Question

what is the main reason that each tree of a random forest only looks at a random subset of the features when building each mode ?

A. To reduce the computational complexity associated with training each of the trees needed for the random forest.

B. To increase interpretability of the model.

C. To learn which features are not strong predictors.

D. To improve generalization by reducing correlation among the trees and making the model more robust to bias.

Answer 1

Option (D): To improve generalization by reducing correlation among the trees and making the model more robust to bias.