] Splitting Method on RandomForestClassifier
This is explained here
http://scikit-learn.org/stable/modules/ensemble.html#random-forests:
"In addition, when splitting a node during the construction of the tree, the
split that is chosen is no longer the best split among all features. Instead,
the
This is explained here
http://scikit-learn.org/stable/modules/ensemble.html#random-forests:
"In addition, when splitting a node during the construction of the tree, the
split that is chosen is no longer the best split among all features. Instead,
the split that is picked is the best split among
In Random Forest, the best split for each feature is selected. The
Extra Randomized Trees will make a random split instead.
On Tue, 2 Oct 2018 at 17:43, Michael Reupold
wrote:
>
> Hello all,
> I currently struggle to find information what or which specific split Methods
> are used on the RandomFo
Hello all,
I currently struggle to find information what or which specific split
Methods are used on the RandomForestClassifier. Is it a random selection? A
median? The best of a set of methods?
Kind regards
Michael Reupold
___
scikit-learn mailing list
