Prediction model for rapid estimated glomerular filtration rate decline in type 2 diabetes mellitus

Figure 4 Receiver operating characteristic curve comparison of three prediction models. Receiver operating characteristic curves comparing eXtreme Gradient Boosting [blue solid line, area under the curve (AUC) = 0.889, 95% confidence interval (CI): 0.826-0.952], Nomogram (purple dashed line, AUC = 0.876, 95%CI: 0.836-0.916), and Random Forest (green dotted line, AUC = 0.871, 95%CI: 0.829-0.913). eXtreme Gradient Boosting demonstrated the highest discrimination ability, though DeLong test showed no significant difference among the three models (P = 0.285). The diagonal reference line represents random classification (AUC = 0.5). XGBoost: EXtreme Gradient Boosting; AUC: Area under the curve.