Introduction to Imbalanced Datasets In machine learning, the prevalence of imbalanced datasets poses a significant hurdle to achieving robust and reliable predictive models. These datasets, characterized by a skewed class distribution where one class, the majority class, vastly outnumbers the other, the minority class, are commonplace in various real-world applications. This imbalance introduces a bias
