instances. From the above, it may be deduced that since the predicted attribute was transformed into an ordinary value, REPTree was less sensitive to missing values than J48 thus prediction accuracy on the test set was better performed, however on the training set it was shown that a slightly less performance than J48 ( 97% vs. 98%) prediction rate is achieved.