A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...

But a more common approach is to use a collection of decision trees for ensemble techniques: bagging tree regression, random forest regression, adaptive boosting regression, and gradient boosting ...