How can we differentiate if we are using Random Forest or if we seprately use decision trees as a base model in bagging techniques.
Hello Steve, welcome to the discussion platform.
If you see that an ensemble model is using a large number of decision trees and each tree is trained on a different subset of the data and features, it is likely that you are dealing with a Random Forest. On the other hand, if you see that the ensemble model is using a single decision tree as the base model and multiple copies of this base model are trained on different bootstrapped samples of the data, it is likely that you are dealing with a bagging technique using decision trees as the base model.
Thanks, that was helpful.