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	H01	20	20	40	50	30	-1.237627	1.220481	1.206469	1.219603	1.560862	2.419461	1.541151	-1.237627	1.220481	0.205736	1.487432	1.610513	1.490459	1.11625	1.263405	-1.265376
7,648	train	H1	H01	20	20	40	20	45	2.081474	-1.893048	-2.269821	-2.34647	6.155712	18.746416	5.947477	-2.34647	2.269821	0.000308	5.50592	4.228047	3.621992	5.488816	5.111017	2.004197
7,648	train	H0	H01	30	30	40	40	30	-0.402005	0.276873	0.772075	0.766019	1.914322	3.999862	1.695441	0.766019	0.772075	0.261479	0.586785	0.182517	0.076294	1.737052	1.503474	-0.314358
7,648	train	H1	H01	30	30	40	43.333333	53.333333	0.555165	-0.423929	-0.751623	-0.745398	0.959461	2.454783	0.871752	-0.745398	0.751623	0.483518	0.555618	0.240845	0.178878	0.663781	0.481467	0.455815
7,648	train	H0	H01	50	50	40	42	46	0.352484	-0.280179	-0.495588	-0.493344	0.431941	1.303988	0.476316	-0.493344	0.495588	0.728186	0.243388	0.158957	0.078351	0.302787	0.305767	0.291234
7,648	train	H1	H01	50	50	40	38	38	0.227	-0.239823	-0.137042	-0.136552	0.235569	6.142276	0.119481	-0.136552	0.239823	0.10489	0.018646	0.077118	0.057409	0.011313	0.002773	0.261781
7,648	train	H0	H01	75	75	40	40	38.666667	0.726856	-0.854235	-0.578868	-0.578613	0.785068	1.183199	0.705294	-0.578613	0.854235	0.384419	0.334793	0.674499	0.730387	0.017986	0.022496	0.869784
7,648	train	H1	H01	75	75	40	37.333333	42.666667	2.661135	-2.753899	-2.383716	-2.462531	7.611929	7.890484	7.53656	2.661135	2.753899	0.00479	6.06406	7.324315	7.698586	2.194721	2.265386	2.820837
7,648	train	H0	H01	100	100	40	41	40	-0.478915	0.599428	0.026515	0.026473	2.42484	2.927047	2.57976	0.026473	0.599428	0.275304	0.000701	0.129617	0.359578	0.649372	0.601913	-0.613652
7,648	train	H1	H01	100	100	40	41	39	1.924695	-2.089201	-1.35634	-1.371266	6.435558	6.377952	6.54965	-1.371266	2.089201	0.029718	1.880372	3.316428	4.399867	0.002892	0.006154	2.173835
7,648	train	H0	H01	150	150	40	38.666667	38	-1.583847	1.790041	0.937283	0.935758	6.152421	6.490137	5.916129	-1.583847	1.790041	0.051919	0.875643	2.34491	3.213828	0.258507	0.258163	-1.838451
7,648	train	H1	H01	150	150	40	42.666667	40	0.52693	-0.609107	-0.289494	-0.291397	0.761996	2.912199	0.905751	-0.291397	0.609107	0.405361	0.084912	0.190055	0.370912	0.09009	0.097794	0.628198
7,648	train	H0	H01	200	200	40	36.5	37	-0.725966	0.699926	0.800687	0.805371	0.688681	1.731214	0.664865	-0.725966	0.800687	0.472612	0.648623	0.519009	0.489765	0.621802	0.6179	-0.718235
7,648	train	H1	H01	200	200	40	39.5	43.5	2.430016	-2.628278	-1.816248	-1.822504	8.533243	8.521234	8.745533	2.430016	2.628278	0.006457	3.321519	5.51898	6.928022	0.121169	0.143732	2.723616
7,648	train	H0	H01	300	300	40	40	36.666667	-0.831186	0.733293	1.013086	1.013187	1.142055	3.882508	1.235917	-0.831186	1.013086	0.274434	1.026549	0.867257	0.537536	1.297985	1.355468	-0.753954
7,648	train	H1	H01	300	300	40	40.666667	43	2.311024	-2.357363	-1.881468	-1.891609	6.573029	7.108107	6.37887	-1.891609	2.357363	0.014211	3.578185	5.071108	5.563947	0.523101	0.590513	2.451879
7,648	train	H0	H01	500	500	40	40.8	38.2	-1.310967	1.159799	1.535133	1.536783	2.533651	4.082393	2.614738	1.536783	1.535133	0.232538	2.361703	1.912171	1.34526	2.539163	2.612555	-1.193847
7,648	train	H1	H01	500	500	40	43.2	38.4	0.913812	-1.225637	-0.156159	-0.156312	5.43783	7.016963	6.104267	0.913812	1.225637	0.047258	0.024433	0.570015	1.50402	1.451297	1.439071	1.27637
7,648	train	H0	H01	1,000	1,000	40	38.1	37.3	-0.458735	0.522713	0.281017	0.281036	0.374014	0.883116	0.450914	0.281036	0.522713	0.591327	0.078981	0.15998	0.273195	0.005231	0.004459	-0.536914
7,648	train	H1	H01	1,000	1,000	40	41.1	39.5	2.911231	-3.287236	-1.768454	-1.773128	17.079428	23.341572	19.062589	2.911231	3.287236	0.000034	3.143982	7.133128	10.825309	0.340493	0.35367	3.397785
7,648	train	H0	H01	20	20	50	60	70	0.300261	-0.229497	-0.398817	-0.398231	0.645158	0.657109	0.645595	0.300261	0.398817	0.724121	0.158588	0.09406	0.052582	0.24848	0.24069	0.262228
7,648	train	H1	H01	20	20	50	60	65	0.869024	-0.979587	-0.804841	-0.801641	0.83849	2.112317	0.857908	-0.801641	0.979587	0.291046	0.642629	0.776693	0.958403	0.051406	0.037692	1.055829
7,648	train	H0	H01	30	30	50	43.333333	50	-0.234735	0.49846	-0.160708	-0.159292	2.480257	2.503994	2.471088	-0.159292	0.49846	0.290677	0.025374	0.058038	0.247392	0.88231	0.83226	-0.502102
7,648	train	H1	H01	30	30	50	40	43.333333	1.222608	-1.256521	-1.244048	-1.259177	1.587699	2.273979	1.593135	1.222608	1.256521	0.185901	1.585527	1.633537	1.593346	0.831095	0.753208	1.322803
7,648	train	H0	H01	50	50	50	54	54	-0.616854	0.83407	0.23741	0.236544	3.983114	3.972289	3.976785	0.236544	0.83407	0.136915	0.055953	0.358689	0.694583	0.752714	0.705114	-0.851471
7,648	train	H1	H01	50	50	50	44	64	2.543615	-2.587209	-2.379246	-2.380408	6.648607	10.621423	6.780724	-2.380408	2.587209	0.006101	5.666341	6.069267	6.762625	2.050106	1.864712	2.742313
7,648	train	H0	H01	75	75	50	42.666667	52	2.004155	-2.191604	-1.575022	-1.578098	5.827194	6.826385	6.036424	2.004155	2.191604	0.024287	2.490393	3.812292	4.828409	0.126886	0.148535	2.252558
7,648	train	H1	H01	75	75	50	54.666667	40	-0.906338	0.738678	1.234592	1.225991	2.400828	2.312458	2.415996	-0.906338	1.234592	0.298795	1.503053	0.928291	0.544549	2.720474	2.585514	-0.771316
7,648	train	H0	H01	100	100	50	38	59	2.034712	-1.900363	-2.134625	-2.1315	4.56996	4.827208	4.562902	-2.1315	2.134625	0.049337	4.543291	4.04386	3.607538	3.25891	3.225207	1.965671
7,648	train	H1	H01	100	100	50	52	58	1.315337	-1.35622	-1.211959	-1.210033	1.773965	4.372396	1.848436	-1.210033	1.35622	0.154521	1.464181	1.627478	1.840796	0.365285	0.302891	1.423744
7,648	train	H0	H01	150	150	50	51.333333	54.666667	0.368006	-0.269048	-0.467277	-0.466332	0.38079	0.920245	0.356179	-0.466332	0.467277	0.780043	0.217466	0.105917	0.072325	0.264026	0.250573	0.279263
7,648	train	H1	H01	150	150	50	48	52.666667	2.212436	-2.345293	-1.884242	-1.893371	5.73669	7.727452	5.990798	-1.893371	2.345293	0.013682	3.584853	4.591785	5.516057	0.546714	0.551364	2.465496
7,648	train	H0	H01	200	200	50	59.5	53	-1.127164	1.289967	0.865137	0.867208	2.55598	2.641039	2.597111	0.867208	1.289967	0.185064	0.752049	1.348515	1.664948	0.000084	0.003955	-1.325323
7,648	train	H1	H01	200	200	50	48.5	53.5	2.576963	-2.602855	-2.283154	-2.301017	7.200045	14.559519	7.551653	-2.301017	2.602855	0.002235	5.29468	5.923303	6.80969	1.334612	1.31048	2.709497
7,648	train	H0	H01	300	300	50	52.333333	55	0.241663	-0.209861	-0.184533	-0.184416	0.139681	1.391906	0.100795	0.241663	0.209861	0.707433	0.034009	0.055735	0.04403	0.002201	0.000077	0.21724
7,648	train	H1	H01	300	300	50	47.666667	46.666667	2.135563	-2.289454	-1.728364	-1.742789	5.601996	6.181751	5.811335	2.135563	2.289454	0.016406	3.037313	4.332814	5.25513	0.283033	0.294113	2.399751
7,648	train	H0	H01	500	500	50	52.2	49.6	-0.85502	0.898439	0.790119	0.789484	0.731343	1.020467	0.753599	0.789484	0.898439	0.350126	0.623285	0.716327	0.807105	0.248061	0.247355	-0.934344
7,648	train	H1	H01	500	500	50	49	48.6	2.583334	-2.766647	-2.067352	-2.078269	9.505372	9.497828	9.631855	-2.078269	2.766647	0.003984	4.319203	6.447278	7.682048	0.28359	0.308307	2.879389
7,648	train	H0	H01	1,000	1,000	50	51.3	51.4	-0.222099	0.421337	-0.207374	-0.207331	3.339321	8.625836	2.824438	-0.207331	0.421337	0.034702	0.042986	0.092382	0.177514	1.307231	1.224146	-0.438128
7,648	train	H1	H01	1,000	1,000	50	52.4	53.2	3.744901	-4.23356	-2.858933	-2.873684	22.363152	31.247103	24.09814	-2.873684	4.23356	0.000001	8.258057	13.069632	17.977062	0.088515	0.093278	4.425346
7,648	train	H0	H02	20	20	0	0	0	2.191057	-2.191057	-1.548345	-1.578662	6.076514	6.47549	5.681167	-1.578662	2.191057	0.026489	2.492175	4.219931	4.92198	0.282811	0.494925	2.21897
7,648	train	H1	H02	20	20	0	0	0	-0.189351	0.189351	0.228063	0.224547	0.110594	2.737474	0.050915	0.224547	0.228063	0.433897	0.050421	0.08566	0.03561	0.073989	0.181598	-0.191763
7,648	train	H0	H02	30	30	0	0	0	-1.345383	1.345383	1.910203	2.000263	5.767512	7.595578	5.439163	2.000263	1.910203	0.055153	4.001054	2.64243	1.813722	6.050515	5.867636	-1.356736
7,648	train	H1	H02	30	30	0	0	0	0.783575	-0.783575	-0.536962	-0.528407	0.876316	1.330331	0.721118	0.783575	0.783575	0.429419	0.279213	0.542325	0.611583	0.003185	0.021618	0.790187
7,648	train	H0	H02	50	50	0	0	0	0.055151	-0.055151	-0.356895	-0.35226	0.318235	0.260197	0.393829	-0.35226	0.356895	0.821261	0.124087	0.041609	0.003032	0.24764	0.229597	0.055428
7,648	train	H1	H02	50	50	0	0	0	0.861727	-0.861727	-1.002003	-1.006064	1.189087	7.0641	1.016831	0.861727	1.002003	0.069882	1.012166	0.703396	0.741101	0.703162	0.574109	0.866069
7,648	train	H0	H02	75	75	0	0	0	0.362717	-0.362717	-0.320188	-0.318973	0.122869	2.328541	0.13158	0.362717	0.362717	0.507075	0.101744	0.067261	0.131552	0.029982	0.010553	0.361498
7,648	train	H1	H02	75	75	0	0	0	0.419098	-0.419098	0.128315	0.127082	0.942893	0.74799	1.182014	0.419098	0.419098	0.553769	0.01615	0.029923	0.175434	0.483489	0.449058	0.417689
7,648	train	H0	H02	100	100	0	0	0	-0.056198	0.056198	0.56567	0.563465	1.210532	1.274835	1.117888	0.563465	0.56567	0.571813	0.317493	0.054694	0.003152	0.965207	0.897978	-0.056339
7,648	train	H1	H02	100	100	0	0	0	0.564423	-0.564423	0.548864	0.549399	4.114454	4.749181	4.994553	0.564423	0.564423	0.082309	0.301839	0.007891	0.318661	2.451475	2.443769	0.565839
7,648	train	H0	H02	150	150	0	0	0	0.268886	-0.268886	0.380267	0.379956	1.438309	1.27154	1.647715	0.268886	0.380267	0.438736	0.144367	0.000283	0.072332	0.903907	0.827815	0.269335
7,648	train	H1	H02	150	150	0	0	0	2.051251	-2.051251	-0.949056	-0.948181	3.776652	9.98497	7.14922	2.051251	2.051251	0.018694	0.899047	2.089391	4.238935	0.111154	0.149568	2.054678
7,648	train	H0	H02	200	200	0	0	0	0.207587	-0.207587	-0.223232	-0.222474	0.054419	0.107361	0.050321	0.207587	0.223232	0.835349	0.049495	0.056372	0.043067	0.024989	0.033745	0.207847
7,648	train	H1	H02	200	200	0	0	0	1.132213	-1.132213	-1.129295	-1.131497	1.306472	2.207019	1.36972	1.132213	1.132213	0.256949	1.280285	0.993054	1.284243	0.712088	0.675381	1.133631
7,648	train	H0	H02	300	300	0	0	0	-1.733325	1.733325	1.582964	1.581891	2.838059	3.077215	3.030413	-1.733325	1.733325	0.082781	2.502381	2.845582	3.007051	1.022634	1.009842	-1.734771
7,648	train	H1	H02	300	300	0	0	0	0.192173	-0.192173	0.874696	0.875952	2.542922	9.326859	4.525334	0.875952	0.874696	0.025246	0.767292	0.146865	0.036969	2.981857	3.216175	0.192333
7,648	train	H0	H02	500	500	0	0	0	-0.979715	0.979715	1.136508	1.137162	1.424211	3.805759	1.29344	-0.979715	1.136508	0.283217	1.293137	0.949365	0.959787	1.023273	0.964385	-0.980205
7,648	train	H1	H02	500	500	0	0	0	2.025999	-2.025999	-2.200564	-2.213535	5.083871	10.120592	4.937567	2.025999	2.200564	0.017568	4.899736	3.841443	4.108814	3.297279	3.201159	2.027013
7,648	train	H0	H02	1,000	1,000	0	0	0	0.24053	-0.24053	0.055098	0.055145	1.163631	6.440357	0.340902	0.055145	0.24053	0.092045	0.003041	0.073334	0.057847	0.11892	0.098707	0.24059
7,648	train	H1	H02	1,000	1,000	0	0	0	2.486763	-2.486763	-1.960205	-1.972425	3.904923	39.319976	6.361057	2.486763	2.486763	0	3.890459	3.676172	6.196571	0.968047	0.908059	2.487385
7,648	train	H0	H02	20	20	10	5	5	0.340386	-0.32876	-0.438008	-0.428599	0.198082	0.309061	0.193965	0.340386	0.438008	0.738381	0.183697	0.141628	0.107083	0.104686	0.081195	0.333998
7,648	train	H1	H02	20	20	10	5	5	0.784375	-0.778541	-1.09887	-1.096853	1.550289	2.300598	1.443452	-1.096853	1.09887	0.425819	1.203087	0.791221	0.603309	1.140813	0.994123	0.796367
7,648	train	H0	H02	30	30	10	6.666667	10	-0.416645	0.434949	0.215362	0.210807	0.143191	1.577282	0.293249	-0.416645	0.434949	0.656223	0.044439	0.09067	0.188122	0.000191	0.003334	-0.445134
7,648	train	H1	H02	30	30	10	16.666667	10	1.008633	-1.052204	-0.898534	-0.893623	0.878645	3.354799	1.025525	1.008633	1.052204	0.273449	0.798563	0.905755	1.096173	0.191768	0.138436	1.095154
7,648	train	H0	H02	50	50	10	6	8	0.317473	-0.287867	-0.644791	-0.638751	0.605705	0.524277	0.684043	-0.638751	0.644791	0.710333	0.408003	0.225183	0.082842	0.578204	0.53005	0.2971
7,648	train	H1	H02	50	50	10	8	8	0.804504	-0.814467	-0.554374	-0.551069	0.754026	0.934676	0.780805	0.804504	0.814467	0.407499	0.303677	0.489395	0.662301	0.010408	0.033648	0.828303
7,648	train	H0	H02	75	75	10	10.666667	12	0.570831	-0.578349	-0.30363	-0.300319	0.611795	0.797069	0.516249	0.570831	0.578349	0.556016	0.090191	0.260782	0.333597	0.018439	0.006164	0.588769
7,648	train	H1	H02	75	75	10	10.666667	9.333333	1.794662	-1.804056	-1.788072	-1.817007	3.313017	6.033274	3.441363	1.794662	1.804056	0.068379	3.301513	3.128092	3.268381	1.777697	1.678537	1.822498
7,648	train	H0	H02	100	100	10	13	15	1.0904	-1.099704	-0.941114	-0.935952	1.069958	1.677898	1.19243	1.0904	1.099704	0.253493	0.876006	1.072831	1.202763	0.221633	0.1943	1.141905
7,648	train	H1	H02	100	100	10	11	8	0.978685	-1.029185	-1.075432	-1.089592	1.46453	12.624997	1.187297	0.978685	1.075432	0.005522	1.187211	0.81056	1.061527	0.858827	0.728448	1.053996
7,648	train	H0	H02	150	150	10	13.333333	12	-0.261877	0.191814	1.000199	1.003824	2.385401	5.763933	2.966204	1.003824	1.000199	0.123678	1.007664	0.291456	0.036758	2.559457	2.815436	-0.197883
7,648	train	H1	H02	150	150	10	8	8.666667	2.580093	-2.721486	-1.003466	-1.000286	9.864214	11.630944	13.659785	2.580093	2.721486	0.001081	1.000573	3.826354	7.468636	0.652646	0.626835	2.779377
7,648	train	H0	H02	200	200	10	9.5	9.5	-0.040878	0.090402	-0.037326	-0.03728	0.06566	4.082271	0.025839	-0.040878	0.090402	0.252716	0.00139	0.007315	0.008168	0.007232	0.021796	-0.092275
7,648	train	H1	H02	200	200	10	6.5	10	3.653278	-3.729433	-2.978794	-3.021713	11.149367	30.534098	13.745116	3.653278	3.729433	0.000001	9.130752	11.248212	14.041753	2.59428	2.46713	3.795984
7,648	train	H0	H02	300	300	10	10.666667	10.333333	-0.184333	0.154686	0.413624	0.412352	0.191647	1.587127	0.314469	0.412352	0.413624	0.662312	0.170034	0.098746	0.023912	0.328535	0.380834	-0.158047
7,648	train	H1	H02	300	300	10	12.333333	9.666667	2.851771	-2.968383	-2.101861	-2.116045	6.512844	20.324259	8.976151	2.851771	2.968383	0.000145	4.477647	6.312026	8.864927	0.596167	0.529981	3.044626
7,648	train	H0	H02	500	500	10	10.2	11.6	-1.202876	1.218214	1.1863	1.187092	1.409702	3.372395	1.518466	-1.202876	1.218214	0.214335	1.409187	1.364349	1.484573	0.73541	0.691919	-1.241733
7,648	train	H1	H02	500	500	10	10.8	9.8	3.321627	-3.375642	-3.572737	-3.638075	13.566458	28.297286	13.268947	3.321627	3.572737	0.000003	13.235592	11.020632	11.432098	9.256356	9.099822	3.464024
7,648	train	H0	H02	1,000	1,000	10	10.1	9.2	-0.326039	0.371658	-0.587945	-0.588296	3.641445	3.554445	3.504997	-0.326039	0.587945	0.17334	0.346092	0.001627	0.138116	1.982403	1.926486	-0.379018
7,648	train	H1	H02	1,000	1,000	10	9.7	9.8	3.09902	-3.322289	-1.276415	-1.278543	9.936183	28.834219	19.017553	3.09902	3.322289	0.000002	1.634672	4.885509	11.077918	0.823939	0.880769	3.390619
7,648	train	H0	H02	20	20	20	5	35	-0.922446	1.138931	-0.233487	-0.240588	7.664483	7.823998	7.799694	-0.240588	1.138931	0.020245	0.057883	0.406748	1.352818	3.700348	3.489482	-1.206383
7,648	train	H1	H02	20	20	20	25	30	2.166592	-2.111404	-2.049863	-2.156011	4.797874	8.285381	4.891319	2.166592	2.111404	0.028848	4.648382	4.560911	4.580645	2.114838	2.011827	2.185561
7,648	train	H0	H02	30	30	20	10	16.666667	-0.496696	0.479683	0.732163	0.735459	0.847557	2.504684	0.729541	-0.496696	0.732163	0.474445	0.5409	0.31155	0.229112	0.930145	0.808882	-0.486751
7,648	train	H1	H02	30	30	20	16.666667	23.333333	0.800835	-0.865937	-0.565999	-0.556532	0.578187	3.857235	0.842801	0.800835	0.865937	0.277299	0.309728	0.447248	0.748315	0.000221	0.007241	0.884971
7,648	train	H0	H02	50	50	20	18	14	-0.647334	0.598283	0.635262	0.633657	0.680743	5.656409	0.430896	-0.647334	0.635262	0.129577	0.401522	0.588724	0.362526	0.209648	0.370404	-0.62268
7,648	train	H1	H02	50	50	20	16	30	0.857038	-0.94035	-0.543436	-0.538282	0.836918	1.757619	1.089905	0.857038	0.94035	0.326355	0.289747	0.53827	0.882891	0.006177	0.011406	0.981482
7,648	train	H0	H02	75	75	20	18.666667	29.333333	0.077307	-0.070215	-0.313209	-0.311725	0.321122	0.783952	0.327109	0.077307	0.313209	0.84912	0.097172	0.0194	0.004623	0.2286	0.279166	0.078914
7,648	train	H1	H02	75	75	20	30.666667	25.333333	1.933304	-2.168427	-0.909948	-0.909243	7.071971	10.246516	8.260385	1.933304	2.168427	0.01608	0.826722	2.807142	4.772727	0.351553	0.376836	2.282242
7,648	train	H0	H02	100	100	20	19	21	0.145826	-0.224169	0.311152	0.309614	0.660763	2.854521	1.020943	0.309614	0.311152	0.414603	0.095861	0.000498	0.05016	0.66592	0.796339	0.231729
7,648	train	H1	H02	100	100	20	17	21	1.14382	-1.179636	-1.637484	-1.65304	3.515689	4.219292	3.369784	-1.65304	1.637484	0.185464	2.732542	1.719665	1.392251	3.400752	3.523361	1.240135
7,648	train	H0	H02	150	150	20	16.666667	20	-0.484063	0.438971	0.213764	0.212816	0.767935	1.212605	0.455027	-0.484063	0.438971	0.646518	0.045291	0.224593	0.192676	0.022925	0.010041	-0.458605
7,648	train	H1	H02	150	150	20	19.333333	12.666667	0.980708	-1.147022	0.056907	0.056665	3.248781	4.196146	5.059197	0.056665	1.147022	0.079691	0.003211	0.317875	1.320153	1.421593	1.418541	1.18346
7,648	train	H0	H02	200	200	20	18.5	20	0.369324	-0.392902	0.037709	0.037564	1.003896	1.199629	0.812321	0.369324	0.392902	0.666203	0.001411	0.084323	0.154213	0.28696	0.247404	0.408564
7,648	train	H1	H02	200	200	20	21	19.5	2.042786	-2.316177	-0.929902	-0.929333	5.318318	12.036917	7.933551	2.042786	2.316177	0.007258	0.86366	2.815361	5.391625	0.287828	0.354457	2.44032
7,648	train	H0	H02	300	300	20	22	19.333333	-0.456592	0.441111	0.091915	0.092282	1.301726	3.348038	0.755755	-0.456592	0.441111	0.341012	0.008516	0.188039	0.194548	0.136494	0.10989	-0.458242
7,648	train	H1	H02	300	300	20	21	19.666667	3.046152	-3.317476	-1.860203	-1.863714	10.511461	12.484431	12.981685	3.046152	3.317476	0.000473	3.473428	7.174022	11.108401	0.006117	0.007085	3.495551
7,648	train	H0	H02	500	500	20	20	18.4	-2.097391	2.090686	2.11371	2.117818	4.620572	4.565595	4.687274	-2.097391	2.11371	0.030123	4.485151	4.509141	4.374034	2.489281	2.546065	-2.168466
7,648	train	H1	H02	500	500	20	20.2	19.8	4.200833	-4.457634	-3.481248	-3.529281	14.689355	38.030496	18.146356	4.200833	4.457634	0	12.455821	15.318715	20.033382	3.420987	3.306042	4.671088
7,648	train	H0	H02	1,000	1,000	20	20.9	18.9	-0.447214	0.26981	1.16763	1.167094	2.098281	6.866488	3.105717	1.167094	1.16763	0.076277	1.362109	0.574262	0.072848	2.860125	3.002486	-0.281601
7,648	train	H1	H02	1,000	1,000	20	22.9	20.6	4.485959	-4.969515	-3.317019	-3.340433	16.106314	35.884984	22.651374	4.485959	4.969515	0	11.158491	16.30093	24.827276	1.401554	1.340862	5.220406

Subsets and Splits

No community queries yet

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