As you’ve discovered in the previous chapter, there is a distinction in supervised machine learning models between linear and nonlinear models. In this chapter, you will discover the Decision Tree model. It is one of the simplest nonlinear machine learning models.
The idea behind the Decision Tree model can be intuitively understood as a long list of if-else statements. Those if-else decisions would be used at the prediction stage: the model predicts some result x if a certain condition is true, and ...
