Scikit-Learn Post pruning in RandomForestClassifier

Asked Mar 22 '18 at 02:45

Active Mar 22 '18 at 02:45

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Does the RandomForestClassifier() in scikit-learn support post-pruning? So there are parameters such as max_depth etc but they are more on the pre-pruning side.

So is it possible to build out the tree as far as possible and then prune the tree after in order to avoid overfitting.

Any advice would be appreciated, thanks.

asked Mar 22 '18 at 02:45

ml_enthusiast

Not present in current versions. There are [active](https://github.com/scikit-learn/scikit-learn/issues/6557) [issues](https://github.com/scikit-learn/scikit-learn/issues/4630) on github regrading this. – Vivek Kumar Mar 22 '18 at 05:05
Thanks for your reply Vivek. – ml_enthusiast Mar 22 '18 at 16:24

Scikit-Learn Post pruning in RandomForestClassifier

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