Performance comparison for different classification methods

MethodAUCCAF1PrecisionRecall
Tree0.9250.9280.9280.9280.928
SVM0.9920.9520.9510.9550.952
Random Forest0.9860.9500.9500.9500.950
SAL Network0.9970.9940.9940.9940.994
Naive Bayes0.9830.9340.9340.9340.934
Logistic Regression0.9270.9290.9290.9290.929

AUC: area under the ROC curve; CA: classification accuracy