style: apply automated linter fixes

src/safeds/ml/classical/classification/_classifier.py

@@ -1,17 +1,17 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING
 
 from sklearn.metrics import accuracy_score as sk_accuracy_score
 
 from safeds.data.tabular.containers import Table, TaggedTable
 from safeds.ml.exceptions import UntaggedTableError
 
-from typing import TYPE_CHECKING
-
 if TYPE_CHECKING:
     from typing import Any
 
+
 class Classifier(ABC):
     """Abstract base class for all classifiers."""
 

tests/safeds/ml/classical/classification/test_classifier.py

@@ -356,7 +356,6 @@ def test_should_compare_result_with_different_types(self) -> None:
 
         assert DummyClassifier().f1_score(table, 1) == pytest.approx(0.6666667)
 
-
     def test_should_return_1_if_never_expected_or_predicted_to_be_positive(self) -> None:
         table = Table.from_dict(
             {