What does the term ‘class imbalance’ mean and how does it affect model training?

Question

Data Science with Python — Medium

What does the term ‘class imbalance’ mean and how does it affect model training?

Accepted Answer

Class imbalance refers to when one class has significantly more samples than another in a classification dataset. This affects model training by causing models to be biased toward the majority class, leading to misleadingly high accuracy.