Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery

Figure 4 Predictive performance of the extreme gradient boosting model assessed using a receiver operating characteristic curve. A: SHapley Additive exPlanations (SHAP) dependence plot; B: SHAP beeswarm plot. The extreme gradient boosting model (XGBoost) model performed the best for predicting hospital-acquired functional decline, achieving an area under the receiver operating characteristic curve value of 0.87. The XGBoost model is compared with other models. SPPB: Short physical performance battery; BMI: Body mass index.