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Association rules
Instead of predicting a "class", association rules describe relations between any of the attributes. Ian Witten explains how performance is measured.
Association rule learners find associations between attributes. Between any attributes: there’s no particular class attribute. Rules can predict any attribute, or indeed any combination of attributes. To find them we need a different kind of algorithm. “Support” and “confidence” are two measures of a rule that are used to evaluate them, and rank them. The most popular association rule learner, and the one used in Weka, is called Apriori.
