This experiment investigates the performance of the rule-based classifier on the Zoo data set. The data set is split into a training and a test set, half of the examples are used to form a training set, and the rest are for testing. The classification accuracies on both the training and the test sets are determined for the rule-based classifier.
Zoo [UCI MLR]
The second figure shows that the rule-based classifier perfectly classifies all training examples.
The third figure shows that the rule-based classifier perfectly classifies all but 6 of the 50 test examples.