# Regression Trees | Decision Tree for Regression | Machine Learning

## How can Regression Trees be used for Solving Regression Problems ? How to Build One.

This Blog assumes that the reader is familiar with the concept of Decision Trees and Regression. If not, refer to the blogs below.

# What Are Regression Trees ?

Having read the above blogs or Having already being familiar with the appropriate topics, you hopefully understand what is a decision tree, by now ( The one we used for classification task ). A regression tree is basically a decision tree that is used for the task of regression which can be used to predict continuous valued outputs instead of discrete outputs.

# Mean Square Error

In Decision Trees for Classification, we saw how the tree asks right questions at the right node in order to give accurate and efficient classifications. The way this is done in Classification Trees is by using 2 measures , namely Entropy and Information Gain. But since we are predicting continuous variables, we cannot calculate the entropy and go through the same process…