DOC: explain default max_features in RandomForestRegressor
@@ -1224,11 +1224,18 @@ class RandomForestRegressor(ForestRegressor):
search of the best split. To obtain a deterministic behaviour during
fitting, ``random_state`` has to be fixed.
+ The default value ``max_features="auto"`` uses ``n_features``
+ rather than ``n_features / 3``. The latter was originally suggested in
+ [1], whereas the former was more recently justified empirically in [2].
+
References
----------
.. [1] L. Breiman, "Random Forests", Machine Learning, 45(1), 5-32, 2001.
+ .. [2] P. Geurts, D. Ernst., and L. Wehenkel, "Extremely randomized
+ trees", Machine Learning, 63(1), 3-42, 2006.
+
See also
--------
DecisionTreeRegressor, ExtraTreesRegressor
@@ -1473,8 +1480,8 @@ class ExtraTreesClassifier(ForestClassifier):
References
----------
- .. [1] P. Geurts, D. Ernst., and L. Wehenkel, "Extremely randomized trees",
- Machine Learning, 63(1), 3-42, 2006.
+ .. [1] P. Geurts, D. Ernst., and L. Wehenkel, "Extremely randomized
+ trees", Machine Learning, 63(1), 3-42, 2006.
See also
--------
