The gradient boost model achieved the best performance in classifying patients as likely to be a no-show or to cancel an appointment late (AUROC of 85% for no-shows and 92% for late cancelations).

Gradient boost model achieves best performance for predicting no-shows and late cancellations in primary care practices.

The gradient boost model achieved the best performance in classifying appointments as likely no-shows or late cancellations, with Area Under the Receiver Operating Characteristic curve scores ...

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 ...

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 ...

The gradient boost model achieved the best performance in classifying appointments as likely no-shows or late cancellations, with Area Under the Receiver Operating Characteristic curve scores ...

The gradient boost model achieved the best performance in classifying appointments as likely no-shows or late cancellations, with Area Under the Receiver Operating Characteristic curve scores ...