Gradient boosted trees for supervised learning

In this section, we'll see how to use GBT to solve both regression and classification problems. In the previous two chapters, Chapter 2, Scala for Regression Analysis, and Chapter 3, Scala for Learning Classification, we solved the customer churn and insurance severity claim problems, which were classification and regression problem, respectively. In both approaches, we used other classic models. However, we'll see how we can solve them with tree-based and ensemble techniques. We'll use the GBT implementation from the Spark ML package in Scala.

Gradient boosted trees for classification

We know the customer churn prediction problem from Chapter 3, Scala for Learning...