Fig. 2
From: Machine learning algorithm for early detection of end-stage renal disease
a: ROC Curve. Summary of the results of the XGBoost model. The C-statistic for the model was 0.93 (95% confidence intervals for the C-statistic are [0.916–0.943]), with a sensitivity of 0.715 and specificity of 0.958. Positive Predictive Value (PPV) was 0.517 and Negative Predictive Value (NPV) was 0.981. b: Precision Recall Curve