oos_loglik,n,model,fold,n_train,scheme,error
-0.4880613524495527,3.0,A2 P,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6179689032006479,23.0,A2 P,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5431030904486999,15.0,A2 P,loo_Europe,72.0,leave-one-macro-region-out,
-0.6351336323453667,9.0,A2 P,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.6808994688904817,2.0,A2 P,loo_North_America,85.0,leave-one-macro-region-out,
-0.5396641871002942,3.0,A2 P,loo_South_America,84.0,leave-one-macro-region-out,
-0.5556779398097061,5.0,A2 P,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5444416294257195,6.0,A2 P,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6043015795250417,17.0,A2 P,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.5829162440745959,4.0,A2 P,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.49648122248801574,3.0,B0 FE only,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6250604270020237,23.0,B0 FE only,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5398083196722638,15.0,B0 FE only,loo_Europe,72.0,leave-one-macro-region-out,
-0.6375346096250804,9.0,B0 FE only,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.7220199085483197,2.0,B0 FE only,loo_North_America,85.0,leave-one-macro-region-out,
-0.5217824682759374,3.0,B0 FE only,loo_South_America,84.0,leave-one-macro-region-out,
-0.5617711756893108,5.0,B0 FE only,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5720629248539654,6.0,B0 FE only,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6044692070236013,17.0,B0 FE only,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.6150321505709686,4.0,B0 FE only,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.48416191268852043,3.0,B1 D only,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6154927045326366,23.0,B1 D only,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5543058313879182,15.0,B1 D only,loo_Europe,72.0,leave-one-macro-region-out,
-0.6322613087171535,9.0,B1 D only,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.6829120580961434,2.0,B1 D only,loo_North_America,85.0,leave-one-macro-region-out,
-0.5219812850414702,3.0,B1 D only,loo_South_America,84.0,leave-one-macro-region-out,
-0.5572203126706954,5.0,B1 D only,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5380005961660977,6.0,B1 D only,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6025306317512673,17.0,B1 D only,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.5762049031856433,4.0,B1 D only,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.4962374116819824,3.0,B2 K only,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6248569672964271,23.0,B2 K only,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5407854830332525,15.0,B2 K only,loo_Europe,72.0,leave-one-macro-region-out,
-0.6371071925590664,9.0,B2 K only,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.724521093462311,2.0,B2 K only,loo_North_America,85.0,leave-one-macro-region-out,
-0.5207608968080311,3.0,B2 K only,loo_South_America,84.0,leave-one-macro-region-out,
-0.5617890023264124,5.0,B2 K only,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5716201572503757,6.0,B2 K only,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6042279843058415,17.0,B2 K only,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.614480512511814,4.0,B2 K only,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.49613569030529164,3.0,B3 complexity,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6253154805860182,23.0,B3 complexity,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5408574084779093,15.0,B3 complexity,loo_Europe,72.0,leave-one-macro-region-out,
-0.6379062547566421,9.0,B3 complexity,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.7262541192578305,2.0,B3 complexity,loo_North_America,85.0,leave-one-macro-region-out,
-0.5219368338910513,3.0,B3 complexity,loo_South_America,84.0,leave-one-macro-region-out,
-0.5615010883228737,5.0,B3 complexity,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5717786784269936,6.0,B3 complexity,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6047361088148459,17.0,B3 complexity,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.6144770465919185,4.0,B3 complexity,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.48265473851259905,3.0,B4 persistence,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6205265583512978,23.0,B4 persistence,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5477744449447155,15.0,B4 persistence,loo_Europe,72.0,leave-one-macro-region-out,
-0.6320692993979519,9.0,B4 persistence,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.6921181974675796,2.0,B4 persistence,loo_North_America,85.0,leave-one-macro-region-out,
-0.518826113170134,3.0,B4 persistence,loo_South_America,84.0,leave-one-macro-region-out,
-0.5597455042562001,5.0,B4 persistence,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5586279807589243,6.0,B4 persistence,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6088468482433093,17.0,B4 persistence,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.6014078618663397,4.0,B4 persistence,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.4841547538303477,3.0,B5 D+K,loo_Central_Asia,84.0,leave-one-macro-region-out,
-0.6153225387136638,23.0,B5 D+K,loo_East_Asia,64.0,leave-one-macro-region-out,
-0.5544283583261507,15.0,B5 D+K,loo_Europe,72.0,leave-one-macro-region-out,
-0.6326218199475553,9.0,B5 D+K,loo_North_Africa,78.0,leave-one-macro-region-out,
-0.6783564705568839,2.0,B5 D+K,loo_North_America,85.0,leave-one-macro-region-out,
-0.5282965208177354,3.0,B5 D+K,loo_South_America,84.0,leave-one-macro-region-out,
-0.5560823821545652,5.0,B5 D+K,loo_South_Asia,82.0,leave-one-macro-region-out,
-0.5369885748781366,6.0,B5 D+K,loo_Southeast_Asia_Oceania,81.0,leave-one-macro-region-out,
-0.6030949216167942,17.0,B5 D+K,loo_Southwest_Asia,70.0,leave-one-macro-region-out,
-0.5744541520428678,4.0,B5 D+K,loo_Sub_Saharan_Africa,83.0,leave-one-macro-region-out,
-0.6073319277431232,18.0,A2 P,rep0_fold0,69.0,10x5-fold,
,,A2 P,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.5430608999692377,17.0,A2 P,rep0_fold2,70.0,10x5-fold,
-0.6066033552073161,17.0,A2 P,rep0_fold3,70.0,10x5-fold,
-0.6305116194410425,17.0,A2 P,rep0_fold4,70.0,10x5-fold,
-0.6195177999366908,18.0,A2 P,rep1_fold0,69.0,10x5-fold,
-0.5928356372674103,18.0,A2 P,rep1_fold1,69.0,10x5-fold,
-0.5755512951369498,17.0,A2 P,rep1_fold2,70.0,10x5-fold,
-0.622916299479458,17.0,A2 P,rep1_fold3,70.0,10x5-fold,
-0.5852119207254092,17.0,A2 P,rep1_fold4,70.0,10x5-fold,
-0.616472621816557,18.0,A2 P,rep2_fold0,69.0,10x5-fold,
-0.5482053008327218,18.0,A2 P,rep2_fold1,69.0,10x5-fold,
-0.6821407631459,17.0,A2 P,rep2_fold2,70.0,10x5-fold,
-0.6293622469961574,17.0,A2 P,rep2_fold3,70.0,10x5-fold,
-0.545310589513379,17.0,A2 P,rep2_fold4,70.0,10x5-fold,
-0.5540445983633765,18.0,A2 P,rep3_fold0,69.0,10x5-fold,
-0.6415004544963518,18.0,A2 P,rep3_fold1,69.0,10x5-fold,
-0.6258069537622215,17.0,A2 P,rep3_fold2,70.0,10x5-fold,
-0.6058292956883152,17.0,A2 P,rep3_fold3,70.0,10x5-fold,
-0.5859419890086269,17.0,A2 P,rep3_fold4,70.0,10x5-fold,
-0.6170286166705549,18.0,A2 P,rep4_fold0,69.0,10x5-fold,
-0.6898464795595827,18.0,A2 P,rep4_fold1,69.0,10x5-fold,
-0.5876564900362858,17.0,A2 P,rep4_fold2,70.0,10x5-fold,
-0.599407944209624,17.0,A2 P,rep4_fold3,70.0,10x5-fold,
-0.5554073836595318,17.0,A2 P,rep4_fold4,70.0,10x5-fold,
-0.5754837141305577,18.0,A2 P,rep5_fold0,69.0,10x5-fold,
-0.6366553669723513,18.0,A2 P,rep5_fold1,69.0,10x5-fold,
-0.626181965497974,17.0,A2 P,rep5_fold2,70.0,10x5-fold,
-0.5724568522125653,17.0,A2 P,rep5_fold3,70.0,10x5-fold,
-0.5958887681386783,17.0,A2 P,rep5_fold4,70.0,10x5-fold,
-0.6467235094755063,18.0,A2 P,rep6_fold0,69.0,10x5-fold,
-0.5530973471164247,18.0,A2 P,rep6_fold1,69.0,10x5-fold,
-0.5729226848601316,17.0,A2 P,rep6_fold2,70.0,10x5-fold,
-0.6268760451697202,17.0,A2 P,rep6_fold3,70.0,10x5-fold,
-0.6215745903739501,17.0,A2 P,rep6_fold4,70.0,10x5-fold,
-0.6460179014798269,18.0,A2 P,rep7_fold0,69.0,10x5-fold,
-0.615112194855756,18.0,A2 P,rep7_fold1,69.0,10x5-fold,
-0.5649084327318514,17.0,A2 P,rep7_fold2,70.0,10x5-fold,
-0.646666369436335,17.0,A2 P,rep7_fold3,70.0,10x5-fold,
-0.5661568215832,17.0,A2 P,rep7_fold4,70.0,10x5-fold,
-0.5822039715456159,18.0,A2 P,rep8_fold0,69.0,10x5-fold,
-0.6049258779799229,18.0,A2 P,rep8_fold1,69.0,10x5-fold,
-0.6104916839226251,17.0,A2 P,rep8_fold2,70.0,10x5-fold,
-0.620428349688623,17.0,A2 P,rep8_fold3,70.0,10x5-fold,
-0.5804883865855972,17.0,A2 P,rep8_fold4,70.0,10x5-fold,
-0.6800275101477173,18.0,A2 P,rep9_fold0,69.0,10x5-fold,
,,A2 P,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.6098519300366266,17.0,A2 P,rep9_fold2,70.0,10x5-fold,
-0.5925777083749647,17.0,A2 P,rep9_fold3,70.0,10x5-fold,
-0.5587977262042823,17.0,A2 P,rep9_fold4,70.0,10x5-fold,
-0.6222589966701738,18.0,B0 FE only,rep0_fold0,69.0,10x5-fold,
,,B0 FE only,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.5484545915943224,17.0,B0 FE only,rep0_fold2,70.0,10x5-fold,
-0.6141295916001708,17.0,B0 FE only,rep0_fold3,70.0,10x5-fold,
-0.6431128539272781,17.0,B0 FE only,rep0_fold4,70.0,10x5-fold,
-0.6280493673157582,18.0,B0 FE only,rep1_fold0,69.0,10x5-fold,
-0.597782103219764,18.0,B0 FE only,rep1_fold1,69.0,10x5-fold,
-0.5771116387983672,17.0,B0 FE only,rep1_fold2,70.0,10x5-fold,
-0.6248360038428907,17.0,B0 FE only,rep1_fold3,70.0,10x5-fold,
-0.5924549688245182,17.0,B0 FE only,rep1_fold4,70.0,10x5-fold,
-0.6224244199300977,18.0,B0 FE only,rep2_fold0,69.0,10x5-fold,
-0.5462603369963266,18.0,B0 FE only,rep2_fold1,69.0,10x5-fold,
-0.6913028440869243,17.0,B0 FE only,rep2_fold2,70.0,10x5-fold,
-0.6191640061924059,17.0,B0 FE only,rep2_fold3,70.0,10x5-fold,
-0.5487987002674055,17.0,B0 FE only,rep2_fold4,70.0,10x5-fold,
-0.554652762577848,18.0,B0 FE only,rep3_fold0,69.0,10x5-fold,
-0.642908611052659,18.0,B0 FE only,rep3_fold1,69.0,10x5-fold,
-0.6369788488977463,17.0,B0 FE only,rep3_fold2,70.0,10x5-fold,
-0.6148872113525065,17.0,B0 FE only,rep3_fold3,70.0,10x5-fold,
-0.583431865864677,17.0,B0 FE only,rep3_fold4,70.0,10x5-fold,
-0.6259557612659932,18.0,B0 FE only,rep4_fold0,69.0,10x5-fold,
-0.7014602714988226,18.0,B0 FE only,rep4_fold1,69.0,10x5-fold,
-0.5912995056749891,17.0,B0 FE only,rep4_fold2,70.0,10x5-fold,
-0.5886871480168484,17.0,B0 FE only,rep4_fold3,70.0,10x5-fold,
-0.5545150648412948,17.0,B0 FE only,rep4_fold4,70.0,10x5-fold,
-0.5791119016815003,18.0,B0 FE only,rep5_fold0,69.0,10x5-fold,
-0.6463348653643614,18.0,B0 FE only,rep5_fold1,69.0,10x5-fold,
-0.631423050333644,17.0,B0 FE only,rep5_fold2,70.0,10x5-fold,
-0.5803390702036926,17.0,B0 FE only,rep5_fold3,70.0,10x5-fold,
-0.5893572684192436,17.0,B0 FE only,rep5_fold4,70.0,10x5-fold,
-0.6471485289801452,18.0,B0 FE only,rep6_fold0,69.0,10x5-fold,
-0.5553637502851452,18.0,B0 FE only,rep6_fold1,69.0,10x5-fold,
-0.5636147183157447,17.0,B0 FE only,rep6_fold2,70.0,10x5-fold,
-0.63411451084136,17.0,B0 FE only,rep6_fold3,70.0,10x5-fold,
-0.6319157472426794,17.0,B0 FE only,rep6_fold4,70.0,10x5-fold,
-0.6448266855298942,18.0,B0 FE only,rep7_fold0,69.0,10x5-fold,
-0.6208906825838825,18.0,B0 FE only,rep7_fold1,69.0,10x5-fold,
-0.5755605616448807,17.0,B0 FE only,rep7_fold2,70.0,10x5-fold,
-0.6497659257041098,17.0,B0 FE only,rep7_fold3,70.0,10x5-fold,
-0.5521465560221865,17.0,B0 FE only,rep7_fold4,70.0,10x5-fold,
-0.583620691159712,18.0,B0 FE only,rep8_fold0,69.0,10x5-fold,
-0.6141841607797137,18.0,B0 FE only,rep8_fold1,69.0,10x5-fold,
-0.6167588901383592,17.0,B0 FE only,rep8_fold2,70.0,10x5-fold,
-0.6247229072680537,17.0,B0 FE only,rep8_fold3,70.0,10x5-fold,
-0.5837698591057986,17.0,B0 FE only,rep8_fold4,70.0,10x5-fold,
-0.6655415522114628,18.0,B0 FE only,rep9_fold0,69.0,10x5-fold,
,,B0 FE only,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.616058766494441,17.0,B0 FE only,rep9_fold2,70.0,10x5-fold,
-0.598973678147369,17.0,B0 FE only,rep9_fold3,70.0,10x5-fold,
-0.5685000808762086,17.0,B0 FE only,rep9_fold4,70.0,10x5-fold,
-0.6083195876382478,18.0,B1 D only,rep0_fold0,69.0,10x5-fold,
,,B1 D only,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.546891347396433,17.0,B1 D only,rep0_fold2,70.0,10x5-fold,
-0.6073616258366199,17.0,B1 D only,rep0_fold3,70.0,10x5-fold,
-0.6312694824979594,17.0,B1 D only,rep0_fold4,70.0,10x5-fold,
-0.6223838629775634,18.0,B1 D only,rep1_fold0,69.0,10x5-fold,
-0.5947180870121573,18.0,B1 D only,rep1_fold1,69.0,10x5-fold,
-0.5822865142697975,17.0,B1 D only,rep1_fold2,70.0,10x5-fold,
-0.6199227847693539,17.0,B1 D only,rep1_fold3,70.0,10x5-fold,
-0.5859938247448637,17.0,B1 D only,rep1_fold4,70.0,10x5-fold,
-0.6175189764440715,18.0,B1 D only,rep2_fold0,69.0,10x5-fold,
-0.5569485312822358,18.0,B1 D only,rep2_fold1,69.0,10x5-fold,
-0.6841572629494984,17.0,B1 D only,rep2_fold2,70.0,10x5-fold,
-0.6200529874225703,17.0,B1 D only,rep2_fold3,70.0,10x5-fold,
-0.546098627091856,17.0,B1 D only,rep2_fold4,70.0,10x5-fold,
-0.5660339371317407,18.0,B1 D only,rep3_fold0,69.0,10x5-fold,
-0.640706101223895,18.0,B1 D only,rep3_fold1,69.0,10x5-fold,
-0.628772500289047,17.0,B1 D only,rep3_fold2,70.0,10x5-fold,
-0.6089885321578207,17.0,B1 D only,rep3_fold3,70.0,10x5-fold,
-0.589291658590394,17.0,B1 D only,rep3_fold4,70.0,10x5-fold,
-0.616508747350852,18.0,B1 D only,rep4_fold0,69.0,10x5-fold,
-0.6943559160937426,18.0,B1 D only,rep4_fold1,69.0,10x5-fold,
-0.5866364532840139,17.0,B1 D only,rep4_fold2,70.0,10x5-fold,
-0.6021887502841344,17.0,B1 D only,rep4_fold3,70.0,10x5-fold,
-0.5618567958922737,17.0,B1 D only,rep4_fold4,70.0,10x5-fold,
-0.5731895159730104,18.0,B1 D only,rep5_fold0,69.0,10x5-fold,
-0.639150680801495,18.0,B1 D only,rep5_fold1,69.0,10x5-fold,
-0.6295445658391886,17.0,B1 D only,rep5_fold2,70.0,10x5-fold,
-0.573692260065334,17.0,B1 D only,rep5_fold3,70.0,10x5-fold,
-0.5995650677337133,17.0,B1 D only,rep5_fold4,70.0,10x5-fold,
-0.6518349304983629,18.0,B1 D only,rep6_fold0,69.0,10x5-fold,
-0.5531610824735905,18.0,B1 D only,rep6_fold1,69.0,10x5-fold,
-0.5763361704012375,17.0,B1 D only,rep6_fold2,70.0,10x5-fold,
-0.6282372771818667,17.0,B1 D only,rep6_fold3,70.0,10x5-fold,
-0.6248206977725752,17.0,B1 D only,rep6_fold4,70.0,10x5-fold,
-0.653125147254194,18.0,B1 D only,rep7_fold0,69.0,10x5-fold,
-0.6143976840991052,18.0,B1 D only,rep7_fold1,69.0,10x5-fold,
-0.5674316594988658,17.0,B1 D only,rep7_fold2,70.0,10x5-fold,
-0.644496996076469,17.0,B1 D only,rep7_fold3,70.0,10x5-fold,
-0.5635400325456037,17.0,B1 D only,rep7_fold4,70.0,10x5-fold,
-0.584929487443215,18.0,B1 D only,rep8_fold0,69.0,10x5-fold,
-0.6051446334858768,18.0,B1 D only,rep8_fold1,69.0,10x5-fold,
-0.6116292761407962,17.0,B1 D only,rep8_fold2,70.0,10x5-fold,
-0.6245369876486837,17.0,B1 D only,rep8_fold3,70.0,10x5-fold,
-0.5802696103002862,17.0,B1 D only,rep8_fold4,70.0,10x5-fold,
-0.6769562064244521,18.0,B1 D only,rep9_fold0,69.0,10x5-fold,
,,B1 D only,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.6094913290463297,17.0,B1 D only,rep9_fold2,70.0,10x5-fold,
-0.5936887920747554,17.0,B1 D only,rep9_fold3,70.0,10x5-fold,
-0.5608830070370011,17.0,B1 D only,rep9_fold4,70.0,10x5-fold,
-0.622860733833226,18.0,B2 K only,rep0_fold0,69.0,10x5-fold,
,,B2 K only,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.5481025853813067,17.0,B2 K only,rep0_fold2,70.0,10x5-fold,
-0.6157795858450074,17.0,B2 K only,rep0_fold3,70.0,10x5-fold,
-0.647858812398134,17.0,B2 K only,rep0_fold4,70.0,10x5-fold,
-0.6288038612470842,18.0,B2 K only,rep1_fold0,69.0,10x5-fold,
-0.5975185326794321,18.0,B2 K only,rep1_fold1,69.0,10x5-fold,
-0.5785935586562205,17.0,B2 K only,rep1_fold2,70.0,10x5-fold,
-0.6265308235739577,17.0,B2 K only,rep1_fold3,70.0,10x5-fold,
-0.6049837734565248,17.0,B2 K only,rep1_fold4,70.0,10x5-fold,
-0.622723644715846,18.0,B2 K only,rep2_fold0,69.0,10x5-fold,
-0.5479976710611313,18.0,B2 K only,rep2_fold1,69.0,10x5-fold,
-0.691017174609867,17.0,B2 K only,rep2_fold2,70.0,10x5-fold,
-0.6297025936236185,17.0,B2 K only,rep2_fold3,70.0,10x5-fold,
-0.5489775346820496,17.0,B2 K only,rep2_fold4,70.0,10x5-fold,
-0.5569141957997442,18.0,B2 K only,rep3_fold0,69.0,10x5-fold,
-0.6438185192695789,18.0,B2 K only,rep3_fold1,69.0,10x5-fold,
-0.6381378863600627,17.0,B2 K only,rep3_fold2,70.0,10x5-fold,
-0.6142228160425109,17.0,B2 K only,rep3_fold3,70.0,10x5-fold,
-0.5830679679528096,17.0,B2 K only,rep3_fold4,70.0,10x5-fold,
-0.6272397542059387,18.0,B2 K only,rep4_fold0,69.0,10x5-fold,
-0.7005034673848259,18.0,B2 K only,rep4_fold1,69.0,10x5-fold,
-0.594376135777104,17.0,B2 K only,rep4_fold2,70.0,10x5-fold,
-0.5882661065530312,17.0,B2 K only,rep4_fold3,70.0,10x5-fold,
-0.5552266659875161,17.0,B2 K only,rep4_fold4,70.0,10x5-fold,
-0.5833162558472252,18.0,B2 K only,rep5_fold0,69.0,10x5-fold,
-0.6458843675834318,18.0,B2 K only,rep5_fold1,69.0,10x5-fold,
-0.6341119232147508,17.0,B2 K only,rep5_fold2,70.0,10x5-fold,
-0.5801197123671539,17.0,B2 K only,rep5_fold3,70.0,10x5-fold,
-0.5917407814937196,17.0,B2 K only,rep5_fold4,70.0,10x5-fold,
-0.6478841088759187,18.0,B2 K only,rep6_fold0,69.0,10x5-fold,
-0.5562699230921433,18.0,B2 K only,rep6_fold1,69.0,10x5-fold,
-0.5642110792414579,17.0,B2 K only,rep6_fold2,70.0,10x5-fold,
-0.6339541022109576,17.0,B2 K only,rep6_fold3,70.0,10x5-fold,
-0.631241916779392,17.0,B2 K only,rep6_fold4,70.0,10x5-fold,
-0.6457897459223011,18.0,B2 K only,rep7_fold0,69.0,10x5-fold,
-0.6241780267664523,18.0,B2 K only,rep7_fold1,69.0,10x5-fold,
-0.577715100514324,17.0,B2 K only,rep7_fold2,70.0,10x5-fold,
-0.6570781933037084,17.0,B2 K only,rep7_fold3,70.0,10x5-fold,
-0.5521118033697582,17.0,B2 K only,rep7_fold4,70.0,10x5-fold,
-0.5828381767659178,18.0,B2 K only,rep8_fold0,69.0,10x5-fold,
-0.6144580157235265,18.0,B2 K only,rep8_fold1,69.0,10x5-fold,
-0.616659994437666,17.0,B2 K only,rep8_fold2,70.0,10x5-fold,
-0.624088792321915,17.0,B2 K only,rep8_fold3,70.0,10x5-fold,
-0.5844439826069375,17.0,B2 K only,rep8_fold4,70.0,10x5-fold,
-0.6663920964067712,18.0,B2 K only,rep9_fold0,69.0,10x5-fold,
,,B2 K only,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.61663352215543,17.0,B2 K only,rep9_fold2,70.0,10x5-fold,
-0.5989841600894605,17.0,B2 K only,rep9_fold3,70.0,10x5-fold,
-0.5687535233371137,17.0,B2 K only,rep9_fold4,70.0,10x5-fold,
-0.6224232632942309,18.0,B3 complexity,rep0_fold0,69.0,10x5-fold,
,,B3 complexity,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.548021220605251,17.0,B3 complexity,rep0_fold2,70.0,10x5-fold,
-0.6185799277109469,17.0,B3 complexity,rep0_fold3,70.0,10x5-fold,
-0.6551767260281819,17.0,B3 complexity,rep0_fold4,70.0,10x5-fold,
-0.6280157326305398,18.0,B3 complexity,rep1_fold0,69.0,10x5-fold,
-0.5974127318195985,18.0,B3 complexity,rep1_fold1,69.0,10x5-fold,
-0.5779100101966184,17.0,B3 complexity,rep1_fold2,70.0,10x5-fold,
-0.6265719380201763,17.0,B3 complexity,rep1_fold3,70.0,10x5-fold,
-0.5998911050375249,17.0,B3 complexity,rep1_fold4,70.0,10x5-fold,
-0.6229682345999569,18.0,B3 complexity,rep2_fold0,69.0,10x5-fold,
-0.5527991529682255,18.0,B3 complexity,rep2_fold1,69.0,10x5-fold,
-0.6918027497298345,17.0,B3 complexity,rep2_fold2,70.0,10x5-fold,
-0.6243495498300767,17.0,B3 complexity,rep2_fold3,70.0,10x5-fold,
-0.5486012589225445,17.0,B3 complexity,rep2_fold4,70.0,10x5-fold,
-0.554348329200956,18.0,B3 complexity,rep3_fold0,69.0,10x5-fold,
-0.643857038455794,18.0,B3 complexity,rep3_fold1,69.0,10x5-fold,
-0.640216594325675,17.0,B3 complexity,rep3_fold2,70.0,10x5-fold,
-0.6139446870181516,17.0,B3 complexity,rep3_fold3,70.0,10x5-fold,
-0.5838240226168955,17.0,B3 complexity,rep3_fold4,70.0,10x5-fold,
-0.6276158169789166,18.0,B3 complexity,rep4_fold0,69.0,10x5-fold,
-0.7025064012583728,18.0,B3 complexity,rep4_fold1,69.0,10x5-fold,
-0.5968080743238756,17.0,B3 complexity,rep4_fold2,70.0,10x5-fold,
-0.5878815702260025,17.0,B3 complexity,rep4_fold3,70.0,10x5-fold,
-0.555541049733102,17.0,B3 complexity,rep4_fold4,70.0,10x5-fold,
-0.5825960687526403,18.0,B3 complexity,rep5_fold0,69.0,10x5-fold,
-0.6458675603618614,18.0,B3 complexity,rep5_fold1,69.0,10x5-fold,
-0.6318087921744449,17.0,B3 complexity,rep5_fold2,70.0,10x5-fold,
-0.5805765904798559,17.0,B3 complexity,rep5_fold3,70.0,10x5-fold,
-0.5898164549103526,17.0,B3 complexity,rep5_fold4,70.0,10x5-fold,
-0.6488127534634986,18.0,B3 complexity,rep6_fold0,69.0,10x5-fold,
-0.5598498827806732,18.0,B3 complexity,rep6_fold1,69.0,10x5-fold,
-0.5631650509389547,17.0,B3 complexity,rep6_fold2,70.0,10x5-fold,
-0.6340273844377895,17.0,B3 complexity,rep6_fold3,70.0,10x5-fold,
-0.6344343111184253,17.0,B3 complexity,rep6_fold4,70.0,10x5-fold,
-0.6495896866751387,18.0,B3 complexity,rep7_fold0,69.0,10x5-fold,
-0.6201545780087081,18.0,B3 complexity,rep7_fold1,69.0,10x5-fold,
-0.5766895733818591,17.0,B3 complexity,rep7_fold2,70.0,10x5-fold,
-0.6526483507711919,17.0,B3 complexity,rep7_fold3,70.0,10x5-fold,
-0.5520706492340092,17.0,B3 complexity,rep7_fold4,70.0,10x5-fold,
-0.5837108392288399,18.0,B3 complexity,rep8_fold0,69.0,10x5-fold,
-0.6148287565836799,18.0,B3 complexity,rep8_fold1,69.0,10x5-fold,
-0.6173938320749792,17.0,B3 complexity,rep8_fold2,70.0,10x5-fold,
-0.6243828632704121,17.0,B3 complexity,rep8_fold3,70.0,10x5-fold,
-0.58370651697469,17.0,B3 complexity,rep8_fold4,70.0,10x5-fold,
-0.6658135394934944,18.0,B3 complexity,rep9_fold0,69.0,10x5-fold,
,,B3 complexity,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.6160048014502761,17.0,B3 complexity,rep9_fold2,70.0,10x5-fold,
-0.5994598035926632,17.0,B3 complexity,rep9_fold3,70.0,10x5-fold,
-0.568713984582936,17.0,B3 complexity,rep9_fold4,70.0,10x5-fold,
-0.6177748794828175,18.0,B4 persistence,rep0_fold0,69.0,10x5-fold,
,,B4 persistence,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.541350208035929,17.0,B4 persistence,rep0_fold2,70.0,10x5-fold,
-0.6150391065571179,17.0,B4 persistence,rep0_fold3,70.0,10x5-fold,
-0.6399410433722716,17.0,B4 persistence,rep0_fold4,70.0,10x5-fold,
-0.6295697257883499,18.0,B4 persistence,rep1_fold0,69.0,10x5-fold,
-0.5880278784748856,18.0,B4 persistence,rep1_fold1,69.0,10x5-fold,
-0.5731604710799205,17.0,B4 persistence,rep1_fold2,70.0,10x5-fold,
-0.6375013456439419,17.0,B4 persistence,rep1_fold3,70.0,10x5-fold,
-0.5958581411636649,17.0,B4 persistence,rep1_fold4,70.0,10x5-fold,
-0.6190718851371307,18.0,B4 persistence,rep2_fold0,69.0,10x5-fold,
-0.5482486031623248,18.0,B4 persistence,rep2_fold1,69.0,10x5-fold,
-0.6889472659786482,17.0,B4 persistence,rep2_fold2,70.0,10x5-fold,
-0.611941560462283,17.0,B4 persistence,rep2_fold3,70.0,10x5-fold,
-0.5472265352846163,17.0,B4 persistence,rep2_fold4,70.0,10x5-fold,
-0.5573419404454799,18.0,B4 persistence,rep3_fold0,69.0,10x5-fold,
-0.6380646732677969,18.0,B4 persistence,rep3_fold1,69.0,10x5-fold,
-0.6307203306424725,17.0,B4 persistence,rep3_fold2,70.0,10x5-fold,
-0.6097671103332879,17.0,B4 persistence,rep3_fold3,70.0,10x5-fold,
-0.58655920179526,17.0,B4 persistence,rep3_fold4,70.0,10x5-fold,
-0.6211534067439222,18.0,B4 persistence,rep4_fold0,69.0,10x5-fold,
-0.6961452495181134,18.0,B4 persistence,rep4_fold1,69.0,10x5-fold,
-0.5881216246876273,17.0,B4 persistence,rep4_fold2,70.0,10x5-fold,
-0.5876368465571769,17.0,B4 persistence,rep4_fold3,70.0,10x5-fold,
-0.5550327501500281,17.0,B4 persistence,rep4_fold4,70.0,10x5-fold,
-0.5826526469530944,18.0,B4 persistence,rep5_fold0,69.0,10x5-fold,
-0.6371101593952542,18.0,B4 persistence,rep5_fold1,69.0,10x5-fold,
-0.6300000134772511,17.0,B4 persistence,rep5_fold2,70.0,10x5-fold,
-0.5762926736158204,17.0,B4 persistence,rep5_fold3,70.0,10x5-fold,
-0.5985421162868496,17.0,B4 persistence,rep5_fold4,70.0,10x5-fold,
-0.652928695414056,18.0,B4 persistence,rep6_fold0,69.0,10x5-fold,
-0.5551680870281747,18.0,B4 persistence,rep6_fold1,69.0,10x5-fold,
-0.5643743883025886,17.0,B4 persistence,rep6_fold2,70.0,10x5-fold,
-0.6273228665735541,17.0,B4 persistence,rep6_fold3,70.0,10x5-fold,
-0.6269801961378364,17.0,B4 persistence,rep6_fold4,70.0,10x5-fold,
-0.6397452196954947,18.0,B4 persistence,rep7_fold0,69.0,10x5-fold,
-0.6162470649154671,18.0,B4 persistence,rep7_fold1,69.0,10x5-fold,
-0.5647336910797054,17.0,B4 persistence,rep7_fold2,70.0,10x5-fold,
-0.6445988346816625,17.0,B4 persistence,rep7_fold3,70.0,10x5-fold,
-0.5518545474497174,17.0,B4 persistence,rep7_fold4,70.0,10x5-fold,
-0.5816639710614425,18.0,B4 persistence,rep8_fold0,69.0,10x5-fold,
-0.6104026408192657,18.0,B4 persistence,rep8_fold1,69.0,10x5-fold,
-0.6230006737451382,17.0,B4 persistence,rep8_fold2,70.0,10x5-fold,
-0.6211060770037978,17.0,B4 persistence,rep8_fold3,70.0,10x5-fold,
-0.5788777122446616,17.0,B4 persistence,rep8_fold4,70.0,10x5-fold,
-0.6798072722309922,18.0,B4 persistence,rep9_fold0,69.0,10x5-fold,
,,B4 persistence,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.6161884466742826,17.0,B4 persistence,rep9_fold2,70.0,10x5-fold,
-0.5979456758715648,17.0,B4 persistence,rep9_fold3,70.0,10x5-fold,
-0.5649801809335007,17.0,B4 persistence,rep9_fold4,70.0,10x5-fold,
-0.6071201113987283,18.0,B5 D+K,rep0_fold0,69.0,10x5-fold,
,,B5 D+K,rep0_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.5448226199275119,17.0,B5 D+K,rep0_fold2,70.0,10x5-fold,
-0.6078459568722003,17.0,B5 D+K,rep0_fold3,70.0,10x5-fold,
-0.6342417651615544,17.0,B5 D+K,rep0_fold4,70.0,10x5-fold,
-0.6216611883548933,18.0,B5 D+K,rep1_fold0,69.0,10x5-fold,
-0.5933436332383474,18.0,B5 D+K,rep1_fold1,69.0,10x5-fold,
-0.5799203552322584,17.0,B5 D+K,rep1_fold2,70.0,10x5-fold,
-0.6237774969169441,17.0,B5 D+K,rep1_fold3,70.0,10x5-fold,
-0.5962314074144938,17.0,B5 D+K,rep1_fold4,70.0,10x5-fold,
-0.6164285456981456,18.0,B5 D+K,rep2_fold0,69.0,10x5-fold,
-0.5550719506380004,18.0,B5 D+K,rep2_fold1,69.0,10x5-fold,
-0.6823529488772692,17.0,B5 D+K,rep2_fold2,70.0,10x5-fold,
-0.6349211354758763,17.0,B5 D+K,rep2_fold3,70.0,10x5-fold,
-0.5459307682665984,17.0,B5 D+K,rep2_fold4,70.0,10x5-fold,
-0.5642082627660487,18.0,B5 D+K,rep3_fold0,69.0,10x5-fold,
-0.6413358094439828,18.0,B5 D+K,rep3_fold1,69.0,10x5-fold,
-0.6273715788317731,17.0,B5 D+K,rep3_fold2,70.0,10x5-fold,
-0.606168563492821,17.0,B5 D+K,rep3_fold3,70.0,10x5-fold,
-0.5873488241907752,17.0,B5 D+K,rep3_fold4,70.0,10x5-fold,
-0.6167635409415378,18.0,B5 D+K,rep4_fold0,69.0,10x5-fold,
-0.6902898041346739,18.0,B5 D+K,rep4_fold1,69.0,10x5-fold,
-0.590063802353847,17.0,B5 D+K,rep4_fold2,70.0,10x5-fold,
-0.60149969130101,17.0,B5 D+K,rep4_fold3,70.0,10x5-fold,
-0.5610610105956596,17.0,B5 D+K,rep4_fold4,70.0,10x5-fold,
-0.5763076114426743,18.0,B5 D+K,rep5_fold0,69.0,10x5-fold,
-0.6367410766013497,18.0,B5 D+K,rep5_fold1,69.0,10x5-fold,
-0.6283237081659587,17.0,B5 D+K,rep5_fold2,70.0,10x5-fold,
-0.5723113512237697,17.0,B5 D+K,rep5_fold3,70.0,10x5-fold,
-0.5974104639599264,17.0,B5 D+K,rep5_fold4,70.0,10x5-fold,
-0.650233537823597,18.0,B5 D+K,rep6_fold0,69.0,10x5-fold,
-0.5530376972999185,18.0,B5 D+K,rep6_fold1,69.0,10x5-fold,
-0.5745115580682859,17.0,B5 D+K,rep6_fold2,70.0,10x5-fold,
-0.6266934184819944,17.0,B5 D+K,rep6_fold3,70.0,10x5-fold,
-0.6216739607716862,17.0,B5 D+K,rep6_fold4,70.0,10x5-fold,
-0.6517790474103996,18.0,B5 D+K,rep7_fold0,69.0,10x5-fold,
-0.6169432515040979,18.0,B5 D+K,rep7_fold1,69.0,10x5-fold,
-0.5671613279484712,17.0,B5 D+K,rep7_fold2,70.0,10x5-fold,
-0.6516063601653364,17.0,B5 D+K,rep7_fold3,70.0,10x5-fold,
-0.5669222689586157,17.0,B5 D+K,rep7_fold4,70.0,10x5-fold,
-0.5826281169172589,18.0,B5 D+K,rep8_fold0,69.0,10x5-fold,
-0.6043655684533858,18.0,B5 D+K,rep8_fold1,69.0,10x5-fold,
-0.610361676935831,17.0,B5 D+K,rep8_fold2,70.0,10x5-fold,
-0.6213289274365054,17.0,B5 D+K,rep8_fold3,70.0,10x5-fold,
-0.580382971518139,17.0,B5 D+K,rep8_fold4,70.0,10x5-fold,
-0.6811250689340757,18.0,B5 D+K,rep9_fold0,69.0,10x5-fold,
,,B5 D+K,rep9_fold1,,10x5-fold,"predict requires that you use a DataFrame when predicting from a model
that was "
-0.6095615301133424,17.0,B5 D+K,rep9_fold2,70.0,10x5-fold,
-0.5925029199463963,17.0,B5 D+K,rep9_fold3,70.0,10x5-fold,
-0.5588775589829003,17.0,B5 D+K,rep9_fold4,70.0,10x5-fold,