A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...

We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to ...

A risk prediction model that was based on machine learning could help to make resource utilization more efficient by correctly predicting emergency department (ED) visits in patients with lung cancer.

The analysis included 109,328 patients and 1,118,236 appointments, including 77,322 and 75,545 (6.9 and 6.8%) no-shows and late cancellations, respectively. HealthDay News — The gradient boost model ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...