What happens on increasing number of trees in random forest?
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During regression the subspace dimensionality is (large enough) by default, though a tree contains fewer nodes. So the optimal number of trees in a random forest depends on the number of predictors only in extreme cases. ... They suggest that a random forest should have a number of trees between 64 - 128 trees.
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