Question 5/10 v4 lecture 7

Does adding more predictors (trees) to Random Forest increase the risk of overfitting?


No! That is the beauty of this algorithm. It is extremely robust to overfitting - training more models on subsets of the training set and taking their mean does not lead to overfitting but generally delivers improved performance (beyond a certain point the gains become very small or cease alltogether).

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