Imbalanced data exists commonly in machine learning classification applications. Popular classification algorithms are based on the assumption that data in different classes are roughly equally distributed; however. extremely skewed data. with instances from one class taking up most of the dataset. https://totalbeautyexpers.shop/product-category/pet-care/