Fig. 2From: Development and validation of explainable machine-learning models for carotid atherosclerosis early screeningROC and PR curves of models with different algorithms in the training, internal validation, and external validation datasets. PR: precision-recall; ROC: receiver operating characteristic;Â KNN k-nearest neighbors; LR logistic regression; NB naive bayes; RF random forest; SVM-linear linear support vector machine; SVM-nonlinear non-linear support vector machine; DT decision tree; GBDT gradient boosting decision tree; MLP multiplayer perception; XGB extreme gradient boosting machineBack to article page