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	H06	20	20	40	60	40	-0.959564	0.798612	1.164033	1.154558	1.799066	2.556069	1.848505	-0.959564	1.164033	0.389893	1.333005	0.985641	0.63569	2.434623	2.641001	-0.859812
7,648	train	H1	H06	20	20	40	65	45	0.378252	-0.573421	-0.161661	-0.164859	0.937382	1.89207	0.997951	-0.164859	0.573421	0.5552	0.027178	0.142152	0.314986	0.383494	0.430857	0.589985
7,648	train	H0	H06	30	30	40	33.333333	30	0.739224	-0.69257	-0.886504	-0.904178	0.953648	1.168676	0.974574	-0.904178	0.886504	0.475049	0.817537	0.662367	0.481918	0.68761	0.701323	0.714288
7,648	train	H1	H06	30	30	40	33.333333	36.666667	0.994762	-0.994779	-0.876656	-0.866966	0.987503	2.189962	1.059392	-0.866966	0.994779	0.305874	0.75163	0.840512	0.988455	0.104907	0.069725	1.023917
7,648	train	H0	H06	50	50	40	44	38	-0.898363	0.991601	0.751468	0.747724	0.955137	1.325179	0.988425	0.747724	0.991601	0.31125	0.559091	0.780973	0.983218	0.118597	0.093853	-1.012602
7,648	train	H1	H06	50	50	40	46	46	1.456369	-1.174015	-1.839106	-1.940622	6.473512	6.484998	6.497994	-1.940622	1.839106	0.038813	3.766014	2.370605	1.406951	5.717361	5.662942	1.210797
7,648	train	H0	H06	75	75	40	36	40	-0.183661	0.188113	0.123614	0.123598	0.036001	1.929537	0.067301	0.123598	0.188113	0.58716	0.015276	0.013782	0.035368	0.004203	0.001766	-0.187435
7,648	train	H1	H06	75	75	40	42.666667	46.666667	1.178972	-1.150192	-1.135401	-1.1393	1.390803	1.385302	1.393503	-1.1393	1.150192	0.235881	1.298004	1.351596	1.325025	0.529236	0.53935	1.185344
7,648	train	H0	H06	100	100	40	46	60	2.094185	-1.894122	-2.242849	-2.247279	5.10485	9.350512	5.167883	2.094185	2.242849	0.024976	5.050264	4.785214	3.601041	4.081242	4.306823	2.006118
7,648	train	H1	H06	100	100	40	44	45	1.107091	-1.040089	-1.138826	-1.14334	1.307408	2.475737	1.310369	-1.14334	1.138826	0.277729	1.307225	1.107969	1.084858	0.760963	0.714823	1.085435
7,648	train	H0	H06	150	150	40	44	46	0.397948	-0.383715	-0.434897	-0.433875	0.189644	0.406523	0.193291	-0.433875	0.434897	0.690909	0.188247	0.19518	0.147082	0.107091	0.115537	0.397621
7,648	train	H1	H06	150	150	40	41.333333	39.333333	0.918625	-1.018053	-0.556395	-0.556843	2.16522	3.852342	1.896697	0.918625	1.018053	0.277856	0.310075	0.858116	1.038626	0.050121	0.017942	1.062321
7,648	train	H0	H06	200	200	40	42	42.5	-0.622014	0.614505	0.584916	0.584986	0.408788	0.708258	0.387772	0.584986	0.614505	0.527532	0.342209	0.415851	0.377548	0.180426	0.189486	-0.631779
7,648	train	H1	H06	200	200	40	46	36.5	0.911195	-1.021378	-0.535495	-0.543387	2.026294	2.063336	2.143725	-0.543387	1.021378	0.283073	0.29527	0.660069	1.045813	0.086947	0.08096	1.073441
7,648	train	H0	H06	300	300	40	36.333333	43	0.106052	0.072557	-0.515037	-0.515478	1.71561	2.863028	1.931786	-0.515478	0.515037	0.380643	0.265718	0.048121	0.005265	1.211334	1.204532	-0.074538
7,648	train	H1	H06	300	300	40	37.333333	40.333333	4.140657	-4.409518	-3.224413	-3.260932	21.487513	27.028615	22.67794	4.140657	4.409518	0.000005	10.633681	15.828556	19.659642	1.155955	1.153156	4.566594
7,648	train	H0	H06	500	500	40	42	42	0.997266	-1.172894	-0.653702	-0.653296	2.02256	2.493627	2.046921	0.997266	1.172894	0.227271	0.426796	1.063583	1.375662	0.019825	0.0336	1.207419
7,648	train	H1	H06	500	500	40	40.6	44.6	4.381671	-4.722043	-3.351301	-3.375972	25.900034	33.862394	27.635366	4.381671	4.722043	0	11.397189	17.576208	22.418702	0.679221	0.669105	4.882442
7,648	train	H0	H06	1,000	1,000	40	39.2	41.6	1.94185	-1.978404	-1.629692	-1.629498	4.517113	5.379933	4.341148	1.94185	1.978404	0.04227	2.655263	3.650985	3.914854	0.456849	0.498626	2.03085
7,648	train	H1	H06	1,000	1,000	40	40.7	41.4	5.646761	-6.072733	-4.298243	-4.342549	42.349324	51.998736	45.000222	5.646761	6.072733	0	18.857733	29.196911	37.102388	1.214671	1.228287	6.286495
7,648	train	H0	H06	20	20	50	45	70	1.705036	-1.347008	-1.999579	-2.006597	6.612926	7.751467	6.532074	-2.006597	1.999579	0.038157	4.026432	2.55556	1.814259	6.075703	5.761208	1.469767
7,648	train	H1	H06	20	20	50	65	25	-0.694562	0.429503	1.217498	1.213114	5.083931	5.171534	5.123156	-0.694562	1.217498	0.077183	1.471646	0.634662	0.184044	4.2923	4.225031	-0.494885
7,648	train	H0	H06	30	30	50	40	50	1.160186	-1.275053	-0.854128	-0.84706	2.691977	2.720181	2.662975	1.160186	1.275053	0.195003	0.717511	1.301369	1.624606	0.001722	0.000628	1.295919
7,648	train	H1	H06	30	30	50	50	60	2.35497	-2.20511	-2.386231	-2.606734	7.380995	9.499622	7.328364	-2.606734	2.386231	0.016212	6.79506	5.77621	4.984708	5.651466	5.554237	2.404098
7,648	train	H0	H06	50	50	50	46	54	0.864699	-0.92383	-0.816106	-0.816243	0.776463	1.709681	0.751791	-0.816243	0.92383	0.3221	0.666253	0.880059	0.852191	0.200544	0.261255	0.990151
7,648	train	H1	H06	50	50	50	62	48	-0.83497	0.050128	1.580953	1.597482	9.956307	12.562703	10.386947	1.597482	1.580953	0.005553	2.551948	0.501682	0.00252	8.781468	8.68378	-0.081569
7,648	train	H0	H06	75	75	50	54.666667	40	-2.228265	2.187258	2.160472	2.163279	4.982723	5.012174	4.986363	2.163279	2.187258	0.023461	4.679778	4.991913	4.800722	2.328692	2.406653	-2.265846
7,648	train	H1	H06	75	75	50	46.666667	46.666667	1.094165	-1.386241	-0.655626	-0.653582	2.529141	5.351291	2.938111	-0.653582	1.386241	0.147809	0.42717	1.095891	1.925884	0.14236	0.14742	1.437922
7,648	train	H0	H06	100	100	50	53	55	0.079425	-0.034309	-0.154266	-0.153829	0.11362	1.706636	0.14457	-0.153829	0.154266	0.635459	0.023663	0.019216	0.001176	0.063508	0.098527	0.037626
7,648	train	H1	H06	100	100	50	53	54	2.159568	-2.543104	-1.523332	-1.535872	11.779315	12.366671	11.975772	-1.535872	2.543104	0.002509	2.358903	4.720831	6.539002	0.056628	0.044888	2.642175
7,648	train	H0	H06	150	150	50	55.333333	50.666667	-0.90941	0.904959	0.904395	0.901399	0.816973	3.261436	0.832348	0.901399	0.904959	0.350349	0.81252	0.719953	0.818992	0.530383	0.452262	-0.933913
7,648	train	H1	H06	150	150	50	49.333333	56.666667	3.683363	-3.724308	-3.44821	-3.602066	13.953689	20.433424	14.112074	-3.602066	3.724308	0.000109	12.974879	13.467215	14.028093	6.260187	6.220565	3.870688
7,648	train	H0	H06	200	200	50	47.5	47	-0.259501	0.384584	0.037619	0.037558	0.97042	5.830163	0.73808	0.037558	0.384584	0.120172	0.001411	0.128661	0.147817	0.19466	0.156122	-0.395016
7,648	train	H1	H06	200	200	50	44.5	48	3.014566	-3.117588	-2.622984	-2.672849	10.087365	10.220478	10.180216	3.014566	3.117588	0.001106	7.144122	8.882041	9.780089	1.792503	1.834686	3.262021
7,648	train	H0	H06	300	300	50	49.333333	50	0.22747	-0.165313	-0.381184	-0.380528	0.521421	2.307479	0.427976	-0.380528	0.381184	0.51109	0.144801	0.039747	0.027319	0.332217	0.271894	0.171968
7,648	train	H1	H06	300	300	50	50.666667	46.333333	3.058555	-3.290286	-2.567837	-2.645109	10.539151	14.149782	11.10467	3.058555	3.290286	0.0005	6.996603	9.125783	10.933671	1.19429	1.21125	3.480788
7,648	train	H0	H06	500	500	50	51.2	49.2	-0.433889	0.379152	0.520904	0.520689	0.333493	0.747321	0.360968	0.520689	0.520904	0.696201	0.271117	0.232951	0.143751	0.41764	0.432653	-0.390454
7,648	train	H1	H06	500	500	50	46	45.8	4.631979	-4.746441	-4.048777	-4.153921	22.817181	23.972422	23.412317	4.631979	4.746441	0.000001	17.255058	20.93276	22.747043	4.754691	4.781818	4.947996
7,648	train	H0	H06	1,000	1,000	50	49.7	49.2	-0.407112	0.502648	0.324089	0.324252	0.176523	3.55157	0.242849	0.324252	0.502648	0.314135	0.105139	0.135467	0.252626	0.007732	0.006163	-0.518279
7,648	train	H1	H06	1,000	1,000	50	52.3	50.1	4.945921	-5.548517	-3.787767	-3.861879	40.091167	48.078162	41.628839	4.945921	5.548517	0	14.914107	23.937738	30.98928	0.363453	0.36846	5.823672
7,648	train	H0	H07	20	20	0	0	0	-1.271354	1.271354	1.04441	1.045939	2.01154	3.829811	1.65786	-1.271354	1.271354	0.197903	1.093989	1.636785	1.621284	0.240756	0.490752	-1.28755
7,648	train	H1	H07	20	20	0	0	0	1.163154	-1.163154	-1.055153	-1.040057	1.30098	1.660011	1.353173	-1.040057	1.163154	0.238808	1.081718	1.28462	1.35235	0.320074	0.307052	1.177972
7,648	train	H0	H07	30	30	0	0	0	-1.108832	1.108832	1.061405	1.055272	1.145769	3.036088	1.253555	-1.108832	1.108832	0.263486	1.113599	1.121172	1.228099	0.634391	0.547875	-1.118189
7,648	train	H1	H07	30	30	0	0	0	1.271461	-1.271461	-1.45213	-1.471759	2.241993	4.480589	2.175988	1.271461	1.45213	0.199776	2.166075	1.813459	1.623176	1.594482	1.464348	1.28219
7,648	train	H0	H07	50	50	0	0	0	0.006894	-0.006894	0.896711	0.907991	4.452831	4.680232	4.081789	0.006894	0.896711	0.129912	0.824448	0.112658	0.000047	2.973945	2.812011	0.006929
7,648	train	H1	H07	50	50	0	0	0	0.351585	-0.351585	0.315577	0.313151	1.69135	1.488659	1.808251	0.351585	0.351585	0.404896	0.098063	0.005917	0.12337	0.9562	0.874667	0.353356
7,648	train	H0	H07	75	75	0	0	0	-0.449168	0.449168	-0.052736	-0.052415	1.068909	1.172328	1.035199	-0.449168	0.449168	0.595949	0.002747	0.08149	0.201393	0.283095	0.254516	-0.447658
7,648	train	H1	H07	75	75	0	0	0	1.783516	-1.783516	-1.681581	-1.699227	2.957095	9.096006	3.265662	1.783516	1.783516	0.028041	2.887372	2.937038	3.199623	1.356019	1.233615	1.777521
7,648	train	H0	H07	100	100	0	0	0	2.269908	-2.269908	-2.554244	-2.61618	6.938692	7.58098	6.855234	2.269908	2.554244	0.02287	6.8444	5.806188	5.178484	5.199069	5.131008	2.275604
7,648	train	H1	H07	100	100	0	0	0	0.217462	-0.217462	-0.932522	-0.934767	2.544492	2.53589	2.456611	0.217462	0.932522	0.292788	0.873789	0.243684	0.047208	1.955015	1.861603	0.218007
7,648	train	H0	H07	150	150	0	0	0	0.1198	-0.1198	0.051547	0.051707	0.816162	7.555916	0.118749	0.051707	0.1198	0.056139	0.002674	0.051367	0.01435	0.043871	0.018599	0.120001
7,648	train	H1	H07	150	150	0	0	0	0.087854	-0.087854	-0.428425	-0.426914	0.605079	0.929337	0.516212	0.087854	0.428425	0.772513	0.182256	0.043238	0.007708	0.382792	0.334835	0.088
7,648	train	H0	H07	200	200	0	0	0	0.236995	-0.236995	0.919208	0.92481	6.044305	6.169549	5.585509	0.236995	0.919208	0.061252	0.855274	0.032254	0.056132	3.611908	3.479948	0.237292
7,648	train	H1	H07	200	200	0	0	0	-0.577783	0.577783	0.35017	0.349616	0.886423	3.346399	0.430376	-0.577783	0.577783	0.341237	0.122231	0.360628	0.333615	0.001662	0.010733	-0.578507
7,648	train	H0	H07	300	300	0	0	0	-1.487927	1.487927	0.81789	0.81697	3.169027	3.840579	3.135145	-1.487927	1.487927	0.136443	0.66744	1.686603	2.21504	0.009243	0.012049	-1.489169
7,648	train	H1	H07	300	300	0	0	0	1.731441	-1.731441	-0.89127	-0.890271	4.743694	4.647093	4.535275	1.731441	1.731441	0.083116	0.792583	2.199708	3.000633	0.030846	0.017543	1.732885
7,648	train	H0	H07	500	500	0	0	0	-0.811976	0.811976	0.377899	0.377582	1.337497	1.578835	1.093086	-0.811976	0.811976	0.416572	0.142568	0.520872	0.659242	0.024273	0.027454	-0.812383
7,648	train	H1	H07	500	500	0	0	0	0.187009	-0.187009	0.542057	0.541975	1.863625	1.689506	2.054875	0.187009	0.542057	0.357923	0.293737	0.014552	0.034966	1.314095	1.251617	0.187102
7,648	train	H0	H07	1,000	1,000	0	0	0	0.003098	-0.003098	-0.560351	-0.559991	1.087396	0.916501	1.250563	-0.559991	0.560351	0.535111	0.31359	0.064941	0.00001	0.916687	0.884346	0.003098
7,648	train	H1	H07	1,000	1,000	0	0	0	4.015977	-4.015977	-3.001641	-3.006037	16.548321	16.188729	17.089711	4.015977	4.015977	0.000059	9.036257	14.03244	16.165764	1.587551	1.646418	4.016981
7,648	train	H0	H07	20	20	10	0	5	-1.53879	1.529047	1.189907	1.208783	2.225589	7.301333	2.616513	-1.53879	1.529047	0.062889	1.461157	1.867342	2.360695	0.23575	0.175361	-1.54885
7,648	train	H1	H07	20	20	10	25	20	-0.25146	0.272956	0.221372	0.217897	0.052075	0.741721	0.064419	0.217897	0.272956	0.774824	0.047479	0.059621	0.073871	0.06128	0.03379	-0.286071
7,648	train	H0	H07	30	30	10	13.333333	13.333333	0.049187	-0.022432	-0.36786	-0.363351	0.62279	0.577935	0.651381	-0.363351	0.36786	0.722029	0.132024	0.028587	0.000501	0.323421	0.277408	0.025931
7,648	train	H1	H07	30	30	10	6.666667	10	2.152314	-2.168312	-1.591213	-1.634369	6.306079	9.958896	5.351349	-1.634369	2.168312	0.018919	2.671163	4.488674	4.801055	0.457415	0.738701	2.187202
7,648	train	H0	H07	50	50	10	18	12	-1.622661	1.658752	1.483952	1.484468	2.492109	3.442785	2.640381	-1.622661	1.658752	0.091214	2.203645	2.515872	2.758329	0.922067	0.867927	-1.689029
7,648	train	H1	H07	50	50	10	6	12	1.29122	-1.318665	-0.950001	-0.940406	1.593408	3.243968	1.882587	1.29122	1.318665	0.18137	0.884364	1.376569	1.741687	0.085035	0.060784	1.336549
7,648	train	H0	H07	75	75	10	10.666667	6.666667	0.456582	-0.455399	-0.113055	-0.113024	0.290889	5.938375	0.678805	0.456582	0.455399	0.114647	0.012774	0.052439	0.207256	0.124041	0.18891	0.454102
7,648	train	H1	H07	75	75	10	12	9.333333	1.483218	-1.461959	-1.187997	-1.193878	2.853926	6.525266	2.295676	-1.193878	1.461959	0.088671	1.425346	2.148618	2.13919	0.307258	0.473729	1.467152
7,648	train	H0	H07	100	100	10	8	13	-0.024004	0.025108	-0.05322	-0.052999	0.009613	0.117313	0.028846	-0.024004	0.05322	0.980392	0.002809	0.001156	0.00063	0.006612	0.006657	-0.024577
7,648	train	H1	H07	100	100	10	12	10	0.804193	-0.795729	-0.828922	-0.827758	0.718704	1.087129	0.704766	-0.827758	0.828922	0.420363	0.685184	0.700111	0.632868	0.348945	0.397795	0.805792
7,648	train	H0	H07	150	150	10	9.333333	8.666667	0.186574	-0.201285	0.246716	0.247769	1.686397	3.169766	0.905281	0.247769	0.246716	0.366184	0.06139	0.02793	0.040495	0.433857	0.375872	0.20102
7,648	train	H1	H07	150	150	10	11.333333	6.666667	0.497998	-0.502675	-0.3318	-0.331073	0.437808	0.560148	0.310652	-0.331073	0.502675	0.613851	0.109609	0.256115	0.252639	0.001769	0.001773	0.504584
7,648	train	H0	H07	200	200	10	10.5	11	0.786141	-0.793867	-0.556813	-0.555501	0.632125	0.960072	0.726245	-0.555501	0.793867	0.422836	0.308582	0.485006	0.629961	0.016411	0.012495	0.801511
7,648	train	H1	H07	200	200	10	12	8.5	1.751799	-1.777516	-1.168995	-1.170734	4.319358	4.773283	3.866721	1.751799	1.777516	0.073476	1.370617	2.72436	3.166573	0.050579	0.079936	1.789861
7,648	train	H0	H07	300	300	10	11.666667	11.333333	0.113113	-0.097686	-0.470764	-0.470858	0.853715	1.315581	0.731866	-0.470858	0.470764	0.693549	0.221708	0.05079	0.009539	0.552235	0.534192	0.098018
7,648	train	H1	H07	300	300	10	8.333333	7	0.588763	-0.553658	-1.057824	-1.0608	1.707569	1.683232	1.720536	-1.0608	1.057824	0.423049	1.125296	0.586417	0.306432	1.642614	1.612295	0.555372
7,648	train	H0	H07	500	500	10	8.4	10.2	-0.093689	0.07794	0.414889	0.415775	0.923913	2.374934	0.549976	0.415775	0.414889	0.498318	0.172869	0.014749	0.006072	0.472106	0.439344	-0.079087
7,648	train	H1	H07	500	500	10	10.4	10.6	1.353826	-1.3558	-1.081891	-1.080618	2.016887	2.05086	1.911453	1.353826	1.3558	0.172058	1.167734	1.725173	1.838742	0.228031	0.244708	1.365622
7,648	train	H0	H07	1,000	1,000	10	9.9	10.9	-0.334228	0.345252	0.048081	0.048058	0.929073	2.948504	0.422713	-0.334228	0.345252	0.399633	0.00231	0.121765	0.119182	0.079401	0.070863	-0.347286
7,648	train	H1	H07	1,000	1,000	10	8.7	10.2	2.410255	-2.353006	-3.141433	-3.156569	11.178266	12.164437	10.81072	-3.156569	3.141433	0.004492	9.963925	7.116977	5.539993	10.046536	9.959847	2.366247
7,648	train	H0	H07	20	20	20	30	25	-1.137936	1.259682	0.693756	0.688532	3.00513	4.927498	2.725646	-1.137936	1.259682	0.177184	0.474076	1.176102	1.585748	0.073199	0.023707	-1.25693
7,648	train	H1	H07	20	20	20	25	25	-1.360854	1.432623	0.813512	0.810963	3.759849	4.097554	3.60304	-1.360854	1.432623	0.145485	0.657662	1.495048	2.070428	0.096012	0.051861	-1.455665
7,648	train	H0	H07	30	30	20	6.666667	23.333333	0.489673	-0.454328	-0.956169	-0.945715	1.577084	2.705849	1.801069	-0.945715	0.956169	0.406352	0.894377	0.510876	0.205797	1.44371	1.565602	0.47621
7,648	train	H1	H07	30	30	20	16.666667	13.333333	-0.128167	0.115912	-0.044982	-0.044721	0.386143	4.266139	0.177581	-0.044721	0.115912	0.234123	0.002	0.015456	0.013357	0.03262	0.008162	-0.128804
7,648	train	H0	H07	50	50	20	26	30	0.687673	-0.645124	-0.79215	-0.788162	0.62148	1.691901	0.640174	-0.788162	0.79215	0.504838	0.621199	0.606649	0.415727	0.459908	0.525991	0.666896
7,648	train	H1	H07	50	50	20	20	14	-0.085216	0.159416	-0.350837	-0.354054	0.978328	2.449289	1.239906	-0.354054	0.350837	0.484525	0.125354	0.006073	0.025385	0.677953	0.714708	-0.16509
7,648	train	H0	H07	75	75	20	25.333333	20	0.091215	-0.075023	-0.165728	-0.165212	0.03955	0.582003	0.055371	-0.165212	0.165728	0.90054	0.027295	0.019041	0.005617	0.022487	0.044732	0.074233
7,648	train	H1	H07	75	75	20	34.666667	17.333333	-0.977499	0.908599	0.961056	0.954459	1.084667	2.425693	0.972801	-0.977499	0.961056	0.354256	0.910992	1.047348	0.823616	0.513374	0.612299	-0.926366
7,648	train	H0	H07	100	100	20	18	23	-0.254497	0.324974	-0.424274	-0.422351	2.522602	2.933751	2.855965	-0.422351	0.424274	0.239792	0.178381	0.000182	0.105637	1.375166	1.316125	-0.323538
7,648	train	H1	H07	100	100	20	16	15	1.938818	-1.943298	-1.632829	-1.641828	3.969053	4.011501	3.869817	-1.641828	1.943298	0.048201	2.695601	3.587113	3.800014	0.714924	0.740414	1.975595
7,648	train	H0	H07	150	150	20	24	24.666667	-0.084009	0.043896	0.109688	0.10958	0.02793	0.116021	0.014291	0.10958	0.109688	0.964624	0.012008	0.000348	0.001925	0.023352	0.02497	-0.044352
7,648	train	H1	H07	150	150	20	18	16	1.234717	-1.242012	-0.991289	-0.991457	1.489953	1.638878	1.628193	1.234717	1.242012	0.208403	0.982987	1.295027	1.544264	0.164906	0.164696	1.257968
7,648	train	H0	H07	200	200	20	23.5	20.5	-0.856399	0.892475	0.656536	0.654414	0.746145	1.47176	0.841227	-0.856399	0.892475	0.364593	0.428258	0.656272	0.796045	0.064413	0.054382	-0.906649
7,648	train	H1	H07	200	200	20	18.5	18.5	1.045532	-1.009533	-1.219275	-1.220931	1.56133	2.185117	1.521821	1.045532	1.219275	0.303974	1.490672	1.176865	1.01965	1.200156	1.15481	1.027948
7,648	train	H0	H07	300	300	20	19.666667	20.666667	-0.086487	0.051516	0.348105	0.348105	0.351945	1.263528	0.482063	0.348105	0.348105	0.737811	0.121177	0.049059	0.002653	0.413816	0.428509	-0.052156
7,648	train	H1	H07	300	300	20	21.666667	21	0.918381	-1.009569	-0.22671	-0.226456	2.935408	3.603292	3.321881	0.918381	1.009569	0.18996	0.051282	0.4736	1.019211	0.569588	0.548002	1.02275
7,648	train	H0	H07	500	500	20	22	21	-0.770899	0.828404	0.486815	0.486813	0.769751	2.208525	0.919399	-0.770899	0.828404	0.401835	0.236987	0.483134	0.686184	0.000005	0.000744	-0.838348
7,648	train	H1	H07	500	500	20	22.4	18.8	2.10666	-2.174844	-1.504609	-1.510988	5.422323	5.572406	5.530461	2.10666	2.174844	0.027124	2.283083	3.918348	4.736808	0.131212	0.136413	2.209725
7,648	train	H0	H07	1,000	1,000	20	20	18.3	-0.714586	0.681023	0.916807	0.91619	0.89438	1.081238	0.928986	-0.714586	0.916807	0.490667	0.839405	0.661563	0.463755	0.916289	0.933685	-0.689249
7,648	train	H1	H07	1,000	1,000	20	21.6	19.4	1.433881	-1.459536	-1.098203	-1.09926	2.463152	2.542994	2.350469	-1.09926	1.459536	0.139368	1.208372	1.92532	2.131134	0.147603	0.147578	1.478149

Subsets and Splits

No community queries yet

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