Bagged Decision Tree vs. Random Forest If asked to grow a bagged decision tree and use for each tree a random subset of m features (where m=sqrt(p), with p the total number of
variables) on the training set,
would that not be the same things as growing a Random Forest?
Answers and follow-up questions Answer or follow-up question 1
No. In random forest, a subset of features is selected at each node of each tree, and not just at each tree.
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