Fig. 4

ROC curve evaluating the performance of the random forest model for predicting persistent SARS-CoV-2 infection. Solid blue line: ROC curve of the model, showing the trade-off between sensitivity (true positive rate) and 1-specificity (false positive rate), with an area under the curve (AUC) of 0.847. Black dashed line: Reference diagonal representing a classifier with no discriminative power (AUC = 0.5). SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; ROC, receiver operating characteristic