Performance measures of ROC curve analysis.

The table represents the performance measures of ROC curve analysis, as shown in the Table Tab panel of the CERA tool. The results indicate the following metrics: threshold: 0.20, Sensitivity: 0.63, Specificity: 0.81, Positive Predictive Value (PPV): 0.65, Negative Predictive Value (NPV): 0.79, Accuracy: 0.74, Area Under the Curve (AUC): 0.73, Confidence Interval (CI) of Lower Boundary (LB)-Upper Boundary (UB): 0.63-0.83. These performance measures provide valuable insights into the accuracy and effectiveness of the ROC curve analysis performed by the CERA tool.