How to Develop Random Forest Ensembles With XGBoost

The XGBoost library provides an efficient implementation of gradient boosting that can be configured to train random forest ensembles. Random forest is a simpler algorithm than gradient boosting. The XGBoost library allows the models to be trained in a way that repurposes and harnesses the computational efficiencies implemented in the library for training random forest […]

The post How to Develop Random Forest Ensembles With XGBoost appeared first on Machine Learning Mastery.