DOC Fix grammar in forest.py
@@ -745,7 +745,7 @@ class RandomForestClassifier(ForestClassifier):
"""A random forest classifier.
A random forest is a meta estimator that fits a number of decision tree
- classifiers on various sub-samples of the dataset and use averaging to
+ classifiers on various sub-samples of the dataset and uses averaging to
improve the predictive accuracy and control over-fitting.
The sub-sample size is always the same as the original
input sample size but the samples are drawn with replacement if
@@ -1019,7 +1019,7 @@ class RandomForestRegressor(ForestRegressor):
"""A random forest regressor.
A random forest is a meta estimator that fits a number of classifying
- decision trees on various sub-samples of the dataset and use averaging
+ decision trees on various sub-samples of the dataset and uses averaging
to improve the predictive accuracy and control over-fitting.
The sub-sample size is always the same as the original
input sample size but the samples are drawn with replacement if
@@ -1258,7 +1258,7 @@ class ExtraTreesClassifier(ForestClassifier):
This class implements a meta estimator that fits a number of
randomized decision trees (a.k.a. extra-trees) on various sub-samples
- of the dataset and use averaging to improve the predictive accuracy
+ of the dataset and uses averaging to improve the predictive accuracy
and control over-fitting.
Read more in the :ref:`User Guide <forest>`.
@@ -1502,7 +1502,7 @@ class ExtraTreesRegressor(ForestRegressor):
This class implements a meta estimator that fits a number of
randomized decision trees (a.k.a. extra-trees) on various sub-samples
- of the dataset and use averaging to improve the predictive accuracy
+ of the dataset and uses averaging to improve the predictive accuracy
and control over-fitting.
Read more in the :ref:`User Guide <forest>`.
