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	H07	20	20	0	0	0	-0.622152	0.622152	-0.397416	-0.402626	5.541327	5.58636	5.426708	-0.622152	0.622152	0.066314	0.162108	0.044495	0.388399	2.553386	2.37209	-0.630078
7,647	train	H0	H07	30	30	0	0	0	-0.739221	0.739221	-0.290759	-0.292398	4.808909	4.55405	4.967977	-0.739221	0.739221	0.08341	0.085496	0.101216	0.547915	2.029605	1.875957	-0.74546
7,647	train	H1	H07	30	30	0	0	0	-1.315814	1.315814	1.747145	1.79223	3.575905	3.638699	3.649725	1.79223	1.747145	0.16124	3.212087	2.445608	1.740688	3.843028	3.940539	-1.326918
7,647	train	H0	H07	50	50	0	0	0	-0.261965	0.261965	0.05302	0.052308	0.212048	0.379996	0.199463	-0.261965	0.261965	0.792331	0.002736	0.032433	0.068391	0.014233	0.003909	-0.263285
7,647	train	H1	H07	50	50	0	0	0	0.23439	-0.23439	-0.562262	-0.557968	0.55963	0.613611	0.592197	-0.557968	0.562262	0.743714	0.311329	0.13657	0.054753	0.4841	0.47161	0.235571
7,647	train	H0	H07	75	75	0	0	0	-0.276266	0.276266	0.286133	0.283203	0.080631	0.24732	0.083743	-0.276266	0.286133	0.783057	0.080204	0.076804	0.076126	0.071507	0.057192	-0.275338
7,647	train	H1	H07	75	75	0	0	0	1.475301	-1.475301	-1.417071	-1.415298	2.280551	2.319124	2.245436	-1.415298	1.475301	0.141469	2.003069	2.278271	2.178936	0.907373	0.927084	1.470342
7,647	train	H0	H07	100	100	0	0	0	-0.307867	0.307867	-0.053232	-0.053093	0.970759	2.357123	0.533532	-0.307867	0.307867	0.501666	0.002819	0.064896	0.094644	0.150557	0.102727	-0.30864
7,647	train	H1	H07	100	100	0	0	0	-0.224792	0.224792	0.132553	0.131798	0.104499	0.277782	0.067511	0.131798	0.224792	0.821702	0.017371	0.052551	0.050435	0.001766	0.000306	-0.225356
7,647	train	H0	H07	150	150	0	0	0	-1.066224	1.066224	1.587959	1.601097	3.404721	5.359676	3.071547	1.601097	1.587959	0.147277	2.563512	1.560098	1.136742	3.154157	3.019372	-1.068006
7,647	train	H1	H07	150	150	0	0	0	0.650916	-0.650916	0.015461	0.015408	1.189354	3.529179	1.814868	0.650916	0.650916	0.316997	0.000237	0.128238	0.423449	0.485725	0.5551	0.652004
7,647	train	H0	H07	200	200	0	0	0	-1.181515	1.181515	0.193351	0.193036	3.903661	3.616969	4.267149	-1.181515	1.181515	0.118413	0.037263	0.66375	1.396851	0.772924	0.713541	-1.182994
7,647	train	H1	H07	200	200	0	0	0	1.127888	-1.127888	-1.66649	-1.683255	4.174755	10.193019	3.382045	1.127888	1.66649	0.016995	2.833346	1.593271	1.271732	3.20805	3.056851	1.129301
7,647	train	H0	H07	300	300	0	0	0	-0.264709	0.264709	0.537619	0.536668	0.394709	1.103919	0.453691	-0.264709	0.537619	0.776128	0.288012	0.150552	0.070026	0.480693	0.53352	-0.26493
7,647	train	H1	H07	300	300	0	0	0	0.527063	-0.527063	-1.354279	-1.362222	4.473796	6.497065	3.737325	-1.362222	1.354279	0.089778	1.855649	0.650921	0.277679	3.373558	3.248926	0.527502
7,647	train	H0	H07	500	500	0	0	0	0.784385	-0.784385	-0.508687	-0.507935	0.898794	1.177541	0.735232	-0.507935	0.784385	0.432584	0.257998	0.536242	0.615139	0.00676	0.01159	0.784777
7,647	train	H1	H07	500	500	0	0	0	2.767245	-2.767245	-1.722797	-1.725712	9.980533	10.003716	9.557045	2.767245	2.767245	0.005629	2.978082	6.141461	7.673044	0.073229	0.099669	2.768629
7,647	train	H0	H07	1,000	1,000	0	0	0	-0.97598	0.97598	1.296235	1.296182	1.772547	1.910682	1.768796	1.296182	1.296235	0.328953	1.680088	1.243948	0.952478	1.647077	1.692202	-0.976224
7,647	train	H1	H07	1,000	1,000	0	0	0	2.94761	-2.94761	-2.543357	-2.546433	8.882355	8.864664	8.697655	2.94761	2.94761	0.003195	6.484323	8.428682	8.697122	2.203399	2.29339	2.948348
7,647	train	H0	H07	20	20	10	20	20	0.125417	-0.059352	-0.411784	-0.418442	0.776212	0.78892	0.774401	-0.418442	0.411784	0.678955	0.175094	0.046323	0.003506	0.40461	0.386361	0.060193
7,647	train	H1	H07	20	20	10	5	5	0.689971	-0.690069	-0.923969	-0.924621	1.020561	1.082192	0.997707	-0.924621	0.923969	0.481282	0.854925	0.630023	0.472823	0.754033	0.735345	0.704243
7,647	train	H0	H07	30	30	10	6.666667	16.666667	0.611563	-0.599297	-0.662796	-0.651791	0.432616	1.552978	0.427474	-0.651791	0.662796	0.537537	0.424831	0.343674	0.357802	0.217682	0.149174	0.616542
7,647	train	H1	H07	30	30	10	10	3.333333	0.188814	-0.182789	0.468784	0.468373	2.615946	4.072207	2.204936	0.188814	0.468784	0.253772	0.219374	0.001995	0.033243	1.416322	1.223418	0.182811
7,647	train	H0	H07	50	50	10	6	10	-0.750117	0.77543	0.451458	0.447666	0.624578	1.503543	0.79635	-0.750117	0.77543	0.432322	0.200405	0.409226	0.60195	0.000023	0.000798	-0.785224
7,647	train	H1	H07	50	50	10	10	10	2.591455	-2.588285	-2.232899	-2.310242	7.1604	7.825487	6.881616	2.591455	2.588285	0.008278	5.337217	6.713678	6.830868	1.903211	2.310295	2.640501
7,647	train	H0	H07	75	75	10	17.333333	8	-0.114354	0.067245	0.577916	0.574783	1.389015	1.524796	1.23453	-0.114354	0.577916	0.539418	0.330375	0.055308	0.004511	1.059193	1.046866	-0.072799
7,647	train	H1	H07	75	75	10	13.333333	5.333333	-0.661619	0.651735	0.740619	0.733182	0.544224	0.987487	0.537819	-0.661619	0.740619	0.51136	0.537556	0.454182	0.423844	0.468772	0.418268	-0.656722
7,647	train	H0	H07	100	100	10	11	8	0.243064	-0.249762	-0.192217	-0.190955	0.036769	0.92615	0.062671	-0.190955	0.249762	0.801432	0.036464	0.037082	0.062264	0.000554	0.001026	0.251495
7,647	train	H1	H07	100	100	10	12	11	-0.021711	0.003751	0.24939	0.249877	0.774959	8.277366	0.285621	0.249877	0.24939	0.040614	0.062438	0.000476	0.000014	0.232635	0.160682	-0.010547
7,647	train	H0	H07	150	150	10	9.333333	7.333333	-0.116345	0.134106	-0.102607	-0.102159	0.176515	0.224111	0.212832	-0.102159	0.134106	0.892637	0.010436	0.001112	0.017962	0.075611	0.077547	-0.134968
7,647	train	H1	H07	150	150	10	8.666667	10	1.228506	-1.238237	-0.868291	-0.865592	1.482134	2.36615	1.777221	1.228506	1.238237	0.212692	0.74925	1.157301	1.533571	0.041059	0.035327	1.246198
7,647	train	H0	H07	200	200	10	9.5	6	-0.111927	0.103962	0.212534	0.212036	0.080275	0.08655	0.07242	0.212036	0.212534	0.915951	0.044959	0.021897	0.010801	0.08788	0.090294	-0.105536
7,647	train	H1	H07	200	200	10	11.5	8.5	0.085287	-0.046051	-0.560193	-0.56213	0.64131	6.510513	1.21739	-0.56213	0.560193	0.089249	0.31599	0.132589	0.002121	0.899593	1.03158	0.043118
7,647	train	H0	H07	300	300	10	9.333333	7.333333	2.278092	-2.287232	-1.812831	-1.816792	5.66658	5.800781	5.402244	2.278092	2.287232	0.0213	3.300734	4.941583	5.245405	0.733713	0.798235	2.302624
7,647	train	H1	H07	300	300	10	10.333333	12	0.355702	-0.336147	-0.49456	-0.493321	0.276792	0.475076	0.280822	-0.493321	0.49456	0.734473	0.243365	0.158551	0.112934	0.245374	0.266957	0.339181
7,647	train	H0	H07	500	500	10	11.4	9.8	-1.074068	1.031266	1.449293	1.448975	2.441404	2.556848	2.334816	1.448975	1.449293	0.297998	2.099529	1.360747	1.063382	2.267078	2.228749	-1.040737
7,647	train	H1	H07	500	500	10	9.2	11	1.416818	-1.361732	-2.154144	-2.164612	6.321217	6.545289	6.153285	1.416818	2.154144	0.046114	4.685547	2.809563	1.854489	6.047375	6.08148	1.367182
7,647	train	H0	H07	1,000	1,000	10	10.2	10.2	0.163896	-0.148934	-0.388104	-0.387989	0.345424	0.399131	0.314527	0.163896	0.388104	0.854479	0.150535	0.05068	0.022177	0.275948	0.283366	0.15002
7,647	train	H1	H07	1,000	1,000	10	11.1	8.1	3.002506	-3.045925	-1.771418	-1.774091	13.75304	13.833332	13.050666	3.002506	3.045925	0.001466	3.147398	7.225	9.289964	0.000005	0.000659	3.065039
7,647	train	H0	H07	20	20	20	25	20	-0.101846	0.116565	-0.011802	-0.011567	0.219477	3.791167	0.088488	-0.011567	0.116565	0.284915	0.000134	0.021008	0.013477	0.005158	0.006763	-0.115276
7,647	train	H1	H07	20	20	20	15	10	0.128555	-0.113686	-0.399599	-0.396365	0.605491	1.322405	0.500262	-0.396365	0.399599	0.72382	0.157105	0.04237	0.012803	0.265546	0.194878	0.116195
7,647	train	H0	H07	30	30	20	23.333333	20	-1.018075	0.987341	1.279236	1.293759	2.123392	3.717967	1.969895	-1.018075	1.279236	0.293573	1.673813	1.176857	0.973386	2.283569	2.130165	-1.012092
7,647	train	H1	H07	30	30	20	13.333333	10	0.074476	-0.067668	-0.248799	-0.244953	0.179688	0.212951	0.18405	-0.244953	0.248799	0.912082	0.060002	0.020872	0.004556	0.093195	0.060453	0.068915
7,647	train	H0	H07	50	50	20	14	22	1.810183	-1.805124	-1.940492	-1.971063	3.889005	4.144732	3.885183	-1.971063	1.940492	0.067762	3.885088	3.795318	3.288144	2.723279	2.80644	1.826589
7,647	train	H1	H07	50	50	20	24	16	0.056707	-0.059236	-0.00861	-0.008531	0.035841	0.432273	0.014094	0.056707	0.059236	0.933498	0.000073	0.006089	0.003498	0.021099	0.004902	0.057459
7,647	train	H0	H07	75	75	20	14.666667	18.666667	1.137823	-1.053368	-1.559519	-1.570385	2.868874	3.6677	3.007554	-1.570385	1.559519	0.222289	2.46611	1.729333	1.109913	2.804568	2.851108	1.068034
7,647	train	H1	H07	75	75	20	24	24	-0.862083	0.814379	0.974867	0.975773	1.00483	1.766688	0.96865	-0.862083	0.974867	0.412657	0.952134	0.726739	0.663377	0.939381	0.868571	-0.819226
7,647	train	H0	H07	100	100	20	20	21	1.149293	-1.114705	-1.321647	-1.326592	1.861081	3.545878	1.791632	1.149293	1.321647	0.254229	1.759847	1.375379	1.243537	1.372969	1.240305	1.140137
7,647	train	H1	H07	100	100	20	23	11	-0.295123	0.229572	0.757655	0.755371	1.471484	1.480791	1.529048	-0.295123	0.757655	0.465555	0.570586	0.202039	0.052631	1.46302	1.434487	-0.235916
7,647	train	H0	H07	150	150	20	18.666667	18.666667	0.386167	-0.328249	-0.64945	-0.649328	0.537152	2.86361	0.698222	-0.649328	0.64945	0.413135	0.421627	0.278541	0.107708	0.626687	0.710611	0.331463
7,647	train	H1	H07	150	150	20	14.666667	17.333333	1.804031	-1.749058	-1.904645	-1.918315	3.74489	4.675599	3.70009	-1.918315	1.904645	0.076799	3.679931	3.594635	3.065309	2.394117	2.472685	1.769566
7,647	train	H0	H07	200	200	20	19	20	0.768483	-0.738626	-0.826058	-0.824531	0.681815	0.831807	0.681199	0.768483	0.826058	0.45322	0.679852	0.564952	0.545365	0.415733	0.402368	0.750058
7,647	train	H1	H07	200	200	20	25.5	20	-0.319365	0.321453	0.3884	0.387447	0.150162	0.31382	0.159764	-0.319365	0.3884	0.743385	0.150115	0.161933	0.103244	0.177633	0.161878	-0.327374
7,647	train	H0	H07	300	300	20	23.333333	17.666667	0.242657	-0.209748	-0.438064	-0.439942	0.289078	0.794109	0.366214	0.242657	0.438064	0.832679	0.193549	0.118781	0.043996	0.307618	0.307247	0.209461
7,647	train	H1	H07	300	300	20	20	19	-0.819482	0.848296	0.442073	0.441822	1.576641	2.257217	1.252068	0.441822	0.848296	0.390572	0.195207	0.606833	0.719328	0.025174	0.017873	-0.858581
7,647	train	H0	H07	500	500	20	19.8	20.6	0.029335	0.032038	-0.488612	-0.488678	1.428203	1.594281	1.340636	-0.488678	0.488612	0.511546	0.238806	0.024274	0.001026	0.887121	0.852729	-0.032008
7,647	train	H1	H07	500	500	20	20.6	16.4	0.804965	-0.75143	-0.938112	-0.941158	0.887733	2.837667	0.903555	-0.941158	0.938112	0.417337	0.885779	0.79606	0.564908	0.729765	0.810433	0.759144
7,647	train	H0	H07	1,000	1,000	20	22.4	20.1	-1.246214	1.303843	0.619342	0.619694	3.570612	4.357671	3.301895	-1.246214	1.303843	0.185975	0.384021	1.186476	1.70022	0.134998	0.112788	-1.32258
7,647	train	H1	H07	1,000	1,000	20	19.4	20.8	3.45201	-3.509914	-2.811737	-2.817701	12.470332	13.377613	12.675694	3.45201	3.509914	0.000373	7.939442	11.087138	12.338062	1.785686	1.798071	3.558692
7,647	train	H0	H07	20	20	30	35	40	-0.241814	0.254102	0.07037	0.069923	0.48505	3.349848	0.374173	0.069923	0.254102	0.340765	0.004889	0.048927	0.064251	0.038859	0.017998	-0.277264
7,647	train	H1	H07	20	20	30	40	15	-1.857847	1.77773	1.772096	1.793519	3.392359	8.310234	3.506485	-1.857847	1.77773	0.040017	3.216711	3.102356	3.205286	1.435476	1.301333	-1.820764
7,647	train	H0	H07	30	30	30	33.333333	23.333333	-1.919718	1.946677	1.713623	1.748161	3.767196	3.741008	3.776576	-1.919718	1.946677	0.044566	3.056066	3.614338	3.818727	1.098381	1.154183	-2.008726
7,647	train	H1	H07	30	30	30	36.666667	26.666667	0.035314	0.042191	-0.292804	-0.295143	0.754772	0.877776	0.717645	-0.295143	0.292804	0.698498	0.08711	0.009082	0.001773	0.278753	0.25427	-0.048434
7,647	train	H0	H07	50	50	30	26	38	1.18043	-1.070969	-1.46362	-1.458271	2.585	3.279611	2.492842	-1.458271	1.46362	0.267253	2.126556	1.467847	1.145733	2.12427	2.013176	1.109411
7,647	train	H1	H07	50	50	30	30	34	1.036118	-0.802124	-1.662834	-1.713036	6.699771	6.615202	6.734807	-1.713036	1.662834	0.034479	2.934493	1.467253	0.644598	5.860063	5.769124	0.834376
7,647	train	H0	H07	75	75	30	28	38.666667	2.314711	-2.299899	-2.194387	-2.223737	5.339155	6.100654	5.402737	-2.223737	2.299899	0.019655	4.945007	5.242618	5.317886	2.283825	2.284529	2.332866
7,647	train	H1	H07	75	75	30	30.666667	29.333333	0.140483	-0.082008	-0.237597	-0.236995	0.176846	1.562376	0.119772	-0.236995	0.237597	0.667951	0.056167	0.01023	0.006715	0.069586	0.056923	0.085452
7,647	train	H0	H07	100	100	30	30	34	0.970797	-1.017507	-0.7023	-0.699439	1.1691	2.837486	1.34982	0.970797	1.017507	0.295565	0.489214	0.741943	1.034955	0.003688	0.000948	1.045992
7,647	train	H1	H07	100	100	30	26	32	1.607675	-1.542095	-1.778519	-1.78203	3.257464	4.120465	3.210437	-1.78203	1.778519	0.115842	3.175631	2.613392	2.381463	2.366017	2.22704	1.57247
7,647	train	H0	H07	150	150	30	32	27.333333	-1.154138	1.003175	1.590441	1.603563	3.660734	3.95397	3.557194	1.603563	1.590441	0.168875	2.571413	1.525992	1.006072	3.694039	3.557212	-1.025992
7,647	train	H1	H07	150	150	30	26.666667	27.333333	-0.308563	0.395926	-0.073924	-0.073765	1.403431	3.14902	1.117092	-0.073765	0.395926	0.369215	0.005441	0.08049	0.156622	0.357803	0.312941	-0.402795
7,647	train	H0	H07	200	200	30	19.5	30	1.905799	-1.858098	-2.009871	-2.007537	4.05343	4.176038	4.04716	1.905799	2.009871	0.058116	4.030204	3.888777	3.455253	2.639509	2.69704	1.894823
7,647	train	H1	H07	200	200	30	29.5	30.5	0.285352	-0.335392	-0.120023	-0.11984	0.15485	1.228764	0.253987	-0.11984	0.335392	0.731006	0.014362	0.039444	0.112428	0.039013	0.041085	0.343788
7,647	train	H0	H07	300	300	30	30.333333	29	-1.373206	1.264682	1.677968	1.687448	3.062331	7.557751	3.255888	-1.373206	1.677968	0.056093	2.847482	2.386508	1.600542	3.211433	3.310885	-1.286533
7,647	train	H1	H07	300	300	30	27.333333	30.666667	0.799591	-0.635262	-1.368556	-1.370971	3.824629	3.855215	3.746387	-1.370971	1.368556	0.153632	1.879561	0.833819	0.403418	3.413583	3.359673	0.648364
7,647	train	H0	H07	500	500	30	26	29.6	1.11162	-1.039989	-1.434928	-1.436052	2.656138	4.06547	2.451039	1.11162	1.434928	0.254481	2.062246	1.321869	1.081599	2.32381	2.319974	1.059359
7,647	train	H1	H07	500	500	30	34.4	30.6	1.010671	-1.015365	-0.925302	-0.928642	0.970253	1.532445	1.026801	-0.928642	1.015365	0.297775	0.862376	0.93554	1.031589	0.285743	0.276097	1.041216
7,647	train	H0	H07	1,000	1,000	30	30.3	31.4	-0.014368	-0.094616	0.37464	0.374732	0.91149	2.638802	1.112007	0.374732	0.37464	0.450728	0.140424	0.0185	0.008952	0.724136	0.730806	0.09599
7,647	train	H1	H07	1,000	1,000	30	29.4	30.6	3.304417	-3.280134	-3.119374	-3.133909	10.827403	11.061157	10.955873	3.304417	3.280134	0.000813	9.821388	10.738521	10.77606	4.422902	4.445602	3.348448
7,647	train	H0	H07	20	20	40	25	35	0.364202	-0.129086	-1.199141	-1.290127	14.830016	16.027894	14.4928	-1.290127	1.199141	0.000713	1.664428	0.408835	0.016875	10.607512	10.321181	0.199735
7,647	train	H1	H07	20	20	40	30	40	1.263183	-1.342508	-1.017255	-1.012306	1.806061	2.511636	1.941858	-1.012306	1.342508	0.16933	1.024762	1.412184	1.802275	0.068751	0.065687	1.374361
7,647	train	H0	H07	30	30	40	33.333333	53.333333	1.835797	-1.760367	-1.855749	-1.87169	3.518469	3.535009	3.519187	-1.87169	1.855749	0.061186	3.503223	3.353031	3.104976	1.946007	1.923848	1.872148
7,647	train	H1	H07	30	30	40	40	46.666667	-0.186351	0.668524	-0.662269	-0.6655	8.488869	9.413906	8.82748	-0.6655	0.668524	0.01211	0.442891	0.021601	0.449424	4.90222	4.757903	-0.641524
7,647	train	H0	H07	50	50	40	42	48	0.227385	-0.38229	0.106594	0.10708	1.520037	1.855995	1.592931	0.10708	0.38229	0.45092	0.011466	0.028015	0.145852	0.733134	0.734087	0.409149
7,647	train	H1	H07	50	50	40	38	18	-1.262643	1.079374	1.689959	1.695175	3.556758	5.561874	3.757694	-1.262643	1.689959	0.134984	2.873619	1.994485	1.163857	4.139896	4.384781	-1.119742
7,647	train	H0	H07	75	75	40	41.333333	38.666667	-1.578394	1.563137	1.519668	1.541272	2.518617	2.524383	2.518279	-1.578394	1.563137	0.10685	2.375519	2.536088	2.451329	1.335805	1.378154	-1.612516
7,647	train	H1	H07	75	75	40	34.666667	49.333333	2.034393	-2.232322	-1.626518	-1.625018	4.8569	13.435658	5.434632	2.034393	2.232322	0.003783	2.640683	3.758603	4.998714	0.259815	0.220541	2.294341
7,647	train	H0	H07	100	100	40	40	38	0.562244	-0.614588	-0.293237	-0.292854	1.040064	1.737063	0.919354	-0.292854	0.614588	0.525036	0.085763	0.287981	0.377419	0.083744	0.07472	0.635602
7,647	train	H1	H07	100	100	40	47	38	-1.081238	1.040854	1.092553	1.090043	1.20158	1.22679	1.199965	-1.081238	1.092553	0.283311	1.188193	1.17865	1.081798	0.908898	0.941881	-1.072912
7,647	train	H0	H07	150	150	40	38.666667	46.666667	1.357651	-1.143695	-1.770748	-1.782504	4.905011	4.910018	4.872622	-1.782504	1.770748	0.087483	3.177322	2.015585	1.308654	4.555716	4.50948	1.170098
7,647	train	H1	H07	150	150	40	38.666667	38.666667	1.216172	-1.166204	-1.194091	-1.199919	1.502598	1.522663	1.498906	-1.199919	1.194091	0.232094	1.439806	1.452484	1.362134	0.662276	0.684157	1.194981
7,647	train	H0	H07	200	200	40	45	33.5	-0.866762	0.321565	2.123177	2.136259	20.527255	20.291095	20.534253	2.136259	2.123177	0.000035	4.563602	1.040728	0.103392	15.051347	14.687127	-0.334034
7,647	train	H1	H07	200	200	40	39.5	38	1.655328	-1.638634	-1.512731	-1.529346	2.858132	3.304255	2.781845	-1.529346	1.638634	0.092178	2.3389	2.778702	2.692191	0.806532	0.83519	1.684021
7,647	train	H0	H07	300	300	40	40.333333	43.333333	1.055924	-0.768319	-1.521886	-1.529574	4.66715	5.478737	4.468844	-1.529574	1.521886	0.107054	2.339596	1.064633	0.590307	4.195531	4.135275	0.7907
7,647	train	H1	H07	300	300	40	38.666667	42	1.96284	-1.852513	-2.069845	-2.079866	4.369583	6.379382	4.329653	-2.079866	2.069845	0.055855	4.325844	3.516806	3.436458	3.093116	3.080698	1.912169
7,647	train	H0	H07	500	500	40	41.8	41	-0.823697	0.763418	0.912511	0.912942	0.843567	1.269267	0.856993	-0.823697	0.912511	0.429754	0.833462	0.771518	0.582798	0.776779	0.795507	-0.789613
7,647	train	H1	H07	500	500	40	41	41.2	2.171359	-2.318861	-1.629198	-1.631201	6.787097	6.900342	6.944639	2.171359	2.318861	0.017082	2.660816	4.414868	5.38599	0.069501	0.075354	2.384941
7,647	train	H0	H07	1,000	1,000	40	39.5	40.7	1.962748	-2.012303	-1.695701	-1.698044	4.574868	8.339679	4.16388	1.962748	2.012303	0.038028	2.883353	4.180647	4.052581	0.692252	0.708235	2.074555
7,647	train	H1	H07	1,000	1,000	40	38.9	39.4	3.307534	-3.415583	-2.969138	-2.987646	10.821946	15.608372	11.296548	3.307534	3.415583	0.000459	8.92603	10.529391	11.691352	2.931106	2.897195	3.503718

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