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 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 ...

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 ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

Gradient boost model achieves best performance for predicting no-shows and late cancellations in primary care practices. HealthDay News — The gradient boost model achieves the best performance for ...

TUESDAY, July 29, 2025 (HealthDay News) -- The gradient boost model achieves the best performance for predicting no-shows and late cancellations in primary care practices, according to a study ...