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
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7,647	train	H1	H18	20	20	0	0	0	0.568052	-0.568052	-0.665312	-0.657236	0.49088	3.003582	0.433829	-0.657236	0.665312	0.391073	0.431959	0.31183	0.320844	0.255112	0.170081	0.575288
7,647	train	H0	H18	30	30	0	0	0	-0.576593	0.576593	0.036838	0.036259	1.18048	1.215218	1.303135	-0.576593	0.576593	0.521228	0.001315	0.132656	0.331048	0.259879	0.222355	-0.581458
7,647	train	H1	H18	30	30	0	0	0	1.774131	-1.774131	-1.079673	-1.072449	3.977668	3.623341	4.275291	1.774131	1.774131	0.073598	1.150147	2.303076	3.183376	0.007334	0.030257	1.789103
7,647	train	H0	H18	50	50	0	0	0	0.296434	-0.296434	0.465824	0.462898	1.814661	2.475801	2.340683	0.296434	0.465824	0.310261	0.214274	0.001874	0.087794	1.29284	1.301742	0.297928
7,647	train	H1	H18	50	50	0	0	0	0.103407	-0.103407	0.149666	0.148378	0.46203	1.81851	0.259896	0.103407	0.149666	0.610915	0.022016	0.003091	0.010648	0.192315	0.131543	0.103928
7,647	train	H0	H18	75	75	0	0	0	-0.392787	0.392787	0.73248	0.728095	0.773433	0.784435	0.780039	0.728095	0.73248	0.677044	0.530122	0.280092	0.154	0.841807	0.824302	-0.391467
7,647	train	H1	H18	75	75	0	0	0	1.366298	-1.366298	-0.683394	-0.677698	2.499345	2.329862	2.961009	1.366298	1.366298	0.173291	0.459275	1.19053	1.870608	0.038443	0.024341	1.361705
7,647	train	H0	H18	100	100	0	0	0	2.164843	-2.164843	-2.196871	-2.222282	5.223943	5.313874	5.147722	2.164843	2.196871	0.029986	4.938537	5.146216	4.708053	2.87096	2.984912	2.170275
7,647	train	H1	H18	100	100	0	0	0	-0.667045	0.667045	0.244822	0.244294	1.468566	2.621818	0.927202	0.244294	0.667045	0.453677	0.05968	0.362852	0.444568	0.064258	0.033201	-0.668719
7,647	train	H0	H18	150	150	0	0	0	0.232945	-0.232945	-0.805429	-0.803494	1.224187	1.486195	1.545565	-0.803494	0.805429	0.461727	0.645602	0.262837	0.054221	1.319182	1.326484	0.233335
7,647	train	H1	H18	150	150	0	0	0	0.242263	-0.242263	0.076338	0.076117	0.142538	2.674149	0.400221	0.242263	0.242263	0.444638	0.005794	0.003779	0.058643	0.160877	0.21434	0.242668
7,647	train	H0	H18	200	200	0	0	0	-0.30965	0.30965	0.975634	0.9776	2.419359	2.645498	2.195865	-0.30965	0.975634	0.33356	0.955702	0.279699	0.095824	2.001149	1.975002	-0.310038
7,647	train	H1	H18	200	200	0	0	0	1.417645	-1.417645	-0.842859	-0.842397	3.09171	4.046893	2.646103	-0.842397	1.417645	0.155777	0.709633	1.627893	2.010584	0.001505	0.009876	1.41942
7,647	train	H0	H18	300	300	0	0	0	-0.878438	0.878438	0.812175	0.81028	0.682585	1.685976	0.780582	-0.878438	0.878438	0.379309	0.656554	0.683314	0.771343	0.298784	0.26724	-0.879171
7,647	train	H1	H18	300	300	0	0	0	1.915607	-1.915607	-1.200717	-1.199803	4.44486	5.48544	4.549837	1.915607	1.915607	0.055212	1.439527	2.964798	3.676005	0.038967	0.034757	1.917205
7,647	train	H0	H18	500	500	0	0	0	-0.114745	0.114745	0.165229	0.165142	0.160063	3.109051	0.030617	0.165142	0.165229	0.375115	0.027272	0.003822	0.013162	0.034408	0.021766	-0.114803
7,647	train	H1	H18	500	500	0	0	0	-0.104453	0.104453	1.284153	1.286441	4.303967	7.101278	5.866179	1.286441	1.284153	0.053232	1.65493	0.458088	0.010917	4.583474	4.760047	-0.104506
7,647	train	H0	H18	1,000	1,000	0	0	0	-0.611004	0.611004	0.935476	0.935479	1.092119	1.163996	1.037592	-0.611004	0.935476	0.541096	0.87512	0.51713	0.373285	1.039093	1.005029	-0.611157
7,647	train	H1	H18	1,000	1,000	0	0	0	3.564035	-3.564035	-1.308427	-1.310946	21.342901	28.285492	25.635851	3.564035	3.564035	0.000003	1.718581	7.486496	12.729164	1.395432	1.44501	3.564927
7,647	train	H0	H18	20	20	10	15	5	0.791266	-0.822247	0.069515	0.068801	4.278236	4.268193	4.148814	0.791266	0.822247	0.125631	0.004734	0.232762	0.678029	1.194663	1.012453	0.817132
7,647	train	H1	H18	20	20	10	5	10	1.117097	-1.113976	-0.744484	-0.735948	1.701438	1.711813	1.676207	1.117097	1.113976	0.262507	0.541619	0.978959	1.243343	0.005374	0.014158	1.120485
7,647	train	H0	H18	30	30	10	0	0	-0.088707	0.088707	0.464653	0.45966	0.733107	1.098681	0.67405	-0.088707	0.464653	0.713891	0.211287	0.056373	0.007827	0.686368	0.595734	-0.089455
7,647	train	H1	H18	30	30	10	23.333333	6.666667	1.851461	-1.945399	-1.004071	-1.031379	5.893275	7.101046	6.331185	1.851461	1.945399	0.042189	1.063742	2.636075	3.903116	0.042233	0.030592	2.002305
7,647	train	H0	H18	50	50	10	8	4	-0.879865	0.867845	1.157307	1.154109	1.409585	1.496213	1.439818	-0.879865	1.157307	0.378365	1.331967	1.04773	0.751294	1.519179	1.570648	-0.880913
7,647	train	H1	H18	50	50	10	8	0	-0.2936	0.277417	1.306455	1.323712	6.093642	6.047401	5.893011	1.323712	1.306455	0.052523	1.752214	0.495384	0.076804	4.912204	4.71238	-0.286461
7,647	train	H0	H18	75	75	10	8	4	1.155583	-1.163011	-1.191665	-1.194892	1.451694	1.595651	1.470301	1.155583	1.191665	0.244226	1.427767	1.440089	1.354998	0.765983	0.767143	1.164489
7,647	train	H1	H18	75	75	10	8	10.666667	1.471522	-1.480795	-1.339073	-1.331904	2.104932	2.41884	2.172063	-1.331904	1.480795	0.136082	1.773969	2.125475	2.197013	0.629402	0.618655	1.490542
7,647	train	H0	H18	100	100	10	9	16	-0.351975	0.411716	0.005627	0.005589	0.176647	3.156089	0.594	-0.351975	0.411716	0.36818	0.000031	0.025179	0.169439	0.136068	0.197376	-0.418065
7,647	train	H1	H18	100	100	10	13	8	-0.385167	0.380518	0.198258	0.197324	0.3302	0.93766	0.257235	-0.385167	0.380518	0.699822	0.038937	0.111243	0.144494	0.000856	0.001141	-0.385561
7,647	train	H0	H18	150	150	10	10.666667	16.666667	0.312737	-0.262042	-0.710815	-0.70982	0.886245	3.1478	1.115141	0.312737	0.710815	0.369394	0.503844	0.234686	0.068603	0.957138	1.092897	0.266519
7,647	train	H1	H18	150	150	10	13.333333	9.333333	0.957131	-1.005667	-0.133645	-0.133195	3.229404	4.553817	3.462199	0.957131	1.005667	0.17709	0.017741	0.49676	1.011786	0.662673	0.705939	1.017697
7,647	train	H0	H18	200	200	10	9.5	10	0.126566	-0.092581	-0.663344	-0.663872	1.956465	3.496333	1.571283	0.126566	0.663344	0.321238	0.440727	0.066782	0.008564	1.201489	1.085146	0.094117
7,647	train	H1	H18	200	200	10	14	7.5	-0.828972	0.784638	1.174055	1.169846	1.444827	2.919995	1.591501	-0.828972	1.174055	0.404125	1.36854	1.016022	0.615442	1.599277	1.770309	-0.795193
7,647	train	H0	H18	300	300	10	12	9	0.231016	-0.247562	0.078625	0.078524	0.584985	0.695044	0.475129	0.231016	0.247562	0.788546	0.006166	0.025347	0.06126	0.183136	0.192941	0.248656
7,647	train	H1	H18	300	300	10	12.666667	10.333333	0.759231	-0.788548	-0.568997	-0.569329	0.369528	3.950177	0.638608	0.759231	0.788548	0.266895	0.324136	0.37397	0.621792	0.036203	0.030315	0.796726
7,647	train	H0	H18	500	500	10	10	7.8	-1.038301	1.03948	0.971294	0.96959	1.021282	1.208357	1.088363	-1.038301	1.03948	0.295572	0.940104	1.017635	1.080303	0.427836	0.408564	-1.045976
7,647	train	H1	H18	500	500	10	9.8	10.6	1.03422	-1.061024	-0.479224	-0.479219	0.538494	15.366346	2.064248	1.03422	1.061024	0.001529	0.229651	0.358441	1.126666	0.061029	0.09136	1.067495
7,647	train	H0	H18	1,000	1,000	10	10.8	10	1.155657	-1.124352	-1.18879	-1.189302	1.888142	7.838866	1.4583	-1.189302	1.18879	0.049462	1.414439	1.759012	1.264335	0.845918	0.921981	1.13179
7,647	train	H1	H18	1,000	1,000	10	11	11	4.598375	-4.632082	-3.637746	-3.653092	19.733836	22.236258	22.324448	4.598375	4.632082	0.000003	13.345084	17.893853	21.527294	2.87561	2.866773	4.670089
7,647	train	H0	H18	20	20	20	25	15	-0.338102	0.326676	0.524066	0.518172	0.487651	1.118192	0.443073	0.518172	0.524066	0.728445	0.268502	0.163522	0.105824	0.634038	0.603577	-0.347195
7,647	train	H1	H18	20	20	20	25	15	-0.514497	0.478337	0.73156	0.715846	0.747053	2.154611	0.644944	0.715846	0.73156	0.540944	0.512436	0.295414	0.228015	0.86348	0.706065	-0.517451
7,647	train	H0	H18	30	30	20	23.333333	26.666667	-0.072787	0.039242	0.301538	0.304611	0.58221	0.776914	0.53222	-0.072787	0.301538	0.766355	0.092788	0.019974	0.001532	0.452867	0.447621	-0.03562
7,647	train	H1	H18	30	30	20	16.666667	13.333333	0.620652	-0.59411	-0.617488	-0.615863	0.430496	0.959997	0.398908	-0.615863	0.617488	0.545477	0.379287	0.412966	0.352634	0.136231	0.151035	0.604551
7,647	train	H0	H18	50	50	20	20	14	-0.101852	0.146832	0.08093	0.080071	0.036886	0.573928	0.011267	0.080071	0.146832	0.879516	0.006411	0.03065	0.021492	0.013023	0.033313	-0.151583
7,647	train	H1	H18	50	50	20	16	24	1.506093	-1.451039	-1.33127	-1.319541	2.466307	3.122442	2.281696	-1.319541	1.451039	0.138172	1.741187	2.181379	2.11042	0.50957	0.686724	1.482633
7,647	train	H0	H18	75	75	20	13.333333	21.333333	0.111789	-0.125893	0.024952	0.025049	0.233141	1.331314	0.11516	0.025049	0.125893	0.721711	0.000627	0.015551	0.015815	0.066169	0.042155	0.126537
7,647	train	H1	H18	75	75	20	14.666667	26.666667	0.938379	-0.854197	-1.414628	-1.410808	3.227847	4.696907	2.865897	-1.410808	1.414628	0.195385	1.990378	1.047869	0.728304	2.691232	2.530127	0.868546
7,647	train	H0	H18	100	100	20	16	20	-0.474467	0.486973	0.25516	0.253485	0.327329	0.564914	0.413149	-0.474467	0.486973	0.622207	0.064255	0.144309	0.236911	0.001482	0.003228	-0.492725
7,647	train	H1	H18	100	100	20	13	19	0.289109	-0.291606	-0.441653	-0.439418	0.389138	1.549856	0.259551	-0.439418	0.441653	0.670812	0.193088	0.081153	0.084871	0.221894	0.186004	0.297913
7,647	train	H0	H18	150	150	20	15.333333	17.333333	0.027628	0.043971	-0.68169	-0.681796	3.299774	5.672541	2.590552	-0.681796	0.68169	0.128675	0.464846	0.023093	0.001932	1.810321	1.672029	-0.041987
7,647	train	H1	H18	150	150	20	19.333333	18.666667	1.358852	-1.43434	-0.560753	-0.559178	4.396236	4.147977	4.53838	1.358852	1.43434	0.103396	0.31268	1.263596	2.060626	0.34715	0.295015	1.450958
7,647	train	H0	H18	200	200	20	20.5	17.5	-0.411994	0.357396	0.554431	0.552879	0.315399	1.480408	0.356938	0.552879	0.554431	0.686799	0.305675	0.23614	0.127641	0.376246	0.44194	-0.362052
7,647	train	H1	H18	200	200	20	18.5	20.5	0.327766	-0.385471	0.253933	0.254508	2.086896	2.080031	2.056683	0.327766	0.385471	0.3576	0.064774	0.018289	0.148486	0.932573	0.876883	0.394629
7,647	train	H0	H18	300	300	20	16.666667	19.666667	0.110431	-0.05962	-0.563611	-0.562776	1.377145	1.918002	1.231027	-0.562776	0.563611	0.540363	0.316717	0.057069	0.003553	0.899486	0.82548	0.062118
7,647	train	H1	H18	300	300	20	16.666667	18	1.201343	-1.217502	-0.934784	-0.933408	1.349231	2.719255	1.592933	1.201343	1.217502	0.216791	0.871251	1.175363	1.48312	0.119481	0.102614	1.235106
7,647	train	H0	H18	500	500	20	17.4	16.6	-0.391965	0.376571	0.449806	0.448988	0.229103	0.384366	0.202979	-0.391965	0.449806	0.703223	0.201591	0.124903	0.14178	0.17699	0.185095	-0.380973
7,647	train	H1	H18	500	500	20	18.6	19.2	2.136196	-2.356529	-0.360859	-0.361848	18.437077	19.185036	19.746016	2.136196	2.356529	0.000052	0.130934	2.569818	5.562555	3.493599	3.408974	2.38719
7,647	train	H0	H18	1,000	1,000	20	17.3	19.7	1.156876	-1.061478	-1.596334	-1.596575	2.758426	6.727391	3.081747	-1.596575	1.596334	0.081113	2.549052	1.911443	1.126632	3.015485	3.148015	1.074613
7,647	train	H1	H18	1,000	1,000	20	20.7	19.9	2.033095	-2.23411	-0.548058	-0.548585	13.26745	13.639352	14.417129	2.033095	2.23411	0.00074	0.300946	2.544559	4.996038	2.04884	2.008099	2.271691
7,647	train	H0	H18	20	20	30	25	25	-1.642529	1.581507	1.555205	1.603012	2.646746	7.496846	2.752438	1.603012	1.581507	0.05764	2.569647	2.400713	2.530631	1.397422	1.190252	-1.633332
7,647	train	H1	H18	20	20	30	25	20	0.539563	-0.603198	-0.197055	-0.193133	0.766698	2.093051	0.929873	0.539563	0.603198	0.536141	0.0373	0.179162	0.362401	0.198107	0.240231	0.618659
7,647	train	H0	H18	30	30	30	36.666667	23.333333	-0.281268	0.220443	0.443377	0.435908	0.300574	0.902428	0.344819	0.435908	0.443377	0.813	0.190016	0.113493	0.048333	0.547041	0.630728	-0.236558
7,647	train	H1	H18	30	30	30	23.333333	36.666667	0.609324	-0.65514	-0.409719	-0.407921	0.601759	1.083006	0.657426	-0.407921	0.65514	0.49911	0.166399	0.290313	0.427037	0.011978	0.01746	0.675891
7,647	train	H0	H18	50	50	30	34	40	1.082978	-1.079095	-1.206259	-1.209853	1.487885	1.958069	1.514723	1.082978	1.206259	0.270107	1.463744	1.464006	1.166392	1.228068	1.269525	1.102816
7,647	train	H1	H18	50	50	30	28	28	0.92142	-0.918113	-0.932598	-0.934296	0.873129	2.257804	0.890542	0.92142	0.932598	0.343235	0.872909	0.784085	0.842108	0.431693	0.346035	0.947792
7,647	train	H0	H18	75	75	30	30.666667	33.333333	-0.026219	-0.067028	0.296553	0.295866	0.543133	0.903412	0.612845	-0.026219	0.296553	0.736076	0.087537	0.009889	0.004485	0.501998	0.514499	0.063986
7,647	train	H1	H18	75	75	30	37.333333	25.333333	-0.543059	0.45177	0.926164	0.922256	2.123998	4.945878	1.835668	-0.543059	0.926164	0.175803	0.850556	0.325651	0.203675	1.774958	1.566418	-0.471588
7,647	train	H0	H18	100	100	30	30	25	-0.846727	0.733859	1.211859	1.218786	1.998653	3.409587	2.178651	1.218786	1.211859	0.332679	1.485439	0.960871	0.538182	2.326274	2.439761	-0.746954
7,647	train	H1	H18	100	100	30	25	22	0.803934	-0.855515	-0.53906	-0.539133	0.677921	2.156459	0.921049	0.803934	0.855515	0.381575	0.290664	0.465735	0.732744	0.000165	0.000003	0.874998
7,647	train	H0	H18	150	150	30	28.666667	27.333333	0.242322	-0.220738	-0.328109	-0.328053	0.12251	0.366329	0.140577	0.242322	0.328109	0.822411	0.107619	0.089286	0.048696	0.103889	0.108582	0.224445
7,647	train	H1	H18	150	150	30	20.666667	32	2.209457	-2.124523	-2.277476	-2.286677	5.346933	6.785604	5.274056	-2.286677	2.277476	0.030487	5.228891	5.159881	4.513903	3.264284	3.566905	2.163704
7,647	train	H0	H18	200	200	30	27	33	0.399277	-0.413861	-0.458104	-0.456821	0.246394	1.990676	0.214975	-0.456821	0.458104	0.574344	0.208686	0.158164	0.171152	0.157515	0.103591	0.423183
7,647	train	H1	H18	200	200	30	27	28.5	0.972862	-1.139317	-0.254883	-0.255039	3.914382	4.601445	4.101624	0.972862	1.139317	0.12863	0.065045	0.680139	1.298914	0.679958	0.685455	1.161117
7,647	train	H0	H18	300	300	30	27.333333	27.666667	0.668416	-0.718045	-0.479596	-0.479293	0.577103	0.690973	0.601411	0.668416	0.718045	0.464131	0.229722	0.406186	0.51556	0.004278	0.005268	0.732062
7,647	train	H1	H18	300	300	30	32.333333	28.666667	-0.298178	0.263773	0.404134	0.404301	0.193742	0.34092	0.215647	-0.298178	0.404134	0.786885	0.163459	0.124398	0.069544	0.251955	0.254043	-0.270358
7,647	train	H0	H18	500	500	30	30.6	29.6	0.745234	-0.769367	-0.656246	-0.6562	0.525818	1.081277	0.569157	0.745234	0.769367	0.431342	0.430599	0.509951	0.591995	0.110295	0.096546	0.786897
7,647	train	H1	H18	500	500	30	28.6	31.6	2.798878	-2.829455	-2.304904	-2.307722	8.755732	8.847853	8.587272	-2.307722	2.829455	0.003811	5.325581	7.380886	8.020492	1.057685	1.129859	2.893387
7,647	train	H0	H18	1,000	1,000	30	31	30.9	-0.246335	0.419934	-0.403059	-0.403066	2.982278	3.249918	3.266297	-0.403066	0.419934	0.195314	0.162463	0.006789	0.176357	1.628357	1.588431	-0.428767
7,647	train	H1	H18	1,000	1,000	30	27.4	28.3	1.341837	-1.48474	-0.454634	-0.454316	6.348669	5.862788	6.417591	1.341837	1.48474	0.040405	0.206403	1.22984	2.205171	0.845191	0.784523	1.513518
7,647	train	H0	H18	20	20	40	55	50	0.152462	-0.476261	0.224781	0.221792	2.318991	10.867025	2.665831	0.221792	0.476261	0.012467	0.049192	0.012656	0.225872	1.571309	1.797712	0.475416
7,647	train	H1	H18	20	20	40	25	25	0.645669	-0.59327	-0.78495	-0.786236	0.715232	1.011349	0.691908	-0.786236	0.78495	0.520181	0.618168	0.446181	0.351534	0.417441	0.371796	0.643067
7,647	train	H0	H18	30	30	40	23.333333	43.333333	0.84499	-0.681112	-1.173388	-1.170455	1.917843	3.704336	2.058875	-1.170455	1.173388	0.295211	1.369966	0.886496	0.462466	1.761889	1.850578	0.72703
7,647	train	H1	H18	30	30	40	40	50	0.256592	-0.402618	-0.24376	-0.239584	0.058076	1.490113	0.069877	-0.239584	0.402618	0.676922	0.057401	0.095805	0.161613	0.000003	0.010584	0.416667
7,647	train	H0	H18	50	50	40	42	42	0.141286	-0.278601	0.143435	0.142325	0.968043	1.642228	0.858047	0.141286	0.278601	0.649853	0.020256	0.023467	0.077379	0.470943	0.458254	0.285298
7,647	train	H1	H18	50	50	40	34	44	1.40906	-1.507985	-1.022868	-1.012618	3.006903	3.049641	2.989502	1.40906	1.507985	0.119835	1.025395	1.888603	2.270636	0.005185	0.013657	1.555466
7,647	train	H0	H18	75	75	40	38.666667	45.333333	0.712148	-0.730563	-0.588983	-0.58527	0.609367	0.665852	0.592668	-0.58527	0.730563	0.453492	0.34254	0.482379	0.532498	0.017679	0.023873	0.749606
7,647	train	H1	H18	75	75	40	50.666667	44	-0.404887	0.402907	0.308262	0.308342	0.251256	1.90103	0.296023	0.308342	0.402907	0.5932	0.095075	0.103493	0.162342	0.011927	0.004446	-0.419144
7,647	train	H0	H18	100	100	40	40	38	-0.801191	0.924681	0.420449	0.419255	1.91142	2.445537	2.034022	-0.801191	0.924681	0.341535	0.175775	0.506785	0.855111	0.123187	0.12744	-0.951137
7,647	train	H1	H18	100	100	40	45	41	1.325507	-1.53193	-0.875575	-0.889188	3.9949	4.041512	3.9503	-0.889188	1.53193	0.106802	0.790655	1.707416	2.352572	0.031455	0.025375	1.612738
7,647	train	H0	H18	150	150	40	39.333333	37.333333	-1.649314	1.729222	1.160576	1.161892	4.660193	5.878521	4.341463	-1.649314	1.729222	0.074496	1.349993	2.540029	2.991376	0.000127	0.002465	-1.783558
7,647	train	H1	H18	150	150	40	44.666667	45.333333	1.155946	-1.351681	-0.80139	-0.800866	1.986962	4.911992	2.375129	1.155946	1.351681	0.160461	0.641387	1.146602	1.828307	0.00822	0.012423	1.403524
7,647	train	H0	H18	200	200	40	40	42.5	0.888609	-0.873328	-0.846669	-0.845018	0.801101	0.822914	0.788993	0.888609	0.873328	0.368784	0.714055	0.822632	0.76244	0.258294	0.255064	0.898753
7,647	train	H1	H18	200	200	40	40	42	0.374144	-0.257594	-0.587041	-0.587207	0.607361	3.309058	0.741664	-0.587207	0.587041	0.346384	0.344812	0.217476	0.066313	0.627918	0.666082	0.266126
7,647	train	H0	H18	300	300	40	49.333333	40	-2.782887	2.780168	2.648119	2.652957	7.683541	8.57006	7.770514	-2.782887	2.780168	0.004131	7.03818	7.575933	7.740641	3.052972	3.060629	-2.868006
7,647	train	H1	H18	300	300	40	42.333333	36.666667	-1.038314	0.930648	1.233462	1.23039	1.605558	1.97355	1.656438	-1.038314	1.233462	0.335279	1.513859	1.207848	0.865785	1.637137	1.714477	-0.963536
7,647	train	H0	H18	500	500	40	42.4	43.8	0.471836	-0.478318	-0.444851	-0.444353	0.22268	0.225178	0.223013	0.471836	0.478318	0.621568	0.197449	0.228356	0.228718	0.062609	0.064834	0.493629
7,647	train	H1	H18	500	500	40	38.2	36.6	0.46066	-0.498217	-0.388386	-0.388381	0.197796	0.942315	0.233691	0.46066	0.498217	0.606629	0.15084	0.186374	0.248175	0.021024	0.020726	0.514891
7,647	train	H0	H18	1,000	1,000	40	41.7	38.7	-1.501338	1.239889	1.991652	1.99274	5.514072	5.526366	5.514873	1.99274	1.991652	0.063454	3.971013	2.387547	1.537515	5.640336	5.630308	-1.281078
7,647	train	H1	H18	1,000	1,000	40	39	40.2	2.438695	-2.536254	-1.957852	-1.959451	7.298765	7.098747	7.296711	2.438695	2.536254	0.008877	3.839446	5.60338	6.439747	0.432009	0.456551	2.61674

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