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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Development and validation of explainable machine-learning models for carotid atherosclerosis early screening

Fig. 2

ROC and PR curves of models with different algorithms in the training, internal validation, and external validation datasets. PR: precision-recall; ROC: receiver operating characteristic; 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 machine

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