diff --git a/sklearn/metrics/_ranking.py b/sklearn/metrics/_ranking.py
index 4243bccd23c9a..bcd0e7138063e 100644
--- a/sklearn/metrics/_ranking.py
+++ b/sklearn/metrics/_ranking.py
@@ -440,7 +440,7 @@ class scores must correspond to the order of ``labels``,
         Otherwise, this determines the type of averaging performed on the data.
         Note: multiclass ROC AUC currently only handles the 'macro' and
         'weighted' averages. For multiclass targets, `average=None` is only
-        implemented for `multi_class='ovo'` and `average='micro'` is only
+        implemented for `multi_class='ovr'` and `average='micro'` is only
         implemented for `multi_class='ovr'`.
 
         ``'micro'``: