I run SMO and Naive Bayes for the same data set under Weka Experiment Environment. For SMO, I have 116.547 seconds for the train set and 19.865 seconds for the test set. For Naive Bayes, I have 80.665 seconds for the train set and 699.594 seconds for the test set. I wonder if these results are significant since Naive Bayes is known as a fast classifier.
Could anyone explain me these results?