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What additional randomisation does Random Forest apply beyond bootstrap sampling?

A It considers only a random subset of features at each split
B It randomises the target values
C It shuffles the tree depth
D It randomises the learning rate

Answer

It considers only a random subset of features at each split

Feature subsampling decorrelates the trees, which is what makes averaging them effective at reducing variance.

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