Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?

no code implementations • 21 Apr 2018 • Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti

Experiments are performed on 18 state-of-the-art DS techniques over 30 classification datasets and results show that DS methods present a significant boost in classification accuracy even though they use the same neighborhood as the K-NN.

Classification General Classification