Artificial Intelligence, Data Science, Machine Learning, Technology, Algorithms.
a problem? Class imbalance is problematic because most algorithms/ML models expect the classes to be evenly distributed in the dataset. When one class massively outweighs the other, such algorithms usually favor the bigger class and ignore the smaller one. This is a big deal when the minority class