Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study

Figure 4 Using the recursive feature elimination method to identify the optimal variables. A: Five variables were employed for the optimal category boosting algorithm; B: Receiver operating characteristic curves of the category boosting model based on selected variables. ROC: Receiver operating characteristic curves; AUC: Area under the receiver operating characteristic curve.