How to get good results when your data has class imbalances.

Using imbalanced-learn to deal with imbalanced data.

Photo by Maria Zavate on Unsplash

In classification problems, we often work with clean roughly balanced datasets in machine learning courses and we don’t have to worry about picking metrics other than accuracy or adjusting our approach to training a model. However, what happens if we end up with a severely…