Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now ...

The study of decision trees and optimisation techniques remains at the forefront of modern data science and machine learning. Decision trees, with their inherent interpretability and efficiency, are ...

A hierarchical tree that is used to make decisions in an if-then-else fashion. A type of supervised machine learning, a decision tree comprises decision nodes with two possible outcomes. See machine ...

You can use decision trees to guide you in deciding among several alternatives. The decision-tree method allows you to approach the problem in a structured and systematic way to arrive at a logical ...