Machine Learning & Training

What Is Class Imbalance?

Class imbalance occurs when the number of examples in each class is very unequal, such as far more normal cases than fraudulent ones. This can bias models toward the majority class and make standard accuracy misleading. Techniques such as resampling, weighting, and specialized metrics help address it.