Nice. One issue with the verbose option: when set to 0, it doesnt fill the .co part of the output anymore. To fix, switch the lines
m=[table(CSe,1) table(CSp,1) CE table(CEff,1)];
near the end of the code (line 300 or so)
the Equal Error Rate (EER) is the point on the ROC curve that corresponds to have an equal probability of miss-classifying a positive or negative sample. This point is obtained by intersecting the ROC curve with a diagonal of the unit square.
Anyway, in the results, it should be the "cost-effective" cut-off point.