Figure 4
From: Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis
RFECV curves for the 6 adopted ML models. The red dot-line represents the number of features required to attain the highest AUC value. AUC area under the receiver operating characteristic curve; ML machine learning; RFECV recursive feature elimination with cross-validation; SVM support vector machine; XGBoost extreme gradient boosting.
