How to Tune the Number and Size of Decision Trees with XGBoost in Python - MachineLearningMastery.com

Gradient boosting involves the creation and addition of decision trees sequentially, each attempting to correct the mistakes of the learners that came before it. This raises the question as to how many trees (weak learners or estimators) to configure in your gradient boosting model and how big each tree should be. In this post you will […]