8000
We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent d4447e7 commit 1d8f696Copy full SHA for 1d8f696
doc/modules/feature_selection.rst
@@ -262,7 +262,7 @@ to use a :class:`sklearn.pipeline.Pipeline`::
262
263
In this snippet we make use of a :class:`sklearn.svm.LinearSVC`
264
to evaluate feature importances and select the most relevant features.
265
-Then, a class:`sklearn.ensemble.GradientBoostingClassifier` is trained on the
+Then, a :class:`sklearn.ensemble.RandomForestClassifier` is trained on the
266
transformed output, i.e. using only relevant features. You can perform
267
similar operations with the other feature selection methods and also
268
classifiers that provide a way to evaluate feature importances of course.
0 commit comments