Question: When using Extra Tree, only a random subset of the features is considered for splitting at each node ( just as in Random Forest )

When using Extra Tree, only a random subset of the features is considered for splitting at each node

(

just as in Random Forest

)

but in addition, instead of looking for the best threshold for each feature it uses a random threshold for each feature. This increases the randomness in the trees thus lowering the variance and combating overfitting.

True

False

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