1model,fold,scheme,error,oos_loglik,brier,n,events,auc,calibration_slope,calibration_intercept2C1 P,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model3that was ",,,,,,,4C1 P,"train<=1975,test1976-2005",forward,,-0.3896968836751431,0.1237495731604952,4547.0,724.0,0.7679012461648962,1.000904248066669,-0.500494845166425C1 P,"train<=2005,test>=2006",forward,,-0.2786899335020621,0.08173934298756222,2763.0,272.0,0.7783358325265071,0.9009745183312277,-0.184517482711991486B0 FE+X,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model7that was ",,,,,,,8B0 FE+X,"train<=1975,test1976-2005",forward,,-0.3885312365556662,0.12258455414654446,4547.0,724.0,0.7591963009582883,0.9804629576806113,-0.42010461745377369B0 FE+X,"train<=2005,test>=2006",forward,,-0.2793662975136024,0.08196035119899624,2763.0,272.0,0.7776938153824356,0.9524381319645183,-0.0055277441145137110B1 D,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model11that was ",,,,,,,12B1 D,"train<=1975,test1976-2005",forward,,-0.38953429694606506,0.12328919822681099,4547.0,724.0,0.7596226243310698,0.9760294958079441,-0.449822388853474513B1 D,"train<=2005,test>=2006",forward,,-0.2792891777917825,0.08201117617476096,2763.0,272.0,0.7778546886438237,0.938482813587797,-0.051683825306542414B2 K,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model15that was ",,,,,,,16B2 K,"train<=1975,test1976-2005",forward,,-0.3849801776989598,0.12124847509575513,4547.0,724.0,0.7753077115394897,1.0544389335550675,-0.4379634082814230517B2 K,"train<=2005,test>=2006",forward,,-0.2775428640557777,0.08100321771210951,2763.0,272.0,0.7791889035823081,0.9181391137840416,-0.1528828280285062218B4 persistence,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model19that was ",,,,,,,20B4 persistence,"train<=1975,test1976-2005",forward,,-0.3899986454519143,0.12283225551877612,4547.0,724.0,0.7536183293037344,0.9610769765154307,-0.422267017614525821B4 persistence,"train<=2005,test>=2006",forward,,-0.2814896865412362,0.08259077047553244,2763.0,272.0,0.7733605686353225,0.9417246650434868,-0.0334025233428614322B5 D+K,"train<=1945,test1946-1975",forward,"predict requires that you use a DataFrame when predicting from a model23that was ",,,,,,,24B5 D+K,"train<=1975,test1976-2005",forward,,-0.3867779967114898,0.12229824702784269,4547.0,724.0,0.7764168748907095,1.0514028348323388,-0.4842886848536576725B5 D+K,"train<=2005,test>=2006",forward,,-0.27773960516612894,0.08117405300471837,2763.0,272.0,0.7815872434883226,0.8953092857560343,-0.2266674213460579426C1 P,loro_1,loro,,-0.28604106913790095,0.08037555228647814,1354.0,122.0,0.7198211624441132,0.7202717664143574,-0.917858862916444627C1 P,loro_2,loro,,-0.8545932591693702,0.20707500421599742,2619.0,773.0,0.6731820417980067,0.050258268346224065,-0.757339679518529428C1 P,loro_3,loro,,-0.4889061317680881,0.1555615740338974,1459.0,281.0,0.649233576421826,0.4881779729651372,-0.580349298190923729C1 P,loro_4,loro,,-0.5141651171538956,0.1680840150947805,3273.0,747.0,0.6687891709355236,0.6355322568001194,-0.314695677260317330C1 P,loro_5,loro,,-0.47327159597995455,0.08004066802591614,3919.0,350.0,0.6612420445903214,0.0024092654533086092,-2.313436747685431631C1 P,loro_6,loro,,-0.4910218489609021,0.1625629982222162,1974.0,409.0,0.7165345227586961,0.7162949290641591,-0.728183866921194532B0 FE+X,loro_1,loro,,-0.2905671519097122,0.08087934576529415,1354.0,122.0,0.7031682456887374,0.6853066453961756,-0.977280157780283433B0 FE+X,loro_2,loro,,-0.8557860882971616,0.20776424071294652,2619.0,773.0,0.6734203108991295,0.05092649533359051,-0.757149080801874334B0 FE+X,loro_3,loro,,-0.4940076798830174,0.1563878507489776,1459.0,281.0,0.6345002386577165,0.4625231117526357,-0.618983842993452335B0 FE+X,loro_4,loro,,-0.5184356062261626,0.17118489820040494,3273.0,747.0,0.6590012729725977,0.6120481944244622,-0.488523584425292136B0 FE+X,loro_5,loro,,-0.4792678881995545,0.08205765719681389,3919.0,350.0,0.6587795701076733,-0.0012876366789915557,-2.32668731363447437B0 FE+X,loro_6,loro,,-0.46723966615119294,0.15096728971620393,1974.0,409.0,0.7134880523680449,0.8138942090943181,-0.3961666923899427338B1 D,loro_1,loro,,-0.2903237601924835,0.08089028706645629,1354.0,122.0,0.7046186395571641,0.6872507761325369,-0.97476299280757639B1 D,loro_2,loro,,-0.8595579531967988,0.20868132549978732,2619.0,773.0,0.671969672548176,0.049545831807584415,-0.757912225327561340B1 D,loro_3,loro,,-0.4938309024221851,0.1563553468522629,1459.0,281.0,0.6356482124839132,0.463785644278651,-0.615968326245108341B1 D,loro_4,loro,,-0.5185941178507459,0.1712825438774896,3273.0,747.0,0.6588020066542231,0.6119013272384245,-0.49265687024513842B1 D,loro_5,loro,,-0.47939940869806885,0.08209700835827424,3919.0,350.0,0.658969299123404,-0.0011830694601739167,-2.32631060685125943B1 D,loro_6,loro,,-0.4705049397174371,0.15262618015293009,1974.0,409.0,0.7145301014708983,0.8123269544478149,-0.470582257358897844B2 K,loro_1,loro,,-0.28786037215041194,0.07939095691384952,1354.0,122.0,0.6993958909942516,0.7031237381143722,-0.906336030621966445B2 K,loro_2,loro,,-0.8350593492367202,0.2012296840735442,2619.0,773.0,0.6803973908131844,0.05664057681676268,-0.757621347474423246B2 K,loro_3,loro,,-0.4844426314424256,0.15512259474512663,1459.0,281.0,0.6513120132439927,0.5057056470586925,-0.597262752529325347B2 K,loro_4,loro,,-0.5068305225238278,0.1660612533146381,3273.0,747.0,0.6769225224996052,0.6819985530642002,-0.317871156043363348B2 K,loro_5,loro,,-0.4605597419644665,0.0756869573523636,3919.0,350.0,0.6589837089220671,0.007510949039233791,-2.293390157592479649B2 K,loro_6,loro,,-0.4773719148809536,0.15649635102052561,1974.0,409.0,0.7109337041174218,0.6232607611125086,-0.510699393966895550B4 persistence,loro_1,loro,,-0.2902062521971979,0.08069304394519712,1354.0,122.0,0.702596071960826,0.6931620017293897,-0.968683757680311851B4 persistence,loro_2,loro,,-0.8552566856589786,0.2075386171559939,2619.0,773.0,0.6741295118707067,0.05111727735849174,-0.756817382517839952B4 persistence,loro_3,loro,,-0.4941761083947784,0.15632627192482743,1459.0,281.0,0.6347298334229559,0.4645221028429317,-0.609586620863946553B4 persistence,loro_4,loro,,-0.5182643358407806,0.17115229370049168,3273.0,747.0,0.659480360078477,0.6127907685023691,-0.486991412969232754B4 persistence,loro_5,loro,,-0.4767582775988263,0.08120807318543667,3919.0,350.0,0.6616343113317057,-0.00016604004096815379,-2.322698776598393555B4 persistence,loro_6,loro,,-0.4686287022546417,0.15125941040837595,1974.0,409.0,0.7111727348711498,0.8021524888807867,-0.408166047494793356B5 D+K,loro_1,loro,,-0.2861781738979432,0.07922107862067106,1354.0,122.0,0.7074528954651906,0.7174313272085634,-0.884383947671872957B5 D+K,loro_2,loro,,-0.8360565200635777,0.20148487899444903,2619.0,773.0,0.6799320652745211,0.055229182534372125,-0.757611314189999758B5 D+K,loro_3,loro,,-0.4834795853642856,0.15508964187203983,1459.0,281.0,0.6561002724927346,0.5094523696480574,-0.590409512618518559B5 D+K,loro_4,loro,,-0.507601825011439,0.1656841392746702,3273.0,747.0,0.6790964332388939,0.6783626229919831,-0.253539079596861460B5 D+K,loro_5,loro,,-0.46063634830115807,0.07581305103877756,3919.0,350.0,0.6595392867149662,0.008808050209616622,-2.288445202301603861B5 D+K,loro_6,loro,,-0.48370822469274244,0.16007015842608954,1974.0,409.0,0.713917682807752,0.6141781750815443,-0.63054259105173662