A New Function for Ensemble Pruning

摘要

We propose in this work a new function named Diversity and Accuracy for Pruning Ensembles (DAPE) which takes into account both accuracy and diversity to prune an ensemble of homogenous classifiers. A comparative study with a diversity based method and experimental results on several datasets show the effectiveness of the proposed method.