DOC Fix description of roc_auc_score for average=None (#25779)

scikit-learn · Mar 8, 2023 · 451f212 · 451f212
1 parent 7e8d3c5
commit 451f212
Showing 1 changed file with 1 addition and 1 deletion.
diff --git 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'``: