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	H29	20	20	50	45	60	0.479759	-0.277202	-0.747546	-0.740417	2.287802	2.481227	2.310144	-0.740417	0.747546	0.315035	0.548217	0.225575	0.076496	1.445667	1.395774	0.296869
7,647	train	H1	H29	20	20	50	40	60	1.25189	-1.23917	-1.266887	-1.275609	1.631615	2.472544	1.628709	-1.275609	1.266887	0.197641	1.627177	1.647521	1.537397	0.945482	0.990599	1.288301
7,647	train	H0	H29	30	30	50	36.666667	33.333333	-0.238007	0.223896	0.095046	0.093538	0.254394	0.785959	0.204702	-0.238007	0.223896	0.825112	0.008749	0.041034	0.049928	0.001165	0.004331	-0.220975
7,647	train	H1	H29	30	30	50	53.333333	50	-0.30382	0.237553	0.491359	0.49172	0.846536	6.916261	0.958806	-0.30382	0.491359	0.074615	0.241789	0.164946	0.056582	1.032487	1.118855	-0.247603
7,647	train	H0	H29	50	50	50	46	40	-1.839854	1.918686	1.56831	1.594081	3.739546	4.23229	3.802046	-1.839854	1.918686	0.045035	2.541094	3.388816	3.690557	0.414611	0.40735	-2.004324
7,647	train	H1	H29	50	50	50	52	40	-0.37689	-0.030663	0.861481	0.856404	2.729993	4.348538	2.97568	0.856404	0.861481	0.22586	0.733427	0.14814	0.000941	2.7601	2.766458	0.012402
7,647	train	H0	H29	75	75	50	48	49.333333	0.360997	-0.326815	-0.518068	-0.518487	0.602621	3.90844	0.683589	-0.518487	0.518068	0.271522	0.268829	0.214887	0.10679	0.497034	0.525049	0.334386
7,647	train	H1	H29	75	75	50	50.666667	46.666667	1.241256	-1.663244	-0.517003	-0.516988	8.77889	9.19085	8.923616	-0.516988	1.663244	0.011541	0.267276	1.497585	2.774745	1.010851	0.934971	1.729852
7,647	train	H0	H29	100	100	50	43	46	-1.661288	1.840486	1.314374	1.335588	3.807164	3.909722	3.783276	-1.661288	1.840486	0.055573	1.783794	2.863514	3.410871	0.074982	0.080902	-1.914372
7,647	train	H1	H29	100	100	50	54	51	1.377048	-1.720226	-1.003025	-1.01891	3.436884	16.321962	3.953858	-1.01891	1.720226	0.000974	1.038178	1.766392	2.985153	0.003452	0.007677	1.836061
7,647	train	H0	H29	150	150	50	48	55.333333	1.623941	-1.411571	-1.730958	-1.7359	3.085975	3.103204	3.084515	-1.7359	1.730958	0.144188	3.013347	2.374809	1.99299	2.32757	2.371285	1.460372
7,647	train	H1	H29	150	150	50	52	54.666667	2.678761	-2.837225	-2.381441	-2.44303	7.727414	11.987069	7.984381	-2.44303	2.837225	0.00261	5.968394	7.149432	8.119287	1.556175	1.522302	3.010285
7,647	train	H0	H29	200	200	50	46.5	45.5	-0.287623	0.372051	0.168357	0.168185	0.286561	0.613042	0.251035	0.168185	0.372051	0.700386	0.028286	0.113868	0.138336	0.004309	0.002829	-0.3848
7,647	train	H1	H29	200	200	50	49	52	2.53321	-2.960335	-1.876452	-1.883551	10.383674	15.69566	11.070099	2.53321	2.960335	0.001309	3.547764	6.241687	8.815992	0.01995	0.012943	3.110989
7,647	train	H0	H29	300	300	50	51.333333	46.666667	-0.995837	0.855813	1.056527	1.055492	1.130008	1.247542	1.124917	1.055492	1.056527	0.377101	1.114063	0.866636	0.732471	0.886345	0.939909	-0.88325
7,647	train	H1	H29	300	300	50	49	53	3.731893	-4.289141	-2.78295	-2.801409	23.183859	32.030153	24.479667	-2.801409	4.289141	0.000001	7.847891	13.567359	18.576267	0.101493	0.105478	4.512292
7,647	train	H0	H29	500	500	50	49	50.6	0.658709	-0.498156	-0.830712	-0.830472	0.970607	1.450564	1.013355	-0.830472	0.830712	0.602494	0.689683	0.439537	0.248122	0.974468	0.953239	0.516158
7,647	train	H1	H29	500	500	50	49.6	53	4.658886	-5.320367	-3.455122	-3.487184	37.745877	40.423524	38.729479	4.658886	5.320367	0	12.160453	21.905595	28.494104	0.124351	0.136105	5.563179
7,647	train	H0	H29	1,000	1,000	50	48.9	52.5	1.370051	-1.399838	-1.213234	-1.212584	2.10507	2.061417	2.110731	1.370051	1.399838	0.147966	1.470359	1.777591	1.959484	0.322113	0.369339	1.446755
7,647	train	H1	H29	1,000	1,000	50	50.5	49	4.142255	-5.202855	-2.258019	-2.267664	59.114568	73.480975	62.700996	-2.267664	5.202855	0	5.1423	15.964692	27.197733	3.56824	3.535393	5.454952
7,648	train	H0	H01	20	20	0	0	0	0.595102	-0.595102	0.295171	0.296573	4.420938	4.9385	4.066526	0.595102	0.595102	0.130908	0.087956	0.063426	0.352705	1.594956	1.382716	0.602683
7,648	train	H1	H01	20	20	0	0	0	0.189351	-0.189351	0.648772	0.648643	3.279635	3.313367	3.495188	0.648643	0.648772	0.174193	0.420738	0.031916	0.035701	2.303431	2.203915	0.191763
7,648	train	H0	H01	30	30	0	0	0	-0.192198	0.192198	0.336486	0.33056	0.230627	0.709839	0.152521	-0.192198	0.336486	0.846317	0.10927	0.042697	0.036715	0.229399	0.178673	-0.193819
7,648	train	H1	H01	30	30	0	0	0	-0.813143	0.813143	0.421503	0.414718	1.263884	1.564223	1.045772	-0.813143	0.813143	0.412213	0.171991	0.513684	0.659006	0.009999	0.000007	-0.820005
7,648	train	H0	H01	50	50	0	0	0	-1.040967	1.040967	1.330753	1.335329	1.883351	1.914654	1.871	-1.040967	1.330753	0.295464	1.783103	1.375635	1.081975	1.856442	1.895597	-1.046211
7,648	train	H1	H01	50	50	0	0	0	1.661411	-1.661411	-0.764185	-0.758055	4.175064	4.484015	4.799869	1.661411	1.661411	0.090724	0.574647	1.749461	2.781291	0.099789	0.071422	1.66978
7,648	train	H0	H01	75	75	0	0	0	-0.704761	0.704761	0.668737	0.662677	0.458782	0.770268	0.505701	0.662677	0.704761	0.482434	0.439141	0.451577	0.495738	0.235631	0.211584	-0.702393
7,648	train	H1	H01	75	75	0	0	0	-0.114641	0.114641	0.870255	0.87156	2.543355	2.322176	2.625968	-0.114641	0.870255	0.269016	0.759617	0.190528	0.013141	2.166375	2.085369	-0.114256
7,648	train	H0	H01	100	100	0	0	0	0.063528	-0.063528	-0.873494	-0.873304	2.16428	2.521967	2.833224	-0.873304	0.873494	0.242534	0.76266	0.209363	0.004036	2.142851	2.158953	0.063688
7,648	train	H1	H01	100	100	0	0	0	2.48004	-2.48004	-1.521136	-1.521421	7.295646	7.144825	7.915139	2.48004	2.48004	0.012909	2.314721	4.672598	6.205651	0.054311	0.086478	2.486263
7,648	train	H0	H01	150	150	0	0	0	0.688187	-0.688187	-0.619979	-0.618914	0.617524	2.057135	0.474946	-0.618914	0.688187	0.490611	0.383055	0.533147	0.473411	0.135639	0.187687	0.689337
7,648	train	H1	H01	150	150	0	0	0	0.930451	-0.930451	-0.555686	-0.55361	1.391206	2.015428	1.134714	-0.55361	0.930451	0.351334	0.306484	0.714014	0.865151	0.000009	0.003749	0.932005
7,648	train	H0	H01	200	200	0	0	0	-0.531941	0.531941	-0.14693	-0.147012	2.33452	2.905057	1.844086	-0.531941	0.531941	0.397706	0.021613	0.108067	0.28274	0.626524	0.558905	-0.532607
7,648	train	H1	H01	200	200	0	0	0	2.958112	-2.958112	-2.277569	-2.287928	8.619297	8.046735	9.161012	2.958112	2.958112	0.003058	5.234613	7.539357	8.797294	1.096241	1.218082	2.961816
7,648	train	H0	H01	300	300	0	0	0	0.56286	-0.56286	-0.936601	-0.936645	1.326982	2.627751	1.139832	-0.936645	0.936601	0.452645	0.877303	0.476356	0.316642	1.080837	1.01065	0.563329
7,648	train	H1	H01	300	300	0	0	0	2.314554	-2.314554	-1.853204	-1.862309	3.980382	16.847951	5.479106	2.314554	2.314554	0.000759	3.468196	4.018795	5.369648	0.853669	0.774722	2.316485
7,648	train	H0	H01	500	500	0	0	0	-1.368622	1.368622	1.710293	1.716099	2.947453	6.622931	3.010267	1.716099	1.710293	0.084938	2.944994	2.458663	1.873233	2.632611	2.813987	-1.369307
7,648	train	H1	H01	500	500	0	0	0	1.299644	-1.299644	-0.279969	-0.279537	3.572621	2.881101	4.593971	1.299644	1.299644	0.100562	0.078141	0.74321	1.689919	0.661272	0.623735	1.300294
7,648	train	H0	H01	1,000	1,000	0	0	0	0.497167	-0.497167	-0.912445	-0.912721	1.420644	1.595737	1.18533	0.497167	0.912445	0.552852	0.83306	0.373828	0.24713	1.152182	1.179996	0.497291
7,648	train	H1	H01	1,000	1,000	0	0	0	4.198891	-4.198891	-2.51233	-2.513695	19.081464	21.956151	22.786026	4.198891	4.198891	0.000011	6.31866	12.755762	17.674253	0.062424	0.057888	4.199941
7,648	train	H0	H01	20	20	10	5	5	0.331474	-0.324799	-0.349285	-0.346131	0.1452	3.664247	0.121343	0.331474	0.349285	0.300076	0.119807	0.075467	0.104937	0.035564	0.011857	0.330622
7,648	train	H1	H01	20	20	10	10	5	-0.094689	0.055605	0.74979	0.746779	2.187638	2.752041	2.423542	-0.094689	0.74979	0.29767	0.557679	0.132307	0.003079	1.935143	1.973135	-0.070673
7,648	train	H0	H01	30	30	10	6.666667	3.333333	1.27327	-1.271712	-0.961792	-0.962035	1.870173	2.039943	1.784609	1.27327	1.271712	0.196717	0.925512	1.434399	1.622684	0.094978	0.169199	1.290961
7,648	train	H1	H01	30	30	10	13.333333	16.666667	1.665272	-1.57253	-1.946364	-2.056894	5.137637	6.545747	4.972595	-2.056894	1.946364	0.083218	4.230814	3.164192	2.486294	4.601931	4.517659	1.529751
7,648	train	H0	H01	50	50	10	18	6	-1.726772	1.739233	1.655666	1.646191	2.933961	3.962159	3.025715	-1.726772	1.739233	0.076561	2.709944	3.00459	3.023341	1.279844	1.22406	-1.770995
7,648	train	H1	H01	50	50	10	18	12	0.760255	-0.785067	-0.253376	-0.250603	0.913708	4.406111	1.65739	0.760255	0.785067	0.220819	0.062802	0.229246	0.616396	0.177452	0.264738	0.796074
7,648	train	H0	H01	75	75	10	8	5.333333	-0.860874	0.878643	0.272093	0.271059	1.968476	1.968323	1.96515	-0.860874	0.878643	0.374346	0.073473	0.440807	0.771433	0.204859	0.17291	-0.875821
7,648	train	H1	H01	75	75	10	12	10.666667	0.747189	-0.711637	-1.086102	-1.090426	1.626415	1.836532	1.533613	-1.090426	1.086102	0.464494	1.189029	0.726194	0.506137	1.374072	1.345914	0.718338
7,648	train	H0	H01	100	100	10	12	11	1.512785	-1.491751	-1.638468	-1.65433	2.747094	2.765014	2.738881	-1.65433	1.638468	0.132313	2.736809	2.631172	2.231932	1.88052	1.874941	1.505043
7,648	train	H1	H01	100	100	10	9	10	1.846931	-1.851703	-1.491452	-1.493971	3.125613	4.314223	3.568261	1.846931	1.851703	0.062209	2.23195	2.849767	3.440692	0.479411	0.4615	1.864803
7,648	train	H0	H01	150	150	10	6.666667	13.333333	0.487998	-0.45952	-0.859909	-0.856816	1.314182	1.514497	1.126073	0.487998	0.859909	0.569477	0.734133	0.319948	0.210922	1.055625	1.044119	0.464196
7,648	train	H1	H01	150	150	10	11.333333	9.333333	0.478281	-0.449264	-0.565728	-0.564513	0.363366	0.792545	0.322371	-0.564513	0.565728	0.650932	0.318674	0.196576	0.201792	0.234497	0.208555	0.452468
7,648	train	H0	H01	200	200	10	12.5	11	0.479441	-0.483664	-0.464164	-0.464544	0.272466	0.428546	0.235566	0.479441	0.483664	0.625486	0.215801	0.283568	0.233912	0.098202	0.105884	0.488091
7,648	train	H1	H01	200	200	10	7.5	10.5	0.051823	-0.080803	0.522812	0.525569	2.020842	3.569115	1.645626	0.525569	0.522812	0.311908	0.276223	0.015123	0.006525	1.168867	1.077426	0.082447
7,648	train	H0	H01	300	300	10	9.333333	11	1.163961	-1.172777	-0.811852	-0.810751	2.03559	3.887306	1.617552	-0.810751	1.172777	0.237832	0.657317	1.258692	1.375022	0.036466	0.063142	1.180423
7,648	train	H1	H01	300	300	10	10.666667	9.666667	0.943256	-0.958773	-0.524131	-0.522988	1.021869	2.802977	1.399606	0.943256	0.958773	0.334401	0.273516	0.56746	0.919333	0.009974	0.01884	0.965286
7,648	train	H0	H01	500	500	10	10.8	12	0.742504	-0.717418	-0.80817	-0.8073	0.72628	1.552589	0.653606	-0.8073	0.80817	0.470309	0.651734	0.7155	0.51455	0.434341	0.441091	0.721976
7,648	train	H1	H01	500	500	10	10.4	9.6	3.266036	-3.297206	-2.222686	-2.227253	12.110356	11.940281	12.969829	3.266036	3.297206	0.000883	4.960656	8.588852	10.904618	0.289346	0.309513	3.325365
7,648	train	H0	H01	1,000	1,000	10	9.3	10.8	1.700947	-1.669334	-2.08099	-2.083208	4.428203	4.497688	4.468722	-2.083208	2.08099	0.093068	4.339754	3.580239	2.787084	3.858685	3.858814	1.679433
7,648	train	H1	H01	1,000	1,000	10	9.1	10.7	5.087517	-5.146509	-3.398641	-3.405581	28.433229	27.773848	32.288146	5.087517	5.146509	0	11.597981	19.910854	26.584924	0.570841	0.616646	5.184239
7,648	train	H0	H01	20	20	20	10	15	-0.156234	0.224112	-0.211716	-0.208591	0.559906	2.165268	0.759841	-0.208591	0.224112	0.538822	0.04351	0.000209	0.049835	0.266567	0.316216	-0.224652
7,648	train	H1	H01	20	20	20	20	30	-0.360109	0.38094	0.258689	0.258356	0.193824	0.228496	0.187386	-0.360109	0.38094	0.702352	0.066748	0.117246	0.144585	0.020619	0.033236	-0.382147
7,648	train	H0	H01	30	30	20	26.666667	6.666667	-0.160138	0.176403	-0.137881	-0.138854	0.754839	2.451756	0.521647	-0.160138	0.176403	0.484073	0.01928	0.01083	0.031036	0.161127	0.100444	-0.168556
7,648	train	H1	H01	30	30	20	13.333333	20	0.73351	-0.857469	-0.01083	-0.010698	2.282424	2.844341	2.758316	0.73351	0.857469	0.25179	0.000114	0.248164	0.734475	0.821793	0.792514	0.873959
7,648	train	H0	H01	50	50	20	16	22	-0.485937	0.476355	0.458326	0.458436	0.224656	0.723787	0.236549	0.458436	0.476355	0.627914	0.210163	0.21683	0.226521	0.146909	0.13237	-0.484666
7,648	train	H1	H01	50	50	20	20	14	1.190827	-1.207146	-0.787759	-0.794705	2.088752	2.095137	2.043277	-0.794705	1.207146	0.221278	0.631556	1.158209	1.463775	0.002297	0.011438	1.223136
7,648	train	H0	H01	75	75	20	17.333333	25.333333	1.458868	-1.436838	-1.428819	-1.423879	2.147252	2.213456	2.172226	1.458868	1.436838	0.145097	2.027431	2.104706	2.067159	0.918003	0.965824	1.457072
7,648	train	H1	H01	75	75	20	26.666667	22.666667	1.63098	-1.66858	-1.220077	-1.23012	3.592167	5.089053	3.253269	-1.23012	1.66858	0.087881	1.513196	2.490887	2.797265	0.141097	0.188174	1.706683
7,648	train	H0	H01	100	100	20	23	27	0.992778	-1.000148	-0.858206	-0.857103	0.917508	1.856924	1.009181	0.992778	1.000148	0.304104	0.734626	0.86167	0.998939	0.175726	0.152051	1.027673
7,648	train	H1	H01	100	100	20	19	19	1.415743	-1.370914	-1.556932	-1.579442	2.619666	9.108036	2.508677	1.415743	1.556932	0.027888	2.494638	1.944006	1.882819	1.904423	1.75901	1.399322
7,648	train	H0	H01	150	150	20	20.666667	13.333333	-0.249045	0.198443	0.66977	0.666169	0.883347	1.779688	1.144872	-0.249045	0.66977	0.564149	0.443782	0.193534	0.039344	1.075578	1.162304	-0.202509
7,648	train	H1	H01	150	150	20	22	16	0.703171	-0.767741	-0.121839	-0.121674	1.495066	7.093889	2.275765	0.703171	0.767741	0.068965	0.014805	0.164125	0.589811	0.466555	0.536292	0.777732
7,648	train	H0	H01	200	200	20	22.5	21	0.697706	-0.755839	-0.288163	-0.287722	1.535951	1.913984	1.350854	0.697706	0.755839	0.444403	0.082784	0.392104	0.570916	0.12375	0.113076	0.764779
7,648	train	H1	H01	200	200	20	20	19	1.197926	-1.326298	-0.290025	-0.289631	3.828274	9.216255	5.321942	1.197926	1.326298	0.02655	0.083886	0.706209	1.762242	0.839482	0.8753	1.343136
7,648	train	H0	H01	300	300	20	16.666667	23.666667	-0.033896	0.14498	-0.707868	-0.706042	3.368148	3.423281	3.249021	-0.706042	0.707868	0.197008	0.498495	0.024087	0.021011	2.116304	2.106812	-0.145966
7,648	train	H1	H01	300	300	20	15	17.666667	2.91721	-2.950987	-2.515426	-2.528968	7.766062	12.056577	8.611956	2.91721	2.950987	0.002674	6.395682	7.581018	8.731147	2.027639	1.958989	3.002892
7,648	train	H0	H01	500	500	20	22.6	22.6	0.445122	-0.508743	-0.083149	-0.083057	0.749805	1.439889	0.896259	0.445122	0.508743	0.605365	0.006898	0.111469	0.258753	0.193591	0.210142	0.516701
7,648	train	H1	H01	500	500	20	19	19.6	3.189752	-3.238416	-2.454708	-2.463054	10.09231	12.306635	11.484155	3.189752	3.238416	0.001028	6.066635	8.40341	10.519944	0.896627	0.901931	3.282815
7,648	train	H0	H01	1,000	1,000	20	21.7	19.4	-0.080176	0.048394	0.365228	0.365294	0.786014	3.11854	0.533758	-0.080176	0.365228	0.373707	0.13344	0.013338	0.002342	0.432363	0.393875	-0.049284
7,648	train	H1	H01	1,000	1,000	20	19.3	20	4.572904	-4.747658	-2.902758	-2.908348	26.595215	31.786798	30.624183	4.572904	4.747658	0	8.458487	16.064321	22.607078	0.031657	0.026995	4.821698
7,648	train	H0	H01	20	20	30	60	20	-2.185504	2.040937	2.448839	2.454311	6.488304	8.737031	6.38252	2.454311	2.448839	0.030404	6.023644	4.866082	4.159431	6.063174	5.84358	-2.164785
7,648	train	H1	H01	20	20	30	30	30	0.066474	-0.030732	-0.235737	-0.232663	0.183525	1.31178	0.256084	-0.232663	0.235737	0.726338	0.054132	0.02255	0.000235	0.085871	0.130528	0.01218
7,648	train	H0	H01	30	30	30	30	33.333333	0.363359	-0.476902	0.083448	0.083354	2.244582	5.655869	1.873572	0.083354	0.476902	0.129608	0.006948	0.096727	0.226334	0.671666	0.533961	0.455251
7,648	train	H1	H01	30	30	30	33.333333	36.666667	0.207748	-0.289785	0.005038	0.004988	0.48989	0.596353	0.45158	0.207748	0.289785	0.770625	0.000025	0.040404	0.083515	0.227652	0.198845	0.291557
7,648	train	H0	H01	50	50	30	32	34	0.242414	-0.078942	-0.622023	-0.618058	1.702436	2.425356	1.532546	-0.618058	0.622023	0.464742	0.381996	0.058935	0.006222	1.098117	0.989728	0.090865
7,648	train	H1	H01	50	50	30	24	18	0.562314	-0.622829	-0.201387	-0.199395	0.808193	1.899875	1.015445	0.562314	0.622829	0.52844	0.039758	0.178846	0.387591	0.135616	0.167831	0.630389
7,648	train	H0	H01	75	75	30	32	38.666667	1.215968	-1.18743	-1.299086	-1.300852	1.698317	1.694874	1.69898	-1.300852	1.299086	0.227049	1.692217	1.579245	1.412592	1.155672	1.143837	1.207994
7,648	train	H1	H01	75	75	30	33.333333	29.333333	-0.174062	0.124067	0.296793	0.296435	0.141324	0.555112	0.176446	-0.174062	0.296793	0.89717	0.087873	0.05876	0.015403	0.22114	0.234405	-0.129237
7,648	train	H0	H01	100	100	30	27	28	0.964639	-0.940245	-1.014767	-1.016065	1.037708	2.929171	1.033787	-1.016065	1.014767	0.340789	1.032388	0.890003	0.884217	0.614761	0.573825	0.952608
7,648	train	H1	H01	100	100	30	22	30	1.545677	-1.54008	-1.304949	-1.301454	2.163895	7.801549	2.540648	1.545677	1.54008	0.050296	1.693782	1.865003	2.376589	0.390972	0.311647	1.571624
7,648	train	H0	H01	150	150	30	24.666667	26.666667	-0.251286	0.34446	-0.202754	-0.202063	1.441883	1.531194	1.351092	-0.202063	0.34446	0.508879	0.040829	0.028775	0.118513	0.587166	0.525006	-0.351106
7,648	train	H1	H01	150	150	30	27.333333	31.333333	2.486434	-2.46232	-2.229061	-2.249947	6.044951	6.835117	6.304455	-2.249947	2.46232	0.011547	5.062263	5.61075	6.098423	1.808876	1.853769	2.525697
7,648	train	H0	H01	200	200	30	33.5	31	-0.050572	0.007665	0.106412	0.106302	0.079728	1.498447	0.032435	-0.050572	0.106412	0.682629	0.0113	0.000494	0.000059	0.04042	0.031616	-0.007869
7,648	train	H1	H01	200	200	30	32.5	27	-0.56189	0.53949	0.69488	0.693466	0.523709	0.650703	0.545018	-0.56189	0.69488	0.581155	0.480896	0.401867	0.290894	0.585289	0.596131	-0.551699
7,648	train	H0	H01	300	300	30	28.333333	25.333333	-1.151386	1.120641	1.107137	1.107297	1.355275	1.686673	1.334478	-1.151386	1.120641	0.254052	1.226107	1.321749	1.255802	0.619296	0.663141	-1.140563
7,648	train	H1	H01	300	300	30	32.666667	32.666667	1.219442	-0.955054	-1.825801	-1.854663	7.248171	17.146857	6.285991	-1.854663	1.825801	0.000659	3.439773	1.447474	0.913079	6.404281	6.317649	0.95738
7,648	train	H0	H01	500	500	30	32	28.4	-0.479805	0.356679	0.853066	0.851803	1.329383	1.968039	1.523858	0.851803	0.853066	0.466765	0.725568	0.376406	0.127189	1.486826	1.463782	-0.365482
7,648	train	H1	H01	500	500	30	30.2	29.4	3.16324	-3.455661	-1.842379	-1.845769	16.220531	29.037542	19.675876	3.16324	3.455661	0.000002	3.406862	7.459608	11.999614	0.200931	0.231594	3.537099
7,648	train	H0	H01	1,000	1,000	30	29.6	30.3	-0.090369	0.022962	0.435093	0.434983	1.147385	1.554733	0.95965	0.434983	0.435093	0.618892	0.189211	0.015785	0.000527	0.709526	0.746816	-0.023897
7,648	train	H1	H01	1,000	1,000	30	32	29.6	2.138045	-2.287716	-1.403085	-1.407061	5.694597	20.400487	7.555604	2.138045	2.287716	0.00014	1.979819	3.209027	5.24073	0.000411	0.001046	2.340673

Subsets and Splits

No community queries yet

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