Solution: Undersampling

Let’s get more familiar with the NearMiss undersampling strategy by practice.

Task

Here, we deal with severely imbalanced training data for a binary classification problem. By default, NearMiss will balance out the training data so that we have (roughly) a 1:1 ratio of classes. We want you to apply a slightly different ...