code: def test_run_default_scorer_string_class(
      text_classification_string_class_dataset_mock,
  ):
      # Arrange
      check = SingleDatasetPerformance()
  
      # Act
      result = check.run(
          text_classification_string_class_dataset_mock,
          predictions=["wise", "wise", "meh"],
      )
  
      # Assert
      assert_that(result.value.values[0][-1], close_to(0.666, 0.001))
  
imports: import numpy
  from hamcrest import assert_that, calling, close_to, equal_to, has_items, raises
  from deepchecks.core.errors import DeepchecksValueError, ValidationError
  from deepchecks.nlp.checks.model_evaluation.single_dataset_performance import SingleDatasetPerformance
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 5 for calling a global function with example usage: test_run_default_scorer_string_class(text_classification_string_class_dataset_mock) without return types