Class Imbalance is quite a known problem in datasets, and Imbalanced Learning is used to handle this problem by learning an unbiased model in the data.  Existing approaches include Resampling, Reweighting, Ensemble Methods and Meta-Learning Methods. In this article, we will discuss one new method that has outperformed many of the previous methods. It combines…

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