basis of a bivariate binormal model. In terms of usability, it has some drawbacks: 1) the input data format is rather cumbersome; 2) the output file contains many relevant data embedded in a human-readable text and thus needs to be parsed for further analysis; 3) the number of classifiers that can be simultaneously assessed is quite limited; 4) additional software is needed for plotting the ROC curves; 5) in case of errors, the program does not provide any feedback to the user about the causes of the abnormal interruption; and 6) it cannot be easily automated when a fast comparison of several classifiers is required.
