Abstract Training a machine learning algorithm on a class-imbalanced dataset can be a difficult task. a process that could prove even more challenging under conditions of high dimensionality. Feature extraction and data sampling are among the most popular preprocessing techniques. Feature extraction is used to derive a richer set of reduced dataset features. https://chefesquipmenters.shop/product-category/disposable-skewers/