diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
index 88b8af7944ecc..8beb29467cd2c 100644
--- a/sklearn/metrics/_classification.py
+++ b/sklearn/metrics/_classification.py
@@ -1227,6 +1227,25 @@ def f1_score(
     )
 
 
+@validate_params(
+    {
+        "y_true": ["array-like", "sparse matrix"],
+        "y_pred": ["array-like", "sparse matrix"],
+        "beta": [Interval(Real, 0.0, None, closed="both")],
+        "labels": ["array-like", None],
+        "pos_label": [Real, str, "boolean", None],
+        "average": [
+            StrOptions({"micro", "macro", "samples", "weighted", "binary"}),
+            None,
+        ],
+        "warn_for": [list, tuple, set],
+        "sample_weight": ["array-like", None],
+        "zero_division": [
+            Options(Real, {0, 1}),
+            StrOptions({"warn"}),
+        ],
+    }
+)
 def fbeta_score(
     y_true,
     y_pred,
@@ -2743,9 +2762,11 @@ def log_loss(
     else:
         # TODO: Remove user defined eps in 1.5
         warnings.warn(
-            "Setting the eps parameter is deprecated and will "
-            "be removed in 1.5. Instead eps will always have"
-            "a default value of `np.finfo(y_pred.dtype).eps`.",
+            (
+                "Setting the eps parameter is deprecated and will "
+                "be removed in 1.5. Instead eps will always have"
+                "a default value of `np.finfo(y_pred.dtype).eps`."
+            ),
             FutureWarning,
         )
 
@@ -2812,8 +2833,10 @@ def log_loss(
     y_pred_sum = y_pred.sum(axis=1)
     if not np.isclose(y_pred_sum, 1, rtol=1e-15, atol=5 * eps).all():
         warnings.warn(
-            "The y_pred values do not sum to one. Starting from 1.5 this"
-            "will result in an error.",
+            (
+                "The y_pred values do not sum to one. Starting from 1.5 this"
+                "will result in an error."
+            ),
             UserWarning,
         )
     y_pred = y_pred / y_pred_sum[:, np.newaxis]
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
index 31aeb37c5e536..913950625ba72 100644
--- a/sklearn/tests/test_public_functions.py
+++ b/sklearn/tests/test_public_functions.py
@@ -137,6 +137,7 @@ def _check_function_param_validation(
     "sklearn.metrics.dcg_score",
     "sklearn.metrics.det_curve",
     "sklearn.metrics.f1_score",
+    "sklearn.metrics.fbeta_score",
     "sklearn.metrics.get_scorer",
     "sklearn.metrics.hamming_loss",
     "sklearn.metrics.jaccard_score",