026407	0.053717	-0.370365	-0.369955	0.813244	1.043002	0.75507	-0.369955	0.370365	0.685549	0.136867	0.010687	0.003086	0.489661	0.440599	-0.054516
7,647	train	H1	H19	200	200	10	13	7.5	-2.742564	2.762487	2.096142	2.096393	7.843673	7.915789	8.125546	-2.742564	2.762487	0.005057	4.394864	6.613753	7.668541	0.522215	0.583079	-2.8034
7,647	train	H0	H19	300	300	10	10	9.333333	0.589274	-0.605546	-0.139149	-0.139319	1.441893	2.27499	1.070527	0.589274	0.605546	0.517329	0.01941	0.242827	0.365993	0.160342	0.133442	0.61225
7,647	train	H1	H19	300	300	10	9	10.333333	-1.232569	1.277714	0.395617	0.395092	2.413415	2.712148	3.800438	-1.232569	1.277714	0.149536	0.156098	0.686592	1.63688	0.434631	0.409689	-1.296561
7,647	train	H0	H19	500	500	10	10.4	10.2	0.206525	-0.217575	0.054745	0.054668	0.431916	0.755336	0.30579	0.206525	0.217575	0.825871	0.002989	0.024514	0.047022	0.115117	0.095205	0.22
7,647	train	H1	H19	500	500	10	8	9.8	-0.968876	0.99388	0.410826	0.410226	1.510376	1.785204	1.870283	-0.968876	0.99388	0.314198	0.168286	0.569728	0.98876	0.094578	0.089761	-1.006452
7,647	train	H0	H19	1,000	1,000	10	10.3	9.7	-1.283171	1.278957	1.221637	1.220889	1.668141	1.690155	1.680032	1.220889	1.278957	0.194014	1.490571	1.635673	1.637002	0.692006	0.720907	-1.298797
7,647	train	H1	H19	1,000	1,000	10	10.9	8.6	-4.227761	4.2424	3.425597	3.438029	18.337033	17.77487	18.368864	-4.227761	4.2424	0.000016	11.82004	16.362601	18.032584	2.427945	2.527434	-4.307973
7,647	train	H0	H19	20	20	20	35	15	1.012665	-1.062407	-1.100572	-1.137099	1.295358	1.323136	1.293977	-1.137099	1.100572	0.260724	1.292994	1.138272	1.018513	0.732088	0.682414	1.124681
7,647	train	H1	H19	20	20	20	30	30	-0.8373	0.825637	0.735457	0.744721	0.734804	0.776125	0.720953	-0.8373	0.825637	0.387475	0.55461	0.669455	0.677352	0.298271	0.329823	-0.864205
7,647	train	H0	H19	30	30	20	16.666667	10	-0.511074	0.563626	-0.264155	-0.263535	3.43618	3.853139	3.19052	-0.511074	0.563626	0.202856	0.06945	0.071453	0.335329	1.341648	1.150075	-0.59573
7,647	train	H1	H19	30	30	20	20	23.333333	1.09398	-1.060759	-1.388479	-1.410172	2.182672	3.239585	2.272842	-1.410172	1.388479	0.265988	1.988586	1.562191	1.090323	2.032891	2.161333	1.112348
7,647	train	H0	H19	50	50	20	28	26	-0.526917	0.561365	0.416052	0.414161	0.341823	0.37695	0.318186	-0.526917	0.561365	0.561379	0.17153	0.296503	0.314185	0.03047	0.036247	-0.580794
7,647	train	H1	H19	50	50	20	24	24	-1.315664	1.273435	1.490293	1.554723	2.744729	6.417173	2.593893	1.554723	1.490293	0.092987	2.417163	1.854212	1.65108	2.617189	2.507238	-1.335678
7,647	train	H0	H19	75	75	20	21.333333	20	-1.027736	0.998338	0.825851	0.827242	1.82403	9.475798	1.116656	0.827242	0.998338	0.02359	0.68433	1.241698	1.000953	0.07763	0.18992	-1.032996
7,647	train	H1	H19	75	75	20	24	22.666667	-0.648499	0.658491	0.853062	0.854569	1.077046	5.222311	0.854368	-0.648499	0.853062	0.156224	0.730289	0.436911	0.438301	0.896913	0.766173	-0.686515
7,647	train	H0	H19	100	100	20	20	18	0.033509	0.054902	-0.731983	-0.737866	3.615597	5.512336	3.176186	0.033509	0.731983	0.137903	0.544446	0.047376	0.00316	2.164105	1.98069	-0.054287
7,647	train	H1	H19	100	100	20	20	22	0.415348	-0.436643	-0.069468	-0.069359	1.098987	3.115448	0.769448	-0.069359	0.436643	0.374166	0.004811	0.135171	0.189116	0.16998	0.133611	0.448901
7,647	train	H0	H19	150	150	20	24.666667	22.666667	-0.619209	0.642773	0.646549	0.644653	0.469855	4.341815	0.420919	-0.619209	0.646549	0.226842	0.415577	0.280336	0.41635	0.273387	0.206604	-0.669824
7,647	train	H1	H19	150	150	20	17.333333	24	-0.521668	0.546564	-0.006762	-0.006763	2.40277	4.737215	1.616622	-0.521668	0.546564	0.192082	0.000046	0.215606	0.299534	0.509212	0.425777	-0.557745
7,647	train	H0	H19	200	200	20	17.5	19.5	0.971992	-1.006657	-0.673353	-0.67093	1.072798	1.087679	1.157755	0.971992	1.006657	0.300152	0.450147	0.792871	1.00958	0.016908	0.022753	1.036107
7,647	train	H1	H19	200	200	20	23	22	-1.022148	1.081735	0.763697	0.761072	0.811025	5.408484	1.19897	0.761072	1.081735	0.144216	0.579231	0.786264	1.173645	0.056932	0.02647	-1.125108
7,647	train	H0	H19	300	300	20	18.333333	21.666667	1.756288	-1.716616	-1.995281	-1.995846	4.013756	4.046889	3.995071	1.756288	1.995281	0.075419	3.9834	3.385751	2.942624	3.026701	3.056296	1.777906
7,647	train	H1	H19	300	300	20	17.666667	22.333333	-1.281841	1.393318	0.280564	0.280374	5.100222	4.754789	5.925334	-1.281841	1.393318	0.051681	0.078609	0.8863	1.948432	1.124157	1.061589	-1.444131
7,647	train	H0	H19	500	500	20	22.2	17.6	-2.529318	2.499333	2.403479	2.405693	6.662949	6.832643	6.483963	-2.529318	2.499333	0.009609	5.78736	6.675376	6.260776	2.495125	2.52199	-2.58958
7,647	train	H1	H19	500	500	20	22.8	20	-3.606064	3.572889	3.722069	3.750573	14.160292	14.244666	14.321833	-3.606064	3.722069	0.00021	14.066799	13.308925	12.830753	8.360243	8.617413	-3.706741
7,647	train	H0	H19	1,000	1,000	20	19.1	19.4	-0.215777	0.233318	0.138269	0.138112	0.047471	0.069808	0.062944	-0.215777	0.233318	0.809219	0.019075	0.034183	0.054812	0.000399	0.001537	-0.241433
7,647	train	H1	H19	1,000	1,000	20	20.5	21.9	-2.553103	2.705385	1.277606	1.278454	10.93818	13.459384	12.435532	-2.553103	2.705385	0.001994	1.634446	4.735445	7.332626	0.489868	0.519167	-2.793198
7,647	train	H0	H19	20	20	30	40	30	-1.540615	1.485875	1.66633	1.748624	3.376312	8.854053	3.27221	1.748624	1.66633	0.031296	3.057686	2.565804	2.27592	3.536714	3.403627	-1.676802
7,647	train	H1	H19	20	20	30	35	30	0.158829	-0.25403	0.164232	0.160583	1.078401	1.520356	0.975033	0.158829	0.25403	0.61415	0.025787	0.017988	0.064265	0.581158	0.41896	0.258799
7,647	train	H0	H19	30	30	30	13.333333	20	1.618234	-1.670136	-1.18443	-1.174484	2.880282	4.114142	3.184264	1.618234	1.670136	0.087446	1.379414	2.120531	2.75767	0.097025	0.081126	1.709025
7,647	train	H1	H19	30	30	30	36.666667	33.333333	-1.321751	1.339157	1.048197	1.050757	2.18553	3.2096	1.961507	-1.321751	1.339157	0.162179	1.10409	1.705671	1.788228	0.06388	0.219038	-1.397781
7,647	train	H0	H19	50	50	30	30	36	1.212246	-1.27864	-1.185415	-1.188248	1.418343	3.574227	1.499671	1.212246	1.27864	0.173988	1.411933	1.323324	1.611289	0.671767	0.572296	1.359499
7,647	train	H1	H19	50	50	30	28	28	0.616199	-0.562301	-0.676331	-0.674372	0.458366	1.267218	0.455544	-0.674372	0.676331	0.556883	0.454777	0.427522	0.306215	0.27272	0.309324	0.587478
7,647	train	H0	H19	75	75	30	36	38.666667	0.700656	-0.72642	-0.582357	-0.580131	0.542444	0.629218	0.535459	0.700656	0.72642	0.442919	0.336552	0.494991	0.509523	0.037251	0.03699	0.767273
7,647	train	H1	H19	75	75	30	24	36	-1.721831	1.771714	1.201573	1.221343	4.353708	4.762116	4.148913	-1.721831	1.771714	0.059854	1.491679	2.65805	3.207617	0.00799	0.024896	-1.88187
7,647	train	H0	H19	100	100	30	32	26	-0.011827	0.109425	-0.251853	-0.253127	0.197023	4.932374	0.468155	-0.011827	0.251853	0.176817	0.064073	0.016968	0.013987	0.295453	0.377892	-0.131754
7,647	train	H1	H19	100	100	30	30	29	-0.660428	0.724614	0.100289	0.100352	2.757831	5.409451	2.246302	-0.660428	0.724614	0.144156	0.010071	0.314585	0.532627	0.510456	0.404202	-0.76487
7,647	train	H0	H19	150	150	30	24	31.333333	0.795202	-0.901544	-0.301591	-0.300197	1.623932	1.961956	1.767915	0.795202	0.901544	0.347421	0.090118	0.474521	0.807754	0.197061	0.211739	0.939604
7,647	train	H1	H19	150	150	30	30	31.333333	-1.39263	1.54101	0.616271	0.615016	4.967988	4.84203	4.862936	-1.39263	1.54101	0.087908	0.378245	1.518558	2.386619	0.432067	0.337492	-1.632649
7,647	train	H0	H19	200	200	30	28	30.5	0.667128	-0.627457	-0.748287	-0.747628	0.564893	0.629696	0.562818	0.667128	0.748287	0.509688	0.558947	0.477744	0.390853	0.40063	0.394141	0.659324
7,647	train	H1	H19	200	200	30	24	27.5	-0.026203	-0.02331	0.156007	0.155672	0.078229	0.085335	0.104446	-0.026203	0.156007	0.949117	0.024234	0.004402	0.000352	0.08691	0.081438	0.021661
7,647	train	H0	H19	300	300	30	33	31.666667	-0.336434	0.319213	0.421846	0.421125	0.239072	0.873876	0.198946	-0.336434	0.421846	0.732151	0.177346	0.108364	0.104746	0.215309	0.194175	-0.342266
7,647	train	H1	H19	300	300	30	32	30.666667	-0.942996	1.126278	0.202822	0.202668	3.389734	3.340536	3.818795	0.202668	1.126278	0.14817	0.041074	0.54318	1.275579	0.754965	0.716909	-1.196367
7,647	train	H0	H19	500	500	30	30.4	29.2	-1.554739	1.632029	0.914744	0.91455	4.360632	4.545181	4.05974	-1.554739	1.632029	0.085442	0.836402	2.136378	2.673742	0.054651	0.038065	-1.719946
7,647	train	H1	H19	500	500	30	32.6	29	-2.954906	3.060572	2.20339	2.204659	10.402319	10.189427	10.531675	-2.954906	3.060572	0.001293	4.860521	7.921055	9.391181	0.242518	0.28393	-3.217475
7,647	train	H0	H19	1,000	1,000	30	29.7	30.9	0.320016	-0.310898	-0.263345	-0.263305	0.171401	0.666118	0.108403	-0.263305	0.310898	0.74423	0.06933	0.119731	0.095283	0.01312	0.015764	0.326256
7,647	train	H1	H19	1,000	1,000	30	31.2	32.4	-3.207241	3.394539	2.221658	2.225959	13.097044	14.596946	14.095342	-3.207241	3.394539	0.000366	4.954893	8.949272	11.555788	0.027088	0.022846	-3.563761

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