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 ...

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

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 ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

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 ...