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
7,645	train	H0	H07	20	20	40	45	50	0.927866	-0.91367	-0.838046	-0.839355	0.883691	6.213975	0.957792	-0.839355	0.91367	0.101651	0.704516	0.694776	0.84016	0.072562	0.034992	0.964205
7,645	train	H1	H07	20	20	40	35	40	0.319467	-0.317793	-0.262019	-0.260156	0.159123	1.845651	0.123629	-0.260156	0.317793	0.605052	0.067681	0.10616	0.100433	0.00014	0.002983	0.321237
7,645	train	H0	H07	30	30	40	26.666667	40	1.209253	-1.037062	-1.592988	-1.613597	4.032606	5.625317	3.861644	-1.613597	1.592988	0.131332	2.603697	1.57174	1.076339	3.530967	3.298433	1.048702
7,645	train	H1	H07	30	30	40	53.333333	43.333333	-0.694828	0.694828	0.69443	0.680871	0.488022	0.726956	0.479393	0.680871	0.694828	0.470492	0.463585	0.55297	0.480893	0.422412	0.448712	-0.721679
7,645	train	H0	H07	50	50	40	42	42	-0.511822	0.441053	0.594325	0.59444	0.38838	0.562977	0.395281	0.59444	0.594325	0.646483	0.353358	0.276193	0.19427	0.512304	0.585409	-0.458653
7,645	train	H1	H07	50	50	40	36	30	-0.401887	0.347988	0.400778	0.395818	0.169992	0.416359	0.162845	0.395818	0.400778	0.722308	0.156672	0.14959	0.120703	0.168162	0.233989	-0.355375
7,645	train	H0	H07	75	75	40	34.666667	50.666667	1.78998	-1.823599	-1.654769	-1.646937	3.211822	3.208733	3.238096	-1.646937	1.823599	0.059064	2.712403	3.144999	3.323605	0.871515	0.925744	1.88772
7,645	train	H1	H07	75	75	40	41.333333	38.666667	-0.325617	0.458285	-0.071756	-0.07162	1.77755	2.162663	1.64884	-0.07162	0.458285	0.438489	0.005129	0.078117	0.209887	0.493078	0.430358	-0.4709
7,645	train	H0	H07	100	100	40	40	43	0.962824	-0.839537	-1.158174	-1.159746	1.611025	1.692886	1.582612	-1.159746	1.158174	0.384626	1.345011	0.910354	0.705584	1.354041	1.300782	0.869404
7,645	train	H1	H07	100	100	40	40	43	1.147291	-1.097319	-1.176326	-1.182243	1.39771	2.125984	1.40053	-1.182243	1.176326	0.258135	1.397699	1.239928	1.204278	0.780983	0.752092	1.13081
7,645	train	H0	H07	150	150	40	38	47.333333	0.441995	-0.042926	-1.189913	-1.191119	7.671831	7.780145	7.759354	-1.191119	1.189913	0.020657	1.418764	0.259056	0.001842	5.556258	5.530811	0.049074
7,645	train	H1	H07	150	150	40	38	44	0.868155	-0.819672	-0.933427	-0.93133	0.876381	0.95869	0.873676	-0.93133	0.933427	0.394089	0.867376	0.755966	0.671254	0.587003	0.568451	0.852225
7,645	train	H0	H07	200	200	40	29.5	47	1.206928	-0.837436	-2.139213	-2.134697	11.574814	11.725991	11.300594	-2.134697	2.139213	0.003516	4.556933	1.737104	0.700722	10.098729	9.845878	0.865858
7,645	train	H1	H07	200	200	40	40.5	39.5	1.909369	-2.136348	-1.231747	-1.236438	7.470237	7.551464	7.351435	1.909369	2.136348	0.025331	1.528779	3.441395	4.57471	0.037326	0.031693	2.20088
7,645	train	H0	H07	300	300	40	43	39.666667	-1.404245	1.372915	1.356432	1.359981	1.98542	2.003631	1.976313	-1.404245	1.372915	0.156937	1.849547	1.980227	1.884556	0.969777	0.959083	-1.415448
7,645	train	H1	H07	300	300	40	43.666667	37	-0.299468	0.153422	0.676065	0.675713	1.988258	4.040693	1.709531	0.675713	0.676065	0.257103	0.456588	0.082761	0.023535	1.432836	1.4068	-0.158857
7,645	train	H0	H07	500	500	40	40.4	39.8	0.17192	-0.219978	-0.001536	-0.001536	0.382257	0.851972	0.312619	-0.001536	0.219978	0.820934	0.000002	0.031446	0.048377	0.114335	0.106164	0.226344
7,645	train	H1	H07	500	500	40	43.2	39.4	0.934638	-1.169438	-0.354691	-0.354875	4.005078	4.035215	3.954524	-0.354875	1.169438	0.138448	0.125936	0.834421	1.36855	0.599255	0.579262	1.203254
7,645	train	H0	H07	1,000	1,000	40	41.9	42.3	-0.241639	0.575176	-0.540553	-0.5407	6.515138	6.859335	6.883409	-0.5407	0.575176	0.03201	0.292356	0.014521	0.330919	3.452533	3.43422	-0.591441
7,645	train	H1	H07	1,000	1,000	40	40.6	41.2	2.825601	-2.717693	-2.880289	-2.900899	8.434382	8.82337	8.450498	-2.900899	2.880289	0.005249	8.415213	7.955327	7.396649	5.401026	5.386715	2.791353
7,645	train	H0	H07	20	20	50	40	55	-0.183674	0.444805	-0.196033	-0.195468	2.83936	3.978248	2.723858	-0.195468	0.444805	0.256166	0.038208	0.042519	0.19808	1.131685	0.984911	-0.421996
7,645	train	H1	H07	20	20	50	60	45	-0.706196	0.537174	0.846224	0.838287	1.098017	1.179058	1.104462	0.838287	0.846224	0.559539	0.702725	0.411775	0.286991	1.681396	1.508402	-0.583526
7,645	train	H0	H07	30	30	50	46.666667	46.666667	1.395116	-1.405716	-1.256112	-1.298551	2.113106	2.087631	2.113798	-1.298551	1.405716	0.147083	1.686236	1.947461	1.993173	0.411655	0.48703	1.449913
7,645	train	H1	H07	30	30	50	60	50	-0.012489	-0.140154	0.18349	0.182353	0.706587	1.938606	0.633468	0.182353	0.18349	0.585247	0.033253	0.008367	0.019649	0.367506	0.230175	0.116166
7,645	train	H0	H07	50	50	50	38	48	1.13551	-1.209352	-0.975496	-0.978185	1.615043	5.155655	1.464724	1.13551	1.209352	0.160748	0.956845	1.449119	1.461777	0.171619	0.242081	1.260203
7,645	train	H1	H07	50	50	50	60	50	-0.027925	-0.188931	0.266008	0.265801	1.358413	1.464414	1.327727	0.265801	0.266008	0.514858	0.07065	0.001545	0.035635	0.842562	0.777741	0.193439
7,645	train	H0	H07	75	75	50	52	50.666667	-0.971045	1.174272	0.506652	0.504256	4.635079	5.062076	4.785516	0.504256	1.174272	0.091377	0.254274	0.7951	1.381801	0.524951	0.469348	-1.19855
7,645	train	H1	H07	75	75	50	49.333333	40	1.235217	-1.321992	-0.980807	-1.002028	2.138621	2.166479	2.168894	-1.002028	1.321992	0.171436	1.004061	1.484155	1.764762	0.033441	0.045598	1.367604
7,645	train	H0	H07	100	100	50	55	53	-0.449781	0.423844	0.472223	0.47124	0.22465	0.23899	0.224365	0.47124	0.472223	0.655176	0.222067	0.198478	0.179413	0.271704	0.267152	-0.446583
7,645	train	H1	H07	100	100	50	47	48	0.362167	-0.200612	-0.582051	-0.584203	0.765836	6.550675	0.957899	-0.584203	0.582051	0.087685	0.341293	0.213406	0.04024	0.764186	0.852202	0.210147
7,645	train	H0	H07	150	150	50	42	48	0.874537	-1.026799	-0.552395	-0.553614	2.000291	1.997368	1.977832	-0.553614	1.026799	0.290047	0.306489	0.774729	1.053966	0.070379	0.062133	1.058019
7,645	train	H1	H07	150	150	50	54.666667	53.333333	0.391242	-0.336819	-0.389015	-0.388819	0.153234	0.198122	0.154192	0.391242	0.389015	0.726554	0.15118	0.12213	0.113471	0.044103	0.045703	0.349713
7,645	train	H0	H07	200	200	50	51.5	50.5	-0.160294	0.080904	0.238794	0.238652	0.178737	1.674052	0.140747	0.238652	0.238794	0.642718	0.056955	0.009404	0.006544	0.172198	0.163283	-0.083625
7,645	train	H1	H07	200	200	50	51.5	57.5	2.774455	-2.811725	-2.584026	-2.616098	7.993423	8.018474	8.013005	2.774455	2.811725	0.00319	6.84397	7.671088	7.948125	2.497373	2.543472	2.948841
7,645	train	H0	H07	300	300	50	55.333333	51	-0.635874	0.631842	0.719015	0.718037	0.575651	0.783552	0.592248	0.718037	0.719015	0.51462	0.515578	0.515834	0.399086	0.648162	0.57129	-0.65166
7,645	train	H1	H07	300	300	50	50.666667	47.333333	2.090395	-2.321289	-1.609378	-1.629803	6.484814	7.301284	6.687746	2.090395	2.321289	0.015168	2.656256	4.327047	5.413871	0.065226	0.063771	2.428345
7,645	train	H0	H07	500	500	50	47.6	53	0.093979	0.153569	-0.461996	-0.462219	2.41917	2.723516	2.335305	-0.462219	0.461996	0.311096	0.213647	0.003939	0.023586	1.349872	1.34658	-0.159133
7,645	train	H1	H07	500	500	50	50	50.4	1.472209	-1.381721	-1.753001	-1.76044	4.244067	15.628859	3.792683	-1.76044	1.753001	0.001351	3.099149	1.965884	1.911979	3.71035	3.444027	1.440584
7,645	train	H0	H07	1,000	1,000	50	49.6	50.9	0.188734	-0.146031	-0.197508	-0.197422	0.042167	1.442126	0.039065	-0.197422	0.197508	0.69569	0.038976	0.0484	0.021323	0.020725	0.020323	0.151529
7,645	train	H1	H07	1,000	1,000	50	51.6	49	0.635207	-0.584171	-0.677537	-0.67927	0.483738	1.882234	0.468976	-0.67927	0.677537	0.544034	0.461408	0.350017	0.341414	0.33739	0.316766	0.606725
7,645	train	H0	H08	20	20	0	0	0	0.541002	-0.541002	-0.672761	-0.664349	0.547753	2.801112	0.455564	0.541002	0.672761	0.423317	0.44136	0.288817	0.29075	0.339203	0.241065	0.547894
7,645	train	H1	H08	20	20	0	0	0	-0.946753	0.946753	0.111208	0.110134	3.642097	3.623633	3.517806	-0.946753	0.946753	0.172234	0.012129	0.399588	0.896123	0.764445	0.615609	-0.958814
7,645	train	H0	H08	30	30	0	0	0	0.13306	-0.13306	-0.26872	-0.263697	0.178304	0.680597	0.11282	0.13306	0.26872	0.877758	0.069536	0.022826	0.017576	0.063001	0.03343	0.134183
7,645	train	H1	H08	30	30	0	0	0	1.744562	-1.744562	-1.681076	-1.732419	3.706516	7.822747	3.215951	-1.732419	1.744562	0.049821	3.001274	3.617447	3.078658	1.731938	2.30484	1.759285
7,645	train	H0	H08	50	50	0	0	0	-2.081934	2.081934	2.447759	2.553784	6.910822	7.84373	6.767904	2.553784	2.447759	0.033913	6.521814	5.265086	4.372091	6.123875	6.031064	-2.092422
7,645	train	H1	H08	50	50	0	0	0	0.14477	-0.14477	0.226405	0.223947	0.196551	2.516377	0.543379	0.14477	0.226405	0.472339	0.050152	0.009344	0.020926	0.342592	0.462503	0.1455
7,645	train	H0	H08	75	75	0	0	0	-0.900215	0.900215	0.17069	0.16958	1.890426	2.333231	2.385448	-0.900215	0.900215	0.303394	0.028757	0.368189	0.812109	0.434764	0.414723	-0.897189
7,645	train	H1	H08	75	75	0	0	0	-0.990425	0.990425	0.938283	0.936281	1.379692	3.332343	1.003043	-0.990425	0.990425	0.323596	0.876622	1.240682	0.981874	0.363014	0.50747	-0.987096
7,645	train	H0	H08	100	100	0	0	0	-0.180811	0.180811	0.332846	0.332026	0.4415	3.540153	0.161524	-0.180811	0.332846	0.315592	0.110241	0.019188	0.032638	0.184024	0.130114	-0.181265
7,645	train	H1	H08	100	100	0	0	0	1.666391	-1.666391	-2.282395	-2.330365	5.993711	6.695612	6.161619	-2.330365	2.282395	0.045922	5.430603	3.953959	2.782508	5.846316	5.997853	1.670573
7,645	train	H0	H08	150	150	0	0	0	-0.736108	0.736108	1.291832	1.291532	2.093059	2.217443	2.301338	1.291532	1.291832	0.316425	1.668054	1.025278	0.541588	2.393238	2.414829	-0.737337
7,645	train	H1	H08	150	150	0	0	0	-0.207654	0.207654	-0.92129	-0.933107	6.771762	7.676345	5.633813	-0.207654	0.92129	0.053196	0.870688	0.019881	0.043146	3.897356	3.758395	-0.208001
7,645	train	H0	H08	200	200	0	0	0	-0.524157	0.524157	-0.205165	-0.205686	2.970848	5.8942	2.14349	-0.205686	0.524157	0.116873	0.042307	0.102562	0.274502	0.798977	0.702097	-0.524813
7,645	train	H1	H08	200	200	0	0	0	0.049302	-0.049302	-0.482727	-0.483937	1.465815	6.143856	0.827114	0.049302	0.482727	0.104817	0.234195	0.01675	0.002428	0.624378	0.538492	0.049364
7,645	train	H0	H08	300	300	0	0	0	-0.869959	0.869959	0.69273	0.691632	0.603296	0.515271	0.773586	-0.869959	0.869959	0.383926	0.478356	0.570973	0.756812	0.110713	0.127523	-0.870685
7,645	train	H1	H08	300	300	0	0	0	-0.269419	0.269419	-0.83313	-0.836479	4.418468	7.038567	4.895872	-0.836479	0.83313	0.070679	0.699697	0.022575	0.072579	3.110111	3.256065	-0.269644
7,645	train	H0	H08	500	500	0	0	0	-0.607011	0.607011	-0.136655	-0.136857	3.127732	5.262493	2.186974	-0.607011	0.607011	0.153555	0.01873	0.173686	0.36836	0.72981	0.668233	-0.607315
7,645	train	H1	H08	500	500	0	0	0	0.618398	-0.618398	-2.08665	-2.103745	10.018906	12.207504	10.708966	-2.103745	2.08665	0.004727	4.425743	1.443166	0.3825	9.645111	9.703953	0.618708
7,645	train	H0	H08	1,000	1,000	0	0	0	-0.498328	0.498328	0.650687	0.65036	0.526692	1.409276	0.440129	0.65036	0.650687	0.618165	0.422968	0.525255	0.248361	0.383627	0.407892	-0.498453
7,645	train	H1	H08	1,000	1,000	0	0	0	1.080912	-1.080912	-2.844111	-2.870599	17.985771	19.44186	16.893012	-2.870599	2.844111	0.000215	8.240339	2.924978	1.168563	15.746142	15.763048	1.081182
7,645	train	H0	H08	20	20	10	10	15	-0.686085	0.649161	1.063419	1.064304	1.563405	1.606797	1.599119	1.064304	1.063419	0.449527	1.132743	0.69635	0.421419	1.80867	1.791253	-0.686825
7,645	train	H1	H08	20	20	10	5	10	-0.758788	0.758769	0.440619	0.43631	1.1225	2.218119	0.90082	-0.758788	0.758769	0.445522	0.190366	0.461147	0.575035	0.000006	0.008256	-0.762902
7,645	train	H0	H08	30	30	10	0	3.333333	1.06277	-1.06127	-0.805956	-0.795129	1.450197	2.155536	1.210249	-0.795129	1.06127	0.281729	0.63223	1.061809	1.123284	0.073324	0.144357	1.076444
7,645	train	H1	H08	30	30	10	6.666667	6.666667	0.516939	-0.510695	-0.221916	-0.219161	0.500779	0.56166	0.590547	0.516939	0.510695	0.609336	0.048032	0.139754	0.259413	0.06253	0.061515	0.511022
7,645	train	H0	H08	50	50	10	14	8	-0.866456	0.85249	0.798078	0.790007	0.842336	1.314311	0.751733	-0.866456	0.85249	0.375405	0.624111	0.803468	0.738755	0.253151	0.352032	-0.886395
7,645	train	H1	H08	50	50	10	6	14	0.912671	-0.869427	-1.402307	-1.419019	3.260175	5.318874	2.848608	-1.419019	1.402307	0.149882	2.013616	1.095127	0.75343	2.703345	2.517555	0.889447
7,645	train	H0	H08	75	75	10	9.333333	5.333333	-0.248931	0.241372	0.134838	0.134158	0.293965	2.542331	0.096169	0.134158	0.241372	0.467689	0.017998	0.077929	0.059055	0.000119	0.009324	-0.246799
7,645	train	H1	H08	75	75	10	13.333333	9.333333	1.030308	-0.954483	-1.888402	-1.974161	8.516468	8.484814	8.432044	-1.974161	1.888402	0.014757	3.89731	1.994939	0.914534	7.577566	7.50039	0.919976
7,645	train	H0	H08	100	100	10	13	13	1.054683	-1.047094	-0.945126	-0.941147	1.250993	1.79839	1.111748	1.054683	1.047094	0.286062	0.885758	1.144155	1.093573	0.296286	0.343296	1.0668
7,645	train	H1	H08	100	100	10	13	9	-0.47143	0.447386	0.769831	0.765561	0.70267	0.762977	0.809425	0.765561	0.769831	0.646483	0.586083	0.410577	0.202204	0.861517	0.853232	-0.458653
7,645	train	H0	H08	150	150	10	10.666667	14	0.30951	-0.356532	0.173477	0.173347	1.154009	1.254603	1.110805	0.30951	0.356532	0.573841	0.030049	0.025528	0.126475	0.499482	0.439353	0.363454
7,645	train	H1	H08	150	150	10	8.666667	13.333333	0.898814	-0.843881	-1.643672	-1.646555	4.075032	4.008989	4.265657	-1.646555	1.643672	0.118502	2.711145	1.451197	0.708275	4.103866	4.072633	0.86268
7,645	train	H0	H08	200	200	10	7.5	13.5	1.115942	-1.132457	-0.768339	-0.767853	1.585139	1.844787	1.475631	-0.767853	1.132457	0.247043	0.589598	1.11671	1.278342	0.031999	0.026541	1.157562
7,645	train	H1	H08	200	200	10	8	11	2.115172	-2.118515	-2.020569	-2.029876	4.353031	4.681294	4.578859	-2.029876	2.118515	0.031308	4.120396	4.272602	4.490339	1.963281	1.981804	2.15313
7,645	train	H0	H08	300	300	10	10.666667	11	-0.307194	0.275442	0.460737	0.459959	0.21253	0.405198	0.25742	-0.307194	0.460737	0.777979	0.211562	0.168862	0.076379	0.26662	0.258706	-0.281953
7,645	train	H1	H08	300	300	10	8.666667	8.666667	1.493938	-1.463934	-2.259245	-2.281824	6.985886	7.315563	6.620963	-2.281824	2.259245	0.036499	5.206721	3.104393	2.142973	6.543364	6.469177	1.484934
7,645	train	H0	H08	500	500	10	12.4	9.4	0.271509	-0.314485	0.211681	0.211364	0.415726	3.940626	1.016514	0.271509	0.314485	0.267947	0.044675	0.000286	0.098498	0.471005	0.528796	0.319951
7,645	train	H1	H08	500	500	10	10	8.8	1.269999	-1.238146	-1.973099	-1.988868	6.043786	9.104588	5.174498	1.269999	1.973099	0.027932	3.955595	2.118669	1.53302	5.085335	4.972144	1.255394
7,645	train	H0	H08	1,000	1,000	10	10	10.2	-1.55712	1.543302	1.590282	1.590819	2.608818	3.032668	2.635694	-1.55712	1.590282	0.116431	2.530705	2.602541	2.383676	1.447126	1.420967	-1.56993
7,645	train	H1	H08	1,000	1,000	10	10.2	10.4	0.903186	-0.901534	-1.188956	-1.191316	2.004179	3.899174	1.531499	0.903186	1.188956	0.272559	1.419233	0.794283	0.81186	1.415694	1.416794	0.915831
7,645	train	H0	H08	20	20	20	20	15	-0.44757	0.435157	0.824755	0.815015	1.171378	1.419547	1.288634	0.815015	0.824755	0.525021	0.66425	0.404284	0.188719	1.423154	1.535614	-0.461776
7,645	train	H1	H08	20	20	20	35	30	-0.708104	0.74831	0.491122	0.483911	0.77133	1.062729	0.824405	0.483911	0.74831	0.432386	0.23417	0.382714	0.558534	0.001364	0.000265	-0.785116
7,645	train	H0	H08	30	30	20	16.666667	23.333333	0.426555	-0.268526	-1.148538	-1.175963	4.639558	5.159749	4.890379	-1.175963	1.148538	0.08671	1.382889	0.466703	0.072134	3.736586	3.747969	0.285022
7,645	train	H1	H08	30	30	20	16.666667	26.666667	-0.284747	0.335421	-0.476812	-0.472812	3.565912	3.90336	3.767621	-0.472812	0.476812	0.15201	0.223551	0.000095	0.123322	1.805001	1.74768	-0.343567
7,645	train	H0	H08	50	50	20	26	20	0.334	-0.328656	-0.335241	-0.33375	0.11181	0.455735	0.116242	-0.33375	0.335241	0.749051	0.111389	0.096252	0.097963	0.031061	0.020925	0.319891
7,645	train	H1	H08	50	50	20	34	24	-0.429164	0.453528	0.285507	0.281487	0.30706	0.564813	0.262243	0.281487	0.453528	0.619415	0.079235	0.181842	0.216354	0.001366	0.017363	-0.496679
7,645	train	H0	H08	75	75	20	17.333333	16	0.595748	-0.541524	-0.780023	-0.780512	0.609201	3.366561	0.673736	-0.780512	0.780023	0.338485	0.609199	0.546574	0.29064	0.577296	0.695861	0.549378
7,645	train	H1	H08	75	75	20	17.333333	14.666667	2.074739	-2.084705	-2.138416	-2.214947	4.920072	9.251131	4.921912	2.074739	2.138416	0.026132	4.90599	4.423025	4.333056	3.276204	3.190025	2.141139
7,645	train	H0	H08	100	100	20	26	18	1.446887	-1.491623	-1.35728	-1.390128	1.946075	10.81595	2.131113	1.446887	1.491623	0.012764	1.932455	1.862203	2.226826	0.912316	0.835697	1.548642
7,645	train	H1	H08	100	100	20	24	27	-0.283336	0.383088	-0.182556	-0.181856	1.084133	2.668382	1.312518	-0.181856	0.383088	0.445627	0.033072	0.023899	0.147824	0.583683	0.64159	-0.394151
7,645	train	H0	H08	150	150	20	23.333333	16	-1.175208	1.108683	1.59757	1.601914	3.212447	4.369538	2.983247	-1.175208	1.59757	0.224227	2.566127	1.642725	1.237765	3.066184	2.952116	-1.15705
7,645	train	H1	H08	150	150	20	22.666667	18	-0.319563	0.295494	0.274228	0.273611	0.141135	0.209355	0.103216	-0.319563	0.295494	0.754837	0.074863	0.121689	0.089018	0.026541	0.019386	-0.312267
7,645	train	H0	H08	200	200	20	21	22.5	0.20915	-0.240888	-0.222271	-0.222281	0.079378	1.035049	0.049715	0.20915	0.240888	0.792772	0.049409	0.021709	0.05751	0.027053	0.021258	0.247896
7,645	train	H1	H08	200	200	20	17	14.5	1.079154	-1.078674	-1.116798	-1.125191	1.28251	5.287549	1.284989	1.079154	1.116798	0.151912	1.266055	1.050465	1.160588	0.765494	0.718941	1.099152
7,645	train	H0	H08	300	300	20	20.666667	20.666667	0.225681	-0.159873	-0.462153	-0.461614	0.283238	1.641963	0.420459	-0.461614	0.462153	0.649913	0.213087	0.116963	0.025041	0.369999	0.414589	0.164193
7,645	train	H1	H08	300	300	20	18	21.666667	0.377356	-0.319134	-0.820176	-0.819565	1.362428	1.361777	1.380466	-0.819565	0.820176	0.501459	0.671687	0.284069	0.100795	1.258352	1.200754	0.329191
7,645	train	H0	H08	500	500	20	18.8	19.8	0.232062	-0.294794	0.273785	0.273856	1.098717	2.160621	1.278665	0.232062	0.294794	0.527645	0.074997	0.006139	0.086008	0.663703	0.699789	0.303758
7,645	train	H1	H08	500	500	20	17.8	18	0.47051	-0.324436	-1.715348	-1.726509	8.831548	8.72294	9.135533	-1.726509	1.715348	0.010381	2.980832	0.783348	0.104552	7.619334	7.563664	0.334756
7,645	train	H0	H08	1,000	1,000	20	21.6	20.3	-0.838342	0.838968	0.794697	0.794566	0.684156	0.666014	0.71016	-0.838342	0.838968	0.383085	0.631335	0.679654	0.706109	0.291514	0.316951	-0.872227
7,645	train	H1	H08	1,000	1,000	20	20.9	20.3	1.374799	-1.211648	-2.636123	-2.656268	13.677811	14.037844	13.144714	-2.656268	2.636123	0.001398	7.055758	3.052602	1.465952	12.634888	12.534083	1.253447

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