Unbalanced data handling in machine learning Unbalanced data Unbalanced data in this context refers to categorization issues if we have unequal examples for various classes. In fact, working with disease data, where we typically have more healthy control samples than disease cases, makes having unbalanced data extremely likely. With regard to fraud identification, there is […]