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
6	train	H0	H23	20	20	30	25	25	-0.605362	0.742892	-0.109918	-0.110299	4.192323	5.444983	3.730747	-0.605362	0.742892	0.141967	0.012166	0.226627	0.551904	1.847261	1.545615	-0.79123
6	train	H1	H23	20	20	30	50	45	-0.032511	-0.06808	0.289934	0.280283	0.636481	2.198033	0.515799	0.280283	0.289934	0.532336	0.078558	0.005023	0.000506	0.446976	0.320358	-0.067012
6	train	H0	H23	30	30	30	20	26.666667	0.894072	-0.838046	-1.129366	-1.138194	1.505932	1.574996	1.505203	-1.138194	1.129366	0.387708	1.295486	0.92418	0.670694	1.223505	1.23463	0.863781
6	train	H1	H23	30	30	30	26.666667	36.666667	0.954584	-0.935414	-0.908036	-0.895256	0.953934	1.302689	0.909083	0.954584	0.935414	0.318379	0.801483	0.954306	0.874584	0.217257	0.307937	0.997794
6	train	H0	H23	50	50	30	26	34	0.590448	-0.618893	-0.349273	-0.348006	0.878305	3.627085	0.637322	0.590448	0.618893	0.30465	0.121108	0.341511	0.376388	0.011132	0.002196	0.655441
6	train	H1	H23	50	50	30	34	30	-0.318543	0.384664	0.149363	0.148588	0.296076	0.533755	0.260575	0.148588	0.384664	0.669896	0.022078	0.109728	0.154318	0.014031	0.001234	-0.426291
6	train	H0	H23	75	75	30	29.333333	42.666667	1.224834	-1.121152	-1.555327	-1.547099	2.750069	2.837732	2.719581	1.224834	1.555327	0.224786	2.393516	1.683663	1.230864	2.368482	2.263476	1.213901
6	train	H1	H23	75	75	30	24	33.333333	-0.256454	0.432962	-0.471818	-0.470484	3.284936	3.326944	3.181975	-0.256454	0.471818	0.203724	0.221356	0.011179	0.191563	1.732102	1.608993	-0.452486
6	train	H0	H23	100	100	30	29	30	1.370623	-1.44967	-1.025412	-1.02214	2.081704	2.399714	2.239053	1.370623	1.44967	0.126482	1.044771	1.654511	2.077657	0.076641	0.086616	1.528122
6	train	H1	H23	100	100	30	24	28	-0.11739	0.167409	-0.142524	-0.141705	0.35223	0.557459	0.424904	-0.141705	0.167409	0.808599	0.02008	0.00116	0.02939	0.158734	0.153417	-0.175748
6	train	H0	H23	150	150	30	31.333333	22.666667	-0.866281	0.905036	0.784914	0.78345	0.615162	8.481575	0.75122	0.78345	0.905036	0.03704	0.613794	0.602594	0.826905	0.226922	0.169265	-0.963952
6	train	H1	H23	150	150	30	34.666667	34	-1.343143	1.509896	0.710258	0.708987	3.675203	6.072352	4.207265	0.708987	1.509896	0.108143	0.502662	1.365662	2.292858	0.216415	0.253752	-1.589428
6	train	H0	H23	200	200	30	32	30.5	-0.354702	0.281288	0.368405	0.367546	0.221143	5.894233	0.136449	0.367546	0.368405	0.116871	0.13509	0.174861	0.081729	0.082296	0.151701	-0.303841
6	train	H1	H23	200	200	30	30	28.5	0.762094	-0.694463	-1.13917	-1.14619	2.107646	2.715896	1.90912	0.762094	1.13917	0.384981	1.313752	0.683871	0.475673	1.83848	1.800416	0.728691
6	train	H0	H23	300	300	30	30.333333	33.333333	0.669582	-0.705073	-0.660136	-0.659927	0.435697	2.20052	0.459993	-0.659927	0.705073	0.457068	0.435504	0.388515	0.492885	0.204735	0.175447	0.743684
6	train	H1	H23	300	300	30	32.666667	29	-0.615972	0.739788	-0.096689	-0.096567	3.008017	2.955481	2.998121	-0.096567	0.739788	0.22334	0.009325	0.21334	0.555294	1.027585	0.972713	-0.79315
6	train	H0	H23	500	500	30	29.4	28.8	-0.486662	0.50558	0.273099	0.272575	0.480332	0.577924	0.414278	-0.486662	0.50558	0.592622	0.074297	0.21211	0.257929	0.004474	0.001901	-0.53504
6	train	H1	H23	500	500	30	31	26.8	1.10842	-1.20522	-0.451107	-0.451568	3.77886	4.371628	3.312392	-0.451568	1.20522	0.190864	0.203913	0.999482	1.446036	0.27965	0.264052	1.26417
6	train	H0	H23	1,000	1,000	30	30.2	27.3	-1.864971	1.624987	2.564348	2.570629	7.479884	11.628077	8.082194	2.570629	2.564348	0.008772	6.608134	4.514953	2.647747	7.960278	8.178757	-1.712735
6	train	H1	H23	1,000	1,000	30	31.9	31.4	-0.334692	0.640262	-1.038047	-1.041942	11.837439	12.108783	12.521492	-1.041942	1.038047	0.00191	1.085643	0.000531	0.413338	7.42217	7.383661	-0.683568
6	train	H0	H23	20	20	40	45	35	-0.246001	-0.017695	0.65915	0.662252	1.919229	2.523071	2.017439	-0.246001	0.65915	0.364686	0.438577	0.089217	0	1.879373	1.862675	0.018038
6	train	H1	H23	20	20	40	40	35	0.188069	-0.268797	-0.081924	-0.081781	0.12696	0.136406	0.132718	-0.081781	0.268797	0.809291	0.006688	0.024231	0.045685	0.069646	0.067804	0.241341
6	train	H0	H23	30	30	40	40	10	-1.956745	1.828497	2.307751	2.318645	5.597183	5.652866	5.62646	-1.956745	2.307751	0.047429	5.376116	4.479171	3.392166	5.663906	5.862111	-1.982452
6	train	H1	H23	30	30	40	50	30	-1.22452	1.171875	1.241772	1.228765	1.521552	2.630877	1.538042	1.228765	1.241772	0.192417	1.509863	1.421003	1.410326	1.188416	1.124742	-1.303464
6	train	H0	H23	50	50	40	28	40	1.22572	-1.154812	-1.339269	-1.325292	1.756542	2.244211	1.75755	-1.325292	1.339269	0.220937	1.756399	1.557391	1.32805	1.150751	1.348246	1.224041
6	train	H1	H23	50	50	40	34	36	-1.325874	1.35605	1.132586	1.129884	1.827007	1.876252	1.858375	1.129884	1.35605	0.140451	1.276638	1.698085	1.890058	0.295658	0.321471	-1.474113
6	train	H0	H23	75	75	40	48	30.666667	-0.301387	0.133457	0.776155	0.771187	1.788925	1.702422	1.864499	0.771187	0.776155	0.393667	0.594729	0.164648	0.021223	1.754419	1.670778	-0.161527
6	train	H1	H23	75	75	40	29.333333	28	-0.462697	0.454515	0.729855	0.729036	1.256686	7.208349	0.836004	0.729036	0.729855	0.065545	0.531494	0.201859	0.218982	0.791916	0.637848	-0.500854
6	train	H0	H23	100	100	40	37	49	0.045552	0.009988	-0.114518	-0.11467	0.025709	1.131419	0.052422	0.045552	0.114518	0.769495	0.013149	0.006974	0.000399	0.020791	0.028607	-0.024304
6	train	H1	H23	100	100	40	37	51	0.908339	-0.724675	-1.317119	-1.324055	2.947954	3.373234	2.816163	-1.324055	1.317119	0.244612	1.753121	0.877612	0.500304	2.599982	2.509157	0.787775
6	train	H0	H23	150	150	40	34.666667	40.666667	1.762688	-1.580456	-2.252937	-2.319643	7.59659	10.306806	7.228889	-2.319643	2.252937	0.01613	5.380742	3.458244	2.490173	7.0393	6.958168	1.659945
6	train	H1	H23	150	150	40	40	37.333333	0.487522	-0.374402	-0.820843	-0.825501	1.154548	2.20996	1.29791	-0.825501	0.820843	0.522592	0.681452	0.338934	0.128376	1.203504	1.258845	0.386827
6	train	H0	H23	200	200	40	37	41	0.009598	0.085152	-0.343994	-0.343087	0.880071	1.005325	0.884514	0.009598	0.343994	0.642584	0.117709	0.003826	0.008222	0.553205	0.607754	-0.096782
6	train	H1	H23	200	200	40	37	40.5	-0.02154	0.105312	-0.082363	-0.082127	0.027027	0.888653	0.077281	-0.02154	0.105312	0.828165	0.006745	0.000303	0.012844	0.029914	0.036264	-0.12533
6	train	H0	H23	300	300	40	41.666667	44.666667	-0.177644	0.117292	-0.0336	-0.033497	0.553739	1.889718	0.321755	-0.033497	0.117292	0.595608	0.001122	0.030017	0.015271	0.108022	0.076824	-0.135534
6	train	H1	H23	300	300	40	40.666667	39.666667	-1.03249	1.285809	0.362274	0.361985	3.090162	6.072683	3.862607	0.361985	1.285809	0.108127	0.131033	0.799752	1.6707	0.586479	0.610903	-1.39518
6	train	H0	H23	500	500	40	39.4	39	-2.224378	2.069625	2.525971	2.545231	6.655961	6.675831	6.637275	2.545231	2.525971	0.024669	6.4782	5.279313	4.304788	5.609111	5.640392	-2.246552
6	train	H1	H23	500	500	40	42.8	39.2	-0.244687	0.194143	0.263327	0.263255	0.088284	3.260005	0.069343	0.263255	0.263327	0.353248	0.069303	0.068425	0.039349	0.046927	0.077105	-0.216056
6	train	H0	H23	1,000	1,000	40	39.2	39.5	0.397941	-0.223	-0.827832	-0.827663	1.546661	1.659887	1.715008	-0.827663	0.827832	0.42422	0.685026	0.258256	0.048435	1.519629	1.51634	0.238769
6	train	H1	H23	1,000	1,000	40	36.8	39.8	0.703173	-0.374128	-1.800683	-1.80394	10.275038	10.344595	10.377973	-1.80394	1.800683	0.005578	3.254198	0.849635	0.137844	8.787993	8.767183	0.402554
6	train	H0	H23	20	20	50	45	60	-0.067332	0.046358	0.153573	0.151969	0.106572	0.981482	0.075856	0.151969	0.153573	0.805733	0.023095	0.00865	0.008602	0.185211	0.141635	-0.131215
6	train	H1	H23	20	20	50	60	60	0.944734	-1.348881	-0.618025	-0.6161	2.514456	2.635193	2.465244	0.944734	1.348881	0.143201	0.379579	1.107599	1.521607	0.082361	0.028075	1.463973
6	train	H0	H23	30	30	50	53.333333	46.666667	0.19689	-0.177644	-0.274273	-0.273437	0.160871	1.447372	0.133133	-0.273437	0.274273	0.694469	0.074768	0.02895	0.024494	0.152449	0.069868	0.184284
6	train	H1	H23	30	30	50	63.333333	46.666667	-0.478679	0.349877	0.601762	0.597222	0.538621	0.763737	0.552747	0.597222	0.601762	0.681065	0.356674	0.242314	0.136723	0.893616	0.906305	-0.411011
6	train	H0	H23	50	50	50	40	52	-0.135759	0.121356	-0.108643	-0.10821	0.558516	0.715231	0.511397	-0.135759	0.121356	0.774375	0.011709	0.00515	0.02001	0.175797	0.147412	-0.151133
6	train	H1	H23	50	50	50	36	58	0.748054	-0.736667	-0.633891	-0.641625	0.697661	2.238442	0.624942	0.748054	0.736667	0.42322	0.411683	0.545063	0.513327	0.056787	0.067605	0.800847
6	train	H0	H23	75	75	50	45.333333	48	-1.085691	1.015876	0.73156	0.731825	2.09067	4.490694	1.680489	-1.085691	1.015876	0.213122	0.535568	1.113608	1.133287	0.000059	0.010874	-1.235757
6	train	H1	H23	75	75	50	49.333333	41.333333	-0.028865	0.12443	-0.262316	-0.261187	0.853148	0.969601	0.80086	-0.261187	0.262316	0.670032	0.068219	0.000021	0.02186	0.411587	0.34053	-0.154335
6	train	H0	H23	100	100	50	51	39	-0.642246	0.478542	1.152692	1.144253	3.05723	4.21467	2.740616	1.144253	1.152692	0.239197	1.309315	0.482418	0.244181	2.855267	2.584043	-0.558833
6	train	H1	H23	100	100	50	55	45	-1.821171	2.100021	1.096318	1.092076	6.10155	6.887639	6.545872	-1.821171	2.100021	0.015054	1.19263	3.137133	4.533136	0.276723	0.246759	-2.431067
6	train	H0	H23	150	150	50	53.333333	42	-1.671918	1.592447	1.785986	1.779826	3.167796	3.173901	3.167781	-1.671918	1.785986	0.067928	3.167781	2.927314	2.587434	2.362913	2.407073	-1.825482
6	train	H1	H23	150	150	50	50.666667	48.666667	-0.222939	0.451822	-0.222934	-0.223028	1.911436	2.269225	2.01211	-0.223028	0.451822	0.365659	0.049741	0.041411	0.212703	0.858834	0.879133	-0.500847
6	train	H0	H23	200	200	50	54.5	53	0.961391	-1.015774	-0.650493	-0.649989	2.018426	3.000871	1.78989	0.961391	1.015774	0.265981	0.422486	0.953531	1.009089	0.01831	0.004002	1.112365
6	train	H1	H23	200	200	50	51.5	52.5	0.734533	-0.862678	-0.555948	-0.555514	0.578186	4.284519	0.769205	0.734533	0.862678	0.232335	0.308596	0.463616	0.718656	0.012799	0.001615	0.954418
6	train	H0	H23	300	300	50	53.666667	52.666667	-0.21294	-0.025397	0.62867	0.628181	1.985575	2.204479	2.033131	0.628181	0.62867	0.361836	0.394611	0.051141	0.000185	1.5796	1.588544	0.013295
6	train	H1	H23	300	300	50	48.333333	52	-0.815167	1.089293	0.194263	0.194145	3.550256	6.570865	4.024305	0.194145	1.089293	0.086909	0.037692	0.510057	1.205969	0.923384	0.974788	-1.233488
6	train	H0	H23	500	500	50	47.2	52.8	0.624589	-0.571181	-0.751622	-0.75093	0.665434	0.929978	0.639213	-0.75093	0.751622	0.52797	0.563895	0.399353	0.319486	0.567889	0.551062	0.631108
6	train	H1	H23	500	500	50	50.4	51.8	-0.707522	0.820399	0.382216	0.382461	1.475456	1.713332	1.390391	0.382461	0.820399	0.355431	0.146276	0.489652	0.686377	0.089774	0.076971	-0.924107
6	train	H0	H23	1,000	1,000	50	50.9	48.7	-1.964802	1.814389	1.870258	1.87173	4.160551	6.883923	3.865329	-1.964802	1.870258	0.043055	3.503375	4.004663	3.311221	1.39303	1.529067	-2.023174
6	train	H1	H23	1,000	1,000	50	49	50.8	0.439701	-0.051949	-1.315047	-1.317914	8.594925	9.009832	8.270855	-1.317914	1.315047	0.015996	1.736896	0.232354	0.002162	6.401328	6.209573	0.051683
6	train	H0	H24	20	20	0	0	0	-0.568052	0.568052	0.330512	0.324209	0.717731	1.741649	0.462012	-0.568052	0.568052	0.565096	0.105111	0.303898	0.321722	0.000081	0.016349	-0.575288
6	train	H1	H24	20	20	0	0	0	0.784453	-0.784453	-1.51944	-1.58234	5.001149	5.21665	5.227767	-1.58234	1.51944	0.07325	2.5038	1.357357	0.616569	4.586002	4.570813	0.794446
6	train	H0	H24	30	30	0	0	0	-0.517455	0.517455	0.686682	0.680716	0.626928	2.495786	0.499056	0.680716	0.686682	0.476053	0.463374	0.281095	0.266145	0.578451	0.474068	-0.521822
6	train	H1	H24	30	30	0	0	0	-0.413964	0.413964	0.227864	0.226208	0.064602	5.997043	0.261626	0.226208	0.413964	0.111754	0.05117	0.063004	0.170871	0.000495	0.021334	-0.417457
6	train	H0	H24	50	50	0	0	0	2.171553	-2.171553	-2.305268	-2.371346	5.665233	5.807053	5.65157	-2.371346	2.305268	0.029073	5.62328	5.468134	4.771236	3.846884	3.864902	2.182493
6	train	H1	H24	50	50	0	0	0	0.413629	-0.413629	-0.258014	-0.254595	0.348667	0.852539	0.218095	0.413629	0.413629	0.67762	0.064819	0.170564	0.170711	0.0004	0.002398	0.415713
6	train	H0	H24	75	75	0	0	0	2.399948	-2.399948	-3.155231	-3.341764	12.916097	12.818415	13.165667	-3.341764	3.155231	0.001384	11.167384	8.32542	5.832468	12.749002	12.760277	2.391881
6	train	H1	H24	75	75	0	0	0	-0.813765	0.813765	0.759131	0.752961	0.583834	1.102696	0.669452	-0.813765	0.813765	0.417349	0.56695	0.563375	0.661531	0.271245	0.24033	-0.811029
6	train	H0	H24	100	100	0	0	0	0.974912	-0.974912	-0.871232	-0.867873	0.885863	1.662343	0.951864	0.974912	0.974912	0.328392	0.753204	0.914127	0.950469	0.266545	0.238346	0.977359
6	train	H1	H24	100	100	0	0	0	-0.725686	0.725686	0.275029	0.273951	0.579653	4.423953	1.069177	-0.725686	0.725686	0.219175	0.075049	0.2515	0.526043	0.062976	0.10345	-0.727508
6	train	H0	H24	150	150	0	0	0	-0.067887	0.067887	-0.502417	-0.501768	1.561116	1.875893	1.32075	-0.501768	0.502417	0.516658	0.251771	0.013087	0.004604	0.875654	0.801583	-0.068
6	train	H1	H24	150	150	0	0	0	-0.833279	0.833279	1.032484	1.039735	1.62086	6.168911	1.108436	1.039735	1.032484	0.103675	1.081049	0.567605	0.694999	0.926562	0.826488	-0.834671
6	train	H0	H24	200	200	0	0	0	0.064871	-0.064871	0.529365	0.527557	0.967288	1.264472	1.395194	0.064871	0.529365	0.49778	0.278317	0.050833	0.004206	1.000893	1.001022	0.064952
6	train	H1	H24	200	200	0	0	0	0.065736	-0.065736	-0.265795	-0.264906	0.070208	1.648019	0.180616	0.065736	0.265795	0.648551	0.070175	0.056324	0.004318	0.143245	0.180309	0.065818
6	train	H0	H24	300	300	0	0	0	0.375397	-0.375397	-0.672276	-0.670556	0.511154	0.463528	0.622105	-0.670556	0.672276	0.707133	0.449646	0.319095	0.140911	0.611359	0.595409	0.37571
6	train	H1	H24	300	300	0	0	0	0.337716	-0.337716	-0.271985	-0.27236	0.706654	7.402596	0.115985	-0.27236	0.337716	0.060115	0.07418	0.24785	0.114031	0.018526	0.037477	0.337998
6	train	H0	H24	500	500	0	0	0	-0.178468	0.178468	-0.324785	-0.324306	0.759059	1.720046	0.958969	-0.178468	0.324785	0.619103	0.105174	0.000307	0.031842	0.546081	0.580733	-0.178558
6	train	H1	H24	500	500	0	0	0	-0.162045	0.162045	0.689124	0.691752	2.775522	6.692985	1.285301	-0.162045	0.689124	0.082355	0.47852	0.025417	0.02627	1.035797	0.966826	-0.162126
6	train	H0	H24	1,000	1,000	0	0	0	-1.237109	1.237109	0.896382	0.895636	1.302868	1.446536	1.65607	-1.237109	1.237109	0.215932	0.802165	1.183115	1.530554	0.099024	0.106568	-1.237418
6	train	H1	H24	1,000	1,000	0	0	0	-1.23223	1.23223	1.544046	1.549312	3.438981	8.696835	2.455092	-1.23223	1.544046	0.033605	2.400367	1.271001	1.519297	2.055433	1.98931	-1.232538
6	train	H0	H24	20	20	10	10	5	0.536744	-0.557014	0.225913	0.224492	2.866839	4.150371	3.196534	0.536744	0.557014	0.202247	0.050397	0.046275	0.310549	1.109155	1.095411	0.564154
6	train	H1	H24	20	20	10	10	20	-1.371346	1.423183	0.671107	0.671531	4.036602	3.961456	4.040831	-1.371346	1.423183	0.1326	0.450953	1.360971	2.068329	0.349369	0.240884	-1.445756
6	train	H0	H24	30	30	10	10	10	-0.886183	0.92353	-0.089495	-0.089388	4.305999	6.793443	5.121684	-0.886183	0.92353	0.07724	0.00799	0.218174	0.85814	1.681956	1.754563	-0.920921
6	train	H1	H24	30	30	10	6.666667	3.333333	-0.424916	0.410131	0.771835	0.764974	1.216369	3.636865	0.940656	-0.424916	0.771835	0.30344	0.585186	0.247455	0.167238	1.102745	0.916339	-0.418658
6	train	H0	H24	50	50	10	14	8	0.100972	-0.119807	0.227709	0.224887	0.415177	0.358975	0.506703	0.100972	0.227709	0.776195	0.050574	0.002096	0.012643	0.329382	0.308043	0.112643
6	train	H1	H24	50	50	10	10	14	1.760598	-1.774028	-1.20118	-1.196671	3.856003	3.717448	3.893097	1.760598	1.774028	0.07249	1.432022	2.537802	3.15933	0.082142	0.145173	1.796027
6	train	H0	H24	75	75	10	16	9.333333	-0.065415	0.061854	0.249614	0.248084	0.209747	0.254687	0.19639	-0.065415	0.249614	0.906472	0.061546	0.018199	0.003816	0.199334	0.182196	-0.066291
6	train	H1	H24	75	75	10	9.333333	6.666667	-1.411807	1.422977	0.950445	0.944957	2.365296	2.313106	2.47936	-1.411807	1.422977	0.15467	0.892943	1.599337	2.026912	0.022267	0.032894	-1.423227
6	train	H0	H24	100	100	10	9	12	1.059823	-1.027153	-1.499279	-1.513256	3.160557	4.428743	2.883842	-1.513256	1.499279	0.218735	2.289942	1.434117	1.054608	2.775717	2.72752	1.02489
6	train	H1	H24	100	100	10	7	10	-0.615448	0.625134	0.295487	0.295182	0.466127	2.343443	0.714534	0.295182	0.625134	0.50425	0.087132	0.202549	0.390421	0.012663	0.019496	-0.629411
6	train	H0	H24	150	150	10	11.333333	10	0.043859	-0.036173	-0.128567	-0.128183	0.065633	0.125334	0.041931	0.043859	0.128567	0.971382	0.016431	0.002509	0.001307	0.024237	0.022189	0.035874
6	train	H1	H24	150	150	10	12.666667	8.666667	-1.78905	1.781616	1.855367	1.86598	3.509095	3.90289	3.548469	1.86598	1.855367	0.071318	3.48188	3.331124	3.175512	2.198714	2.154617	-1.803447
6	train	H0	H24	200	200	10	11.5	9.5	0.418722	-0.406125	-0.574527	-0.574625	0.366602	0.377635	0.378208	0.418722	0.574527	0.682586	0.330193	0.243615	0.164812	0.33604	0.339334	0.408937
6	train	H1	H24	200	200	10	9.5	10.5	-0.17816	0.216552	-0.161494	-0.160847	0.193088	2.979571	0.515094	-0.17816	0.216552	0.394786	0.025872	0.000002	0.046863	0.228759	0.296746	-0.218295
6	train	H0	H24	300	300	10	12.333333	12.333333	2.429403	-2.472112	-1.528279	-1.528784	7.72635	8.15544	8.163656	2.429403	2.472112	0.012525	2.33718	4.624445	6.128522	0.023119	0.029976	2.496991
6	train	H1	H24	300	300	10	12.333333	9.333333	0.861097	-0.869724	-0.707256	-0.708246	1.391535	5.036162	0.761931	-0.708246	0.869724	0.169168	0.501612	0.995761	0.757463	0.146035	0.169591	0.876371
6	train	H0	H24	500	500	10	9.6	7.8	-1.0692	1.069895	0.844731	0.843922	1.409154	2.484676	1.198788	-1.0692	1.069895	0.281335	0.712205	1.115202	1.144421	0.142322	0.169628	-1.077324
6	train	H1	H24	500	500	10	10.8	9.4	0.960502	-0.968061	-0.867091	-0.867035	1.441305	2.660437	0.923748	0.960502	0.968061	0.329306	0.751749	1.287681	0.938019	0.329097	0.326691	0.975513
6	train	H0	H24	1,000	1,000	10	10.1	11.8	0.250228	-0.246511	-0.28748	-0.287258	0.082526	0.091719	0.082734	0.250228	0.28748	0.803688	0.082517	0.076563	0.060755	0.058019	0.057367	0.248576
6	train	H1	H24	1,000	1,000	10	8.9	9.2	0.560453	-0.543449	-0.70172	-0.703672	1.008484	12.138511	0.516636	-0.703672	0.70172	0.006923	0.495154	0.870985	0.295614	0.535035	0.55356	0.547439

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.