(Choose 1 answer)
This is the best way to choose the number of trees to build on a Bagging ensemble.
A. Choose a large number of trees, typically above 100
B. Prioratize training error metrics over out of bag sample
C. Tune number of trees as a hyperparameter that needs to be optimized
D. Choose a number of trees past the point of diminishing returns
Q: 19
