A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

Romero F. A. B. de Morais, PĂ©ricles B. C. de Miranda, Ricardo M. A. Silva. A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets. In 5th Brazilian Conference on Intelligent Systems, BRACIS 2016, Recife, Brazil, October 9-12, 2016. pages 385-390, IEEE Computer Society, 2016. [doi]

Abstract

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