DOC add cross-reference in multilabel_confusion_matrix
@@ -425,14 +425,16 @@ def multilabel_confusion_matrix(
See Also
--------
- confusion_matrix
+ confusion_matrix : Compute confusion matrix to evaluate the accuracy of a
+ classifier.
Notes
-----
- The multilabel_confusion_matrix calculates class-wise or sample-wise
+ The `multilabel_confusion_matrix` calculates class-wise or sample-wise
multilabel confusion matrices, and in multiclass tasks, labels are
- binarized under a one-vs-rest way; while confusion_matrix calculates
- one confusion matrix for confusion between every two classes.
+ binarized under a one-vs-rest way; while
+ :func:`~sklearn.metrics.confusion_matrix` calculates one confusion matrix
+ for confusion between every two classes.
Examples
--------
