Fig. 1.

Prediction accuracies of the random forest classifiers. Prediction accuracies of the random forest classifiers. (A) ROC plot with AUC 0.803 for the random forest classifier trained on 80 features and tested on Test set 1. (B) Confusion matrix of the random forest classifier trained on 80 features and tested on Test set 1. (C) ROC plot with AUC 0.816 for the random forest classifier trained on the 39 features selected by the genetic algorithm feature selection and tested on blind test set 1. (D) Confusion matrix of the random forest classifier trained on the 39 features selected by the genetic algorithm feature selection and tested on blind test set 1.