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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7,644	train	H1	H08	20	20	0	0	0	-0.432801	0.432801	0.474884	0.464561	0.215944	0.709695	0.217897	-0.432801	0.474884	0.661158	0.215817	0.202109	0.186216	0.153838	0.122416	-0.438315
7,644	train	H0	H08	30	30	0	0	0	1.153185	-1.153185	-0.588974	-0.588948	1.829025	4.490279	2.186001	1.153185	1.153185	0.213159	0.34686	0.886524	1.335822	0.016617	0.031564	1.162917
7,644	train	H1	H08	30	30	0	0	0	-1.064479	1.064479	0.515027	0.522947	3.207098	10.258206	2.054801	-1.064479	1.064479	0.016494	0.273473	0.969928	1.135908	0.127197	0.032164	-1.073462
7,644	train	H0	H08	50	50	0	0	0	-0.399842	0.399842	0.502435	0.498166	0.301235	1.799116	0.254383	0.498166	0.502435	0.615127	0.24817	0.171824	0.159341	0.27729	0.21369	-0.401856
7,644	train	H1	H08	50	50	0	0	0	-1.275357	1.275357	0.897285	0.89889	2.466869	3.330093	1.846049	-1.275357	1.275357	0.199919	0.808004	1.642494	1.642984	0.010728	0.044298	-1.281782
7,644	train	H0	H08	75	75	0	0	0	-0.152228	0.152228	-0.320617	-0.319367	0.96743	1.317948	0.901215	-0.152228	0.320617	0.637241	0.101995	0.001202	0.023143	0.486893	0.412144	-0.151717
7,644	train	H1	H08	75	75	0	0	0	-2.035351	2.035351	0.823036	0.830547	9.322277	10.278496	8.358681	-2.035351	2.035351	0.015309	0.689809	2.765887	4.171014	0.703769	0.550799	-2.02851
7,644	train	H0	H08	100	100	0	0	0	0.427593	-0.427593	-0.356292	-0.35404	0.184231	0.491086	0.1839	-0.35404	0.427593	0.668166	0.125344	0.178843	0.182529	0.024244	0.015571	0.428666
7,644	train	H1	H08	100	100	0	0	0	-0.437367	0.437367	-0.217363	-0.216361	0.82335	3.646731	1.67401	-0.216361	0.437367	0.302224	0.046812	0.006715	0.191597	0.70764	0.829391	-0.438464
7,644	train	H0	H08	150	150	0	0	0	-0.360733	0.360733	0.336411	0.334343	0.126173	0.342312	0.131794	0.334343	0.360733	0.717849	0.111786	0.132672	0.129961	0.061858	0.050973	-0.361335
7,644	train	H1	H08	150	150	0	0	0	-0.823961	0.823961	0.142773	0.142761	2.637654	2.992056	2.07185	-0.823961	0.823961	0.354898	0.020381	0.427409	0.678697	0.379077	0.332379	-0.825338
7,644	train	H0	H08	200	200	0	0	0	-0.3849	0.3849	-0.137734	-0.137337	0.498338	1.023326	1.059326	-0.3849	0.3849	0.588803	0.018861	0.009625	0.148102	0.386868	0.382891	-0.385383
7,644	train	H1	H08	200	200	0	0	0	0.283702	-0.283702	-0.409812	-0.407979	0.170911	0.672961	0.186804	0.283702	0.409812	0.776367	0.166447	0.121392	0.080405	0.156426	0.185973	0.284057
7,644	train	H0	H08	300	300	0	0	0	0.293441	-0.293441	-0.127247	-0.126887	0.208995	0.278564	0.152044	-0.126887	0.293441	0.768998	0.0161	0.073302	0.08609	0.005875	0.003059	0.293685
7,644	train	H1	H08	300	300	0	0	0	0.310868	-0.310868	-0.743114	-0.742406	1.184621	1.540689	1.009537	-0.742406	0.743114	0.603645	0.551167	0.199739	0.096592	0.933965	0.880945	0.311127
7,644	train	H0	H08	500	500	0	0	0	-1.440448	1.440448	1.99888	2.00291	4.212277	4.583282	4.380302	2.00291	1.99888	0.1119	4.01165	2.992029	2.075328	4.180029	4.206797	-1.441168
7,644	train	H1	H08	500	500	0	0	0	1.806362	-1.806362	-2.857691	-2.883327	9.496772	13.578384	10.440422	-2.883327	2.857691	0.003539	8.313572	5.49966	3.265854	10.44841	10.771715	1.807266
7,644	train	H0	H08	1,000	1,000	0	0	0	-1.32965	1.32965	1.132081	1.131146	1.93409	2.315743	1.770069	-1.32965	1.32965	0.183524	1.279491	1.831931	1.76828	0.38829	0.377698	-1.329983
7,644	train	H1	H08	1,000	1,000	0	0	0	1.053033	-1.053033	-2.554734	-2.57374	14.182846	15.303284	12.617132	-2.57374	2.554734	0.001575	6.624138	2.46244	1.10888	11.890462	11.779332	1.053297
7,644	train	H0	H08	20	20	10	10	5	-0.616416	0.602757	0.98408	0.98762	1.753172	4.807487	1.492036	-0.616416	0.98408	0.186449	0.975393	0.530479	0.360359	1.783135	1.572466	-0.616529
7,644	train	H1	H08	20	20	10	0	10	0.610875	-0.586998	-0.991006	-0.980199	1.591885	3.384028	1.387126	0.610875	0.991006	0.336118	0.96079	0.51828	0.341585	1.20504	1.00847	0.602297
7,644	train	H0	H08	30	30	10	10	20	1.939959	-1.968753	-1.719313	-1.710108	3.60849	4.019898	3.774126	-1.710108	1.968753	0.040444	2.924469	3.547352	3.846143	0.935239	0.961667	2.049182
7,644	train	H1	H08	30	30	10	3.333333	13.333333	-0.122145	0.149009	-0.471091	-0.474531	2.435931	4.450197	1.948909	-0.474531	0.471091	0.216776	0.22518	0.002574	0.022136	1.162856	0.962094	-0.150997
7,644	train	H0	H08	50	50	10	14	12	0.106152	-0.095755	-0.045035	-0.044497	0.040808	0.07861	0.023827	-0.044497	0.095755	0.921608	0.00198	0.009404	0.009128	0.010879	0.008788	0.098408
7,644	train	H1	H08	50	50	10	12	6	-0.370172	0.367431	0.340139	0.336014	0.157006	0.225874	0.136676	0.336014	0.367431	0.706255	0.112905	0.156719	0.134518	0.06672	0.094569	-0.37689
7,644	train	H0	H08	75	75	10	10.666667	14.666667	0.433539	-0.408093	-0.77652	-0.771994	1.052429	1.19258	0.932962	-0.771994	0.77652	0.627206	0.595975	0.260217	0.166146	0.892328	0.873129	0.416554
7,644	train	H1	H08	75	75	10	12	5.333333	0.465785	-0.438264	-1.043053	-1.065833	2.437702	3.375216	2.558944	-1.065833	1.043053	0.278184	1.136	0.496957	0.190251	2.294567	2.34988	0.42562
7,644	train	H0	H08	100	100	10	9	10	-0.632219	0.563063	1.022382	1.02354	1.170374	2.006223	1.407544	1.02354	1.022382	0.494716	1.047633	0.702161	0.318474	1.381252	1.458926	-0.57602
7,644	train	H1	H08	100	100	10	11	10	-0.144929	0.144635	-0.504216	-0.507552	3.197597	6.741833	2.047404	-0.144929	0.504216	0.080598	0.257609	0.001538	0.022481	1.411073	1.221392	-0.151437
7,644	train	H0	H08	150	150	10	12.666667	16.666667	0.189407	-0.14143	-0.633337	-0.631528	1.029638	0.974318	1.114998	-0.631528	0.633337	0.572639	0.398828	0.127927	0.019173	0.890008	0.877837	0.14477
7,644	train	H1	H08	150	150	10	8.666667	10	0.68635	-0.595595	-2.054206	-2.113929	14.788191	17.013589	13.366682	-2.113929	2.054206	0.000702	4.468697	1.334508	0.354672	11.462449	11.239633	0.604787
7,644	train	H0	H08	200	200	10	7	10	-0.135805	0.163736	-0.428446	-0.426897	1.067094	1.08611	1.377409	-0.426897	0.428446	0.502226	0.182241	0.010681	0.027236	0.825496	0.776882	-0.166307
7,644	train	H1	H08	200	200	10	8	13.5	0.356296	-0.320189	-0.842581	-0.839943	1.265431	1.46397	1.414546	-0.839943	0.842581	0.492987	0.705504	0.291656	0.102212	1.322378	1.31366	0.325626
7,644	train	H0	H08	300	300	10	9.666667	9.333333	-0.237754	0.174678	0.857295	0.85683	1.547096	2.215789	1.961573	-0.237754	0.857295	0.375016	0.734158	0.260432	0.030774	1.738551	1.780951	-0.1791
7,644	train	H1	H08	300	300	10	11.333333	7.666667	2.133071	-2.142554	-2.265524	-2.303076	5.404728	16.194895	5.329331	2.133071	2.265524	0.001034	5.304157	4.525716	4.596643	3.604718	3.490277	2.17491
7,644	train	H0	H08	500	500	10	11.4	7.2	-1.203393	1.173764	1.511232	1.51093	2.284953	8.029574	2.366376	1.51093	1.511232	0.045404	2.282909	1.972249	1.378298	2.077231	2.256431	-1.19161
7,644	train	H1	H08	500	500	10	10.4	8.6	2.017156	-1.98867	-2.421696	-2.443677	6.239481	6.583062	6.085978	-2.443677	2.421696	0.043189	5.971558	4.60666	3.956695	5.14363	5.14277	2.021881
7,644	train	H0	H08	1,000	1,000	10	9.2	10.3	0.299182	-0.328072	0.072327	0.072266	0.468819	0.507941	0.607462	0.299182	0.328072	0.738059	0.005222	0.027255	0.107378	0.218255	0.204442	0.332605
7,644	train	H1	H08	1,000	1,000	10	10.9	8.9	1.81051	-1.757284	-2.748148	-2.771289	10.490182	11.545815	9.725385	-2.771289	2.748148	0.00773	7.680044	4.449849	3.086878	9.61892	9.5307	1.785741
7,644	train	H0	H08	20	20	20	5	30	-0.092348	0.014764	0.606854	0.64146	3.304237	4.343689	3.064548	0.64146	0.606854	0.216044	0.41147	0.072261	0.000218	2.241289	2.088475	-0.010685
7,644	train	H1	H08	20	20	20	15	5	-0.425102	0.431684	0.356386	0.347482	0.177682	0.303419	0.183823	0.347482	0.431684	0.655079	0.120744	0.161485	0.184488	0.061956	0.050733	-0.446717
7,644	train	H0	H08	30	30	20	26.666667	23.333333	0.927417	-0.935415	-0.994032	-0.999365	0.999004	1.254594	0.998778	-0.999365	0.994032	0.326993	0.99873	0.985189	0.849289	0.588304	0.709569	0.980189
7,644	train	H1	H08	30	30	20	46.666667	13.333333	-1.187039	1.079126	1.498048	1.473104	2.448139	2.466824	2.435152	-1.187039	1.498048	0.240872	2.170037	1.614463	1.195449	2.913055	2.896633	-1.172809
7,644	train	H0	H08	50	50	20	18	24	2.111733	-2.17104	-1.459803	-1.459426	5.745024	5.698049	5.691706	2.111733	2.17104	0.023546	2.129924	3.892633	4.726666	0.125064	0.204177	2.264453
7,644	train	H1	H08	50	50	20	14	22	0.802469	-0.800335	-0.733347	-0.725055	0.570092	1.772505	0.644157	0.802469	0.800335	0.41021	0.525704	0.558502	0.633802	0.162106	0.115117	0.823524
7,644	train	H0	H08	75	75	20	20	18.666667	-0.378958	0.294565	0.684253	0.680456	0.517382	4.251345	0.737542	-0.378958	0.684253	0.235571	0.463021	0.29423	0.087994	0.764665	1.013034	-0.309047
7,644	train	H1	H08	75	75	20	24	26.666667	0.960128	-1.008372	-0.797313	-0.79537	0.806897	3.685719	0.972786	0.960128	1.008372	0.295891	0.632614	0.80198	1.011303	0.129536	0.086985	1.045286
7,644	train	H0	H08	100	100	20	20	18	-0.051838	0.067562	-0.21317	-0.211873	0.462307	0.683623	0.362972	-0.051838	0.21317	0.83403	0.04489	0.000085	0.005536	0.206993	0.180582	-0.075397
7,644	train	H1	H08	100	100	20	18	20	-0.008677	-0.046163	0.037161	0.037163	0.025451	2.132287	0.004724	-0.008677	0.046163	0.545409	0.001381	0.004955	0.001643	0.007792	0.01585	0.041658
7,644	train	H0	H08	150	150	20	16.666667	19.333333	-0.064247	-0.012534	0.445721	0.445096	0.40247	3.419774	0.800566	0.445096	0.445721	0.331317	0.198111	0.079784	0.000106	0.61066	0.68627	0.003591
7,644	train	H1	H08	150	150	20	20	20.666667	-0.510257	0.587796	-0.142398	-0.142419	2.243955	3.790915	2.386445	-0.510257	0.587796	0.284945	0.020283	0.11999	0.347376	0.919898	1.007601	-0.606619
7,644	train	H0	H08	200	200	20	22	22	0.651119	-0.642592	-0.445734	-0.445493	0.916022	2.526816	0.544169	-0.445493	0.642592	0.470464	0.198464	0.480146	0.409098	0.004925	0.016536	0.665874
7,644	train	H1	H08	200	200	20	16.5	23	0.344328	-0.268977	-1.251476	-1.25918	6.600587	12.466577	5.190254	0.344328	1.251476	0.005944	1.585534	0.294936	0.070721	4.276901	4.024044	0.279224
7,644	train	H0	H08	300	300	20	15	23	0.906983	-0.817008	-1.581697	-1.582272	3.954542	4.133599	3.893593	-1.582272	1.581697	0.142731	2.503584	1.192576	0.664919	3.808972	3.793882	0.841709
7,644	train	H1	H08	300	300	20	22	20.666667	-0.181301	0.245871	-0.536592	-0.53972	4.401647	8.841932	3.022666	-0.181301	0.536592	0.031468	0.291297	0.011041	0.061069	1.859726	1.727962	-0.254537
7,644	train	H0	H08	500	500	20	17	24.2	1.10045	-1.089808	-1.228047	-1.228719	1.534007	1.655087	1.510024	1.10045	1.228047	0.256702	1.509751	1.214999	1.185678	1.138404	1.240088	1.134221
7,644	train	H1	H08	500	500	20	20.2	16.2	1.015731	-1.025411	-0.920332	-0.921443	0.982315	0.921648	1.032259	-0.921443	1.025411	0.291228	0.849058	0.951551	1.049542	0.301537	0.323269	1.055431
7,644	train	H0	H08	1,000	1,000	20	21	20.8	2.085527	-2.140247	-1.464479	-1.464072	4.983752	5.283863	5.267287	2.085527	2.140247	0.026356	2.143508	3.750202	4.577651	0.116641	0.120229	2.220932
7,644	train	H1	H08	1,000	1,000	20	18.7	19.2	0.052887	0.011762	-0.927759	-0.929897	5.04073	6.40715	4.091374	0.052887	0.927759	0.093397	0.864708	0.056534	0.000155	3.022412	2.961288	-0.013152
7,644	train	H0	H08	20	20	30	20	30	1.613439	-1.584277	-1.836404	-1.919038	4.213528	6.006991	4.096999	-1.919038	1.836404	0.095395	3.682709	2.959082	2.47297	3.559395	3.407444	1.667603
7,644	train	H1	H08	20	20	30	10	20	1.86117	-1.862011	-2.023516	-2.096659	4.553508	8.939922	4.446437	1.86117	2.023516	0.0301	4.39598	3.799708	3.487723	3.194578	2.988689	1.931491
7,644	train	H0	H08	30	30	30	36.666667	40	0.40173	-0.600244	-0.128656	-0.1264	0.432105	1.628762	0.592264	0.40173	0.600244	0.532863	0.015977	0.116051	0.310411	0.154735	0.182716	0.623642
7,644	train	H1	H08	30	30	30	23.333333	36.666667	1.235873	-1.305254	-0.78514	-0.78273	2.561214	3.416914	2.807198	1.235873	1.305254	0.179493	0.612667	1.20148	1.711937	0.019526	0.013961	1.342317
7,644	train	H0	H08	50	50	30	30	28	-1.854774	1.767744	1.794461	1.831258	3.614886	3.846277	3.563283	-1.854774	1.794461	0.052689	3.353504	3.512658	3.202565	1.676038	1.859228	-1.937463
7,644	train	H1	H08	50	50	30	34	30	0.611101	-0.624624	-0.330324	-0.328094	0.884097	1.09849	0.923196	-0.328094	0.624624	0.517984	0.107646	0.234166	0.389947	0.034206	0.06795	0.646456
7,644	train	H0	H08	75	75	30	26.666667	25.333333	-1.630673	1.709844	1.141173	1.139413	3.221952	4.832871	3.572877	-1.630673	1.709844	0.074962	1.298262	2.187468	2.946406	0.029404	0.017088	-1.780694
7,644	train	H1	H08	75	75	30	30.666667	32	-0.715349	0.744286	0.463193	0.460496	0.787852	0.81538	0.764881	0.460496	0.744286	0.425226	0.212056	0.454308	0.566935	0.000247	0.000214	-0.797388
7,644	train	H0	H08	100	100	30	33	33	0.109244	-0.041808	-0.514406	-0.513591	1.403802	2.214372	1.218953	-0.513591	0.514406	0.529123	0.263776	0.034869	0.000957	0.899706	0.779882	0.034164
7,644	train	H1	H08	100	100	30	26	35	1.095963	-0.906368	-1.600085	-1.602802	3.311416	7.587877	3.757664	-1.602802	1.600085	0.055343	2.568976	1.656347	0.803626	3.745772	4.178248	0.941719
7,644	train	H0	H08	150	150	30	26.666667	23.333333	-0.987268	0.93538	1.068569	1.065698	1.182619	2.37692	1.136927	1.065698	1.068569	0.324626	1.135712	1.167346	0.882869	0.818886	0.926833	-0.984995
7,644	train	H1	H08	150	150	30	28.666667	24.666667	-1.414584	1.548892	0.536671	0.53689	5.248322	6.132883	5.594482	-1.414584	1.548892	0.060978	0.288251	1.42306	2.412111	0.721029	0.705633	-1.632659
7,644	train	H0	H08	200	200	30	28.5	32	0.498278	-0.545377	-0.228641	-0.228089	0.657402	0.780352	0.585875	-0.228089	0.545377	0.567744	0.052025	0.206127	0.290248	0.046386	0.028316	0.571377
7,644	train	H1	H08	200	200	30	27	29.5	1.923701	-1.86146	-1.976111	-1.98323	4.07827	4.467941	4.013131	-1.98323	1.976111	0.049053	3.933199	3.962288	3.461617	2.300355	2.426091	1.968131
7,644	train	H0	H08	300	300	30	27	28.666667	-0.934877	0.967557	0.484916	0.484778	2.53504	7.118255	1.796911	0.484778	0.967557	0.068223	0.23501	0.840999	0.938817	0.071639	0.035038	-1.009013
7,644	train	H1	H08	300	300	30	33	33.666667	0.726919	-0.737296	-0.745917	-0.744219	0.55396	1.526468	0.566299	0.726919	0.745917	0.430349	0.553862	0.517175	0.536903	0.295286	0.270626	0.788595
7,644	train	H0	H08	500	500	30	29.8	32.8	0.68878	-0.704889	-0.646824	-0.646082	0.448497	0.855991	0.47522	0.68878	0.704889	0.458063	0.417422	0.467239	0.492994	0.161848	0.169921	0.74204
7,644	train	H1	H08	500	500	30	29	33.2	1.228816	-1.035387	-1.989247	-1.992958	6.305852	7.36012	6.465052	-1.992958	1.989247	0.039458	3.971883	2.002236	1.066449	6.37184	6.493112	1.096846
7,644	train	H0	H08	1,000	1,000	30	33.5	32.8	1.350495	-1.422083	-1.058723	-1.058443	1.806785	3.307028	2.065458	1.350495	1.422083	0.131243	1.120302	1.632191	2.017169	0.136074	0.125302	1.50922
7,644	train	H1	H08	1,000	1,000	30	32.2	30.8	1.297843	-1.177339	-1.765671	-1.769478	3.878218	4.022346	3.845532	-1.769478	1.765671	0.146202	3.131054	1.956204	1.381389	3.757579	3.776472	1.247599
7,644	train	H0	H08	20	20	40	45	55	0.722427	-0.751079	-0.610535	-0.596747	0.640998	0.984817	0.599296	-0.596747	0.751079	0.444309	0.356107	0.462876	0.476098	0.003794	0.019947	0.764937
7,644	train	H1	H08	20	20	40	65	25	-1.738018	1.489193	1.915819	1.869433	3.522415	3.956749	3.507332	1.869433	1.915819	0.064967	3.49478	2.870032	2.443373	3.0315	2.932979	-1.845484
7,644	train	H0	H08	30	30	40	23.333333	33.333333	0.745506	-0.714813	-0.951258	-0.941489	0.990943	1.025709	0.99508	-0.941489	0.951258	0.448232	0.886401	0.677039	0.482543	0.734708	0.754452	0.758366
7,644	train	H1	H08	30	30	40	43.333333	36.666667	2.063153	-2.216097	-1.616769	-1.693798	5.292593	5.468111	5.215746	2.063153	2.216097	0.018908	2.868953	4.559833	4.935576	0.496051	0.653216	2.347336
7,644	train	H0	H08	50	50	40	44	40	-1.296973	1.257318	1.063404	1.061922	1.980212	1.917926	1.987951	-1.296973	1.257318	0.16741	1.127679	1.497658	1.635724	0.173358	0.244488	-1.380575
7,644	train	H1	H08	50	50	40	42	46	0.603787	-0.617468	-0.613502	-0.608762	0.371024	0.812294	0.377382	0.603787	0.617468	0.505171	0.370591	0.338751	0.363296	0.175003	0.17912	0.666376
7,644	train	H0	H08	75	75	40	44	46.666667	0.16408	-0.443032	0.49235	0.491866	3.729511	3.900786	3.832413	0.491866	0.49235	0.147164	0.241932	0.006412	0.184549	2.255634	2.192722	0.461734
7,644	train	H1	H08	75	75	40	33.333333	34.666667	-0.454467	0.274882	0.858843	0.859679	1.373127	1.863315	1.582675	0.859679	0.858843	0.453238	0.739048	0.341596	0.078181	1.586625	1.632379	-0.305418
7,644	train	H0	H08	100	100	40	37	48	1.734016	-1.576508	-1.932398	-1.930147	3.733506	4.278879	3.758051	-1.930147	1.932398	0.085261	3.725469	3.137211	2.448663	2.777054	2.966874	1.720943
7,644	train	H1	H08	100	100	40	43	41	-0.221398	0.38372	-0.067077	-0.066581	0.451628	2.504697	0.658064	-0.066581	0.38372	0.474443	0.004433	0.030073	0.158633	0.199172	0.274956	-0.430238
7,644	train	H0	H08	150	150	40	36.666667	48	1.639374	-1.46938	-2.122675	-2.124065	5.467668	5.519551	5.401792	-2.124065	2.122675	0.067145	4.511653	2.981543	2.126667	5.006483	4.966675	1.629799
7,644	train	H1	H08	150	150	40	45.333333	33.333333	-0.786277	0.746281	0.685924	0.686609	0.721086	1.679661	0.632792	-0.786277	0.746281	0.406874	0.471432	0.623419	0.573935	0.126172	0.176875	-0.829407
7,644	train	H0	H08	200	200	40	35	47.5	0.691546	-0.553205	-0.890012	-0.888389	0.833996	2.830791	0.931765	-0.888389	0.890012	0.418456	0.789236	0.522619	0.298012	0.855486	0.994523	0.592013
7,644	train	H1	H08	200	200	40	34	37	-0.035061	0.064174	-0.046787	-0.046786	0.015382	0.871187	0.048772	-0.046786	0.064174	0.832375	0.002189	0.000398	0.005088	0.013425	0.017805	-0.075432
7,644	train	H0	H08	300	300	40	41.333333	40	-0.827436	0.781582	0.739962	0.739165	0.747246	0.931003	0.693274	-0.827436	0.781582	0.39815	0.546364	0.697328	0.616847	0.177568	0.173005	-0.844931
7,644	train	H1	H08	300	300	40	39	36.333333	0.905801	-1.053511	-0.313367	-0.313427	2.77846	4.184123	3.108182	0.905801	1.053511	0.211381	0.098237	0.549053	1.097538	0.423795	0.445313	1.131283
7,644	train	H0	H08	500	500	40	41.6	36.4	-1.051573	1.141032	0.597589	0.598123	2.248265	2.518261	2.167027	-1.051573	1.141032	0.213013	0.357751	1.043663	1.313118	0.066098	0.067228	-1.245323
7,644	train	H1	H08	500	500	40	39	41	2.003496	-1.758376	-2.659288	-2.682705	9.416585	9.612048	9.382413	-2.682705	2.659288	0.009176	7.196904	4.537965	3.078724	9.233832	9.24186	1.907519
7,644	train	H0	H08	1,000	1,000	40	38.3	41.5	0.07333	0.111165	-0.671779	-0.671072	2.728577	2.691577	2.652816	-0.671072	0.671779	0.265429	0.450337	0.027589	0.013201	1.852454	1.799058	-0.12463
7,644	train	H1	H08	1,000	1,000	40	41.7	41	-0.076658	0.394401	-1.112698	-1.117213	13.546631	17.8557	11.966586	-1.117213	1.112698	0.000471	1.248165	0.001951	0.158456	7.741852	7.61068	-0.434795

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