Fig. 4

Comparison of the evaluation parameters of different classifiers for the training (a) and test sets (b) and receiver operating characteristic curves (ROCs) of the classifiers for the training (c) and test sets (d). DT: decision tree; kNN: k nearest neighbors; NB: naïve Bayes; PNN: probabilistic neural network; SVM: support vector machine. AUC: area under the curve