Model,Accuracy,Precision,Recall,F1,MCC,AUC
LogisticRegression,0.8543351417750026,0.8118652153843462,0.7667676355000939,0.7850601570972016,0.5768727627572983,0.9057341226192865
DecisionTree,0.8180980653086294,0.7502465073640784,0.7543811391001951,0.7522620034103462,0.5046107077703351,0.7545686066013195
KNN,0.8331456648582249,0.7733296501057842,0.7537189304417866,0.7625362769077841,0.5266836108438059,0.8552112857162426
NaiveBayes,0.6240147405056813,0.6684270126042856,0.7257437659429397,0.61095278644811,0.3899812719185905,0.8267575524307519
RandomForest,0.8579179035725253,0.8132087462993951,0.7801155575693299,0.7943605469413506,0.5924006840146147,0.9057506706409546
XGBoost,0.874091513972771,0.8402235066699941,0.798808174066539,0.8163101981963472,0.6376882147337394,0.9297999824792423