Datasets:

kshitijd
/

mmu-l2-provabgs

object_id large_string	split large_string	n_samples int64	n_params int64	theta0_q16 float64	theta0_q50 float64	theta0_q84 float64	theta1_q16 float64	theta1_q50 float64	theta1_q84 float64	theta2_q16 float64	theta2_q50 float64	theta2_q84 float64	theta3_q16 float64	theta3_q50 float64	theta3_q84 float64	theta4_q16 float64	theta4_q50 float64	theta4_q84 float64	theta5_q16 float64	theta5_q50 float64	theta5_q84 float64	theta6_q16 float64	theta6_q50 float64	theta6_q84 float64	theta7_q16 float64	theta7_q50 float64	theta7_q84 float64	theta8_q16 float64	theta8_q50 float64	theta8_q84 float64	theta9_q16 float64	theta9_q50 float64	theta9_q84 float64	theta10_q16 float64	theta10_q50 float64	theta10_q84 float64	theta11_q16 float64	theta11_q50 float64	theta11_q84 float64	theta12_q16 float64	theta12_q50 float64	theta12_q84 float64	LOG_MSTAR float64	Z_HP float64	Z_MW float64	TAGE_MW float64	AVG_SFR float64
39633448888962529	train	100	13	10.173539	10.263935	10.372555	0.118475	0.225242	0.321625	0.069918	0.179745	0.47349	0.070572	0.202366	0.508178	0.044661	0.196317	0.473218	0.111561	0.468796	0.658476	7.09654	9.172377	11.258591	0.000136	0.000539	0.000819	0.000382	0.000698	0.001346	0.056573	0.213089	1.178423	0.336215	0.444798	0.549643	-0.306511	0.069751	0.505921	0.536356	0.539313	0.546017	10.103481	0.162813	0.001594	9.682904	0.426873
39633448888962649	train	100	13	10.800378	10.832964	10.873101	0.017417	0.056269	0.216778	0.112646	0.357241	0.782163	0.022376	0.200188	0.455841	0.047493	0.152024	0.452585	0.461688	0.84355	0.933151	7.614159	8.80863	10.445934	0.001151	0.003489	0.007227	0.000897	0.001603	0.002785	0.650583	1.489273	2.26711	0.043639	0.107039	0.192394	-0.956906	-0.023483	0.676949	0.532978	0.535146	0.536952	10.628657	0.198966	0.007109	9.07636	0.170088
39633448888962374	train	100	13	11.614702	11.641518	11.653437	0.008031	0.363533	0.855857	0.017854	0.158829	0.452077	0.00849	0.093868	0.534407	0.004825	0.068478	0.309663	0.933966	0.995212	0.999204	10.080768	11.0209	11.270531	0.001261	0.008562	0.011318	0.001866	0.003123	0.004168	0.540065	1.345686	2.288093	0.164571	0.169246	0.189424	-1.983667	-1.959334	-1.912619	0.282226	0.28249	0.283091	11.401571	0.170095	0.004338	11.346313	0.014103
39633448888960531	train	100	13	10.481119	10.666469	10.757533	0.047893	0.279618	0.650498	0.037157	0.223057	0.712299	0.038808	0.076867	0.286471	0.011539	0.101402	0.276191	0.896949	0.96417	0.99475	3.263198	6.306021	8.893035	0.000721	0.001865	0.003909	0.000493	0.001248	0.002954	0.672954	1.417835	2.271898	0.045543	0.101759	0.141595	-1.925219	-1.788682	-1.179661	0.711466	0.718468	0.724109	10.260675	0.278996	0.006495	4.030114	0.045644
39633448888960402	train	100	13	11.111081	11.142494	11.177514	0.017153	0.145138	0.479576	0.015627	0.343524	0.567241	0.013944	0.145511	0.354349	0.043965	0.135154	0.439184	0.94532	0.991567	0.997578	9.037977	9.396266	9.915671	0.001901	0.007079	0.00983	0.001173	0.002034	0.002843	0.397856	1.500984	2.468112	0.09962	0.137109	0.181407	-1.234298	-0.892547	-0.136183	0.630388	0.633336	0.637234	10.906805	0.311171	0.009012	9.485873	0.221693
39633448888960166	train	100	13	11.791006	12.084938	12.268365	0.281821	0.542004	0.815642	0.048424	0.161297	0.431451	0.009906	0.1142	0.413647	0.01839	0.046611	0.149342	0.486547	0.675703	0.82344	5.397148	7.495726	8.846857	0.000485	0.00801	0.012919	0.002072	0.005588	0.010725	0.054845	0.243202	0.477843	1.766933	2.459277	2.597151	0.536378	0.782763	0.855233	0.30668	0.309158	0.3125	11.858919	0.405034	0.016412	8.129736	26.084337
39633448888960977	train	100	13	11.374868	11.431571	11.481837	0.12271	0.26879	0.375205	0.0272	0.140414	0.345211	0.045352	0.217916	0.461277	0.099383	0.255648	0.64708	0.725369	0.830494	0.88887	9.968516	10.592551	11.245071	0.000197	0.000415	0.000595	0.001082	0.00153	0.002529	0.023759	0.066766	0.134844	0.724749	0.81485	0.892161	-0.119649	0.018031	0.148517	0.206332	0.206782	0.20711	11.202212	0.198878	0.00335	10.504606	3.175134
39633448888960849	train	100	13	10.604355	10.747356	10.802172	0.030749	0.170603	0.647179	0.090672	0.325432	0.798597	0.009164	0.088909	0.326046	0.008558	0.047927	0.271435	0.871012	0.969729	0.993873	3.818964	7.301414	8.683869	0.001506	0.002896	0.005354	0.000797	0.001838	0.002898	0.614534	1.545776	2.486214	0.045371	0.078721	0.118831	-1.897253	-1.794014	-1.473786	0.437246	0.439353	0.441007	10.505026	0.197718	0.005823	7.940722	0.054215
39633448888961031	train	100	13	10.098693	10.354903	10.464466	0.058867	0.114156	0.730562	0.002546	0.011212	0.057477	0.171994	0.483432	0.588907	0.08624	0.285349	0.379679	0.020075	0.081007	0.241412	0.868742	3.925171	4.838471	0.000123	0.00018	0.00023	0.000426	0.000526	0.001552	0.085753	0.449678	0.90173	0.016088	0.056517	0.275213	-1.60916	-0.577016	0.873201	0.120986	0.12184	0.122032	10.213727	0.070679	0.001238	8.835381	0.448848
39633448888960778	train	100	13	11.116825	11.173738	11.223231	0.00098	0.004874	0.012303	0.275873	0.600538	0.883909	0.01946	0.128242	0.399501	0.060048	0.206784	0.510352	0.145449	0.438561	0.754523	3.356429	4.985131	7.030449	0.001222	0.001727	0.002802	0.00176	0.002782	0.003713	0.486965	1.413983	2.328802	0.070506	0.086822	0.119902	-1.945852	-1.826018	-1.615999	0.618883	0.621198	0.623668	10.93772	0.31416	0.009291	7.044222	0.131554
39633448888960022	train	100	13	11.263817	11.290041	11.316544	0.031642	0.112855	0.27581	0.114731	0.539024	0.69807	0.018162	0.104303	0.36662	0.022408	0.163772	0.357151	0.601251	0.819308	0.882111	10.048228	10.429937	10.973321	0.000823	0.009844	0.013421	0.000376	0.001011	0.001446	0.027255	0.136922	1.510359	0.39675	0.424855	0.448795	-1.229084	-1.073783	-0.899193	0.345874	0.346796	0.34833	11.030136	0.222222	0.007498	9.137075	0.93665
39633448888959967	train	100	13	10.372616	10.500646	10.655047	0.254024	0.434525	0.840801	0.049896	0.184567	0.374417	0.010375	0.107179	0.309198	0.02693	0.08034	0.211471	0.394855	0.721528	0.854834	6.310001	9.534063	10.835722	0.000367	0.000679	0.001265	0.00069	0.001843	0.003873	0.110845	0.3123	0.809667	0.420265	0.527575	0.692498	-0.379861	-0.035891	0.528438	0.430666	0.43597	0.440796	10.431067	0.22246	0.001775	9.466071	0.684441
39633448888959849	train	100	13	11.641575	11.719902	11.86757	0.325869	0.593148	0.819415	0.047882	0.106834	0.275597	0.014091	0.080375	0.277107	0.015876	0.066131	0.224491	0.664558	0.757297	0.853204	6.113778	7.203453	8.29177	0.000198	0.0004	0.000602	0.001136	0.0053	0.011355	0.049974	0.224855	0.670896	1.202688	1.330333	1.738863	0.03593	0.22245	0.395192	0.576387	0.581674	0.587406	11.410341	0.491048	0.004592	7.085512	15.748755
39633448888961915	train	100	13	10.529736	10.725918	10.928915	0.231804	0.486179	0.610341	0.083576	0.213031	0.397214	0.021379	0.120058	0.280883	0.041313	0.122397	0.271122	0.222717	0.505762	0.816899	5.438576	9.105721	10.592805	0.000462	0.000626	0.000957	0.000587	0.001095	0.003322	0.701205	1.893152	2.72978	0.677112	0.848022	0.975931	-0.483439	0.134533	0.451302	0.27796	0.280632	0.282771	10.691798	0.197685	0.002161	9.422686	1.473142
39633448888962294	train	100	13	11.061817	11.099578	11.106599	0.018723	0.192557	0.725073	0.069049	0.362217	0.67458	0.024747	0.163921	0.362149	0.013584	0.048859	0.31228	0.960608	0.987391	0.996214	9.470461	10.815428	11.118791	0.002675	0.006899	0.012201	0.001205	0.002425	0.002914	0.386283	1.434832	2.621328	0.03039	0.041432	0.070938	-1.936261	-1.75213	-1.397845	0.493641	0.495187	0.496404	10.854289	0.198616	0.00412	11.052127	0.026619
39633448888962232	train	100	13	11.274766	11.362023	11.40435	0.001717	0.037949	0.352451	0.044386	0.228251	0.482377	0.081055	0.255175	0.414372	0.028099	0.325502	0.677027	0.456035	0.974856	0.996633	5.306091	6.714635	9.359794	0.000357	0.001589	0.003861	0.001872	0.002631	0.003236	2.629145	2.823311	2.962439	0.043951	0.068808	0.082025	-1.990275	-1.935101	-1.813692	0.295392	0.296093	0.296574	11.175219	0.177963	0.006508	10.065468	0.001378
39633448888961855	train	100	13	10.761508	10.840259	10.893856	0.277369	0.643312	0.877578	0.011195	0.110401	0.270035	0.006589	0.080838	0.266554	0.020291	0.067295	0.249758	0.737213	0.858039	0.907777	7.065706	9.250384	10.783637	0.000138	0.00032	0.000571	0.000509	0.000769	0.001218	0.051992	0.35535	1.454624	0.178449	0.230022	0.261656	-1.087581	-0.700385	-0.273434	0.240891	0.24201	0.243284	10.583117	0.198873	0.001623	9.315017	1.621386
39633448888962044	train	100	13	10.513199	10.560241	10.573914	0.086312	0.188792	0.328807	0.015042	0.069722	0.28016	0.081818	0.301311	0.629384	0.043931	0.267466	0.653091	0.330038	0.692643	0.80178	8.875755	10.277558	11.034375	0.000134	0.000225	0.000453	0.000559	0.00068	0.000803	0.043814	0.185534	0.590806	0.019554	0.050389	0.093717	-0.469763	0.038949	0.615537	0.247816	0.249445	0.250935	10.330279	0.177847	0.001745	9.451579	0.510981
39633448888961316	train	100	13	11.127912	11.240042	11.328431	0.120065	0.188035	0.344078	0.074281	0.315912	0.637952	0.0498	0.21039	0.479675	0.033249	0.116574	0.364546	0.201679	0.409715	0.576629	4.834557	6.907431	8.671875	0.000194	0.000452	0.000829	0.00186	0.005337	0.008267	0.06314	0.265057	1.304934	0.519709	0.68629	0.879494	-0.413924	0.009978	0.261597	0.369912	0.373896	0.377169	10.994191	0.365572	0.014643	7.868544	4.85935
39633448888961213	train	100	13	10.797448	10.917579	11.102549	0.633478	0.901287	0.958634	0.011282	0.032085	0.175566	0.001855	0.015764	0.100721	0.00494	0.027898	0.085153	0.074182	0.363218	0.512672	9.619848	11.027899	12.804227	0.000247	0.009182	0.012195	0.000588	0.004081	0.008529	0.001462	0.004361	0.023281	0.363677	0.68419	0.81823	0.917554	0.971287	0.997301	0.309113	0.310541	0.311589	10.699667	0.232815	0.008289	6.834804	8.577632
39633448888961649	train	100	13	10.140573	10.301528	10.427002	0.47881	0.757072	0.929906	0.021169	0.088533	0.262807	0.004469	0.031088	0.145298	0.008985	0.034696	0.13634	0.174528	0.446955	0.736286	7.23029	9.686516	11.546946	0.000147	0.000371	0.000604	0.000865	0.003547	0.009635	0.378594	1.2156	2.150866	0.408775	0.574101	0.649516	-1.05874	-0.735936	-0.424511	0.326753	0.329552	0.333153	10.162953	0.198459	0.001568	9.277574	1.41991
39633448888960614	train	100	13	9.294479	9.459963	9.692624	0.192919	0.526436	0.812983	0.052882	0.11786	0.31023	0.016331	0.123484	0.436008	0.023733	0.097166	0.202509	0.095601	0.3564	0.587679	12.541562	12.762493	12.99182	0.000312	0.000447	0.000631	0.000818	0.002348	0.007228	0.097394	0.242318	1.294268	0.09921	0.201661	0.265815	-1.882349	-1.623343	-1.296701	0.6277	0.633903	0.63994	9.219332	0.099098	0.002858	8.564934	0.111075
39633448888960316	train	100	13	11.727385	11.821216	11.94359	0.080694	0.307793	0.656403	0.095996	0.311911	0.617572	0.017077	0.096356	0.317557	0.029563	0.094005	0.304466	0.968644	0.988475	0.996289	8.369358	9.181937	9.578766	0.002367	0.006535	0.010938	0.001736	0.00263	0.003354	0.831727	1.616855	2.545935	0.28684	0.43339	0.710251	-0.190297	0.38564	0.677028	0.312451	0.313519	0.315596	11.71712	0.365342	0.010419	9.289826	0.122677
39633448888959881	train	100	13	11.835997	11.869078	11.886007	0.056567	0.290209	0.682212	0.08863	0.227938	0.628012	0.035249	0.121949	0.344126	0.032574	0.10522	0.249865	0.88619	0.977202	0.992239	8.552954	9.060595	9.412077	0.000284	0.003233	0.009161	0.000846	0.001739	0.00258	0.35457	1.143228	2.607799	0.130031	0.143489	0.170283	-1.822843	-1.633511	-1.322782	0.31102	0.312079	0.313306	11.642683	0.367604	0.006612	9.217498	1.662839
39633448888960464	train	100	13	10.865085	10.886137	10.917706	0.667865	0.828349	0.949168	0.007367	0.061524	0.176343	0.002641	0.025519	0.108774	0.002055	0.017679	0.065458	0.875031	0.901475	0.91544	11.239293	11.450116	11.55835	0.000124	0.000184	0.000225	0.0026	0.00333	0.003731	0.004845	0.017092	0.063822	0.257057	0.307562	0.346082	-0.044968	0.23811	0.486455	0.25472	0.255604	0.256439	10.643888	0.169913	0.003616	10.696339	1.505134
39633448888960408	train	100	13	11.666059	11.731959	11.767102	0.052089	0.190651	0.569452	0.08721	0.322392	0.571235	0.03963	0.104071	0.343199	0.015751	0.105226	0.311165	0.91835	0.970564	0.992018	5.895857	7.561857	8.843991	0.002305	0.003429	0.006059	0.000589	0.00108	0.001709	0.672022	1.348755	2.31648	0.147875	0.176034	0.224395	-1.948918	-1.852679	-1.671749	0.329463	0.330903	0.331709	11.478869	0.364546	0.005594	7.990026	0.132843
39633448888960169	train	100	13	10.999874	11.066262	11.143844	0.029108	0.087658	0.156401	0.006614	0.017933	0.046916	0.02899	0.102044	0.486146	0.463903	0.770664	0.898505	0.117768	0.565739	0.748369	9.058282	10.001376	10.609804	0.000344	0.000521	0.000607	0.00054	0.000715	0.000849	0.016672	0.077347	0.187816	1.513583	1.642465	1.711321	-0.040711	0.086433	0.182674	0.697429	0.700992	0.704228	10.811871	0.196878	0.001833	9.422388	1.740495
39633451392961377	train	100	13	11.366076	11.45781	11.562906	0.113997	0.18654	0.281146	0.014971	0.119656	0.306771	0.146277	0.392034	0.544665	0.092212	0.236499	0.422547	0.26322	0.554199	0.636007	7.45634	9.389766	10.07137	0.000199	0.000387	0.000635	0.00127	0.002312	0.004123	0.049311	0.107946	0.29852	0.655451	0.857844	1.029964	0.230021	0.513713	0.723696	0.273378	0.275424	0.276808	11.155734	0.304541	0.006319	8.472738	6.853702
39633451392962403	train	100	13	11.214466	11.364139	11.638046	0.452198	0.60565	0.816277	0.020459	0.158686	0.362802	0.0035	0.041025	0.15597	0.012228	0.056939	0.182873	0.268291	0.451316	0.631213	4.394496	8.040024	9.222987	0.000377	0.000596	0.001164	0.003633	0.008015	0.012522	0.127052	0.244069	0.591933	0.944398	1.412954	1.892059	0.199547	0.511862	0.661067	0.374765	0.378387	0.381326	11.530248	0.399637	0.020863	7.520669	28.51133
39633451392961430	train	100	13	11.089043	11.144903	11.176381	0.055256	0.483694	0.854446	0.035643	0.233318	0.503349	0.010499	0.04084	0.30626	0.013856	0.059564	0.266194	0.964768	0.987809	0.998245	7.313479	9.114828	10.135452	0.000805	0.003676	0.008632	0.001302	0.001983	0.00318	0.179705	0.712306	2.032797	0.225528	0.255331	0.294407	-1.443972	-1.284808	-1.192142	0.340037	0.340736	0.341611	10.951963	0.143797	0.007482	10.041942	0.126174
39633451392961251	train	100	13	11.451117	11.489676	11.510766	0.143565	0.280518	0.437531	0.089529	0.241919	0.585299	0.039814	0.216929	0.489446	0.012818	0.135968	0.307284	0.754186	0.916961	0.955106	9.131826	10.488907	11.006926	0.000117	0.000187	0.000531	0.002899	0.003757	0.004838	0.031739	0.118838	1.197392	0.376923	0.403672	0.43257	-1.014234	-0.820076	-0.715701	0.295055	0.296081	0.296586	11.258473	0.192242	0.008857	9.817185	1.783959
39633451397154014	train	100	13	11.16882	11.215848	11.229607	0.017807	0.091637	0.255329	0.084062	0.358911	0.605631	0.074151	0.22897	0.502335	0.097614	0.2034	0.37932	0.900347	0.981674	0.992384	9.515903	10.798481	11.204538	0.00323	0.008669	0.012502	0.002382	0.003889	0.00514	0.599099	1.947965	2.737115	0.162629	0.177025	0.213248	-1.272049	-1.002631	-0.68475	0.388367	0.389046	0.390139	10.981796	0.193554	0.011232	10.047326	0.012162
39633451397153857	train	100	13	11.143895	11.17243	11.203043	0.009907	0.063962	0.178812	0.163535	0.402442	0.691976	0.016809	0.211358	0.491262	0.043166	0.172337	0.417465	0.844936	0.93993	0.982373	10.253605	10.941317	11.206896	0.002237	0.007104	0.012627	0.004855	0.006126	0.008352	0.608688	1.552128	2.43958	0.166668	0.216774	0.297925	-0.652206	-0.338611	0.148949	0.456888	0.457894	0.459537	10.95864	0.199658	0.008932	11.149478	0.014918
39633451397154099	train	100	13	11.557542	11.603219	11.623183	0.002274	0.019727	0.053696	0.024913	0.106523	0.449339	0.151915	0.390189	0.716869	0.116311	0.37198	0.602052	0.519326	0.885033	0.973296	9.120006	10.154096	11.080564	0.003236	0.008671	0.012442	0.001378	0.00243	0.004072	0.465043	1.476601	2.309581	0.135594	0.157733	0.179233	-1.36582	-1.158822	-0.89913	0.162007	0.162563	0.162951	11.334178	0.19687	0.006689	8.841653	0.074253
39633451397154039	train	100	13	10.837271	10.924692	10.952157	0.019115	0.220837	0.521285	0.209794	0.345821	0.594402	0.07103	0.163984	0.349957	0.039072	0.085005	0.408814	0.968707	0.992996	0.997562	7.050607	9.492694	10.32154	0.001427	0.003945	0.009774	0.000806	0.002018	0.002946	0.653807	1.902037	2.717415	0.015883	0.038736	0.05925	-1.843204	-1.405434	-0.8603	0.461907	0.463243	0.464405	10.708337	0.196931	0.006713	10.061726	0.00838
39633451397154727	train	100	13	9.254817	9.312921	9.519335	0.623366	0.866649	0.947886	0.01371	0.059479	0.225484	0.003725	0.028359	0.069398	0.002962	0.017278	0.083491	0.033148	0.13241	0.532396	3.095579	10.383829	12.566143	0.000048	0.000065	0.000088	0.000054	0.000102	0.000236	0.249642	1.182857	2.394232	0.084914	0.205194	0.231021	-1.970495	-1.857909	-1.717893	0.168019	0.170348	0.171613	9.040953	0.079976	0.000279	2.811236	0.421645
39633451397154181	train	100	13	11.420326	11.491715	11.543608	0.024708	0.061279	0.185681	0.129018	0.565315	0.749611	0.017858	0.10597	0.527101	0.03247	0.13503	0.284203	0.237107	0.481536	0.805089	2.864472	4.30378	6.518822	0.00057	0.002283	0.005374	0.001311	0.002696	0.004963	1.139104	1.617613	2.481024	0.237011	0.285519	0.392857	-0.845463	-0.509934	-0.069632	0.452131	0.454825	0.457297	11.301203	0.396407	0.015586	5.526399	0.155213
39633451397154285	train	100	13	11.365961	11.413691	11.612193	0.301498	0.57254	0.907334	0.028636	0.138454	0.410504	0.008313	0.074162	0.264339	0.004633	0.021518	0.16968	0.117702	0.348236	0.604956	2.92418	6.67181	11.087133	0.000322	0.000432	0.000632	0.001956	0.007751	0.011418	0.114612	0.279254	0.624372	0.352162	0.730167	1.081392	-0.074712	0.182444	0.543141	0.4053	0.409061	0.412899	11.195767	0.578812	0.027395	4.543425	23.28513
39633451397153380	train	100	13	11.032498	11.134627	11.291391	0.070924	0.192406	0.320314	0.065293	0.174015	0.376912	0.060254	0.25299	0.452	0.083281	0.278464	0.506272	0.358517	0.726049	0.860575	5.006352	7.781532	10.25067	0.000326	0.000553	0.000901	0.001002	0.001948	0.002493	0.072019	0.264324	1.674057	0.833461	0.906282	1.220212	-0.061071	0.166584	0.445192	0.321596	0.323827	0.324879	10.880466	0.196834	0.004565	8.613897	1.881919
39633451397153251	train	100	13	11.335183	11.367007	11.50184	0.394406	0.670432	0.882926	0.029025	0.079916	0.307619	0.016098	0.069811	0.147712	0.019874	0.060463	0.254253	0.813224	0.884088	0.909228	7.870426	9.126491	9.575657	0.000107	0.000216	0.000514	0.00522	0.008094	0.012495	0.037503	0.088963	0.259468	0.823539	0.957007	1.18297	-0.004767	0.189072	0.464793	0.543968	0.547738	0.553726	11.11768	0.367067	0.018102	8.691783	4.267696
39633451397153112	train	100	13	10.597692	10.665175	10.738638	0.279165	0.438358	0.679141	0.043132	0.219018	0.49373	0.020116	0.061711	0.241144	0.025841	0.100627	0.363776	0.578887	0.760641	0.824451	8.047084	9.001976	11.017922	0.000222	0.000523	0.001019	0.003235	0.004635	0.007042	0.123158	0.578922	1.680435	0.131018	0.192959	0.305604	-1.070488	-0.343469	0.357626	0.341834	0.343605	0.345745	10.458271	0.196307	0.010943	9.292578	1.1878
39633451392962642	train	100	13	10.893422	10.980644	11.075098	0.307834	0.592056	0.885171	0.009389	0.121545	0.368224	0.003578	0.041533	0.162688	0.009695	0.050984	0.241083	0.589071	0.756593	0.823963	3.694248	5.459412	8.360848	0.003309	0.004458	0.008636	0.000671	0.002199	0.005945	1.045569	1.727874	2.603222	0.130384	0.195	0.265094	-1.772793	-1.575643	-1.053053	0.712267	0.716895	0.721285	10.840204	0.360772	0.015958	7.339909	3.477537
39633451392962809	train	100	13	10.688072	10.770134	10.827578	0.144583	0.250851	0.824068	0.058052	0.27893	0.469813	0.006357	0.059234	0.215002	0.017145	0.210199	0.552438	0.031084	0.158006	0.523198	1.34563	2.542	3.263665	0.000386	0.000587	0.006502	0.001654	0.002437	0.004285	0.007862	0.131104	1.94722	0.626667	0.687149	0.771189	-0.594199	-0.408876	-0.293246	0.432563	0.4352	0.437801	10.586867	0.194834	0.00581	6.769457	2.445271
39633451397153701	train	100	13	10.372666	10.42384	10.484555	0.460317	0.675536	0.942904	0.030478	0.144765	0.294597	0.006193	0.048371	0.140418	0.006585	0.043196	0.114052	0.834435	0.906134	0.932287	9.192426	10.28563	11.03448	0.000118	0.000406	0.000608	0.00061	0.000899	0.001349	0.032295	0.129468	1.790556	0.019536	0.087104	0.189327	-0.653719	0.435724	0.841135	0.382962	0.386314	0.38863	10.207823	0.195484	0.001942	9.64091	0.356622
39633451397153512	train	100	13	10.28139	10.346266	10.428591	0.009719	0.058978	0.250844	0.203791	0.40026	0.532907	0.022506	0.250093	0.460124	0.042969	0.201542	0.448718	0.445499	0.756817	0.906015	1.395085	1.776628	2.425354	0.000831	0.001588	0.002445	0.002815	0.007355	0.010047	0.904841	2.338295	2.69284	0.090618	0.163869	0.227127	-1.786468	-1.435906	-1.245917	0.446664	0.44974	0.453057	10.169563	0.196816	0.014032	5.474876	0.005157
39633451397153601	train	100	13	11.405499	11.485036	11.631037	0.072737	0.165875	0.307066	0.13022	0.375892	0.669218	0.047121	0.19706	0.403411	0.043937	0.142198	0.433667	0.418873	0.614634	0.789323	3.523398	6.505265	9.208177	0.000445	0.000834	0.001932	0.000669	0.002933	0.007032	0.249574	0.99346	2.089099	0.629156	0.746166	0.968038	-0.227796	0.220949	0.475126	0.319461	0.321324	0.323541	11.396448	0.351078	0.004172	8.787911	3.691982
39633451397153075	train	100	13	11.392066	11.425668	11.450582	0.003482	0.011588	0.045269	0.076369	0.285346	0.568026	0.122176	0.308448	0.562891	0.104655	0.214806	0.597423	0.354802	0.817384	0.984584	9.239868	10.529571	11.162413	0.003783	0.006782	0.011991	0.000654	0.001798	0.00325	0.207281	0.438937	1.930373	0.243409	0.277202	0.296286	-1.354721	-1.179906	-0.989205	0.24539	0.246398	0.24691	11.156091	0.197779	0.009122	9.149183	0.386818
39633451392962857	train	100	13	10.232534	10.357393	10.418431	0.168557	0.408022	0.701274	0.101637	0.195909	0.420717	0.018289	0.057906	0.213201	0.026476	0.180584	0.358152	0.56057	0.767736	0.865309	4.906415	10.213549	10.952814	0.000187	0.000552	0.000925	0.001649	0.003155	0.005205	0.043472	0.647597	2.634684	0.019273	0.073839	0.212229	-0.90671	0.022621	0.804794	0.506141	0.509694	0.51541	10.181129	0.197198	0.007538	9.247444	0.378442
39633451397152962	train	100	13	11.650956	11.698738	11.722779	0.000601	0.001716	0.00462	0.003145	0.015009	0.057893	0.010688	0.082467	0.394863	0.461001	0.900899	0.975821	0.01804	0.153237	0.675751	3.832617	6.920025	8.603632	0.000356	0.004447	0.005943	0.002199	0.002776	0.003153	0.466502	0.968822	2.323713	0.145065	0.159295	0.172855	-1.872224	-1.658784	-1.605304	0.272763	0.273026	0.273561	11.478314	0.197462	0.007057	9.811635	0.358944
39633451397153041	train	100	13	11.129514	11.16549	11.1738	0.005355	0.033829	0.132399	0.099213	0.430485	0.806979	0.028338	0.200173	0.495645	0.030832	0.122689	0.426349	0.951208	0.994019	0.998533	9.531189	10.682816	10.913616	0.002186	0.004097	0.007833	0.002116	0.003614	0.004199	0.562784	1.290281	2.323176	0.106965	0.113004	0.120461	-1.992147	-1.979413	-1.944574	0.497041	0.498649	0.499892	10.927288	0.198236	0.009061	10.063714	0.001098
39633451397153163	train	100	13	11.01784	11.090344	11.208202	0.048178	0.153794	0.232805	0.076445	0.253433	0.515611	0.043915	0.293	0.521268	0.075358	0.223389	0.437953	0.135821	0.399564	0.795006	5.574679	8.749715	10.089645	0.000304	0.000518	0.000695	0.000293	0.000542	0.001002	0.14622	0.743173	1.846199	0.535619	0.584765	0.680297	-0.918939	-0.723942	-0.352155	0.48446	0.487557	0.490491	10.907198	0.308888	0.002241	8.71839	2.798206
39633451392962287	train	100	13	10.474665	10.511801	10.556903	0.018481	0.069632	0.343199	0.142139	0.41792	0.812184	0.00748	0.1012	0.343499	0.008582	0.197519	0.534206	0.785301	0.966754	0.995828	8.609652	10.26952	11.088053	0.000974	0.005383	0.012117	0.001478	0.002857	0.004725	0.52154	1.581393	2.507332	0.041456	0.058061	0.100336	-1.875577	-1.609158	-0.968121	0.674448	0.680415	0.684722	10.301206	0.177654	0.0102	9.965627	0.00132
39633451392961867	train	100	13	10.59605	10.665783	10.684683	0.084164	0.145649	0.194903	0.021755	0.075668	0.210895	0.046019	0.16344	0.430846	0.223879	0.54689	0.720522	0.169728	0.510826	0.66772	7.408417	9.563583	10.745881	0.000167	0.000425	0.000693	0.001272	0.001688	0.002152	0.017772	0.083741	0.639552	0.014833	0.050602	0.09321	-0.999594	0.11759	0.687517	0.29436	0.296292	0.298048	10.473845	0.19183	0.003247	10.49735	0.768905
39633451392962346	train	100	13	9.747513	9.805724	9.949421	0.70929	0.852552	0.934196	0.01765	0.056185	0.161899	0.00186	0.010042	0.039112	0.008251	0.035371	0.081054	0.030601	0.082564	0.383809	0.191024	7.086899	10.609583	0.000146	0.000294	0.001192	0.0003	0.000768	0.004463	0.027057	0.163954	0.583745	0.004854	0.015011	0.027493	-1.55504	-0.241898	0.697354	0.520892	0.5364	0.541017	9.684684	0.197494	0.001219	6.15456	1.038771
39633451392961947	train	100	13	10.89417	10.950483	10.988722	0.01374	0.037911	0.123911	0.19498	0.43549	0.794569	0.051501	0.176949	0.470774	0.020505	0.14606	0.614644	0.659531	0.877377	0.95308	6.941288	8.767323	9.882145	0.000646	0.003169	0.008014	0.00075	0.002006	0.002884	0.45566	1.515836	2.524729	0.117045	0.138956	0.169482	-1.907338	-1.782949	-1.61053	0.51909	0.521043	0.524198	10.743076	0.197625	0.006311	9.821542	0.230254
39633451392961932	train	100	13	10.795369	10.82418	10.840886	0.010271	0.028582	0.084014	0.09872	0.419827	0.833888	0.035132	0.158655	0.545073	0.028219	0.141139	0.633524	0.635797	0.829957	0.92998	9.817782	10.40638	10.947912	0.006302	0.010828	0.014051	0.000753	0.001272	0.002077	0.484521	1.645192	2.327964	0.136744	0.159948	0.177232	-1.154668	-0.731029	-0.481622	0.7114	0.713486	0.716653	10.559388	0.197434	0.005837	9.539871	0.142255
39633451392961831	train	100	13	10.144263	10.260855	10.375391	0.389043	0.597911	0.806055	0.049592	0.178025	0.372208	0.01256	0.042846	0.127281	0.005543	0.028391	0.35674	0.257343	0.70913	0.836325	7.955935	9.814563	10.900182	0.000175	0.000406	0.000679	0.000356	0.000672	0.00168	0.23737	0.7906	2.096925	0.12116	0.216535	0.311283	-1.155945	-0.104277	0.755949	0.307119	0.310331	0.313117	10.118104	0.167604	0.001176	9.388828	0.423465
39633451392961802	train	100	13	10.658398	10.780293	10.880161	0.130052	0.497652	0.717565	0.093695	0.24164	0.479057	0.036201	0.085796	0.323953	0.012839	0.11712	0.2509	0.765104	0.917072	0.975543	3.740177	5.656211	7.787089	0.000539	0.000996	0.002131	0.00065	0.001709	0.002652	0.221147	1.257328	2.247511	0.216324	0.279605	0.338561	-1.397604	-0.876004	-0.218872	0.457724	0.459456	0.461268	10.529068	0.229747	0.009028	6.259169	0.884864
39633451392962307	train	100	13	11.989637	12.164938	12.377304	0.002408	0.010167	0.044675	0.099879	0.343783	0.78964	0.019218	0.190363	0.514703	0.039825	0.180669	0.501756	0.160675	0.69304	0.959408	4.235104	8.450159	9.212559	0.002433	0.006431	0.01075	0.000339	0.001802	0.003241	0.871575	1.863767	2.693669	0.923454	1.254331	1.628587	0.404411	0.601373	0.745146	0.225907	0.228164	0.229302	12.153537	0.413748	0.011998	7.763282	2.119367
39633451392961992	train	100	13	11.489745	11.617461	11.873349	0.37863	0.61543	0.839473	0.006918	0.133817	0.273581	0.025343	0.125329	0.256742	0.013625	0.092881	0.267565	0.584118	0.83559	0.891686	8.40956	9.727678	10.153161	0.000112	0.000211	0.000637	0.000675	0.000917	0.001825	0.01741	0.054064	0.16909	1.367927	1.580135	2.052462	0.397936	0.520433	0.7349	0.250791	0.252156	0.254496	11.375483	0.277783	0.002216	8.865785	10.542902
39633451392962042	train	100	13	11.256081	11.27903	11.317844	0.135291	0.159086	0.23116	0.005022	0.016824	0.044546	0.010191	0.042783	0.108784	0.583012	0.762079	0.822536	0.537811	0.626164	0.676539	9.322309	10.312041	11.064549	0.000248	0.000318	0.000421	0.003325	0.004098	0.00464	0.007085	0.054593	0.124457	0.605452	0.633993	0.696726	-0.600561	-0.449595	-0.330917	0.156911	0.157192	0.157501	11.038417	0.09909	0.008606	9.697969	3.069382
39633451392961871	train	100	13	11.564202	11.599123	11.709078	0.199773	0.450144	0.723576	0.023458	0.218384	0.402044	0.005106	0.083619	0.329042	0.017708	0.102609	0.273865	0.854223	0.913398	0.951591	7.942715	8.874772	9.489401	0.000166	0.005038	0.011239	0.002271	0.004811	0.006919	0.025539	0.310604	0.929618	0.546574	0.662574	0.89906	-0.193801	0.101193	0.365709	0.443848	0.446134	0.449334	11.388813	0.366912	0.014679	9.099518	2.316678
39633451397153706	train	100	13	10.699503	10.751455	10.787281	0.020687	0.040598	0.08395	0.071359	0.282023	0.622165	0.06907	0.22067	0.458671	0.08886	0.410643	0.56111	0.097071	0.398805	0.757057	6.017288	8.776697	10.657238	0.000174	0.001873	0.007886	0.000543	0.002589	0.004647	0.277975	0.393288	2.044202	0.129555	0.171767	0.218621	-1.744984	-1.245284	-0.622855	0.567072	0.569038	0.572752	10.555564	0.228629	0.008418	9.524974	0.385765
39633451397153004	train	100	13	10.91692	10.974845	11.006368	0.034367	0.173902	0.500604	0.070873	0.382794	0.735043	0.009465	0.118143	0.398774	0.010536	0.076051	0.213514	0.898371	0.969641	0.997491	6.77412	8.350355	9.29351	0.001213	0.005702	0.009336	0.001007	0.002207	0.003142	0.593842	1.510359	2.833322	0.246627	0.270152	0.315804	-1.001224	-0.585193	-0.420819	0.465365	0.466773	0.468636	10.76561	0.197916	0.009898	7.995822	0.000305
39633451397152980	train	100	13	11.00945	11.057292	11.129455	0.043358	0.088905	0.136671	0.008279	0.051354	0.103639	0.095354	0.262499	0.580809	0.213619	0.567924	0.807916	0.064566	0.236629	0.519688	5.686952	9.108922	10.711814	0.000254	0.000476	0.00081	0.000511	0.00061	0.0008	0.047231	0.157761	0.832232	0.170113	0.217269	0.326203	-0.687232	0.070877	0.586005	0.270601	0.271521	0.272893	10.83524	0.195148	0.001628	9.426694	1.666667
39633451397153081	train	100	13	12.145342	12.232679	12.276998	0.514096	0.73877	0.919509	0.008331	0.051779	0.21702	0.006651	0.056151	0.310803	0.009497	0.033465	0.206711	0.678127	0.765847	0.827502	8.064316	8.884736	9.331009	0.000138	0.000174	0.000234	0.010201	0.012607	0.014451	0.006487	0.01969	0.041073	2.858707	2.936041	2.990876	0.79024	0.830002	0.870528	0.547877	0.552325	0.556104	12.069262	0.400099	0.037918	7.077461	80.497887
39633451392962703	train	100	13	10.151123	10.24209	10.278366	0.061181	0.160727	0.281049	0.133705	0.315798	0.653101	0.060781	0.15738	0.493679	0.006183	0.218458	0.464375	0.548495	0.717496	0.836941	8.305305	11.552987	12.268539	0.000358	0.000892	0.001533	0.000702	0.001246	0.002485	0.269441	1.434833	2.375509	0.0079	0.033574	0.115696	-1.13961	-0.102548	0.52333	0.137327	0.13801	0.138592	10.024364	0.079409	0.002196	11.037726	0.098993
39633451392962775	train	100	13	12.07985	12.425722	12.60568	0.02969	0.073261	0.171316	0.124293	0.497033	0.746094	0.027565	0.127586	0.567748	0.043991	0.142372	0.429316	0.189179	0.656126	0.801032	7.159439	8.583592	10.207187	0.000227	0.001036	0.003053	0.002483	0.004349	0.007027	0.127678	0.525469	1.457809	1.614972	2.408856	2.729314	0.689287	0.832876	0.895177	0.388067	0.390996	0.392871	12.377007	0.36683	0.012242	8.918469	19.998716
39633451392962451	train	100	13	11.575528	11.65803	11.72474	0.301763	0.765139	0.923504	0.021673	0.05025	0.114861	0.013141	0.058304	0.217767	0.005319	0.030037	0.370321	0.697168	0.858705	0.897131	9.460317	10.013654	10.112256	0.000422	0.000525	0.000631	0.000937	0.00116	0.002448	0.006911	0.023417	0.045842	1.31838	1.46157	1.599075	0.254909	0.400824	0.468892	0.568376	0.571117	0.573274	11.448589	0.309838	0.002899	8.76722	13.175309
39633451392962432	train	100	13	11.230872	11.332353	11.498498	0.111482	0.30959	0.493628	0.097867	0.304136	0.620273	0.026647	0.1169	0.450484	0.023562	0.081377	0.265369	0.672322	0.827434	0.908649	6.396496	8.770209	10.03402	0.00061	0.005308	0.010104	0.000737	0.002231	0.003887	0.571199	1.46197	2.217352	0.711894	0.884792	1.238125	0.027539	0.324293	0.634646	0.408493	0.411982	0.415869	11.281299	0.30987	0.005879	9.199724	1.219049
39633451392961692	train	100	13	10.499361	10.668954	10.914005	0.271297	0.61199	0.83966	0.044928	0.115214	0.230277	0.011285	0.068882	0.244883	0.025083	0.124266	0.268533	0.412228	0.652331	0.801773	5.999576	8.621737	10.635993	0.000195	0.000422	0.00092	0.001824	0.004711	0.010281	0.063503	0.299922	0.806131	0.468699	1.061142	1.570256	0.419002	0.823373	0.941971	0.399768	0.403957	0.408868	10.618808	0.235746	0.006887	9.051207	1.948987
39633451392962591	train	100	13	10.350933	10.554086	10.593876	0.276347	0.388046	0.680553	0.010519	0.06899	0.279564	0.059375	0.376195	0.554232	0.010478	0.063466	0.191252	0.261358	0.593152	0.696134	9.345451	10.468292	12.209566	0.000518	0.000602	0.00067	0.00088	0.001053	0.002155	0.012812	0.055365	0.200687	0.371133	0.429267	0.568782	-1.168165	-0.898175	-0.704752	0.241696	0.242343	0.243182	10.362826	0.092838	0.002264	9.104769	0.945188
39633451392961465	train	100	13	11.330022	11.511362	11.710333	0.136474	0.267572	0.500617	0.056676	0.216559	0.372467	0.052874	0.227977	0.421841	0.03893	0.130888	0.332722	0.708336	0.82629	0.921619	7.360186	9.021373	9.587886	0.000123	0.00023	0.000538	0.006112	0.007636	0.009537	0.072289	0.198099	0.912665	0.611978	0.963566	1.485795	0.430747	0.640494	0.806511	0.35916	0.362401	0.366662	11.222216	0.351734	0.017355	8.859649	3.521839
39633451392961472	train	100	13	11.334677	11.444365	11.477754	0.023866	0.159778	0.586821	0.059393	0.247676	0.572992	0.038757	0.192655	0.399876	0.038389	0.195036	0.400228	0.955203	0.993962	0.998856	6.616645	10.000537	10.864393	0.000715	0.002468	0.006077	0.003329	0.004208	0.005333	0.267151	0.801345	2.254379	0.245151	0.27627	0.298928	-0.896422	-0.627462	-0.445258	0.439876	0.441044	0.44184	11.233435	0.198813	0.012243	10.055116	0.078645
39633448888959372	train	100	13	11.237919	11.284856	11.387992	0.043806	0.170059	0.554342	0.014919	0.190622	0.51157	0.016585	0.220808	0.516082	0.034953	0.109544	0.333424	0.81823	0.951035	0.990772	1.951715	2.354908	3.654521	0.0008	0.00153	0.002261	0.001394	0.003291	0.007409	0.61529	1.407255	2.816158	0.18517	0.232059	0.292758	-1.68321	-1.411048	-1.25469	0.34198	0.343768	0.344851	11.096622	0.311693	0.009438	3.944839	0.214163
39633448888959442	train	100	13	10.925576	10.97872	10.999856	0.007128	0.091545	0.286398	0.112551	0.449892	0.756862	0.047426	0.154963	0.516449	0.026653	0.161599	0.408063	0.648769	0.919648	0.981366	6.928202	9.37625	9.950898	0.001273	0.004208	0.0096	0.000202	0.00059	0.001018	0.602849	1.206386	2.22564	0.163909	0.21928	0.271903	-1.672303	-1.369638	-0.839495	0.652356	0.656874	0.661862	10.759575	0.307678	0.004009	9.554117	0.003647
39633448888959436	train	100	13	10.990228	11.066133	11.096873	0.008675	0.032504	0.053977	0.09957	0.314149	0.730453	0.032897	0.203869	0.503005	0.063009	0.206823	0.527297	0.679484	0.892933	0.951996	5.519414	7.030512	8.58901	0.000628	0.001675	0.005673	0.001113	0.00288	0.003634	0.423626	1.470427	2.454154	0.103446	0.124332	0.150896	-1.830003	-1.621191	-1.374222	0.506952	0.507886	0.509031	10.799936	0.197119	0.009909	6.43967	0.005633
39633448888959285	train	100	13	11.027816	11.124795	11.185693	0.018949	0.171696	0.497032	0.040856	0.234723	0.64876	0.004991	0.172856	0.550532	0.028717	0.121148	0.321043	0.667551	0.893433	0.98015	5.017095	8.017116	9.917734	0.001102	0.002442	0.006464	0.000379	0.000978	0.002057	0.185875	1.108497	2.270998	0.117693	0.14603	0.199983	-1.706796	-1.440349	-1.050841	0.449511	0.453035	0.456967	10.894694	0.306661	0.004636	7.950101	0.193518
39633448888959275	train	100	13	11.5136	11.5471	11.61385	0.008343	0.059706	0.169106	0.287056	0.536904	0.768709	0.011346	0.165715	0.384718	0.057375	0.155077	0.367236	0.460417	0.88055	0.974533	2.269977	2.683714	3.504212	0.001682	0.00548	0.007861	0.000857	0.005513	0.010284	0.563693	1.686119	2.772842	0.071285	0.093898	0.118757	-1.872785	-1.683767	-1.222171	0.466412	0.468958	0.470903	11.329649	0.490503	0.020192	3.215128	0.180346
39633448888959438	train	100	13	11.139738	11.182879	11.205658	0.068406	0.305053	0.536313	0.081305	0.339008	0.610316	0.032563	0.145271	0.322976	0.015388	0.108677	0.285077	0.895473	0.964402	0.991527	9.303438	10.729981	11.237144	0.001706	0.007085	0.011183	0.001049	0.002679	0.003791	0.562474	1.572632	2.367077	0.27909	0.304974	0.355478	-1.237789	-0.812812	-0.675934	0.348206	0.349041	0.350544	10.937728	0.197681	0.004868	11.111095	0.370106
39633448888959083	train	100	13	11.449618	11.494621	11.526536	0.163186	0.40855	0.878693	0.034232	0.226153	0.475336	0.010666	0.090638	0.224189	0.016419	0.139799	0.35622	0.915558	0.957687	0.982919	6.567256	8.348302	8.863095	0.000171	0.000657	0.001512	0.000367	0.000894	0.001449	0.273889	1.265008	2.3623	0.209092	0.237167	0.260651	-1.75101	-1.511446	-1.26315	0.61251	0.614493	0.618694	11.276698	0.426536	0.00281	8.824846	1.356761
39633448884769151	train	100	13	10.189551	10.301997	10.380187	0.246965	0.503034	0.877137	0.033206	0.118435	0.381833	0.007033	0.079225	0.237076	0.006741	0.093641	0.389269	0.474884	0.743648	0.826616	6.810834	8.675928	10.386839	0.000167	0.000321	0.000565	0.000484	0.000898	0.001256	0.056607	0.403369	1.364005	0.068495	0.134844	0.339594	-1.221625	-0.361482	0.880171	0.417563	0.422462	0.427878	10.104479	0.231535	0.00217	9.220623	0.419003
39633448888959132	train	100	13	11.391276	11.424131	11.469981	0.095772	0.147016	0.256465	0.090473	0.250128	0.424883	0.064921	0.244437	0.588539	0.074355	0.240747	0.565205	0.746043	0.856911	0.923964	7.170545	9.017924	9.958562	0.000149	0.00044	0.001167	0.001584	0.002504	0.002889	0.046475	0.189025	1.979934	0.319972	0.382337	0.426257	-0.733996	-0.458752	-0.250115	0.293337	0.294279	0.295451	11.206928	0.231742	0.005599	9.522949	2.197062
39633448884768447	train	100	13	10.486828	10.622027	10.677651	0.020758	0.028553	0.337255	0.017986	0.045568	0.418592	0.020087	0.067761	0.165028	0.147043	0.773337	0.890887	0.180992	0.482144	0.878488	3.998504	5.527714	6.269324	0.000084	0.000161	0.000337	0.007025	0.008712	0.010883	0.422335	0.931179	1.915825	0.136483	0.150798	0.18182	-1.990717	-1.949483	-1.908992	0.458258	0.45885	0.459515	10.447789	0.078566	0.016694	9.545898	0.228617
39633448884768344	train	100	13	10.502171	10.553659	10.608538	0.266848	0.486847	0.821194	0.056049	0.203792	0.369373	0.013536	0.100173	0.372827	0.011512	0.059868	0.153995	0.773764	0.880194	0.92089	8.892559	11.026268	11.960511	0.000239	0.000534	0.000727	0.000985	0.001671	0.00315	0.40674	1.107902	2.267059	0.1846	0.273589	0.340784	-1.108105	-0.776121	-0.057003	0.087801	0.08824	0.088643	10.330911	0.078895	0.002435	9.602874	0.45273
39633451392959475	train	100	13	10.956133	10.997475	11.009343	0.0254	0.253183	0.697669	0.100193	0.194651	0.571939	0.016484	0.086968	0.325687	0.026625	0.141265	0.536582	0.923505	0.973861	0.995991	9.339106	10.539217	11.320705	0.002933	0.007767	0.011037	0.002856	0.004614	0.007007	1.130668	1.807681	2.254339	0.083821	0.09754	0.114317	-1.928343	-1.82225	-1.618304	0.535358	0.537018	0.538554	10.76481	0.169697	0.008794	11.154789	0.135186
39633451392958836	train	100	13	11.762395	11.919213	12.076188	0.15313	0.399405	0.852634	0.018359	0.087996	0.236677	0.030727	0.19323	0.549487	0.010872	0.077373	0.216753	0.716144	0.874755	0.925875	8.736519	9.161907	9.398771	0.000331	0.000488	0.000657	0.003314	0.00418	0.006005	0.091445	0.238544	1.127791	1.603302	2.093472	2.30861	0.435086	0.564089	0.669071	0.495257	0.500333	0.503892	11.705944	0.394391	0.007907	8.802187	10.205126
39633451392958935	train	100	13	8.545519	8.612392	8.665634	0.602818	0.905271	0.968094	0.006365	0.021528	0.096681	0.002303	0.025178	0.200339	0.00568	0.037715	0.163926	0.391823	0.516397	0.673019	10.550175	11.682266	12.601792	0.000147	0.000206	0.000357	0.000583	0.001521	0.004958	0.007674	0.027156	0.093242	0.00726	0.026154	0.066945	-0.857297	0.019775	0.880878	0.58343	0.588465	0.594485	8.424349	0.047197	0.003707	9.251704	0.034527
39633451392958886	train	100	13	11.0086	11.215853	11.308472	0.598069	0.814816	0.937462	0.007866	0.056097	0.160217	0.009082	0.023582	0.076446	0.005287	0.047906	0.211286	0.699506	0.812613	0.840436	10.12864	10.546827	10.883487	0.008624	0.012029	0.014331	0.000374	0.000742	0.000963	0.002988	0.014232	0.032503	0.504624	0.654442	0.850685	0.268342	0.828403	0.939889	0.293228	0.294498	0.295961	11.005809	0.229806	0.009188	8.900058	6.147581
39633451392958987	train	100	13	10.756136	10.822164	10.912352	0.050792	0.133453	0.261049	0.179507	0.327335	0.585824	0.026056	0.165807	0.473371	0.039618	0.214436	0.393453	0.442099	0.727157	0.89117	6.966561	9.947524	11.102623	0.00084	0.004884	0.012878	0.000652	0.002297	0.004628	0.633698	1.554317	2.214257	0.48612	0.558283	0.650762	-0.832818	-0.353386	-0.071324	0.391397	0.394514	0.396305	10.603301	0.176835	0.009117	10.406494	0.632042
39633451392960667	train	100	13	11.273258	11.332927	11.392563	0.202088	0.475116	0.659043	0.06557	0.217599	0.431202	0.019053	0.126709	0.271233	0.043496	0.133654	0.242773	0.842112	0.909792	0.957505	9.662224	10.083552	10.416702	0.000297	0.00393	0.010525	0.000376	0.000705	0.001413	0.070936	0.377399	2.203327	0.455215	0.561462	0.648686	0.005313	0.256802	0.5495	0.308103	0.309907	0.311465	11.011978	0.277611	0.003027	9.250625	1.970989
39633451392961131	train	100	13	10.595006	10.770516	10.953324	0.051466	0.418726	0.672348	0.024261	0.050786	0.266616	0.027648	0.090122	0.284334	0.049632	0.171578	0.846905	0.565611	0.866442	0.929813	10.040014	11.278213	12.53785	0.000431	0.000807	0.005565	0.000313	0.000889	0.001343	0.232889	1.89783	2.778179	0.433533	0.543074	0.698582	-0.245745	0.095544	0.541602	0.578412	0.581823	0.583725	10.333497	0.167824	0.001709	9.404554	0.700561
39633451392961129	train	100	13	9.959162	10.025516	10.07463	0.339239	0.502647	0.77746	0.073563	0.209196	0.33437	0.011722	0.055783	0.170144	0.049714	0.145786	0.293333	0.153674	0.40293	0.605619	5.833631	8.158878	11.427817	0.000081	0.000256	0.000492	0.000116	0.000442	0.000809	0.185406	1.129993	2.295438	0.010064	0.040617	0.096378	-1.5824	-0.415846	0.651619	0.335855	0.338324	0.341355	9.765528	0.167886	0.001769	4.735903	0.529336
39633451392960471	train	100	13	11.336123	11.362368	11.390614	0.016046	0.041748	0.050114	0.008835	0.040354	0.143914	0.068559	0.148596	0.565518	0.236731	0.736973	0.8812	0.207826	0.380953	0.629942	7.261799	10.182407	11.105308	0.000105	0.000232	0.000502	0.00263	0.003301	0.003758	0.036368	0.116221	0.576924	0.383515	0.412077	0.439541	-1.049989	-0.840268	-0.552824	0.316823	0.317568	0.31829	11.127376	0.197036	0.007618	9.616729	1.429544
39633451392960536	train	100	13	10.388431	10.436346	10.494876	0.495423	0.655123	0.785527	0.022037	0.10786	0.239955	0.005126	0.036232	0.201018	0.007054	0.051669	0.20056	0.710835	0.79762	0.860243	9.743863	10.412017	10.908629	0.000308	0.000477	0.000746	0.000909	0.001197	0.001754	0.042723	0.424657	1.519051	0.069769	0.089849	0.163918	-1.868198	-1.513336	-1.100967	0.521884	0.525543	0.530059	10.192156	0.197472	0.002971	9.026001	0.92904
39633451392960454	train	100	13	10.192382	10.308231	10.389247	0.246048	0.538472	0.705968	0.03803	0.279925	0.399099	0.03323	0.086642	0.225168	0.009123	0.065526	0.22368	0.27798	0.560433	0.754481	5.50879	8.865681	10.561338	0.00027	0.000484	0.000996	0.000639	0.000957	0.002183	0.081862	0.378173	0.877165	0.055478	0.109173	0.224855	-1.572667	-0.990254	0.085335	0.253551	0.256213	0.258818	10.247699	0.177178	0.001574	10.340063	0.575105
39633451392961058	train	100	13	11.649114	11.670383	11.717404	0.106883	0.196153	0.227985	0.009919	0.046935	0.092679	0.138094	0.303559	0.655007	0.181379	0.484061	0.700824	0.540626	0.760943	0.799231	9.673474	10.07559	10.989499	0.000133	0.000221	0.000398	0.000898	0.001014	0.001348	0.006861	0.034732	0.096944	0.371728	0.401077	0.43398	-0.195784	0.047428	0.219625	0.109841	0.110124	0.110365	11.453515	0.19198	0.002767	9.559966	6.597198
39633451392960261	train	100	13	8.853243	8.863985	8.913386	0.993648	0.99808	0.999375	0.000396	0.000831	0.003972	0.000012	0.00018	0.001864	0	0.000085	0.001782	0.004107	0.012469	0.097136	0.010225	12.973157	13.191476	0.000045	0.000045	0.000046	0.000048	0.000055	0.000893	0.000275	0.002276	0.004922	0.000221	0.000589	0.001711	-0.70825	0.341789	0.497134	0.421498	0.444977	0.446872	8.622869	0.066349	0.001583	2.46094	0.171036
39633451392960325	train	100	13	9.954596	10.058397	10.157364	0.20842	0.412312	0.581727	0.016247	0.109131	0.264402	0.041947	0.146843	0.368234	0.029177	0.189122	0.548797	0.061509	0.358934	0.612642	6.040205	9.691922	11.070548	0.000262	0.000487	0.000618	0.000292	0.000618	0.000954	0.021694	0.05873	0.173311	0.247716	0.383228	0.539795	-0.163827	0.253773	0.652652	0.663618	0.669599	0.673706	9.929132	0.197488	0.001477	8.701432	0.577767
39633451392958915	train	100	13	11.009394	11.164478	11.215932	0.267122	0.385347	0.662582	0.046055	0.2589	0.458821	0.017775	0.091852	0.198581	0.044022	0.167707	0.384439	0.598782	0.727245	0.847702	5.634583	8.072501	9.627906	0.000232	0.000502	0.005898	0.002295	0.005064	0.008948	0.245799	1.203974	2.294119	0.537048	0.608149	0.690996	-1.507732	-1.331265	-0.930546	0.382283	0.385181	0.389956	10.983761	0.333616	0.01649	8.366537	4.707351

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L2 model-ready views (release v1)

The mmu-l2-* repositories provide processed, model-ready versions of the matching mmu-norm-* L1 data, while L1 keeps the normalized source measurements. L2 applies documented processing steps for training and evaluation, with the details for reversing each transformation stored in the row or in provenance.json.

Repo	View	Reversal
`mmu-l2-tess`	per-sector relative flux `f/median−1`, time from first valid cadence	`flux = (rel+1)×flux_median_e_per_s`; `t = t_rel + t0`
`mmu-l2-sdss`	spectra zero-padded to 4,800 samples with `valid` mask	drop `valid=false` samples
`mmu-l2-chandra`	bins zero-padded to 512 with `valid` mask	drop padding
`mmu-l2-sne`	time-sorted sequences, band/survey tokens, ONE scale per object (flux: ÷ median \|f\|; mag: − median m), `representation` column	`flux rows: v×scale`; `mag rows: v+scale`
`mmu-l2-provabgs`	16/50/84 posterior percentiles per parameter	samples remain in L1

Each row keeps its assignment from splits/v1 (train, val, test, or unassigned). Images, DESI and VIPERS spectra, and Gaia already have a fixed shape, so their L2 preparation uses the L1 tensors with the training-only robust scaling statistics in mmu-norm-index under l2_stats/v1/ (z = (x − median) / iqr).

In every L2 view, padding is marked valid=false, one amplitude scale is used per object to preserve colors, statistics are fit on the training split only, and gaps are left as gaps.

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Collection including kshitijd/mmu-l2-provabgs

OmniSky v1

Collection

Crossmatched, normalized multimodal astronomy: 20.4M DESI DR1 objects x 24 catalogs, 822 GB. Start with mmu-norm-index. • 20 items • Updated 26 days ago