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
7,647	train	H0	H02	20	20	50	55	60	-0.208159	0.509341	-0.203633	-0.197345	1.811291	1.851743	1.836629	-0.197345	0.509341	0.399191	0.038945	0.06581	0.280042	0.660151	0.522416	-0.561738
7,647	train	H1	H02	20	20	50	45	40	1.233902	-1.505464	-0.891519	-0.896202	1.877854	6.706127	2.224154	1.233902	1.505464	0.081878	0.803178	1.482055	2.301298	0.000389	0.009834	1.633107
7,647	train	H0	H02	30	30	50	46.666667	53.333333	-1.350697	1.362208	0.970017	1.012152	2.996297	3.596134	2.854695	-1.350697	1.362208	0.120821	1.024452	1.771662	1.93528	0.001872	0.005963	-1.551337
7,647	train	H1	H02	30	30	50	46.666667	56.666667	1.491176	-1.562285	-1.163685	-1.158967	3.122972	3.898049	2.979552	1.491176	1.562285	0.08855	1.343205	2.145476	2.337959	0.057288	0.098157	1.703096
7,647	train	H0	H02	50	50	50	40	48	-0.274015	0.35031	-0.262347	-0.258781	2.136743	2.31431	1.983433	-0.258781	0.35031	0.370939	0.066968	0.033301	0.122758	0.9525	0.809987	-0.389726
7,647	train	H1	H02	50	50	50	64	48	-0.296896	-0.183243	0.587317	0.578026	0.659345	2.977449	0.858692	-0.296896	0.587317	0.395115	0.334114	0.054868	0.029282	1.136608	1.384893	0.195312
7,647	train	H0	H02	75	75	50	49.333333	57.333333	0.637289	-0.318551	-0.726136	-0.7161	0.512859	0.983699	0.527194	0.637289	0.726136	0.727463	0.512799	0.342895	0.097671	0.346324	0.399405	0.348502
7,647	train	H1	H02	75	75	50	50.666667	52	0.891128	-1.316113	-0.240876	-0.237774	2.6695	2.742441	2.934014	0.891128	1.316113	0.137737	0.056537	0.808414	1.716066	0.713823	0.63923	1.48427
7,647	train	H0	H02	100	100	50	53	47	-0.16055	0.335841	0.055179	0.054952	0.107396	0.099502	0.10771	0.054952	0.335841	0.710264	0.00302	0.035546	0.112583	0.003888	0.001581	-0.371501
7,647	train	H1	H02	100	100	50	53	35	-0.485874	0.184335	0.64874	0.649407	0.436969	3.445608	0.533632	-0.485874	0.64874	0.327885	0.42173	0.268737	0.034065	0.61358	0.758141	-0.209008
7,647	train	H0	H02	150	150	50	50.666667	53.333333	0.234967	0.198292	-0.816556	-0.824302	4.31955	4.278339	4.378983	-0.824302	0.816556	0.111974	0.679473	0.042956	0.040449	2.950266	2.881603	-0.217956
7,647	train	H1	H02	150	150	50	41.333333	54	3.563736	-3.829285	-3.211869	-3.228584	12.192882	16.656452	12.850881	3.563736	3.829285	0.000017	10.423751	12.873594	14.691942	3.404125	3.251417	4.298588
7,647	train	H0	H02	200	200	50	45.5	46	1.293588	-1.474846	-1.132253	-1.13383	1.447916	7.17258	1.733686	1.293588	1.474846	0.066596	1.285571	1.596423	2.171825	0.292909	0.215855	1.606878
7,647	train	H1	H02	200	200	50	41	52	3.21647	-3.560817	-2.786136	-2.783954	10.124373	10.411078	10.628106	-2.783954	3.560817	0.00009	7.750398	10.668373	12.700028	1.862316	1.995455	3.915578
7,647	train	H0	H02	300	300	50	53	53.666667	0.965323	-1.042379	-0.98741	-0.985521	0.97171	1.440961	0.983027	-0.985521	1.042379	0.250653	0.971251	0.966562	1.086965	0.475351	0.457684	1.148764
7,647	train	H1	H02	300	300	50	48.666667	47.666667	1.573354	-2.172538	-1.093116	-1.092575	2.631595	5.676068	3.53269	-1.092575	2.172538	0.015683	1.193721	2.532797	4.726017	0.001667	0.000005	2.4162
7,647	train	H0	H02	500	500	50	52.2	50.4	-0.843484	1.200557	0.228608	0.228587	3.2759	4.007486	3.573559	0.228587	1.200557	0.167499	0.052252	0.738353	1.440851	0.795141	0.795435	-1.312749
7,647	train	H1	H02	500	500	50	48.2	47.4	3.267135	-4.177824	-2.266194	-2.280172	11.670683	21.956538	14.964647	3.267135	4.177824	0.000003	5.199187	10.620204	17.565462	0.053908	0.048446	4.676504
7,647	train	H0	H02	1,000	1,000	50	47.3	46.8	-0.548539	0.323711	0.997149	0.997245	2.070901	2.13912	2.010996	0.997245	0.997149	0.365862	0.994499	0.33148	0.104949	2.021607	2.047449	-0.354611
7,647	train	H1	H02	1,000	1,000	50	47	48.1	5.1229	-6.493293	-2.977776	-2.991056	39.384636	68.401086	48.345406	5.1229	6.493293	0	8.946415	25.207753	42.44675	0.620838	0.656198	7.264751
7,647	train	H0	H03	20	20	0	0	0	-0.459852	0.459852	0.322482	0.314084	0.154825	1.411331	0.246758	-0.459852	0.459852	0.641423	0.098649	0.134744	0.2098	0.01485	0.00291	-0.46571
7,647	train	H1	H03	20	20	0	0	0	0.703302	-0.703302	-0.824092	-0.81571	0.698192	2.183184	0.6686	0.703302	0.824092	0.476303	0.665383	0.544843	0.492711	0.409984	0.326989	0.712262
7,647	train	H0	H03	30	30	0	0	0	-0.13306	0.13306	0.640309	0.635085	1.282441	1.316693	1.259132	-0.13306	0.640309	0.532823	0.403332	0.119451	0.017624	1.217663	1.123649	-0.134183
7,647	train	H1	H03	30	30	0	0	0	-1.182754	1.182754	0.526175	0.522899	1.967978	5.607567	2.612333	-1.182754	1.182754	0.132345	0.273423	0.814095	1.405435	0.148514	0.225455	-1.192735
7,647	train	H0	H03	50	50	0	0	0	0.565293	-0.565293	-0.577827	-0.578626	0.342703	0.870547	0.348344	0.565293	0.577827	0.569939	0.334809	0.313599	0.31943	0.201169	0.267946	0.568141
7,647	train	H1	H03	50	50	0	0	0	-1.006498	1.006498	0.744123	0.737752	1.285045	1.798412	1.097972	0.737752	1.006498	0.311745	0.544278	0.920645	1.011375	0.065672	0.126584	-1.011568
7,647	train	H0	H03	75	75	0	0	0	-1.719618	1.719618	1.580541	1.57955	2.900176	3.153243	2.989193	-1.719618	1.719618	0.086559	2.494978	2.901771	2.965476	1.017631	1.025644	-1.713838
7,647	train	H1	H03	75	75	0	0	0	-0.825041	0.825041	0.326078	0.322846	0.720438	3.016164	1.329485	0.322846	0.825041	0.38914	0.104229	0.312245	0.680555	0.065817	0.102447	-0.822268
7,647	train	H0	H03	100	100	0	0	0	1.436713	-1.436713	-1.759746	-1.786543	3.678151	10.960138	3.291008	1.436713	1.759746	0.011943	3.191735	2.299482	2.06625	2.80146	2.628067	1.440318
7,647	train	H1	H03	100	100	0	0	0	-0.15149	0.15149	0.306626	0.304944	0.312324	0.767788	0.147457	0.304944	0.306626	0.857155	0.092991	0.016334	0.022926	0.158301	0.129402	-0.15187
7,647	train	H0	H03	150	150	0	0	0	0.658903	-0.658903	-0.14723	-0.14665	1.461519	1.59749	1.181232	-0.14665	0.658903	0.509251	0.021506	0.277608	0.433782	0.174507	0.146582	0.660004
7,647	train	H1	H03	150	150	0	0	0	0.093178	-0.093178	0.236491	0.236181	0.868921	1.486674	0.428352	0.093178	0.236491	0.685349	0.055782	0.006474	0.008682	0.251533	0.217379	0.093334
7,647	train	H0	H03	200	200	0	0	0	-0.292351	0.292351	0.665879	0.664705	0.636445	1.874265	0.779292	-0.292351	0.665879	0.598909	0.441833	0.222863	0.085411	0.780777	0.870745	-0.292718
7,647	train	H1	H03	200	200	0	0	0	-1.854442	1.854442	2.737042	2.809052	11.333043	17.011651	9.866885	2.809052	2.737042	0.000703	7.890771	4.642222	3.443867	9.896248	9.701881	-1.856764
7,647	train	H0	H03	300	300	0	0	0	0.746554	-0.746554	-0.794819	-0.792695	0.628386	0.900634	0.642219	0.746554	0.794819	0.454957	0.628365	0.575364	0.557178	0.374697	0.353566	0.747177
7,647	train	H1	H03	300	300	0	0	0	-0.715939	0.715939	-0.228329	-0.228759	1.07538	14.822334	3.517726	-0.228759	0.715939	0.001975	0.052331	0.018027	0.51324	1.353063	1.5211	-0.716536
7,647	train	H0	H03	500	500	0	0	0	0.374455	-0.374455	-0.113059	-0.11288	0.163618	0.311188	0.321494	0.374455	0.374455	0.707926	0.012742	0.054083	0.140193	0.034424	0.040487	0.374642
7,647	train	H1	H03	500	500	0	0	0	-3.834551	3.834551	2.59582	2.608966	11.614893	32.76324	17.033325	-3.834551	3.834551	0	6.806705	10.202533	14.773678	0.296732	0.254677	-3.83647
7,647	train	H0	H03	1,000	1,000	0	0	0	-0.489268	0.489268	-0.067542	-0.067493	1.353016	1.389674	1.211836	-0.067493	0.489268	0.545573	0.004555	0.106892	0.239356	0.369791	0.349258	-0.48939
7,647	train	H1	H03	1,000	1,000	0	0	0	-2.288981	2.288981	0.808133	0.809056	4.790123	21.136442	10.885366	-2.288981	2.288981	0.000099	0.654572	2.068444	5.251232	0.954208	1.027674	-2.289553
7,647	train	H0	H03	20	20	10	15	10	-1.125711	1.1315	1.000574	0.993358	1.305882	1.447179	1.267647	0.993358	1.1315	0.248464	0.98676	1.240248	1.277702	0.393046	0.491162	-1.154088
7,647	train	H1	H03	20	20	10	15	15	0.263553	-0.308015	0.26594	0.267693	2.143712	2.999338	1.928677	0.263553	0.308015	0.381235	0.071659	0.009406	0.094292	1.04991	0.893865	0.301359
7,647	train	H0	H03	30	30	10	13.333333	20	-0.022179	0.014924	-0.640666	-0.642914	2.390122	7.200243	3.068471	-0.642914	0.640666	0.065782	0.413339	0.119458	0.000223	1.848463	2.004078	0.00212
7,647	train	H1	H03	30	30	10	16.666667	6.666667	-1.829359	1.808689	1.547899	1.535226	3.026858	7.02166	3.487053	-1.829359	1.808689	0.067666	2.356917	2.722797	3.303435	0.550842	0.414706	-1.827224
7,647	train	H0	H03	50	50	10	10	6	-0.387057	0.382714	0.832196	0.830742	1.731311	3.332967	1.354529	0.830742	0.832196	0.343081	0.690132	0.240801	0.146269	1.269773	1.106485	-0.39565
7,647	train	H1	H03	50	50	10	12	12	-1.161256	1.133956	1.369161	1.386337	2.021764	2.707426	1.974045	-1.161256	1.369161	0.247101	1.92193	1.534997	1.28771	1.914682	1.847294	-1.15742
7,647	train	H0	H03	75	75	10	8	9.333333	0.810641	-0.810891	-0.746841	-0.7412	0.594208	1.550621	0.657932	0.810641	0.810891	0.416811	0.549377	0.592346	0.656534	0.180272	0.138189	0.811966
7,647	train	H1	H03	75	75	10	9.333333	9.333333	-0.650586	0.627561	1.007708	1.013254	1.802884	6.757086	1.425248	-0.650586	1.007708	0.080057	1.026684	0.526184	0.393278	1.535747	1.412941	-0.629884
7,647	train	H0	H03	100	100	10	15	6	-2.086594	2.05214	2.755253	2.803806	9.179629	9.631924	9.049961	-2.086594	2.755253	0.010835	7.861326	5.720027	4.235673	9.031522	8.820671	-2.075961
7,647	train	H1	H03	100	100	10	11	13	-0.640474	0.65175	0.414287	0.413049	0.229995	6.344844	0.557545	-0.640474	0.65175	0.095986	0.17061	0.200319	0.424796	0.002009	0.001239	-0.658746
7,647	train	H0	H03	150	150	10	6	12.666667	1.975608	-1.978773	-1.687298	-1.687059	4.006353	4.080757	3.938981	-1.687059	1.978773	0.046015	2.846166	3.742414	3.920952	0.885564	0.880997	1.995259
7,647	train	H1	H03	150	150	10	10	7.333333	-0.764611	0.817984	0.323003	0.325099	0.202936	21.318063	1.22671	0.325099	0.817984	0.00009	0.105689	0.172213	0.670304	0.093311	0.16106	-0.829384
7,647	train	H0	H03	200	200	10	10	8	-0.06367	0.028896	0.841215	0.848177	3.203598	4.071234	3.194738	0.848177	0.841215	0.202428	0.719405	0.111468	0.000835	2.311695	2.340135	-0.025991
7,647	train	H1	H03	200	200	10	9.5	13.5	0.162214	-0.108851	-0.797584	-0.79674	1.238699	10.175528	2.214378	-0.79674	0.797584	0.017132	0.634795	0.285426	0.011847	1.762212	1.877917	0.111467
7,647	train	H0	H03	300	300	10	9	9.666667	1.154281	-1.133677	-1.527785	-1.532552	2.569112	2.750262	2.583696	1.154281	1.527785	0.25288	2.348717	1.747982	1.2855	2.397839	2.487298	1.143381
7,647	train	H1	H03	300	300	10	7.333333	8	-1.272288	1.298556	0.593711	0.593766	1.459027	8.615226	2.977609	-1.272288	1.298556	0.034869	0.352558	0.79205	1.688136	0.114123	0.150667	-1.304656
7,647	train	H0	H03	500	500	10	11	11.2	-1.05649	1.067402	0.695844	0.695268	1.45935	1.555215	1.431585	-1.05649	1.067402	0.281859	0.483398	0.927677	1.139516	0.009605	0.011252	-1.076153
7,647	train	H1	H03	500	500	10	10	12.6	-1.47357	1.573171	-0.478987	-0.479495	14.480162	22.655111	19.097216	-1.47357	1.573171	0.000048	0.229915	0.366207	2.480958	7.323006	7.418208	-1.582794
7,647	train	H0	H03	1,000	1,000	10	9.2	10.7	0.825732	-0.792819	-1.359807	-1.359821	2.536583	2.433871	2.590495	0.825732	1.359807	0.27383	1.849113	1.106848	0.628522	2.543878	2.505747	0.799111
7,647	train	H1	H03	1,000	1,000	10	10.7	9.8	-3.343291	3.363867	2.648884	2.655862	9.049333	15.240761	11.778332	-3.343291	3.363867	0.000705	7.053601	8.402247	11.341621	1.198275	1.169214	-3.387659
7,647	train	H0	H03	20	20	20	10	10	-0.405779	0.396908	0.37983	0.370156	0.138825	1.108566	0.164016	0.370156	0.396908	0.691603	0.137015	0.118843	0.156204	0.132485	0.080366	-0.396681
7,647	train	H1	H03	20	20	20	50	35	-2.004809	1.96718	1.96615	2.046998	4.213964	6.145065	4.239753	2.046998	1.96718	0.038753	4.190202	4.054891	3.943575	2.592905	2.576233	-2.066796
7,647	train	H0	H03	30	30	20	20	3.333333	-1.128338	1.127558	1.017988	1.00025	1.205911	1.142588	1.269715	-1.128338	1.127558	0.251409	1.000501	1.164259	1.268339	0.364296	0.470303	-1.146933
7,647	train	H1	H03	30	30	20	10	30	-1.064731	1.194994	-0.152666	-0.151477	8.35438	11.271867	9.362902	-1.064731	1.194994	0.009266	0.022945	0.356475	1.445717	3.481236	3.838022	-1.203201
7,647	train	H0	H03	50	50	20	16	32	0.112847	-0.081291	-0.345836	-0.343973	0.445531	0.537142	0.437106	-0.343973	0.345836	0.803681	0.118317	0.03392	0.006591	0.287834	0.304528	0.081911
7,647	train	H1	H03	50	50	20	28	20	-0.618945	0.608521	0.697859	0.697312	0.63374	13.727556	0.493568	-0.618945	0.697859	0.0033	0.486244	0.280217	0.370203	0.374262	0.292853	-0.608247
7,647	train	H0	H03	75	75	20	20	25.333333	1.983392	-1.960726	-1.933695	-1.953576	4.001518	4.226033	4.03077	-1.953576	1.960726	0.046861	3.816458	3.924121	3.858538	2.031966	1.946521	1.987554
7,647	train	H1	H03	75	75	20	14.666667	17.333333	-2.347321	2.412204	1.503681	1.521109	8.715346	9.934657	7.857786	-2.347321	2.412204	0.01527	2.313772	4.853245	5.867752	0.029943	0.002018	-2.425905
7,647	train	H0	H03	100	100	20	23	25	0.538425	-0.560305	-0.389414	-0.386699	0.255603	2.00759	0.377327	-0.386699	0.560305	0.56814	0.149536	0.19777	0.313618	0.002387	0.000863	0.570793
7,647	train	H1	H03	100	100	20	20	15	-2.365931	2.40661	1.678502	1.683221	6.1157	9.279402	7.081715	-2.365931	2.40661	0.014874	2.833232	4.349395	5.82262	0.081258	0.072361	-2.435444
7,647	train	H0	H03	150	150	20	21.333333	18.666667	0.240756	-0.290578	0.108284	0.107977	0.765974	0.806507	0.722862	0.240756	0.290578	0.696679	0.011659	0.023931	0.084362	0.317057	0.284885	0.29324
7,647	train	H1	H03	150	150	20	26	15.333333	-2.426561	2.385722	2.626455	2.64088	7.020568	10.900311	6.974289	-2.426561	2.626455	0.012277	6.974245	6.027653	5.709909	5.166133	4.998419	-2.445122
7,647	train	H0	H03	200	200	20	22	18	-1.781395	1.7826	1.52658	1.527173	3.076712	3.508193	3.24067	-1.781395	1.7826	0.068418	2.332257	2.868956	3.178271	0.650149	0.646305	-1.822241
7,647	train	H1	H03	200	200	20	19	20.5	-1.494403	1.58376	0.762375	0.762639	3.592519	11.13508	4.596128	-1.494403	1.58376	0.011017	0.581618	1.415553	2.511911	0.18369	0.208261	-1.606692
7,647	train	H0	H03	300	300	20	18	18.333333	1.290745	-1.267393	-1.344339	-1.347583	1.832156	5.583621	1.836953	1.290745	1.344339	0.133722	1.815979	1.491571	1.606619	1.135739	1.049307	1.283786
7,647	train	H1	H03	300	300	20	23	18.333333	-2.73127	2.857172	1.799638	1.801353	8.190406	19.357899	10.520565	-2.73127	2.857172	0.000231	3.244874	5.485486	8.187553	0.000642	0.000042	-2.909456
7,647	train	H0	H03	500	500	20	15.2	20.8	0.905275	-0.831908	-1.435265	-1.435054	2.629806	4.497736	2.988859	-1.435054	1.435265	0.212492	2.059381	1.359051	0.691996	2.940972	2.958883	0.846796
7,647	train	H1	H03	500	500	20	20.2	22	-2.626278	2.699547	1.9778	1.989565	6.289508	16.731379	8.07001	-2.626278	2.699547	0.000803	3.958367	5.244522	7.304029	0.336978	0.304144	-2.749831
7,647	train	H0	H03	1,000	1,000	20	19.9	18.9	0.483499	-0.487972	-0.397349	-0.397154	0.270463	0.347564	0.244675	-0.397154	0.487972	0.619104	0.157731	0.24303	0.238098	0.030853	0.026608	0.49712
7,647	train	H1	H03	1,000	1,000	20	19	18.9	-3.432727	3.564385	2.225151	2.230532	11.896506	38.546919	16.713947	-3.432727	3.564385	0	4.975275	7.989455	12.735665	0.000879	0.000039	-3.617751
7,647	train	H0	H03	20	20	30	35	30	-0.72957	0.658281	0.686522	0.676952	0.626344	3.223826	0.523226	-0.72957	0.686522	0.358386	0.458265	0.580729	0.432549	0.194899	0.457833	-0.715384
7,647	train	H1	H03	20	20	30	40	25	-0.675666	0.476223	1.268694	1.288622	4.440744	4.957712	4.632415	1.288622	1.268694	0.098647	1.660547	0.692446	0.226277	4.222703	4.164303	-0.547577
7,647	train	H0	H03	30	30	30	26.666667	46.666667	1.136111	-1.133529	-1.154424	-1.144809	1.314941	2.907303	1.330939	1.136111	1.154424	0.24495	1.310589	1.25818	1.283394	0.637113	0.58207	1.162702
7,647	train	H1	H03	30	30	30	36.666667	26.666667	-0.668232	0.65356	0.514569	0.511285	0.481963	4.270857	0.602829	0.511285	0.65356	0.233663	0.261413	0.298905	0.426217	0.049653	0.034344	-0.674514
7,647	train	H0	H03	50	50	30	30	36	0.481827	-0.354094	-0.830064	-0.82761	1.300085	5.622135	1.55467	-0.82761	0.830064	0.131513	0.684938	0.389354	0.122642	1.361252	1.575046	0.376161
7,647	train	H1	H03	50	50	30	24	36	0.239314	-0.206284	-0.434351	-0.432229	0.412477	0.40454	0.422793	-0.432229	0.434351	0.809453	0.186822	0.095296	0.042447	0.291093	0.28965	0.213547
7,647	train	H0	H03	75	75	30	25.333333	20	-2.021461	2.067779	1.564255	1.567464	4.877513	5.095116	4.688746	-2.021461	2.067779	0.034967	2.456944	3.830696	4.30362	0.227895	0.306588	-2.108742
7,647	train	H1	H03	75	75	30	33.333333	42.666667	0.372869	-0.013121	-1.165746	-1.179782	7.071947	8.676521	7.507056	-1.179782	1.165746	0.023435	1.391885	0.277533	0.000172	5.403588	5.469677	0.010075
7,647	train	H0	H03	100	100	30	29	21	-0.533706	0.478701	0.727829	0.727622	0.689726	0.820332	0.662619	-0.533706	0.727829	0.621275	0.529434	0.34143	0.228816	0.732505	0.708133	-0.494044
7,647	train	H1	H03	100	100	30	33	27	-1.100707	1.140714	0.863113	0.86127	1.28771	3.027266	1.469244	-1.100707	1.140714	0.243536	0.741785	0.982877	1.300907	0.110355	0.097628	-1.166194
7,647	train	H0	H03	150	150	30	28.666667	31.333333	-0.569829	0.631399	0.255792	0.256413	0.935266	0.958432	0.908971	-0.569829	0.631399	0.512014	0.065748	0.244348	0.398652	0.059016	0.048685	-0.655706
7,647	train	H1	H03	150	150	30	30.666667	30.666667	-0.833844	0.889305	0.851943	0.854269	0.792267	13.080871	0.741159	-0.833844	0.889305	0.004465	0.729776	0.526097	0.791531	0.434869	0.336431	-0.92199
7,647	train	H0	H03	200	200	30	29.5	29.5	-0.089386	0.146931	-0.147918	-0.147494	0.258625	1.938787	0.432246	-0.147494	0.147918	0.585208	0.021755	0.001812	0.021577	0.179166	0.196702	-0.14944
7,647	train	H1	H03	200	200	30	29.5	31.5	-1.170078	1.49986	-0.101001	-0.101149	11.118395	13.737251	12.253379	-0.101149	1.49986	0.002184	0.010231	0.706787	2.253583	4.171367	4.170661	-1.536885
7,647	train	H0	H03	300	300	30	28	29	1.720384	-1.743271	-1.704089	-1.710137	2.932141	11.105794	3.05169	1.720384	1.743271	0.011167	2.924567	2.74434	3.045334	1.616235	1.570573	1.789006
7,647	train	H1	H03	300	300	30	24	29.666667	-0.212708	0.460141	-1.026222	-1.026257	9.285411	12.953922	11.037807	-1.026257	1.026222	0.00401	1.053204	0.054055	0.212029	6.586146	6.627292	-0.464763
7,647	train	H0	H03	500	500	30	28.8	30	0.735593	-0.642899	-1.094411	-1.094285	1.749404	1.73275	1.833871	-1.094285	1.094411	0.399742	1.19746	0.750168	0.413409	1.762877	1.730328	0.662146
7,647	train	H1	H03	500	500	30	29.4	28.2	-3.072128	3.261526	1.932527	1.934505	14.616124	18.930699	16.462753	-3.072128	3.261526	0.000266	3.742308	7.29642	10.667257	0.135439	0.133731	-3.328564
7,647	train	H0	H03	1,000	1,000	30	29.5	29	0.362473	-0.357831	-0.382166	-0.382063	0.149303	0.541686	0.14624	0.362473	0.382166	0.712922	0.145972	0.116731	0.128034	0.090539	0.082687	0.367935
7,647	train	H1	H03	1,000	1,000	30	29.9	31.4	-2.893144	3.242363	1.411112	1.41287	17.195443	31.666145	21.783914	-2.893144	3.242363	0.000001	1.996201	5.468658	10.536853	1.657436	1.671552	-3.326993

Subsets and Splits

No community queries yet

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