META-DES: A dynamic ensemble selection framework using meta-learning

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren

Abstract: Highlights•We propose a novel dynamic ensemble selection framework using meta-learning.•We present five sets of meta-features to measure the competence of a classifier.•Results demonstrate the proposed framework outperforms current techniques.