,Method,Normalized_Return,Accuracy,F1_Score
Train,cslr,0.39882567026107013,0.8464933804674402,0.8560356697058634
Train,tree,0.6823117030653421,0.9595974737222335,0.9554895571344718
Train,logistic,0.21066116798962894,0.9147714365806074,0.8798197062597403
Train,mip_wi,0.671383654465272,0.8737793222244428,0.8892602357621474
Train,mip,0.6423992104703968,0.8355643819480272,0.8630488745843704
Train,xgboost,0.99885878031534,0.9998351974383529,0.9998349034555585
Test,cslr,0.2687342757463594,0.8277711575875486,0.8390480008162906
Test,tree,0.24401897756568172,0.8854799975680935,0.8750255026311791
Test,logistic,0.20814932265454988,0.9138168774319066,0.8782942160180367
Test,mip_wi,0.3314870544502022,0.8294230301556421,0.8495475027775536
Test,mip,0.2930608324827603,0.7957578428988328,0.827863939712474
Test,xgboost,0.24240234978707137,0.9113205252918288,0.885257951675928
