Decision Trees Explained With a Practical Example

A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems -- yet, is mostly used for classification problems. A decision tree follows a set of if-else conditions to visualize the data and classify it according to the conditions. Before we dive deep into the working principle of the decision tree's algorithm you need to know a few keywords related to it. Attribute Subset Selection Measure is a technique used in the data mining process for data reduction.