Decision Trees using Scikit-learn

In this article, we will understand decision tree by implementing an example in Python using the Sklearn package (Scikit Learn). Let's first discuss what is a decision tree. A decision tree has two components, one is the root and other is branches. The root represents the problem statement and the branches represent the solutions or consequences.Initially the problem or the root is split into two branches or consequences, and from the branches again a split occurs and further branches are created. In this article we will discuss about regression trees.