DD_tools: dd_eer

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