The Receiver Operating Characteristic (ROC) Curve is used to represent the trade-off between the false-positive and true positive rates for every possible cutoff value.
By tradition, the false positive rate (1-Specificity) on the X axis and true positive rate (Sensitivity) on the Y axis are shown in the plot.
ROC curves are used to consider whether a diagnostic test is good or bad.
We can judge the ROC curve from two criteria:
The missing values in the data range will be excluded in the analysis.
The missing values in the grouping range and the corresponding data values will be excluded in analysis
To perform a ROC Curve analysis:
Topics covered in this section: