For example, accuracy penalizes a classifier just as much for labeling a document from 'rec.sport.baseball' with 'rec.sport.hockey' as with 'alt.atheism' despite the similarity between sports newsgroups.
after building a confusion matrix between the predicted and true classes, external clustering metrics reveal confusion between classes.