An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification
arcade smokey the bear belt The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble.Unfortunately, in imbalanced classification, selecting an appropriate and well-performing meta-learner of stacked ensemble is not straightforward as different m