diff --git a/sklearn/metrics/classification.py b/sklearn/metrics/classification.py
index d1337bdc61aed..8a5c034786076 100644
--- a/sklearn/metrics/classification.py
+++ b/sklearn/metrics/classification.py
@@ -1066,7 +1066,7 @@ def fbeta_score(y_true, y_pred, beta, labels=None, pos_label=1,
     The F-beta score is the weighted harmonic mean of precision and recall,
     reaching its optimal value at 1 and its worst value at 0.
 
-    The `beta` parameter determines the weight of precision in the combined
+    The `beta` parameter determines the weight of recall in the combined
     score. ``beta < 1`` lends more weight to precision, while ``beta > 1``
     favors recall (``beta -> 0`` considers only precision, ``beta -> inf``
     only recall).
diff --git a/sklearn/preprocessing/_encoders.py b/sklearn/preprocessing/_encoders.py
index 6d11e7907984a..a8567e14db8fd 100644
--- a/sklearn/preprocessing/_encoders.py
+++ b/sklearn/preprocessing/_encoders.py
@@ -367,7 +367,8 @@ def _handle_deprecations(self, X):
             msg = (
                 "Passing 'n_values' is deprecated in version 0.20 and will be "
                 "removed in 0.22. You can use the 'categories' keyword "
-                "instead. 'n_values=n' corresponds to 'categories=[range(n)]'."
+                "instead. 'n_values=n' corresponds to "
+                "'categories=[range(n)] * n_features'."
             )
             warnings.warn(msg, DeprecationWarning)
             self._legacy_mode = True