Abstract Mitigating the impact of class-imbalance data on classifiers is a challenging task in machine learning. SMOTE is a well-known method to tackle this task by modifying class distribution and generating synthetic instances. However. most of the SMOTE-based methods focus on the phase of data selection. https://herbsdailyes.shop/product-category/medical-and-ambulatory-supplies-ostomy/