Describe the difference between a Boosted Decision Tree and a Random Forest
Anonymous
A Random Forest is a bagging algorithm which uses parallel models to reduce variance. A Boosted Decision Tree is an iterative algorithm that improves on the decision tree model at each iteration.
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