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Existing research demonstrates that classifier ensembles can improve on the performance of the single dasiabestpsila classifier. However, for some problems, although the ensemble may obtain a lower classification error than any of the base classifiers, it may not provide the desired trade-off among the classification rates of different classes. In many applications, classes are not of equal importance,...