Table 3 Performance evaluation metrics, including area under the curve (AUC), calculated for the applied classification frameworks using leave-one-out cross-validation: (1) logistic regression (LR), (2) support vector machine (SVM), (3) random forest (RF), (4) elastic net (EN) and (5) relaxed linear separability method (RLS).

From: Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study