Performance evaluation
PD
The classification models were evaluated with accuracy, kappa, sensitivity, specificity, and AUC. An ROC curve is a graph showing the classification model performance at all different classification thresholds. AUC is the area under the ROC curve. In our case, we set PD as a positive case and ET as a negative case. The accuracy, sensitivity, specificity, and kappa [