Class Imbalance: Random Sampling and Data Augmentation with Imbalanced-Learn

An exploration of the class imbalance problem, the accuracy paradox and some techniques to solve this problem by using the Imbalanced-Learn library.

Figure 1. Class imbalance visual description | Image by author | Icons taken from Vitaly-Gorbachev

One of the challenges that arise when developing machine learning models for…