DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems
The non-competence is an important problem in One-vs-One strategy. We develop a distance-based combination strategy, based on Dynamic Classifier Weighting strategies. Weights are settled depending on the closeness of the test instance to each one of the classes The effect of the non-competent classifiers is reduced. The new strategy enhances the results obtained w.r.t. the state-of-the-art aggregations.
one-vs-one multi-class classification pairwise learning decomposition strategies ensembles classifier selection