A decision tree classifier is a machine learning (ML) prediction system that generates rules ... After calling the splitting function, the demo program displays the results of the split. The goal is ...

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 ...

This may not only materialize or be a reliable function; for example ... and optimize decision trees using machine learning techniques. R generally has a better ability to handle large datasets ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...