Fig. 2

Comparisons of performance evaluation of predictive models developed via 13 machine learning algorithms. A receiver operating characteristic curve of 13 predictive models; B The area under the curve values comparisons of the models; Abbreviations: SK, SVM with sigmoid kernel; RK, SVM with radial kernel; PK, SVM with polynomial kernel; LK, SVM with linear kernel; LR, logistic regression; RF, random forest; QDA, quadratic discriminant analysis; LDA, linear discriminant analysis; NB, naive Bayesian; KNN, K-nearest neighbor; DT, decision tree; AdaBoost, adaptive boosting; Bagging, bootstrap aggregating