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Table 4 The statistical features of SVM and DT

From: Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE−/− mice

Model Accuracy (%) Sensitivity (%) Specificity (%) Area under ROC (AUC)
SVM 87.5 80 95 0.875
DT 90 90 90 0.881