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 ...

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

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...

Update: HIMSS20 has been canceled due to the coronavirus. Read more here. "Between 12 to 18 million Americans every year will experience some sort of diagnostic error," said Paul Cerrato, a journalist ...