Fig. 1

Classification approach for binary classifiers. See the “Machine learning classification” section for a detailed explanation. l-SVM, linear support vector machine; DT, decision tree; RF, random forest; ET, extremely randomized tree; LDA, linear discriminant analysis; LR, logistic regression; LR-SGD, logistic regression with stochastic gradient descent learning; MCC, Matthews correlation coefficient; CV, cross-validation; X̄, average; σ, standard deviation. Green color indicates classifiers using only structural features and blue indicates classifiers using only GT features