The RULES-5 algorithm is applied consecutively on both training sets to extract rules that depict feature patterns at both levels of abstraction. In particular, RULES-5 created 15 rules from the first training set that encapsulates information at the lowest level of abstraction. The application of the same algorithm on the second training set resulted in 9 rules. This set of rules is shown in the table included in this slide.