Compared to other classification algorithms, the learned model for a rule-based classification is set up by an IF-THEN rules set. The rules set can be transformed from the decision tree or by the following algorithm. An IF-THEN rule has the following format:
IF condition_holds_true THEN make_a_conclusion
An alternative format is as follows:
For a given instance or record in the source dataset, if the
RULE antecedent holds true, the rule is defined to cover the instance, and it is satisfied.
Given a rule
R, the coverage and accuracy are defined as follows: