Handling Imbalanced Data: Oversampling v/s Undersampling

Introduction Working with imbalanced data when building a classification ML model can be a challenge, as it affects your models’ ability to make accurate predictions. This is particularly challenging when the focus goes beyond the accuracy score of t...