Machine Learning

Decision Trees

Decision trees form the foundations of powerful algorithms such as random forests and gradient boosting trees. They consist of a series of True or False questions asked about our independent variables to arrive at the target variable. In this article, we will take an illustrative tour of how the CART algorithm arrives at its final decision. We will use a classification problem involving the quality of wine(yes, wine!).