XGBoost is an open source machine learning library that implements optimized distributed gradient boosting algorithms. XGBoost uses parallel processing for fast performance, handles missing values ...

In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot ...

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. Bagging and boosting are often ...

Supervised machine learning, or supervised learning for short, includes classification algorithms such as neural networks, gradient boosting, Random Forest, Naïve Bayes, Support Vector Machines ...

While there are a number of other libraries out there to help with gradient boosting or other solutions to help train machine learning systems (XGBoost being one), Bilenko argued that the benefit ...