Getting to Know Decision Trees

Introduction

One of the most powerful and widely used machine learning algorithms used for both classification and regression problems is the decision tree. A huge part of its popularity is owed to the fact that it’s very simple to use and interpret, and there’s not much mathematics involved. The decision tree algorithm is part of the supervised learning algorithms family. The name implies that it uses a tree-like flowchart to display the predictions that arise from a sequence of feature-based splits. It begins with a root node and finishes with a leaf-node decision.