Abstract: Many real world applications involve learning from imbalanced sets problems. The class imbalance problem corresponds to domains for which one class is represented by a large number of examples while the other is represented by only a few, such as fraud de

Key words: Imbalanced data, Small disjuncts, Meta-learning