They also handily beat our two human-selected-unigram baselines of 58% and 64%, and, furthermore, perform well in comparison to the 69% baseline achieved via limited access to the test-data statistics, although the improvement in the case of SVMs is not so large.
in topic-based classification, all three classifiers have been reported to use bagof-unigram features to achieve accuracies of 90% and above for particular categories (Joachims, 1998;Nigam et al., 1999) 9 -and such results are for settings with more than two classes.