Class imbalance in machine learning

Class imbalance in machine learning

Class imbalance in machine learning is a prevalent challenge that can significantly skew the performance of predictive models. When certain classes in a dataset are represented much more frequently than others, it complicates the model’s ability to learn effectively. This can lead to a variety of issues, particularly when the minority class is of higher importance, such as in fraud detection or medical diagnoses. Understanding this phenomenon is…