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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?

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