scikit-learn
diff --git a/‎sklearn/metrics/_classification.py
Copy file name to clipboardExpand all lines: sklearn/metrics/_classification.py
+9-2Lines changed: 9 additions & 2 deletions b/‎sklearn/metrics/_classification.py
Copy file name to clipboardExpand all lines: sklearn/metrics/_classification.py
+9-2Lines changed: 9 additions & 2 deletions
diff --git a/‎sklearn/tests/test_public_functions.py
Copy file name to clipboardExpand all lines: sklearn/tests/test_public_functions.py
+1Lines changed: 1 addition & 0 deletions b/‎sklearn/tests/test_public_functions.py
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+1Lines changed: 1 addition & 0 deletions
@@ -885,6 +885,13 @@ def jaccard_score(
     return np.average(jaccard, weights=weights)
 
 
+@validate_params(
+    {
+        "y_true": ["array-like"],
+        "y_pred": ["array-like"],
+        "sample_weight": ["array-like", None],
+    }
+)
 def matthews_corrcoef(y_true, y_pred, *, sample_weight=None):
     """Compute the Matthews correlation coefficient (MCC).
 
@@ -905,10 +912,10 @@ def matthews_corrcoef(y_true, y_pred, *, sample_weight=None):
 
     Parameters
     ----------
-    y_true : array, shape = [n_samples]
+    y_true : array-like of shape (n_samples,)
         Ground truth (correct) target values.
 
-    y_pred : array, shape = [n_samples]
+    y_pred : array-like of shape (n_samples,)
         Estimated targets as returned by a classifier.
 
     sample_weight : array-like of shape (n_samples,), default=None
 
@@ -127,6 +127,7 @@ def _check_function_param_validation(
     "sklearn.metrics.hamming_loss",
     "sklearn.metrics.jaccard_score",
     "sklearn.metrics.log_loss",
+    "sklearn.metrics.matthews_corrcoef",
     "sklearn.metrics.max_error",
     "sklearn.metrics.mean_absolute_error",
     "sklearn.metrics.mean_absolute_percentage_error",