Are the results on NOVA and HIVA correctly reported on the web page?
The datasets NOVA or HIVA ares a strongly biased: they contain only a small fraction of examples of the positive class. Classifiers that minimize the error rate, not the balanced error rate (BER) will tend to predict systematically the negative class. This may yield a reasonable error rate, but a BER of about 50%. However, the AUC may be very good if the classifier orders the scores in a meaningful way.
