Question: Since in bagging/random forest we are averaging over many models obtained by bootstrapping the original dataset, the resulting average prediction is NOT expected to overfit,

Since in bagging/random forest we are averaging over many models obtained by bootstrapping the original dataset, the resulting average prediction is NOT expected to overfit, even while each individual tree in the ensemble might overfit on its respective bootstrapped dataset.

True

False

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2. In what way can we say that method affects the result we get?

4. In what way will relationships in a system influence what is reported?