Predicting depression in patients with heart failure based on a stacking model

Figure 3 Feature screening and model performance evaluation. A: Rankings of feature importance; B-E: Receiver operating characteristic curves of the four models for predicting depression among heart failure patients in the training dataset and test dataset; F: Performance evaluation of the four models in the test dataset; G: Calibration curves of the four models in the test dataset; H: The clinical utility of the four models was evaluated via decision curves in the test dataset. PIR: Poverty income ratio; TC: Total cholesterol; LDL-C: Low-density lipoprotein cholesterol; DT: Decision tree.