DOC Ensures that RandomForestClassifier passes numpydoc validation (scikit-learn#20383)

Co-authored-by: Guillaume Lemaitre <[email protected]>

Author: alinealfa

maint_tools/test_docstrings.py

@@ -126,7 +126,6 @@
     "RadiusNeighborsClassifier",
     "RadiusNeighborsRegressor",
     "RadiusNeighborsTransformer",
-    "RandomForestClassifier",
     "RandomTreesEmbedding",
     "RandomizedSearchCV",
     "RegressorChain",

sklearn/ensemble/_forest.py

@@ -613,13 +613,7 @@ def feature_importances_(self):
     )
     @property
     def n_features_(self):
-        """Number of features when fitting the estimator.
-
-        Returns
-        -------
-        n_features_in_ : int
-            The number of features when fitting the estimator.
-        """
+        """Number of features when fitting the estimator."""
         return self.n_features_in_
 
 
@@ -1293,7 +1287,9 @@ class labels (multi-output problem).
 
     See Also
     --------
-    DecisionTreeClassifier, ExtraTreesClassifier
+    sklearn.tree.DecisionTreeClassifier : A decision tree classifier.
+    sklearn.ensemble.ExtraTreesClassifier : Ensemble of extremely randomized
+        tree classifiers.
 
     Notes
     -----