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
7,648	train	H0	H29	20	20	30	10	25	-0.076384	0.042108	0.096413	0.097165	0.01123	0.011325	0.011425	-0.076384	0.096413	0.967774	0.009441	0.004024	0.00176	0.066572	0.061827	-0.0404
7,648	train	H1	H29	20	20	30	20	15	0.477883	-0.525749	-0.170516	-0.165981	0.681991	0.897577	0.598654	-0.165981	0.525749	0.581104	0.02755	0.17177	0.275095	0.147656	0.089694	0.551773
7,648	train	H0	H29	30	30	30	36.666667	26.666667	-0.220621	-0.008024	0.724331	0.731209	3.594614	9.225716	3.084277	0.731209	0.724331	0.026436	0.534666	0.038794	0.000064	1.931839	1.597507	-0.000175
7,648	train	H1	H29	30	30	30	20	20	0.605948	-0.532314	-0.942953	-0.953211	1.478117	1.423845	1.508121	-0.953211	0.942953	0.470452	0.908611	0.521892	0.283731	1.346622	1.246991	0.561573
7,648	train	H0	H29	50	50	30	32	30	0.328494	-0.573888	0.59825	0.599873	7.404057	7.361802	7.256414	0.599873	0.59825	0.026564	0.359847	0.013001	0.329035	3.555817	3.365917	0.607922
7,648	train	H1	H29	50	50	30	24	40	0.64237	-0.724212	-0.508038	-0.505907	0.346028	4.159981	0.490494	0.64237	0.724212	0.244699	0.255942	0.305109	0.524713	0.012879	0.000201	0.761686
7,648	train	H0	H29	75	75	30	21.333333	26.666667	0.204459	-0.221197	-0.097448	-0.096744	0.06845	0.366628	0.102252	-0.096744	0.221197	0.82215	0.009359	0.025394	0.048814	0.015221	0.024871	0.224781
7,648	train	H1	H29	75	75	30	33.333333	22.666667	0.761931	-0.967697	0.178707	0.178023	5.861709	6.836084	6.464227	0.178023	0.967697	0.039474	0.031692	0.223512	0.939499	2.17694	2.146409	0.98029
7,648	train	H0	H29	100	100	30	32	27	0.196549	-0.425015	0.600498	0.602061	5.983401	6.870114	5.565188	0.602061	0.600498	0.061878	0.362477	0.005467	0.180414	2.773271	2.645233	0.435405
7,648	train	H1	H29	100	100	30	28	29	-0.32674	0.330714	0.265977	0.264526	0.145357	0.228852	0.116627	-0.32674	0.330714	0.734531	0.069974	0.126349	0.109276	0.019586	0.021877	-0.339104
7,648	train	H0	H29	150	150	30	38	26	-1.144861	1.070373	1.310392	1.304476	1.738604	1.763697	1.745782	-1.144861	1.310392	0.27037	1.701659	1.466837	1.14451	1.560416	1.455793	-1.102211
7,648	train	H1	H29	150	150	30	28.666667	30	2.481154	-2.616537	-1.814498	-1.828652	7.398755	16.177159	8.421812	2.481154	2.616537	0.001043	3.343967	4.954128	6.885907	0.218566	0.181897	2.696764
7,648	train	H0	H29	200	200	30	31	29	-0.853691	0.752941	1.144394	1.14461	1.640452	1.641926	1.676106	-0.853691	1.144394	0.432552	1.310131	0.890428	0.566961	1.783643	1.768272	-0.774326
7,648	train	H1	H29	200	200	30	31	37	2.097505	-2.080774	-1.839635	-1.842006	4.485127	4.485036	4.575786	-1.842006	2.080774	0.032118	3.392985	4.032221	4.334382	0.985405	0.966725	2.142937
7,648	train	H0	H29	300	300	30	29.333333	32.333333	-0.104725	0.282958	-0.561421	-0.562467	3.769523	4.095248	3.47772	-0.562467	0.561421	0.175721	0.31637	0.000546	0.080039	2.144916	2.118246	-0.290703
7,648	train	H1	H29	300	300	30	26.666667	28	2.654919	-2.924263	-1.252535	-1.25392	16.275926	17.986942	17.76883	2.654919	2.924263	0.000139	1.572315	5.110665	8.582603	0.831379	0.815558	2.995391
7,648	train	H0	H29	500	500	30	31.8	29.2	-0.190489	0.109216	0.460987	0.460831	0.637269	0.636166	0.664473	0.460831	0.460987	0.717318	0.212365	0.065517	0.011925	0.595854	0.593459	-0.111584
7,648	train	H1	H29	500	500	30	31.4	28.2	1.632112	-2.017585	-0.15367	-0.153647	13.265185	26.417249	16.767497	-0.153647	2.017585	0.000008	0.023607	1.352926	4.080342	3.747758	3.966551	2.072998
7,648	train	H0	H29	1,000	1,000	30	31.2	31	-0.279077	0.310181	0.116424	0.116388	0.416844	2.276107	0.247744	0.116388	0.310181	0.517114	0.013546	0.10067	0.096198	0.021861	0.018596	-0.316931
7,648	train	H1	H29	1,000	1,000	30	32.3	31.1	3.824456	-4.348346	-1.758751	-1.762005	33.485822	75.196979	42.234301	3.824456	4.348346	0	3.104662	9.545684	19.005661	2.426736	2.508384	4.46404
7,648	train	H0	H29	20	20	40	60	30	-1.107369	0.970188	1.366983	1.35812	2.816271	4.297432	2.749533	1.35812	1.366983	0.231086	1.844489	1.305996	0.966494	2.959078	2.879422	-1.057456
7,648	train	H1	H29	20	20	40	45	40	-0.29321	0.152925	0.732601	0.728832	2.52613	2.552554	2.496191	0.728832	0.732601	0.287051	0.531196	0.166	0.023276	2.181195	2.097847	-0.218106
7,648	train	H0	H29	30	30	40	30	33.333333	-0.294834	0.339167	0.203194	0.202198	0.090945	2.825913	0.146695	-0.294834	0.339167	0.419252	0.040884	0.060401	0.115061	0.00768	0.005612	-0.342932
7,648	train	H1	H29	30	30	40	30	46.666667	1.861191	-1.998576	-1.435351	-1.439638	5.189224	6.956911	4.912566	1.861191	1.998576	0.038089	2.072557	3.571652	4.03603	0.148844	0.275097	2.073891
7,648	train	H0	H29	50	50	40	44	44	0.562405	-0.67392	-0.320284	-0.320062	1.048444	2.036958	1.124355	-0.320062	0.67392	0.484377	0.10244	0.258811	0.453947	0.120146	0.126243	0.69928
7,648	train	H1	H29	50	50	40	52	42	0.304616	-0.454281	-0.132909	-0.132998	0.24262	9.028144	0.461513	-0.132998	0.454281	0.028919	0.017689	0.044545	0.207057	0.047376	0.16374	0.494697
7,648	train	H0	H29	75	75	40	37.333333	44	1.064614	-0.861136	-1.393153	-1.409933	3.268295	3.378325	3.223075	-1.409933	1.393153	0.199581	1.98791	1.18361	0.740937	2.876873	2.936824	0.875292
7,648	train	H1	H29	75	75	40	38.666667	38.666667	1.94824	-2.152287	-1.437565	-1.452329	4.749404	17.243782	5.606227	1.94824	2.152287	0.00063	2.109259	3.182944	4.684368	0.111041	0.065214	2.224349
7,648	train	H0	H29	100	100	40	44	37	-0.947777	1.082824	0.679774	0.679262	1.406303	1.723492	1.477784	0.679262	1.082824	0.263258	0.461397	0.873302	1.171064	0.002084	0.007058	-1.118725
7,648	train	H1	H29	100	100	40	36	38	0.908581	-1.075367	-0.385509	-0.382929	2.639631	2.544958	2.659849	0.908581	1.075367	0.262367	0.146634	0.705952	1.155725	0.334807	0.264782	1.120814
7,648	train	H0	H29	150	150	40	41.333333	34	-0.890265	0.577417	1.583487	1.601192	7.750252	7.747946	7.739316	1.601192	1.583487	0.020866	2.563816	1.001636	0.333249	6.646803	6.56244	-0.577538
7,648	train	H1	H29	150	150	40	44.666667	37.333333	0.990321	-1.187218	-0.501191	-0.503264	2.732512	7.520964	3.301436	-0.503264	1.187218	0.057022	0.253275	0.71172	1.41397	0.296774	0.336384	1.233724
7,648	train	H0	H29	200	200	40	36.5	42	0.548995	-0.362247	-0.937488	-0.935697	1.976454	2.864396	2.115143	-0.935697	0.937488	0.347298	0.875528	0.412934	0.131142	1.802382	1.891369	0.376017
7,648	train	H1	H29	200	200	40	37.5	36	1.38238	-1.553272	-0.781936	-0.780536	3.513351	9.175596	4.610014	1.38238	1.553272	0.027045	0.609237	1.29683	2.419071	0.160621	0.208794	1.601551
7,648	train	H0	H29	300	300	40	43	43	0.940398	-1.044259	-0.703343	-0.703405	1.380194	1.490024	1.336922	0.940398	1.044259	0.282096	0.494779	0.901842	1.090384	0.003471	0.005704	1.075624
7,648	train	H1	H29	300	300	40	37.666667	42.666667	1.984858	-2.080389	-1.611819	-1.610033	4.210992	7.02932	4.728141	-1.610033	2.080389	0.031116	2.592207	3.310661	4.332156	0.339612	0.361956	2.15559
7,648	train	H0	H29	500	500	40	43.4	37.6	-1.661847	1.50839	1.829107	1.82794	3.376204	3.48235	3.398393	-1.661847	1.829107	0.119577	3.341364	2.920862	2.275314	2.837073	2.82948	-1.556552
7,648	train	H1	H29	500	500	40	39.6	40.8	2.683166	-3.115663	-1.4912	-1.494537	17.1521	49.322569	20.356215	2.683166	3.115663	0	2.233641	5.26482	9.74739	0.669761	0.775218	3.214252
7,648	train	H0	H29	1,000	1,000	40	41.6	40.9	-0.884131	1.007794	0.581464	0.581137	1.804963	2.898311	1.57609	0.581137	1.007794	0.301913	0.33772	0.839725	1.015654	0.014792	0.008721	-1.03234
7,648	train	H1	H29	1,000	1,000	40	38.4	40.9	5.196757	-5.845291	-3.441752	-3.45719	45.25802	86.581001	50.960854	5.196757	5.845291	0	11.952161	22.527832	34.343726	0.019078	0.022633	6.052912
7,648	train	H0	H29	20	20	50	50	45	-0.984836	1.040765	0.842261	0.841425	1.183877	1.546875	1.214468	0.841425	1.040765	0.27675	0.707996	0.91437	1.086118	0.21589	0.227482	-1.087649
7,648	train	H1	H29	20	20	50	55	60	1.147572	-1.312628	-0.932158	-0.924575	2.202134	3.29274	2.267229	-0.924575	1.312628	0.162981	0.854838	1.284352	1.744867	0.000173	0.007433	1.395115
7,648	train	H0	H29	30	30	50	66.666667	60	-0.142706	-0.10744	0.267324	0.26638	0.647266	1.637778	0.620044	0.26638	0.267324	0.650855	0.070958	0.000274	0.011541	0.610577	0.555862	0.08978
7,648	train	H1	H29	30	30	50	50	53.333333	1.549575	-1.430914	-1.582595	-1.636426	2.678784	2.864565	2.677947	-1.636426	1.582595	0.11113	2.677891	2.379601	2.065095	1.340777	1.351715	1.593133
7,648	train	H0	H29	50	50	50	50	40	-0.515554	0.252026	1.059591	1.05732	4.796259	6.27162	4.576966	1.05732	1.059591	0.099118	1.117926	0.315995	0.063411	3.718576	3.560325	-0.253332
7,648	train	H1	H29	50	50	50	52	52	0.862967	-1.060235	-0.53755	-0.535817	2.080664	3.92005	2.233272	-0.535817	1.060235	0.267315	0.2871	0.672371	1.117213	0.136976	0.155929	1.109266
7,648	train	H0	H29	75	75	50	44	52	1.95188	-2.041707	-1.626014	-1.628671	4.731358	4.9766	4.633614	1.95188	2.041707	0.033176	2.65257	3.811838	4.179376	0.331933	0.403377	2.129952
7,648	train	H1	H29	75	75	50	46.666667	42.666667	-0.486865	0.37709	0.646818	0.644935	0.595978	0.838153	0.627289	0.644935	0.646818	0.692336	0.415941	0.271233	0.142026	0.783408	0.773676	-0.395687
7,648	train	H0	H29	100	100	50	46	44	-1.283494	1.141906	1.365056	1.386861	1.928245	3.872596	1.956979	-1.283494	1.365056	0.238941	1.923383	1.741188	1.30568	1.701671	1.899579	-1.177638
7,648	train	H1	H29	100	100	50	43	49	2.288958	-2.424243	-1.830762	-1.840096	6.981458	6.851623	6.962079	2.288958	2.424243	0.011371	3.385954	5.123805	5.909762	0.261686	0.36655	2.531097
7,648	train	H0	H29	150	150	50	50	40.666667	-1.519179	1.231571	1.928318	1.932975	5.286852	6.450185	5.436997	1.932975	1.928318	0.065974	3.736392	2.404713	1.51758	5.806361	5.881385	-1.272782
7,648	train	H1	H29	150	150	50	48.666667	53.333333	2.089425	-2.277808	-1.729375	-1.740214	5.688101	8.119948	5.922561	-1.740214	2.277808	0.01725	3.028344	4.22541	5.198108	0.28804	0.277287	2.381337
7,648	train	H0	H29	200	200	50	52.5	57	0.570402	-0.513016	-0.63802	-0.636626	0.448364	0.502428	0.45283	-0.636626	0.63802	0.592571	0.405292	0.326796	0.263062	0.321044	0.336967	0.535114
7,648	train	H1	H29	200	200	50	54.5	48	0.439781	-1.207264	0.594055	0.594734	15.765579	26.457433	17.191386	0.594734	1.207264	0.000008	0.353709	0.162125	1.462095	6.683833	6.888212	1.247579
7,648	train	H0	H29	300	300	50	51.333333	55	1.138204	-0.817327	-1.554858	-1.556102	4.81284	6.091166	4.599697	-1.556102	1.554858	0.100274	2.421452	1.090225	0.668451	4.446184	4.389357	0.861409
7,648	train	H1	H29	300	300	50	48.666667	47.666667	2.924375	-3.646834	-1.677472	-1.687098	24.655944	38.852976	26.691875	2.924375	3.646834	0	2.8463	7.890417	13.409934	0.99788	1.006444	3.813083
7,648	train	H0	H29	500	500	50	50	49.6	0.228026	-0.405017	-0.014579	-0.014567	0.942673	3.978338	0.772383	-0.014567	0.405017	0.263813	0.000212	0.121406	0.164001	0.224056	0.203951	0.418768
7,648	train	H1	H29	500	500	50	48.6	50.4	3.157986	-3.850802	-1.917715	-1.920086	26.703214	31.844755	28.24315	-1.920086	3.850802	0.000001	3.686729	9.481579	14.893576	0.854442	0.825529	4.009918
7,648	train	H0	H29	1,000	1,000	50	49	48	-0.092843	0.216678	-0.077753	-0.077761	0.434856	0.471829	0.421021	-0.077761	0.216678	0.81017	0.006047	0.014786	0.046945	0.152535	0.153814	-0.223758
7,648	train	H1	H29	1,000	1,000	50	51.8	48.8	2.592979	-3.513222	-1.133571	-1.136809	31.349751	48.972682	34.153566	-1.136809	3.513222	0	1.292335	6.074421	12.37738	4.161931	4.168787	3.692949
7,649	train	H0	H01	20	20	0	0	0	0.08115	-0.08115	0.002928	0.00285	0.077898	0.771943	0.031386	0.00285	0.08115	0.856165	0.000008	0.005908	0.006517	0.037117	0.014247	0.082184
7,649	train	H1	H01	20	20	0	0	0	0.0541	-0.0541	0.490506	0.481159	1.127449	1.289061	1.306609	0.481159	0.490506	0.520324	0.231514	0.036567	0.002905	1.00121	1.009657	0.054789
7,649	train	H0	H01	30	30	0	0	0	-0.192198	0.192198	-0.087309	-0.0863	0.597079	2.436888	0.336159	-0.192198	0.192198	0.486805	0.007448	0.02033	0.036711	0.101581	0.043732	-0.193819
7,649	train	H1	H01	30	30	0	0	0	0.975772	-0.975772	-1.313754	-1.326332	2.08865	2.333217	1.983345	-1.326332	1.313754	0.325112	1.759156	1.220296	0.950262	1.808255	1.727576	0.984007
7,649	train	H0	H01	50	50	0	0	0	-0.068938	0.068938	-0.087283	-0.086699	0.215629	1.928261	0.099817	-0.068938	0.087283	0.587429	0.007517	0.001936	0.004735	0.032461	0.008612	-0.069285
7,649	train	H1	H01	50	50	0	0	0	-0.682488	0.682488	1.028055	1.023468	1.225491	1.267938	1.254563	1.023468	1.028055	0.49276	1.047486	0.706418	0.464431	1.387969	1.409213	-0.685926
7,649	train	H0	H01	75	75	0	0	0	0.900215	-0.900215	-0.851268	-0.845096	0.774128	1.296148	0.825084	0.900215	0.900215	0.369618	0.714187	0.794203	0.80981	0.286917	0.258786	0.897189
7,649	train	H1	H01	75	75	0	0	0	-0.227403	0.227403	1.076659	1.084683	3.716224	3.712126	3.615506	1.084683	1.076659	0.164022	1.176537	0.333812	0.051638	3.147583	3.011977	-0.226639
7,649	train	H0	H01	100	100	0	0	0	-0.818535	0.818535	2.054144	2.111405	9.995429	9.753946	10.043261	2.111405	2.054144	0.006594	4.458033	1.885555	0.670618	9.309274	9.178873	-0.820589
7,649	train	H1	H01	100	100	0	0	0	1.236355	-1.236355	-0.841877	-0.837549	1.22778	2.104538	1.771817	1.236355	1.236355	0.215176	0.701489	1.022514	1.533675	0.050588	0.037115	1.239457
7,649	train	H0	H01	150	150	0	0	0	1.10882	-1.10882	-1.132297	-1.129786	1.446914	1.547895	1.341778	-1.129786	1.132297	0.266709	1.276417	1.457055	1.229488	0.697794	0.701324	1.110673
7,649	train	H1	H01	150	150	0	0	0	-0.443262	0.443262	-0.328717	-0.329357	2.896424	3.22934	2.375603	-0.443262	0.443262	0.304891	0.108476	0.050119	0.196384	1.106533	1.031866	-0.444002
7,649	train	H0	H01	200	200	0	0	0	0.619301	-0.619301	-0.817188	-0.816275	0.785999	2.180955	0.701062	-0.816275	0.817188	0.535208	0.666305	0.464961	0.383336	0.604078	0.544114	0.620076
7,649	train	H1	H01	200	200	0	0	0	1.515383	-1.515383	-0.692218	-0.69096	2.426236	7.234481	3.921321	1.515383	1.515383	0.064788	0.477425	1.240988	2.30008	0.099218	0.134745	1.517281
7,649	train	H0	H01	300	300	0	0	0	-1.885462	1.885462	1.576807	1.576498	3.348651	4.813856	3.574397	-1.885462	1.885462	0.059156	2.485346	3.286834	3.558744	0.68585	0.648276	-1.887035
7,649	train	H1	H01	300	300	0	0	0	2.195859	-2.195859	-1.316211	-1.313732	4.938013	4.828573	6.254739	2.195859	2.195859	0.027971	1.725893	3.324562	4.831168	0.010957	0.016364	2.197691
7,649	train	H0	H01	500	500	0	0	0	-0.692194	0.692194	1.030696	1.03208	1.596571	4.898465	1.238744	-0.692194	1.030696	0.179385	1.06519	0.591913	0.479074	1.253204	1.180913	-0.692541
7,649	train	H1	H01	500	500	0	0	0	3.060677	-3.060677	-2.663244	-2.670509	8.660153	8.677157	9.389164	3.060677	3.060677	0.002197	7.131619	8.485412	9.388911	2.529529	2.528	3.062209
7,649	train	H0	H01	1,000	1,000	0	0	0	0.721821	-0.721821	0.09874	0.098729	2.836048	2.823468	2.642756	0.721821	0.721821	0.266767	0.009747	0.208481	0.520982	0.805621	0.765772	0.722002
7,649	train	H1	H01	1,000	1,000	0	0	0	2.102272	-2.102272	-0.158098	-0.158093	11.44038	11.902534	15.61194	2.102272	2.102272	0.000407	0.024993	1.586758	4.424543	3.202551	3.188349	2.102798
7,649	train	H0	H01	20	20	10	5	5	-1.143225	1.141585	1.363744	1.392538	2.183534	6.839067	2.033753	-1.143225	1.363744	0.077208	1.939162	1.513519	1.308701	2.107832	1.930637	-1.173573
7,649	train	H1	H01	20	20	10	0	5	-0.532459	0.529743	0.673794	0.667448	0.514791	1.832792	0.468425	-0.532459	0.673794	0.591585	0.445487	0.329336	0.279698	0.532993	0.445988	-0.536541
7,649	train	H0	H01	30	30	10	13.333333	3.333333	-0.382838	0.368063	0.441304	0.433736	0.190338	0.754578	0.188477	0.433736	0.441304	0.704163	0.188127	0.179305	0.134888	0.188804	0.270239	-0.379707
7,649	train	H1	H01	30	30	10	16.666667	3.333333	1.243085	-1.208294	-1.221249	-1.251127	1.641086	1.667251	1.636379	-1.251127	1.221249	0.213557	1.565319	1.604563	1.469149	0.740437	0.748799	1.243845
7,649	train	H0	H01	50	50	10	6	10	0.445163	-0.482597	0.317532	0.318312	3.295075	3.81766	2.963206	0.445163	0.482597	0.227273	0.101323	0.038072	0.232206	1.377896	1.240168	0.48942
7,649	train	H1	H01	50	50	10	16	14	-0.876164	0.932997	0.620507	0.614568	1.254923	2.318327	0.965155	-0.876164	0.932997	0.348025	0.377693	0.817792	0.87044	0.012923	0.050966	-0.938426
7,649	train	H0	H01	75	75	10	9.333333	9.333333	-0.173472	0.167688	0.09792	0.09767	0.021995	0.489775	0.04856	0.09767	0.167688	0.865663	0.009539	0.013588	0.028059	0.001845	0.001159	-0.169171
7,649	train	H1	H01	75	75	10	9.333333	8	1.120543	-1.11068	-1.340428	-1.347396	1.915317	2.377494	1.859878	1.120543	1.340428	0.265866	1.815475	1.438459	1.233852	1.460798	1.38747	1.112633
7,649	train	H0	H01	100	100	10	12	12	0.853455	-0.886414	-0.604778	-0.603582	0.581468	3.011093	0.867436	0.853455	0.886414	0.370131	0.364311	0.521136	0.785605	0.017255	0.007543	0.896228
7,649	train	H1	H01	100	100	10	6	12	2.563263	-2.578871	-2.078315	-2.083901	6.973945	6.899354	6.830206	2.563263	2.578871	0.009225	4.342642	6.136514	6.68241	1.082994	1.255034	2.603595
7,649	train	H0	H01	150	150	10	9.333333	8	1.050758	-1.021486	-1.317138	-1.324549	1.817741	2.160311	1.846366	-1.324549	1.317138	0.304517	1.754429	1.383101	1.043737	1.58485	1.635814	1.026794
7,649	train	H1	H01	150	150	10	13.333333	12.666667	1.238784	-1.241587	-0.965779	-0.967423	1.094664	11.603144	1.67245	1.238784	1.241587	0.008874	0.935908	0.999479	1.542784	0.151136	0.108627	1.249282
7,649	train	H0	H01	200	200	10	10	11	-0.796897	0.788714	0.89642	0.895849	0.802564	1.006278	0.802735	0.895849	0.89642	0.427429	0.802545	0.759196	0.622286	0.637598	0.607709	-0.7936
7,649	train	H1	H01	200	200	10	7.5	7	1.047531	-1.079303	-0.246526	-0.245975	2.047989	6.331276	3.267697	1.047531	1.079303	0.096559	0.060504	0.443096	1.165167	0.470991	0.538073	1.086493
7,649	train	H0	H01	300	300	10	8	5.666667	-0.995057	1.014237	0.511136	0.510119	1.471358	1.682475	1.610958	-0.995057	1.014237	0.307851	0.260222	0.714201	1.028588	0.020885	0.017811	-1.019742
7,649	train	H1	H01	300	300	10	11.666667	11.666667	1.982361	-2.003157	-1.38686	-1.386652	3.802225	6.881304	4.729658	1.982361	2.003157	0.043304	1.922805	2.95357	4.01927	0.12174	0.105791	2.020769
7,649	train	H0	H01	500	500	10	8.8	10.2	0.948399	-0.950204	-0.685065	-0.684474	1.610868	3.394237	1.023457	-0.684474	0.950204	0.33474	0.468505	0.975654	0.902781	0.043535	0.057693	0.956735
7,649	train	H1	H01	500	500	10	10.4	9.6	2.666988	-2.727655	-1.795987	-1.800085	5.461365	25.265722	8.752608	2.666988	2.727655	0.000014	3.240307	4.77146	7.459324	0.15998	0.123955	2.752135
7,649	train	H0	H01	1,000	1,000	10	8.1	9.5	-0.235753	0.267366	-0.294318	-0.294027	1.223668	1.826273	1.266104	-0.294027	0.294318	0.530969	0.086452	0.005858	0.071474	0.636779	0.662789	-0.268393
7,649	train	H1	H01	1,000	1,000	10	9.2	8.5	3.378012	-3.4277	-1.994341	-1.995526	13.014204	17.795927	16.227683	3.378012	3.4277	0.000299	3.982123	7.967597	11.771579	0.000014	0.000147	3.451055

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