I'm wondering which quality measures are available for non-binary classifiers. I've read this article
I understand, that the idea of Confusion matrix can be generalized easily. However, such metrics as sensitivity,specificity or precision seem to make sense only for binary classification problems.
So, my question is: are there any developed methods for evaluting the quality of non-binary classifiers?