Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...

This article presents a complete demo program for logistic regression, using batch stochastic gradient descent training with weight decay. Compared to other binary classification techniques, logistic ...

Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class. A multi-class classification problem is one ...

Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers at Columbia University's Mailman School of Public Health, Fu Foundation School of ...