Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...

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 ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...

Overview: Free university playlists offer clear and accessible AI lessons backed by real classroom teaching.Videos explain machine learning, deep learning, NLP, ...

Customer retention is a concern for many, if not all businesses. In this IBM Watson Studio product tour, you will create a decision-tree machine-learning model to evaluate the risk that a customer ...