Figure 7
From: Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis
Performance of the 6 predictive models when using the 27 shared features for training: (A) receiver operating characteristic curves of the five models for the external validation set and (B) confusion matrix for the external validation set when using the LR model. FN false negative; FP false positive; NPV negative predictive value; SVM support vector machine; TN true negative; TP true positive; XGBoost extreme gradient boosting.
