Dynamic ensemble selection for multi-class classification with one-class classifiers

Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera

Abstract: Highlights•Dynamic ensemble selection for multi-class decomposition with one-class classifiers.•Efficient framework for difficult data with high number of classes.•Removal of non-competent classifiers from decision making process.•Threshold-based selection mechanism for further ensemble pruning•Extensive experimental study backed-up with statistical analysis.