Oversampling and Undersampling

A technique for Imbalanced Classification

Photo by Morning Brew on Unsplash

Introduction

The Imbalanced classification problem is what we face when there is a severe skew in the class distribution of our training data. Okay, the skew may not be extremely severe (it can vary), but the reason we identify imbalanced classification as a problem is because it can influence the performance…