Performance measures of ROC curve analysis.
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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.
创建时间：
2024-04-10
