Abstract
A classification rule is an IF-THEN rule. The condition of the rule (the rule body or antecedent) typically consists of a conjunction of Boolean terms, each one constituting a constraint that needs to be satisfied by an example. If all constraints are satisfied, the rule is said to fire, and the example is said to be covered by the rule. The rule head (also called the consequent or conclusion) consists of a single class value, which is predicted in case the rule fires. This is in contrast to association rules, which allow multiple features in the head.
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Fürnkranz, J. (2017). Classification Rule. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_914
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_914
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Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4899-7687-1
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