Building Classification Models
In this chapter, you will learn about classification algorithms used in machine learning (ML). You will learn about the various methods that Redshift offers when you create classification models. This chapter will provide detailed examples of both binary and multi-class classification models and show you how to solve business problems with these modeling techniques. By the end of this chapter, you will be in a position to identify whether a business problem is a classification or not, identify the right method that Redshift offers in training, and build a model.
In this chapter, we will go through the following main topics:
- An introduction to classification algorithms
- Creating a model syntax with user guidance
- Training a binary classification model using the XGBoost algorithm
- Training a multi-class classification model using the Linear Learner model type
