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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7,643	train	H1	H08	20	20	20	20	20	0.660745	-0.686838	-0.250878	-0.250123	1.768648	5.300833	1.303178	-0.250123	0.686838	0.151048	0.062562	0.361729	0.450128	0.138102	0.045926	0.712674
7,643	train	H0	H08	30	30	20	10	3.333333	-0.335816	0.345835	0.099303	0.097694	0.389824	0.561277	0.303008	0.097694	0.345835	0.722097	0.009544	0.080077	0.118964	0.022802	0.006712	-0.355658
7,643	train	H1	H08	30	30	20	16.666667	26.666667	0.242848	-0.358685	0.254676	0.260938	2.680476	5.531004	2.236622	0.260938	0.358685	0.136796	0.068089	0.026069	0.128336	1.042227	0.894342	0.346728
7,643	train	H0	H08	50	50	20	22	20	-0.133255	0.148082	-0.062488	-0.06173	0.059865	1.825045	0.189454	-0.06173	0.148082	0.6095	0.003811	0.000566	0.028501	0.046149	0.094582	-0.177464
7,643	train	H1	H08	50	50	20	22	12	-0.871025	0.880461	0.814078	0.805189	0.65923	4.171382	0.759802	-0.871025	0.880461	0.243543	0.64833	0.665049	0.793094	0.290849	0.205639	-0.928356
7,643	train	H0	H08	75	75	20	17.333333	22.666667	0.509023	-0.466138	-0.6592	-0.65468	0.428606	2.036402	0.471272	0.509023	0.6592	0.564886	0.428606	0.414952	0.213163	0.420651	0.544152	0.4758
7,643	train	H1	H08	75	75	20	18.666667	21.333333	1.68711	-1.710513	-1.555407	-1.562745	2.669096	4.989124	2.863391	1.68711	1.710513	0.083098	2.442171	2.67374	2.939937	0.962591	0.915515	1.732984
7,643	train	H0	H08	100	100	20	23	17	-0.063068	0.133392	-0.332639	-0.332848	0.401359	4.170514	0.820478	-0.332848	0.332639	0.243631	0.110788	0.012169	0.018142	0.508213	0.669313	-0.137518
7,643	train	H1	H08	100	100	20	23	22	0.906784	-0.955529	-0.617142	-0.613858	0.938867	2.32625	1.11428	0.906784	0.955529	0.327674	0.376822	0.692063	0.910361	0.002056	0.00007	0.978809
7,643	train	H0	H08	150	150	20	24.666667	16	-0.318972	0.323446	0.304628	0.303803	0.097426	0.188314	0.102816	-0.318972	0.323446	0.729873	0.092296	0.103851	0.109909	0.062737	0.06144	-0.345294
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7,643	train	H0	H08	200	200	20	19	25.5	0.850867	-0.932505	-0.325469	-0.324338	1.677027	1.574513	1.867185	0.850867	0.932505	0.335316	0.105195	0.486644	0.86822	0.196254	0.176244	0.963461
7,643	train	H1	H08	200	200	20	22	18	0.965766	-0.904723	-1.185965	-1.19393	1.478296	1.599904	1.504011	-1.19393	1.185965	0.349761	1.425469	1.090972	0.813618	1.329958	1.329223	0.935053
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7,643	train	H1	H08	300	300	20	19	22	1.855521	-1.798363	-2.10947	-2.115667	4.495748	4.928164	4.497797	-2.115667	2.10947	0.064188	4.476046	3.977605	3.237132	3.515466	3.399741	1.850872
7,643	train	H0	H08	500	500	20	19.4	21.2	0.953788	-0.93483	-1.310399	-1.309959	2.259476	3.731408	1.97799	-1.309959	1.310399	0.291966	1.715992	1.044152	0.870184	1.864527	1.756358	0.972044
7,643	train	H1	H08	500	500	20	21.2	19.8	-0.236088	0.29208	-0.33233	-0.332223	1.571773	2.882731	1.680391	-0.236088	0.33233	0.410061	0.110372	0.00707	0.08623	0.884766	0.949365	-0.303671
7,643	train	H0	H08	1,000	1,000	20	17.9	19.7	1.565374	-1.620301	-0.989635	-0.988995	3.024673	3.649047	3.331063	1.565374	1.620301	0.093747	0.978111	1.979323	2.623252	0.002988	0.001489	1.675953
7,643	train	H1	H08	1,000	1,000	20	19.4	20.3	1.294282	-1.126452	-2.728698	-2.747772	16.400213	17.00758	15.403046	-2.747772	2.728698	0.000452	7.550252	2.91797	1.265687	14.481195	14.416402	1.167128
7,643	train	H0	H08	20	20	30	5	45	0.762217	-0.67749	-1.480919	-1.476857	4.746303	5.510052	4.505272	-1.476857	1.480919	0.105122	2.181107	1.011593	0.434323	3.846172	3.556966	0.783454
7,643	train	H1	H08	20	20	30	30	25	-0.790339	0.915273	0.319342	0.312856	1.7716	1.79071	1.853501	0.312856	0.915273	0.335721	0.097879	0.467601	0.838485	0.144129	0.112843	-0.962655
7,643	train	H0	H08	30	30	30	20	26.666667	-1.225069	1.1343	1.484553	1.563241	2.938235	3.558536	2.82631	1.563241	1.484553	0.213686	2.443723	1.753043	1.336285	3.174398	3.086097	-1.243493
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7,643	train	H0	H08	50	50	30	26	44	1.806861	-1.807438	-1.743777	-1.730925	3.174857	4.245646	3.271453	-1.730925	1.807438	0.055261	2.996101	3.153069	3.243081	1.354285	1.248619	1.916818
7,643	train	H1	H08	50	50	30	30	24	0.955163	-0.915131	-1.326991	-1.378077	3.168207	7.469581	2.846047	-1.378077	1.326991	0.058345	1.899095	1.169869	0.832303	2.761688	2.61658	0.970769
7,643	train	H0	H08	75	75	30	33.333333	41.333333	2.700348	-2.675598	-2.517082	-2.553677	7.461872	7.514829	7.379368	-2.553677	2.675598	0.004027	6.521264	7.383393	7.131478	2.77976	2.982289	2.876046
7,643	train	H1	H08	75	75	30	33.333333	24	0.17257	-0.244889	-0.061511	-0.061787	0.026042	4.106269	0.10896	0.17257	0.244889	0.250215	0.003818	0.011867	0.05578	0.014163	0.031743	0.247801
7,643	train	H0	H08	100	100	30	35	41	-0.338528	0.236056	0.564991	0.567176	0.49798	2.21218	0.617339	-0.338528	0.564991	0.529553	0.321688	0.202545	0.060367	0.669631	0.736184	-0.266464
7,643	train	H1	H08	100	100	30	32	38	0.182193	-0.021476	-0.794283	-0.792788	3.058881	3.260113	3.100493	-0.792788	0.794283	0.212196	0.628514	0.11024	0.000397	2.200874	2.220916	0.030302
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7,643	train	H1	H08	150	150	30	27.333333	30.666667	2.172814	-2.201917	-1.807871	-1.811107	5.385008	6.977074	4.969505	-1.811107	2.201917	0.01963	3.28011	4.700173	4.839667	0.795072	0.996514	2.333343
7,643	train	H0	H08	200	200	30	31.5	27	-0.76622	0.76924	0.546449	0.546422	0.85962	1.417076	0.753975	-0.76622	0.76924	0.413404	0.298577	0.535195	0.598047	0.017166	0.034309	-0.817918
7,643	train	H1	H08	200	200	30	27.5	30.5	1.058224	-0.999465	-1.22613	-1.229011	1.537013	2.346331	1.557472	-1.229011	1.22613	0.298635	1.510469	1.267954	0.992378	1.316459	1.365145	1.039365
7,643	train	H0	H08	300	300	30	29.666667	33	0.053935	0.048678	-0.44204	-0.441178	0.92571	0.87832	0.993678	-0.441178	0.44204	0.608451	0.194638	0.024816	0.00269	0.682744	0.670494	-0.054231
7,643	train	H1	H08	300	300	30	38	28.333333	0.801512	-0.848248	-0.570056	-0.573958	0.815892	0.67724	0.881582	-0.573958	0.848248	0.371488	0.329427	0.518409	0.713193	0.005712	0.01656	0.89369
7,643	train	H0	H08	500	500	30	32.8	29.2	-1.228397	1.082626	1.685712	1.689122	3.433961	3.856604	3.52943	1.689122	1.685712	0.171236	2.853135	1.863373	1.179653	3.563643	3.706096	-1.158298
7,643	train	H1	H08	500	500	30	28.8	28.6	-0.161217	0.225571	-0.414468	-0.414575	2.605507	4.216953	2.050578	-0.414575	0.414468	0.23897	0.171873	0.006377	0.051866	1.175951	1.142905	-0.239374
7,643	train	H0	H08	1,000	1,000	30	30.3	29.1	1.64527	-1.64728	-1.443811	-1.446263	2.786356	2.801098	2.724104	1.64527	1.64728	0.080037	2.091677	2.652599	2.706134	0.63072	0.6361	1.750472
7,643	train	H1	H08	1,000	1,000	30	29.5	30.9	1.598828	-1.365848	-2.760165	-2.773479	14.90094	16.967223	13.60545	-2.773479	2.760165	0.000718	7.692188	3.28016	1.86147	13.290791	13.125152	1.442204
7,643	train	H0	H08	20	20	40	45	50	1.234541	-1.246027	-1.408603	-1.416666	2.212137	2.667776	2.180129	-1.416666	1.408603	0.180333	2.006944	1.60046	1.312934	1.747144	1.668074	1.339729
7,643	train	H1	H08	20	20	40	15	30	0.713894	-0.625939	-1.029525	-1.035285	1.660606	1.79625	1.677684	-1.035285	1.029525	0.432211	1.071815	0.666963	0.389318	1.408051	1.403785	0.670377
7,643	train	H0	H08	30	30	40	50	40	-0.759458	0.487141	1.25711	1.273846	4.768631	6.696877	4.513611	1.273846	1.25711	0.082213	1.622684	0.622241	0.256462	4.309067	3.967368	-0.582129
7,643	train	H1	H08	30	30	40	33.333333	33.333333	-0.160971	0.10022	0.485986	0.477275	0.848283	1.171702	0.764413	0.477275	0.485986	0.682354	0.227791	0.062492	0.016829	0.798293	0.680282	-0.156432
7,643	train	H0	H08	50	50	40	50	44	-1.178533	0.978578	1.46329	1.492612	3.25089	4.972803	3.079056	1.492612	1.46329	0.1738	2.227891	1.320981	0.977395	3.207463	3.057352	-1.068847
7,643	train	H1	H08	50	50	40	46	56	1.279745	-1.191995	-1.312788	-1.31777	1.742164	3.973873	1.736811	1.279745	1.312788	0.198835	1.736517	1.706714	1.386793	1.033465	1.082981	1.284877
7,643	train	H0	H08	75	75	40	42.666667	38.666667	-1.526429	1.517386	1.266435	1.261864	2.678437	3.195924	2.506774	-1.526429	1.517386	0.093744	1.5923	2.284957	2.350509	0.246249	0.343456	-1.67597
7,643	train	H1	H08	75	75	40	50.666667	45.333333	-0.230923	0.22688	0.24735	0.245422	0.060337	0.122377	0.060348	-0.230923	0.24735	0.792221	0.060232	0.066543	0.059966	0.069071	0.08162	-0.263428
7,643	train	H0	H08	100	100	40	36	42	2.07685	-2.06522	-1.748397	-1.749027	4.673277	5.010684	4.618364	2.07685	2.06522	0.026771	3.059095	4.231766	4.2615	0.724857	0.720095	2.214846
7,643	train	H1	H08	100	100	40	35	43	0.830289	-0.817676	-0.77783	-0.775209	0.713344	1.02187	0.68697	-0.775209	0.817676	0.374939	0.600948	0.672657	0.645465	0.187832	0.209312	0.88726
7,643	train	H0	H08	150	150	40	42	38.666667	-0.455867	0.271785	0.902841	0.905836	2.067677	2.754153	2.228968	0.905836	0.902841	0.328085	0.820538	0.331758	0.076192	2.112883	2.139724	-0.301501
7,643	train	H1	H08	150	150	40	36.666667	35.333333	-0.038478	0.226836	-0.903311	-0.917029	8.646787	11.208771	7.85674	-0.917029	0.903311	0.010649	0.840943	0.023505	0.054558	5.300158	5.117314	-0.260253
7,643	train	H0	H08	200	200	40	38.5	38.5	-0.076823	-0.055026	0.367961	0.367001	0.526473	0.739971	0.657114	-0.076823	0.367961	0.719962	0.13469	0.027482	0.00211	0.518732	0.499154	0.046719
7,643	train	H1	H08	200	200	40	42	41	-1.040777	1.177476	0.371486	0.373738	5.089738	8.940799	4.321459	-1.040777	1.177476	0.030088	0.13968	0.995459	1.409814	0.771791	0.689805	-1.295195
7,643	train	H0	H08	300	300	40	39.333333	39.666667	1.556867	-1.363507	-2.054073	-2.070988	5.359212	5.38329	5.330928	-2.070988	2.054073	0.069567	4.288993	2.731475	1.844014	5.054621	5.065345	1.464926
7,643	train	H1	H08	300	300	40	39.333333	40.666667	1.525675	-1.309504	-2.07231	-2.089315	5.839232	5.844939	5.897085	-2.089315	2.07231	0.052416	4.365237	2.698542	1.703809	5.728633	5.655509	1.414298
7,643	train	H0	H08	500	500	40	41.8	41.2	0.127	-0.219576	0.06646	0.066454	0.252118	0.208055	0.291778	0.127	0.219576	0.815199	0.004416	0.005935	0.046741	0.137703	0.133766	0.233724
7,643	train	H1	H08	500	500	40	39.8	40.4	0.049664	0.278567	-1.225315	-1.233414	11.753139	12.107515	11.307791	-1.233414	1.225315	0.003504	1.52131	0.055709	0.08109	7.729428	7.651871	-0.315402
7,643	train	H0	H08	1,000	1,000	40	38.9	40.1	-0.035386	0.128392	-0.196768	-0.196596	0.317084	0.518192	0.391726	-0.196596	0.196768	0.822125	0.03865	0.000411	0.01741	0.22879	0.231707	-0.142976
7,643	train	H1	H08	1,000	1,000	40	39.5	40.3	0.419074	-0.363334	-0.657358	-0.657618	0.697109	1.136533	0.719333	-0.657618	0.657358	0.696352	0.432462	0.207113	0.129747	0.69903	0.716815	0.39025
7,643	train	H0	H08	20	20	50	50	55	0.247199	-0.150402	-0.470936	-0.466847	0.801229	1.751528	0.861712	-0.466847	0.470936	0.625539	0.217946	0.089612	0.011579	0.445405	0.558958	0.137148
7,643	train	H1	H08	20	20	50	60	55	-0.372088	0.208841	0.406727	0.399834	0.159868	2.398029	0.166106	-0.372088	0.406727	0.494002	0.159868	0.130091	0.062338	0.147412	0.26825	-0.290348
7,643	train	H0	H08	30	30	50	66.666667	60	0.162287	-0.418263	0.005464	0.00541	0.472525	0.491606	0.484729	0.00541	0.418263	0.690137	0.000029	0.038796	0.123832	0.389724	0.379103	0.398669
7,643	train	H1	H08	30	30	50	53.333333	46.666667	-0.360245	0.275685	0.177156	0.176026	0.565542	2.12365	0.471647	-0.360245	0.275685	0.547143	0.030985	0.1078	0.101124	0.027431	0.013465	-0.34826
7,643	train	H0	H08	50	50	50	50	54	0.562533	-0.585981	-0.608547	-0.601671	0.371761	1.081549	0.364077	-0.601671	0.608547	0.516721	0.362008	0.33249	0.336629	0.150272	0.098235	0.648409
7,643	train	H1	H08	50	50	50	50	58	0.790205	-0.694154	-0.938816	-0.940429	0.996107	3.016387	1.055378	-0.940429	0.938816	0.389105	0.884406	0.709729	0.43464	0.853411	1.000873	0.763664
7,643	train	H0	H08	75	75	50	46.666667	58.666667	0.340714	-0.434553	-0.167038	-0.167445	0.417707	0.416378	0.416062	-0.167445	0.434553	0.643712	0.028038	0.109272	0.174674	0.081415	0.072131	0.462514
7,643	train	H1	H08	75	75	50	46.666667	48	-0.278553	0.113401	0.438444	0.438654	0.337595	0.556314	0.371377	0.438654	0.438444	0.830532	0.192417	0.078593	0.014774	0.460109	0.47325	-0.137571
7,643	train	H0	H08	100	100	50	49	48	-1.060633	1.297316	0.633061	0.630048	1.735141	5.233724	2.175048	0.630048	1.297316	0.129133	0.396961	0.96671	1.746265	0.032758	0.049425	-1.517528
7,643	train	H1	H08	100	100	50	58	54	-0.669893	0.57748	0.743096	0.738439	0.563532	0.565927	0.561023	-0.669893	0.743096	0.493463	0.545292	0.438041	0.353998	0.563247	0.604857	-0.684812
7,643	train	H0	H08	150	150	50	46.666667	48.666667	-1.150992	1.099194	1.177817	1.184354	1.41633	1.424495	1.415966	-1.150992	1.177817	0.206728	1.402695	1.394071	1.246462	0.891439	0.963595	-1.262614
7,643	train	H1	H08	150	150	50	54	54.666667	0.077725	-0.145558	-0.181833	-0.182193	0.268761	6.396386	0.159632	-0.182193	0.181833	0.09384	0.033194	0.002907	0.018054	0.151719	0.102673	0.150481
7,643	train	H0	H08	200	200	50	49	52	0.865957	-0.72502	-0.993379	-0.992643	1.015984	1.466021	1.052157	0.865957	0.993379	0.427007	0.985339	0.8346	0.513639	0.875117	0.896286	0.794324
7,643	train	H1	H08	200	200	50	51	42	1.326416	-1.421541	-1.303969	-1.328667	1.778269	3.802337	1.829549	1.326416	1.421541	0.111532	1.765356	1.77991	1.981625	0.861216	0.84195	1.591343
7,643	train	H0	H08	300	300	50	45	49.333333	0.030711	-0.018093	-0.150264	-0.150255	0.242687	2.481836	0.137789	-0.150255	0.150264	0.478583	0.022577	0.000002	0.000105	0.08685	0.061588	0.01329
7,643	train	H1	H08	300	300	50	55	48.333333	-0.013261	-0.039258	0.008017	0.00804	0.003514	0.124659	0.000373	-0.013261	0.039258	0.975766	0.000065	0.000983	0.000718	0.001491	0.002309	0.030378
7,643	train	H0	H08	500	500	50	48.8	49.4	0.930639	-1.319493	-0.119353	-0.119281	5.209303	6.408114	5.687648	-0.119281	1.319493	0.058203	0.014228	0.723406	1.721474	1.488436	1.490895	1.47386
7,643	train	H1	H08	500	500	50	51.8	52.4	0.973335	-0.780824	-1.408956	-1.419081	3.781605	4.289813	3.589958	-1.419081	1.408956	0.166131	2.01379	0.951913	0.597834	3.501162	3.479352	0.860275
7,643	train	H0	H08	1,000	1,000	50	51.3	48.5	-0.775413	0.82495	0.511094	0.510868	1.198038	1.618533	1.052962	-0.775413	0.82495	0.350663	0.260986	0.610361	0.69106	0.003852	0.002206	-0.933304
7,643	train	H1	H08	1,000	1,000	50	50.8	49.7	1.171945	-1.121125	-1.316584	-1.31783	1.796558	1.852409	1.793005	-1.31783	1.316584	0.212677	1.736675	1.413315	1.246104	1.473219	1.561554	1.246238
7,643	train	H0	H09	20	20	0	0	0	-1.136104	1.136104	1.377077	1.38828	1.990192	2.062422	1.986432	-1.136104	1.377077	0.249906	1.92732	1.618691	1.293018	2.027725	2.024811	-1.150577
7,643	train	H1	H09	20	20	0	0	0	-0.784453	0.784453	1.288996	1.309968	2.660135	2.713387	2.622148	1.309968	1.288996	0.26953	1.716017	1.04688	0.613085	3.078927	2.996129	-0.794446
7,643	train	H0	H09	30	30	0	0	0	-2.70555	2.70555	2.487372	2.606901	7.426586	8.617052	7.627764	-2.70555	2.70555	0.006365	6.795934	7.409285	7.528156	2.753612	2.756519	-2.728382
7,643	train	H1	H09	30	30	0	0	0	-0.754006	0.754006	-0.154042	-0.155169	4.590887	5.547064	3.972351	-0.155169	0.754006	0.135851	0.024078	0.196663	0.568369	1.429454	1.219611	-0.760369
7,643	train	H0	H09	50	50	0	0	0	0.537718	-0.537718	-0.621468	-0.618272	0.389151	1.507599	0.382445	0.537718	0.621468	0.588903	0.38226	0.355861	0.288229	0.236032	0.32282	0.540427
7,643	train	H1	H09	50	50	0	0	0	0.737639	-0.737639	-1.316816	-1.351492	4.07715	12.556855	3.052723	-1.351492	1.316816	0.0057	1.826531	0.807314	0.543637	2.950444	2.694048	0.741355
7,643	train	H0	H09	75	75	0	0	0	0.712279	-0.712279	-1.415077	-1.437546	2.770759	8.085859	3.527439	-1.437546	1.415077	0.04427	2.066537	1.211691	0.507246	3.374045	3.829077	0.709885
7,643	train	H1	H09	75	75	0	0	0	1.933865	-1.933865	-1.995765	-2.029713	4.119734	5.20146	4.208646	1.933865	1.995765	0.053934	4.119733	3.728202	3.755954	2.502838	2.424463	1.927365
7,643	train	H0	H09	100	100	0	0	0	-1.500241	1.500241	1.600936	1.603762	2.602406	2.683492	2.614055	1.603762	1.600936	0.13258	2.572052	2.494769	2.254104	1.687273	1.695711	-1.504006
7,643	train	H1	H09	100	100	0	0	0	-1.163053	1.163053	0.868359	0.877631	2.849216	12.659419	1.450284	0.877631	1.163053	0.005434	0.770235	1.619652	1.356235	0.064384	0.141293	-1.165972
7,643	train	H0	H09	150	150	0	0	0	-0.673545	0.673545	0.428575	0.42627	0.50735	0.476812	0.55651	-0.673545	0.673545	0.499885	0.181706	0.33329	0.453281	0.008761	0.017487	-0.67467
7,643	train	H1	H09	150	150	0	0	0	1.127456	-1.127456	-2.100033	-2.144818	8.31415	9.468421	7.431816	-2.144818	2.100033	0.02367	4.600243	2.208119	1.271351	7.188681	7.037929	1.12934
7,643	train	H0	H09	200	200	0	0	0	1.311256	-1.311256	-1.487415	-1.489989	2.234741	3.411912	2.220632	-1.489989	1.487415	0.189217	2.220066	1.915697	1.719536	1.560275	1.483653	1.312899
7,643	train	H1	H09	200	200	0	0	0	2.20388	-2.20388	-2.782939	-2.85182	9.679076	23.733179	8.64054	-2.85182	2.782939	0.000028	8.132877	5.69077	4.867596	7.805078	7.599735	2.20664
7,643	train	H0	H09	300	300	0	0	0	-0.195941	0.195941	0.130536	0.13013	0.028823	0.401094	0.044807	-0.195941	0.195941	0.844528	0.016934	0.028892	0.03837	0.003066	0.000857	-0.196105
7,643	train	H1	H09	300	300	0	0	0	1.557166	-1.557166	-2.772142	-2.820318	11.999515	12.143226	11.766816	-2.820318	2.772142	0.002785	7.954194	4.255098	2.42763	11.68912	11.597389	1.558466
7,643	train	H0	H09	500	500	0	0	0	-0.687815	0.687815	0.808581	0.80935	0.659219	2.297268	0.65605	0.80935	0.808581	0.491353	0.655047	0.591966	0.473031	0.518414	0.47279	-0.688159
7,643	train	H1	H09	500	500	0	0	0	-0.137957	0.137957	-1.234126	-1.244194	10.056849	14.466142	7.979875	-0.137957	1.234126	0.002335	1.548018	0.0834	0.019029	5.53798	5.38944	-0.138026
7,643	train	H0	H09	1,000	1,000	0	0	0	0.902954	-0.902954	-0.062461	-0.062568	4.217377	5.110511	2.940005	0.902954	0.902954	0.163882	0.003915	0.538349	0.815434	0.618812	0.63192	0.90318
7,643	train	H1	H09	1,000	1,000	0	0	0	0.281418	-0.281418	-2.057111	-2.076441	18.210609	21.863265	14.328866	0.281418	2.057111	0.00007	4.311605	0.62389	0.079203	11.686865	11.555652	0.281488

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