Explain the difference between a random forest and a gradien…

Explain the difference between a random forest and a gradient boosted ensemble along the following dimensions: How the construction of individual trees relates to the notions of bias (underfitting) and/or variance (overfitting) The effect of increasing the number of individual trees in the ensemble and the susceptibility of the composite predictions being overfit as number of individual trees increases