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This paper provides a real life application of the recently published Anticipative Hybrid Extreme Rotation Forest (AHERF), which is an heterogeneous ensemble classifier that anticipates the correct fraction of instances from each basic classifier architecture to be included in the ensemble. Heterogeneous classifier ensembles aim to profit from the diverse problem domain specificities of each classifier...
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