DOC Ensures that fbeta_score passes numpydoc validation (#23486)

hasan-yaman · web-flow · commit fbb9028ce846 · 2022-05-29T21:55:06.000-04:00
diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
@@ -1235,7 +1235,10 @@ def fbeta_score(
 
     See Also
     --------
-    precision_recall_fscore_support, multilabel_confusion_matrix
+    precision_recall_fscore_support : Compute the precision, recall, F-score,
+        and support.
+    multilabel_confusion_matrix : Compute a confusion matrix for each class or
+        sample.
 
     Notes
     -----
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -34,7 +34,6 @@
     "sklearn.manifold._t_sne.trustworthiness",
     "sklearn.metrics._classification.brier_score_loss",
     "sklearn.metrics._classification.cohen_kappa_score",
-    "sklearn.metrics._classification.fbeta_score",
     "sklearn.metrics._classification.jaccard_score",
     "sklearn.metrics._classification.log_loss",
     "sklearn.metrics._plot.det_curve.plot_det_curve",
