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 ...

How to Evaluate a Decision Tree Model. A decision tree can help you make tough choices between different paths and outcomes, but only if you evaluate the model correctly. Decision trees 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.

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 alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

In this paper, a decision-tree-oriented mechanism is developed for that purpose, enabling digital guidance for students to observe and classify real-world objects in the learning activities of natural ...