EER Equal error rate
E = DD_EER(R) E = A*W*DD_EER
Compute the Equal error rate for ROC-curve R, or from the roc-curve derived from dataset A applied to (one-class) classifier W. Output E returns two values, the FPr and the FNr. In the case the ROC curve is sampled very well, these two values should be equal. In the case the ROC curve is very poorly sampled, both values may be much different. In these cases you probably want to use the average of the two, i.e. mean(e).
See also: dd_roc dd_error dd_auc Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org Faculty EWI, Delft University of Technology P.O. Box 5031, 2600 GA Delft, The Netherlands