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
7,644	train	H0	H05	20	20	30	25	10	-1.749116	1.701336	1.911379	1.990817	4.081589	4.640481	4.052373	-1.749116	1.911379	0.076336	3.963352	3.435938	2.916186	3.98918	3.947278	-1.772355
7,644	train	H1	H05	20	20	30	30	15	1.42578	-1.605639	-0.313403	-0.313373	10.12155	10.238072	10.216524	1.42578	1.605639	0.006047	0.098203	1.294839	2.645297	1.175149	0.896573	1.623944
7,644	train	H0	H05	30	30	30	20	26.666667	0.152538	-0.117291	-0.349797	-0.346365	0.305648	0.54824	0.33989	-0.346365	0.349797	0.843711	0.119969	0.05222	0.013684	0.179222	0.190318	0.125746
7,644	train	H1	H05	30	30	30	26.666667	40	2.855225	-2.985204	-2.294852	-2.378466	10.435505	10.379964	10.414203	-2.378466	2.985204	0.002014	5.6571	7.999449	9.276875	1.039353	1.214775	3.088153
7,644	train	H0	H05	50	50	30	22	32	1.486679	-1.422055	-1.611665	-1.616453	2.626255	2.800901	2.618845	-1.616453	1.611665	0.144736	2.61292	2.308174	2.028027	1.772169	1.795779	1.45838
7,644	train	H1	H05	50	50	30	40	26	-0.51371	0.342975	1.058171	1.051264	3.33371	4.284635	3.076129	1.051264	1.058171	0.214796	1.105157	0.345012	0.117213	2.846023	2.710471	-0.367346
7,644	train	H0	H05	75	75	30	37.333333	30.666667	-0.932744	0.871189	0.874968	0.868292	0.852404	0.83524	0.867943	-0.932744	0.874968	0.373169	0.753931	0.742173	0.757814	0.371011	0.453343	-0.890553
7,644	train	H1	H05	75	75	30	25.333333	37.333333	2.487364	-2.407166	-2.66844	-2.735659	7.603674	7.966094	7.578647	-2.735659	2.66844	0.01466	7.483829	6.654394	5.834258	5.7984	5.753023	2.440676
7,644	train	H0	H05	100	100	30	31	32	0.21112	-0.294461	0.113658	0.11332	0.735438	3.064529	0.952575	0.21112	0.294461	0.381783	0.012841	0.005335	0.086625	0.401497	0.46236	0.299021
7,644	train	H1	H05	100	100	30	33	36	1.47474	-1.529878	-1.192411	-1.192791	2.463328	4.864689	2.659549	1.47474	1.529878	0.118566	1.422751	1.839566	2.348121	0.18226	0.125883	1.560819
7,644	train	H0	H05	150	150	30	28	28.666667	-0.034303	0.057239	-0.069169	-0.06896	0.056926	0.390342	0.081898	-0.06896	0.069169	0.94223	0.004756	0.00032	0.003272	0.021631	0.037726	-0.05834
7,644	train	H1	H05	150	150	30	32	27.333333	1.882947	-2.034875	-1.173887	-1.184325	6.798952	7.076742	6.543861	1.882947	2.034875	0.037283	1.402625	3.184523	4.157077	0.008889	0.004841	2.08265
7,644	train	H0	H05	200	200	30	30	27.5	-1.375909	1.332966	1.478038	1.48587	2.237092	4.284678	2.208589	-1.375909	1.478038	0.170422	2.207809	1.82973	1.776885	1.725826	1.647033	-1.370849
7,644	train	H1	H05	200	200	30	33.5	30	-0.237311	0.335104	-0.079994	-0.079895	1.007914	1.454966	0.879263	-0.237311	0.335104	0.644274	0.006383	0.046929	0.11223	0.291086	0.239696	-0.34059
7,644	train	H0	H05	300	300	30	27.666667	27.666667	0.154036	-0.242528	0.274948	0.274877	1.838506	4.433069	1.356406	0.154036	0.274948	0.218339	0.075558	0.019991	0.058787	0.709905	0.664917	0.245529
7,644	train	H1	H05	300	300	30	31	26	1.983957	-2.169287	-0.995179	-0.998457	9.561276	9.628565	9.950196	1.983957	2.169287	0.006908	0.996916	2.962653	4.718505	0.41678	0.388301	2.224475
7,644	train	H0	H05	500	500	30	30.2	31.4	-0.194699	0.199101	0.12141	0.121307	0.120096	1.197533	0.069051	-0.194699	0.199101	0.753596	0.014715	0.045408	0.039632	0.000029	0.001341	-0.202506
7,644	train	H1	H05	500	500	30	28.4	29	1.482584	-1.408292	-1.675274	-1.680304	2.854948	2.851636	2.876672	-1.680304	1.675274	0.151323	2.823421	2.511588	1.983913	2.307264	2.274043	1.434875
7,644	train	H0	H05	1,000	1,000	30	28.3	29	0.732454	-0.88234	-0.129421	-0.129427	2.540495	3.682004	2.913037	-0.129427	0.88234	0.233046	0.016751	0.322147	0.778526	0.630258	0.633015	0.897676
7,644	train	H1	H05	1,000	1,000	30	32.3	29.3	2.665588	-2.979366	-1.275262	-1.277158	18.864143	18.781865	18.75496	2.665588	2.979366	0.000085	1.631134	5.896834	8.887796	1.036335	1.001192	3.048786
7,644	train	H0	H05	20	20	40	25	50	1.380293	-1.271407	-1.526815	-1.500442	2.312005	2.97448	2.290219	-1.500442	1.526815	0.183978	2.251325	1.790835	1.619799	1.537331	1.323555	1.328607
7,644	train	H1	H05	20	20	40	40	40	1.477589	-1.49005	-1.329489	-1.412798	2.317159	2.692091	2.342819	-1.412798	1.49005	0.111381	1.995998	2.164391	2.272061	0.524775	0.52569	1.592017
7,644	train	H0	H05	30	30	40	40	43.333333	-0.093338	-0.042259	0.068475	0.068595	0.014762	0.036067	0.013931	-0.093338	0.068475	0.960912	0.004705	0.000088	0.001785	0.005743	0.007136	0.049009
7,644	train	H1	H05	30	30	40	33.333333	43.333333	0.956156	-0.721299	-1.498314	-1.562557	7.0202	7.051673	7.069096	-1.562557	1.498314	0.029172	2.441584	1.240724	0.522491	5.637132	5.621452	0.670226
7,644	train	H0	H05	50	50	40	42	42	0.251329	-0.263445	-0.212805	-0.21156	0.072463	0.095726	0.070076	-0.21156	0.263445	0.785027	0.044757	0.056828	0.069181	0.000868	0.000916	0.272774
7,644	train	H1	H05	50	50	40	32	38	1.97266	-2.250126	-1.078019	-1.072568	10.233367	10.211758	10.314905	1.97266	2.250126	0.005756	1.150402	3.496962	5.113575	0.268599	0.156314	2.289547
7,644	train	H0	H05	75	75	40	37.333333	36	0.54845	-0.481247	-0.483801	-0.482851	0.393298	1.813851	0.309561	-0.482851	0.483801	0.611925	0.233145	0.283148	0.231225	0.04164	0.10414	0.481697
7,644	train	H1	H05	75	75	40	36	33.333333	1.40189	-1.393399	-1.386446	-1.406853	2.024986	2.145976	2.038974	1.40189	1.393399	0.150976	1.979236	2.01825	1.954979	0.947489	0.958326	1.436094
7,644	train	H0	H05	100	100	40	39	37	-0.448871	0.37886	0.629101	0.628219	0.607433	0.586163	0.621056	0.628219	0.629101	0.698845	0.394659	0.251279	0.143415	0.769138	0.726468	-0.38688
7,644	train	H1	H05	100	100	40	33	42	2.163336	-2.239752	-1.83671	-1.841171	4.938394	6.228763	5.152466	2.163336	2.239752	0.020489	3.389909	4.419176	5.02408	0.702003	0.647953	2.317263
7,644	train	H0	H05	150	150	40	42.666667	38.666667	-0.16706	0.054236	0.404635	0.405003	0.724058	1.011868	0.764915	0.405003	0.404635	0.682183	0.164028	0.044946	0.00294	0.66472	0.661135	-0.058595
7,644	train	H1	H05	150	150	40	44.666667	43.333333	0.704143	-0.746798	-0.578372	-0.578797	0.599597	1.305298	0.642524	-0.578797	0.746798	0.441986	0.335006	0.430642	0.558193	0.018192	0.012013	0.768844
7,644	train	H0	H05	200	200	40	36	45	2.183494	-2.04316	-2.406992	-2.414873	5.978777	6.006838	6.003487	2.183494	2.406992	0.034966	5.831612	5.093118	4.18424	4.880447	4.756901	2.108754
7,644	train	H1	H05	200	200	40	45.5	37	0.501971	-0.650406	-0.199991	-0.201802	1.229424	1.535434	1.114618	0.501971	0.650406	0.500879	0.040724	0.284864	0.423557	0.184044	0.171245	0.673108
7,644	train	H0	H05	300	300	40	37.333333	39	0.064114	-0.120919	0.040377	0.040344	0.136772	0.26667	0.111218	0.040344	0.120919	0.90122	0.001628	0.007426	0.014616	0.064227	0.062053	0.12412
7,644	train	H1	H05	300	300	40	41.666667	42	2.154949	-2.22556	-1.887437	-1.899661	4.919591	5.617316	5.044665	2.154949	2.22556	0.022193	3.608713	4.466988	4.970543	0.903088	0.918051	2.28704
7,644	train	H0	H05	500	500	40	37.4	40	1.340358	-1.342002	-1.126467	-1.125486	2.388921	5.512744	2.011054	1.340358	1.342002	0.137878	1.266718	1.959769	1.800954	0.233189	0.288904	1.376689
7,644	train	H1	H05	500	500	40	39.6	41.6	2.667904	-2.488659	-2.961858	-2.988561	9.428311	11.698527	9.28055	-2.988561	2.961858	0.008491	8.931494	7.177767	6.212676	7.833464	7.735039	2.566402
7,644	train	H0	H05	1,000	1,000	40	40.4	39.1	-1.029133	1.048138	0.809274	0.809048	1.524251	2.705053	1.343259	-1.029133	1.048138	0.280128	0.654559	1.086661	1.098502	0.054299	0.064828	-1.080033
7,644	train	H1	H05	1,000	1,000	40	42.1	39.6	2.7848	-2.80767	-2.514776	-2.534767	8.05756	8.174388	7.981032	2.7848	2.80767	0.003771	6.425042	7.730505	7.903103	2.119069	2.198451	2.896675
7,644	train	H0	H05	20	20	50	45	40	-0.786791	0.680785	0.953648	0.985705	1.679216	4.276802	1.606405	0.985705	0.953648	0.233084	0.971614	0.647502	0.462963	1.946804	1.883214	-0.676427
7,644	train	H1	H05	20	20	50	70	60	-0.131526	0.140925	0.152152	0.155071	0.056497	0.192406	0.057324	-0.131526	0.152152	0.884708	0.024047	0.0202	0.019814	0.261892	0.259616	-0.145004
7,644	train	H0	H05	30	30	50	50	53.333333	-0.441657	0.514746	0.221638	0.219632	0.971805	1.573831	1.037634	-0.441657	0.514746	0.595224	0.048238	0.144987	0.264715	0.052667	0.054303	-0.524755
7,644	train	H1	H05	30	30	50	40	40	0.685516	-0.653096	-0.683908	-0.680538	0.4705	0.668699	0.477779	-0.680538	0.683908	0.49461	0.463132	0.428293	0.426367	0.141797	0.158995	0.682995
7,644	train	H0	H05	50	50	50	42	50	0.573741	-0.829462	-0.076565	-0.077634	4.435311	4.494571	4.374073	-0.077634	0.829462	0.112249	0.006027	0.272412	0.687489	1.0765	1.025822	0.930129
7,644	train	H1	H05	50	50	50	64	54	-0.513064	0.520893	0.462927	0.466066	0.289412	0.287238	0.28829	0.466066	0.520893	0.56786	0.217217	0.256529	0.271271	0.139087	0.191861	-0.571206
7,644	train	H0	H05	75	75	50	41.333333	49.333333	1.635385	-1.631821	-1.552611	-1.561277	2.738668	3.458515	2.700971	1.635385	1.631821	0.096884	2.437586	2.764031	2.669594	0.980634	1.09129	1.66015
7,644	train	H1	H05	75	75	50	36	56	2.437812	-2.329241	-2.521142	-2.528092	6.39809	9.5204	6.39129	-2.528092	2.521142	0.01591	6.391247	5.816489	5.446216	4.38281	4.365238	2.410966
7,644	train	H0	H05	100	100	50	47	58	1.393471	-1.21452	-1.580376	-1.578149	2.894615	4.485284	2.826329	-1.578149	1.580376	0.198889	2.490553	1.765364	1.476162	2.440921	2.341009	1.284723
7,644	train	H1	H05	100	100	50	53	51	0.701344	-0.798466	-0.512596	-0.514615	1.093049	1.675159	1.034869	-0.514615	0.798466	0.411938	0.264829	0.540569	0.637791	0.007199	0.003197	0.820489
7,644	train	H0	H05	150	150	50	48.666667	48	-0.058103	0.094796	-0.00598	-0.005963	0.068862	0.065348	0.068645	-0.005963	0.094796	0.922674	0.000036	0.004201	0.008977	0.003712	0.001489	-0.097065
7,644	train	H1	H05	150	150	50	46.666667	46	1.991921	-2.277506	-1.410373	-1.422503	7.695885	7.905006	7.567059	-1.422503	2.277506	0.018057	2.023514	4.101607	5.217643	0.000125	0.002112	2.364454
7,644	train	H0	H05	200	200	50	53	45.5	-1.872678	1.800759	1.903455	1.903616	3.62853	4.683569	3.639083	1.903616	1.903455	0.061784	3.623755	3.338648	3.246315	2.53609	2.418299	-1.867846
7,644	train	H1	H05	200	200	50	45	54	2.316425	-1.882245	-2.786084	-2.819539	10.292618	13.792933	10.644907	-2.819539	2.786084	0.003201	7.949799	5.540244	3.552102	10.291642	11.070338	1.955926
7,644	train	H0	H05	300	300	50	46	49.666667	-0.412911	0.545261	0.182052	0.182192	0.853016	1.012943	0.787499	0.182192	0.545261	0.574949	0.033194	0.216066	0.297476	0.089629	0.082279	-0.560777
7,644	train	H1	H05	300	300	50	48.666667	46.666667	1.17865	-1.301892	-0.914088	-0.917872	2.161635	2.395133	2.073565	1.17865	1.301892	0.175372	0.84249	1.496219	1.696868	0.016958	0.024263	1.355143
7,644	train	H0	H05	500	500	50	47.8	48.6	0.842161	-0.735923	-1.002803	-1.002908	1.217296	1.275435	1.226596	-1.002908	1.002803	0.448333	1.005824	0.709672	0.541631	1.12321	1.172658	0.758197
7,644	train	H1	H05	500	500	50	50.2	51.6	2.55852	-2.526651	-2.475553	-2.508755	6.52083	8.372498	6.592798	-2.508755	2.526651	0.008806	6.293854	6.368576	6.393702	3.085416	3.056633	2.619493
7,644	train	H0	H05	1,000	1,000	50	52.1	50.7	-1.148975	1.086241	1.16032	1.160909	1.355133	1.377466	1.356583	-1.148975	1.16032	0.260998	1.347709	1.276492	1.1799	0.894033	0.886755	-1.124034
7,644	train	H1	H05	1,000	1,000	50	48.1	52.8	5.252554	-5.106812	-5.167809	-5.239487	28.108303	28.112187	28.101211	-5.239487	5.167809	0	27.452221	27.555348	26.190416	15.673771	15.819179	5.293219
7,644	train	H0	H06	20	20	0	0	0	-1.893506	1.893506	1.97811	2.060996	4.248595	4.753997	4.25509	-1.893506	1.97811	0.055158	4.247703	4.014265	3.6438	3.097534	3.111819	-1.917628
7,644	train	H1	H06	20	20	0	0	0	0.595102	-0.595102	-0.254835	-0.248725	0.835104	1.153934	0.695238	-0.248725	0.595102	0.546719	0.061864	0.243703	0.351106	0.079878	0.037716	0.602683
7,644	train	H0	H06	30	30	0	0	0	1.596718	-1.596718	-1.75787	-1.800195	3.258374	3.875571	3.241884	-1.800195	1.75787	0.107356	3.240703	2.8621	2.564644	2.339497	2.266855	1.610193
7,644	train	H1	H06	30	30	0	0	0	0.842712	-0.842712	-0.228022	-0.224329	1.822541	1.714431	1.876531	0.842712	0.842712	0.391306	0.050323	0.374777	0.708152	0.285584	0.226815	0.849824
7,644	train	H0	H06	50	50	0	0	0	1.144374	-1.144374	-1.539929	-1.562233	2.86233	4.258503	2.727879	-1.562233	1.539929	0.234869	2.440572	1.749461	1.31116	2.45443	2.322219	1.150139
7,644	train	H1	H06	50	50	0	0	0	2.847148	-2.847148	-2.016214	-2.047654	7.733818	16.759033	9.357852	2.847148	2.847148	0.000792	4.192889	6.395628	8.30909	0.605982	0.53778	2.861491
7,644	train	H0	H06	75	75	0	0	0	-0.084571	0.084571	0.817249	0.81968	2.58626	2.858428	2.482154	0.81968	0.817249	0.289073	0.671875	0.144412	0.007143	2.042834	1.910284	-0.084287
7,644	train	H1	H06	75	75	0	0	0	1.990246	-1.990246	-1.749584	-1.757142	3.47624	5.250462	3.981991	1.990246	1.990246	0.047305	3.087549	3.440069	3.981839	1.073665	1.009917	1.983556
7,644	train	H0	H06	100	100	0	0	0	0.911384	-0.911384	-1.233616	-1.232776	1.580559	1.579573	1.633328	-1.232776	1.233616	0.36089	1.519738	1.204511	0.831388	1.461264	1.47253	0.913671
7,644	train	H1	H06	100	100	0	0	0	1.00912	-1.00912	-0.206605	-0.205166	1.676673	4.543881	2.889715	1.00912	1.00912	0.208409	0.042093	0.365886	1.020119	0.443471	0.525746	1.011652
7,644	train	H0	H06	150	150	0	0	0	-2.63428	2.63428	3.460713	3.601606	15.284721	17.056549	14.711887	3.601606	3.460713	0.000639	12.971569	9.279592	6.974676	14.636005	14.499436	-2.638681
7,644	train	H1	H06	150	150	0	0	0	2.273547	-2.273547	-1.370033	-1.373973	7.218957	7.334008	6.764403	2.273547	2.273547	0.022766	1.887801	4.074351	5.187483	0.020894	0.047074	2.277346
7,644	train	H0	H06	200	200	0	0	0	-1.229952	1.229952	1.250409	1.249299	1.652784	2.053424	1.645523	-1.229952	1.250409	0.218139	1.560748	1.665778	1.513277	0.884882	0.845128	-1.231492
7,644	train	H1	H06	200	200	0	0	0	2.016187	-2.016187	-1.823451	-1.839497	3.399601	11.378517	4.099395	2.016187	2.016187	0.009846	3.383749	3.174112	4.079365	1.450333	1.344467	2.018712
7,644	train	H0	H06	300	300	0	0	0	0.697098	-0.697098	-0.822789	-0.821094	0.692294	1.245114	0.675259	0.697098	0.822789	0.485378	0.674196	0.550903	0.48574	0.493659	0.455449	0.69768
7,644	train	H1	H06	300	300	0	0	0	2.180315	-2.180315	-0.645826	-0.646051	9.997615	9.793961	11.16068	2.180315	2.180315	0.003771	0.417382	2.613507	4.764527	1.00949	0.949714	2.182135
7,644	train	H0	H06	500	500	0	0	0	0.574602	-0.574602	0.051374	0.051361	2.088507	2.441879	1.558613	0.574602	0.574602	0.458724	0.002638	0.19157	0.330183	0.430379	0.408481	0.57489
7,644	train	H1	H06	500	500	0	0	0	3.362431	-3.362431	-1.79229	-1.795401	15.32521	13.669992	16.531588	3.362431	3.362431	0.000257	3.223465	7.891458	11.341107	0.029917	0.0174	3.364114
7,644	train	H0	H06	1,000	1,000	0	0	0	-0.366448	0.366448	0.52893	0.528923	0.305829	4.145665	0.314272	0.528923	0.52893	0.246159	0.279759	0.264937	0.134258	0.313552	0.349619	-0.366539
7,644	train	H1	H06	1,000	1,000	0	0	0	5.314109	-5.314109	-4.377645	-4.410138	26.365309	24.240428	28.557725	5.314109	5.314109	0	19.449318	24.820656	28.34588	5.774496	5.97555	5.315438
7,644	train	H0	H06	20	20	10	15	5	0.647427	-0.653515	-0.128534	-0.125899	1.317731	2.06592	1.51341	0.647427	0.653515	0.46921	0.015851	0.170677	0.425954	0.359665	0.401978	0.658401
7,644	train	H1	H06	20	20	10	10	5	0.828086	-0.811961	-1.056173	-1.065524	1.354597	2.944118	1.256462	-1.065524	1.056173	0.400322	1.135342	0.820054	0.65928	0.982612	0.863995	0.838171
7,644	train	H0	H06	30	30	10	6.666667	6.666667	1.151133	-1.1957	-0.511494	-0.505042	2.211864	4.775443	2.665608	1.151133	1.1957	0.188998	0.255067	0.849059	1.432243	0.088713	0.11653	1.213258
7,644	train	H1	H06	30	30	10	6.666667	0	1.654121	-1.657791	-1.087834	-1.082637	3.18446	3.807442	3.516891	1.654121	1.657791	0.09461	1.172104	2.074453	2.768637	0.029396	0.031849	1.671567
7,644	train	H0	H06	50	50	10	12	16	-1.377937	1.350987	1.630293	1.687017	2.974528	5.554197	3.101497	1.687017	1.630293	0.135433	2.846026	2.48023	1.83639	3.075577	3.233144	-1.344798
7,644	train	H1	H06	50	50	10	4	6	1.285473	-1.296968	-0.364608	-0.363247	4.607938	4.474308	4.560897	1.285473	1.296968	0.102238	0.131948	0.901763	1.681322	0.509985	0.443564	1.308018
7,644	train	H0	H06	75	75	10	14.666667	14.666667	0.566612	-0.491168	-1.120697	-1.125892	2.393509	2.602187	2.542409	-1.125892	1.120697	0.280494	1.267632	0.593625	0.241084	2.210852	2.206403	0.500187
7,644	train	H1	H06	75	75	10	12	12	1.744197	-1.725721	-1.515473	-1.523618	2.792379	4.013604	3.078378	1.744197	1.725721	0.082404	2.321411	2.628683	2.991274	0.735101	0.657112	1.736903
7,644	train	H0	H06	100	100	10	6	11	1.26357	-1.244158	-1.644318	-1.643334	2.882045	2.87538	2.899298	-1.643334	1.644318	0.209212	2.700547	2.090574	1.549451	2.550209	2.458681	1.255734
7,644	train	H1	H06	100	100	10	7	14	2.455349	-2.433805	-2.462806	-2.495206	6.421404	6.561505	6.455251	-2.495206	2.462806	0.014004	6.226051	6.306433	5.946926	3.700418	3.698927	2.457173
7,644	train	H0	H06	150	150	10	14	12	0.358809	-0.407025	0.426361	0.426322	3.092897	3.522816	3.288423	0.426322	0.426361	0.193165	0.18175	0.006752	0.165632	1.611648	1.606803	0.409968
7,644	train	H1	H06	150	150	10	10.666667	10	1.550443	-1.583179	-0.831245	-0.829873	2.444081	9.793034	3.981322	1.550443	1.583179	0.02041	0.688689	1.349096	2.514907	0.031393	0.05632	1.597896
7,644	train	H0	H06	200	200	10	11	9	-0.870534	0.922095	0.002863	0.002864	4.996707	6.510079	3.883766	-0.870534	0.922095	0.089266	0.000008	0.472809	0.849721	1.095124	0.994065	-0.923783
7,644	train	H1	H06	200	200	10	9.5	10	3.132672	-3.159432	-2.328748	-2.34004	9.562791	12.95434	11.026733	3.132672	3.159432	0.001447	5.475786	8.051972	10.065701	0.810829	0.801319	3.185115
7,644	train	H0	H06	300	300	10	10	8.666667	1.134243	-1.079287	-1.938436	-1.95725	6.003244	6.108937	5.819516	-1.95725	1.938436	0.054489	3.830826	2.046364	1.165416	5.634981	5.544116	1.085089
7,644	train	H1	H06	300	300	10	11.666667	11.333333	2.214972	-2.211961	-2.043552	-2.05343	4.653255	4.948225	4.935869	2.214972	2.211961	0.025727	4.216576	4.585781	4.903388	1.770223	1.786284	2.230309
7,644	train	H0	H06	500	500	10	11.6	11.8	0.286004	-0.263128	-0.51869	-0.518034	0.410211	0.791999	0.437805	-0.518034	0.51869	0.790588	0.268359	0.138449	0.06921	0.407249	0.429574	0.265548
7,644	train	H1	H06	500	500	10	9.8	8.4	5.053465	-5.087277	-3.72909	-3.769059	25.485444	27.533503	28.673467	5.053465	5.087277	0	14.205805	20.939652	26.085125	2.182436	2.223928	5.124139
7,644	train	H0	H06	1,000	1,000	10	9.6	11.5	0.721488	-0.694779	-1.102555	-1.102249	1.41668	2.428896	1.56703	-1.102249	1.102555	0.456798	1.214952	0.823085	0.48266	1.535757	1.608916	0.699304
7,644	train	H1	H06	1,000	1,000	10	9.7	8.9	5.907342	-5.949668	-4.213155	-4.23848	38.022438	36.042764	40.302451	5.907342	5.949668	0	17.96471	28.942191	35.592583	2.000157	2.063221	5.991688

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