Take the 2-minute tour ×
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It's 100% free, no registration required.

I have a dataset on a particular domain and I want to do a one-class classification with LIBSVM (wrapper) in Weka. I have trained the classifier, but the problem is, when I test it with a different dataset than the test set, I get all of them as correctly classified (which I know they are topically different from the training data so no way of correctly classifying). I experimented changing the gamma and the $\nu$ parameter but I can't make a reliable model.

What could be the reason for this?

share|improve this question

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.