Performance measures of ROC curve analysis generated by CERA tool.
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https://figshare.com/articles/dataset/Performance_measures_of_ROC_curve_analysis_generated_by_CERA_tool_/25580946
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The table represents the performance measures of ROC curve analysis for the pexample prompt, as shown in the Table Tab panel of the CERA tool. The results indicate the following metrics: threshold: 45.33, Sensitivity: 0.73, Specificity: 0.89, Positive Predictive Value (PPV): 0.87, Negative Predictive Value (NPV): 0.77, Accuracy: 0.81, Area Under the Curve (AUC): 0.87, Confidence Interval (CI) of Lower Boundary (LB)-Upper Boundary (UB): 0.83-0.91.
创建时间：
2024-04-10
