Fig. 5.

Development and evaluation of XGBoost classification model. ROC curves of XGBoost using the 5-fold cross-validation in the training (A), validation (B) and test (C) sets, respectively. D-F represent machine learning curve, calibration curve for XGBoost, and decision curve for XGBoost classification model, respectively. ROC, receiver operating characteristic