,Method,Normalized_Return,Accuracy,F1_Score
Train,logistic,0.21066116798962894,0.9147714365806074,0.8798197062597403
Train,cslr,0.4016062960955828,0.8571678033160688,0.8628843457473205
Train,mip_wi,0.6004137857473512,0.8824322929485254,0.8912619521423945
Train,mip,0.5016681032695907,0.748640842505673,0.7879347711179419
Train,tree,0.6834829896044984,0.9596755347269125,0.9556150448094617
Train,xgboost,0.99885878031534,0.9998351974383529,0.9998349034555585
Test,logistic,0.20814932265454988,0.9138168774319066,0.8782942160180367
Test,cslr,0.2577194771463677,0.835524987840467,0.8442519802544886
Test,mip_wi,0.31923756322855423,0.8436265807392996,0.8552423787932761
Test,mip,0.18572497918057798,0.7109329401750972,0.7509029235877012
Test,tree,0.2521026458388849,0.8857918895914397,0.8763170599667647
Test,xgboost,0.24240234978707137,0.9113205252918288,0.885257951675928
