Handling Imbalanced Data

This chapter delves into the intriguing world of imbalanced data and how conformal prediction can be a game-changer in handling such scenarios.

Imbalanced datasets are a common challenge in machine learning, often leading to biased predictions and underperforming models. This chapter will equip you with the knowledge and skills to tackle these issues head-on.

We will be introduced to imbalanced data and learn why it poses a significant challenge in machine learning applications. We will then explore various methods traditionally used to address imbalanced data problems.

The highlight of the chapter is the application of conformal prediction to imbalanced data problems.

This chapter will illustrate how conformal prediction can solve imbalanced data problems by covering the following topics:

• Introducing imbalanced data
• Why imbalanced data problems are complex to solve
• Methods for solving imbalanced data
• How conformal prediction...