diff --git a/src/safeds/ml/classical/classification/_classifier.py b/src/safeds/ml/classical/classification/_classifier.py
index 71066128a..915ab8f3c 100644
--- a/src/safeds/ml/classical/classification/_classifier.py
+++ b/src/safeds/ml/classical/classification/_classifier.py
@@ -117,7 +117,7 @@ def accuracy(self, validation_or_test_set: TaggedTable) -> float:
 
         return sk_accuracy_score(expected_values._data, predicted_values._data)
 
-    def precision(self, validation_or_test_set: TaggedTable, positive_class: Any = 1) -> float:
+    def precision(self, validation_or_test_set: TaggedTable, positive_class: Any) -> float:
         """
         Compute the classifier's precision on the given data.
 
@@ -154,7 +154,7 @@ def precision(self, validation_or_test_set: TaggedTable, positive_class: Any = 1
             return 1.0
         return n_true_positives / (n_true_positives + n_false_positives)
 
-    def recall(self, validation_or_test_set: TaggedTable, positive_class: Any = 1) -> float:
+    def recall(self, validation_or_test_set: TaggedTable, positive_class: Any) -> float:
         """
         Compute the classifier's recall on the given data.
 
@@ -191,7 +191,7 @@ def recall(self, validation_or_test_set: TaggedTable, positive_class: Any = 1) -
             return 1.0
         return n_true_positives / (n_true_positives + n_false_negatives)
 
-    def f1_score(self, validation_or_test_set: TaggedTable, positive_class: Any = 1) -> float:
+    def f1_score(self, validation_or_test_set: TaggedTable, positive_class: Any) -> float:
         """
         Compute the classifier's $F_1$-score on the given data.
 
diff --git a/tests/safeds/ml/classical/classification/test_classifier.py b/tests/safeds/ml/classical/classification/test_classifier.py
index 311cc5292..d568c8cfd 100644
--- a/tests/safeds/ml/classical/classification/test_classifier.py
+++ b/tests/safeds/ml/classical/classification/test_classifier.py
@@ -375,7 +375,7 @@ def test_should_return_1_if_never_expected_to_be_positive(self) -> None:
     )
     def test_should_raise_if_table_is_not_tagged(self, table: Table) -> None:
         with pytest.raises(UntaggedTableError):
-            DummyClassifier().precision(table)  # type: ignore[arg-type]
+            DummyClassifier().precision(table, 1)  # type: ignore[arg-type]
 
 
 class TestRecall:
@@ -424,7 +424,7 @@ def test_should_return_1_if_never_expected_to_be_positive(self) -> None:
     )
     def test_should_raise_if_table_is_not_tagged(self, table: Table) -> None:
         with pytest.raises(UntaggedTableError):
-            DummyClassifier().recall(table)  # type: ignore[arg-type]
+            DummyClassifier().recall(table, 1)  # type: ignore[arg-type]
 
 
 class TestF1Score:
@@ -473,4 +473,4 @@ def test_should_return_1_if_never_expected_or_predicted_to_be_positive(self) ->
     )
     def test_should_raise_if_table_is_not_tagged(self, table: Table) -> None:
         with pytest.raises(UntaggedTableError):
-            DummyClassifier().f1_score(table)  # type: ignore[arg-type]
+            DummyClassifier().f1_score(table, 1)  # type: ignore[arg-type]