With regression models behind us, it is now time to dive into classification models. In this chapter, we will examine the math behind classification models, as well as the various applications of classification models. In addition, we will build two new ML.NET classification applications: the first, a binary classification example that will predict if a car's price is a good deal or not, akin to what you would find on a car purchase website; the other application, a multi-class classification application that categorizes emails. Finally, we will explore how to evaluate a classification model with the properties ML.NET exposes in classification models.
In this chapter, we will cover the following topics:
- Breaking down classification models
- Creating a binary classification application
- Creating a multi-class classification application
- Evaluating a classification...
