test: rename two tests for consistency

Safe-DS · Mar 30, 2023 · a624465 · a624465
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Showing 2 changed files with 4 additions and 4 deletions.
diff --git a/tests/safeds/ml/classification/test_classifier.py b/tests/safeds/ml/classification/test_classifier.py
@@ -84,12 +84,12 @@ def test_should_raise_on_invalid_data(self, classifier: Classifier, invalid_data
     ids=lambda x: x.__class__.__name__
 )
 class TestPredict:
-    def test_should_include_features_of_prediction_input(self, classifier: Classifier, valid_data: TaggedTable) -> None:
+    def test_should_include_features_of_input_table(self, classifier: Classifier, valid_data: TaggedTable) -> None:
         fitted_classifier = classifier.fit(valid_data)
         prediction = fitted_classifier.predict(valid_data.features)
         assert prediction.features == valid_data.features
 
-    def test_should_include_complete_prediction_input(self, classifier: Classifier, valid_data: TaggedTable) -> None:
+    def test_should_include_complete_input_table(self, classifier: Classifier, valid_data: TaggedTable) -> None:
         fitted_regressor = classifier.fit(valid_data)
         prediction = fitted_regressor.predict(valid_data.remove_columns(["target"]))
         assert prediction.remove_columns(["target"]) == valid_data.remove_columns(["target"])

diff --git a/tests/safeds/ml/regression/test_regressor.py b/tests/safeds/ml/regression/test_regressor.py
@@ -89,12 +89,12 @@ def test_should_raise_on_invalid_data(self, regressor: Regressor, invalid_data:
     ids=lambda x: x.__class__.__name__
 )
 class TestPredict:
-    def test_should_include_features_of_prediction_input(self, regressor: Regressor, valid_data: TaggedTable) -> None:
+    def test_should_include_features_of_input_table(self, regressor: Regressor, valid_data: TaggedTable) -> None:
         fitted_regressor = regressor.fit(valid_data)
         prediction = fitted_regressor.predict(valid_data.features)
         assert prediction.features == valid_data.features
 
-    def test_should_include_complete_prediction_input(self, regressor: Regressor, valid_data: TaggedTable) -> None:
+    def test_should_include_complete_input_table(self, regressor: Regressor, valid_data: TaggedTable) -> None:
         fitted_regressor = regressor.fit(valid_data)
         prediction = fitted_regressor.predict(valid_data.remove_columns(["target"]))
         assert prediction.remove_columns(["target"]) == valid_data.remove_columns(["target"])