A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

We identified patients with cancer older than 75 years from the National Emergency Department Sample between 2016 and 2018. We constructed a high-dimensional predictive model called Cancer Frailty ...

They found the gradient boosting machine model performed best, with a positive predictive value of 23.1% (95% CI, 20.5-25.9) and negative predictive value of 97.8% (95% CI, 97.4-98.1) when ...

XGBoost (eXtreme Gradient Boosting) is a scalable, end-to-end, tree-boosting system that has produced state-of-the-art results on many machine learning challenges.

We used a much more sophisticated version of these decision trees called the extreme gradient boosting algorithm, or XG boost algorithm, to derive hundreds of trees from which we tried to identify ...

Estimation is conducted by a componentwise gradient boosting algorithm, which scales well to large data sets and complex models. Applied Statistics of the Journal of the Royal Statistical Society was ...

The BO-GBRT model accurately predicts compressive strength in self-compacting concrete with recycled aggregates, improving ...

The best-performing model for the classification of 1-year OS was the extreme gradient boosting algorithm, with AUC and F1-score values equal to 0.805 and 0.802, respectively. The SHAP technique ...