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 ...

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 ...

“Decision trees, random forests, and other like classifiers can act to reduce load and discrepancy on the deep-learning classifier,” said Mike McIntyre, director of software product management at Onto ...

For example, if you’re problem can be solved with a simple decision tree or regression model, there’s no point in using deep learning. Lones also warns against trying to reinvent the wheel.