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 ...

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 ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

You might hear people use artificial intelligence (AI) and machine learning (ML) interchangeably, especially when discussing ...

Decision Trees are a popular machine learning method that partitions the feature space into smaller regions and models the response variable in each region using simple rules. However, Decision Trees ...