We present RULES, a simple inductive learning algorithm for extracting
IF-THEN rules from a set of training examples. We also describe the a
pplication of RULES to a range of problems, each involving a different
number of attributes, values, and classes. The results obtained demon
strate that in spite of its simplicity RULES is at least comparable to
other inductive learning algorithms, if not more accurate and more ge
neral.