After linear regression, the next regression algorithm we'll be learning is **decision tree regression**, which is also called **regression tree**. It is easy to understand regression trees by comparing it with its sibling, the classification trees, which you are familiar with.

# Estimating with decision tree regression

# Transitioning from classification trees to regression trees

In classification, a decision tree is constructed by recursive binary splitting and growing each node into left and right children. In each partition, it greedily searches for the most significant combination of feature and its value as the optimal splitting point. The quality of separation is measured by the weighted purity of labels of two resulting...