REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
Hybrid Intelligent Systems, International Conference on
By Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto, Alejandro Ceccatto
Issue Date:September 2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical applications. In this work we introduce the Recursive Partitioning of the Majori...