code: def test_classification_binary_string_labels(
      iris_binary_string_split_dataset_and_model,
  ):
      # Arrange
      (
          train_ds,
          test_ds,
          clf,
      ) = iris_binary_string_split_dataset_and_model
      check = SimpleModelComparison()
      # Act X
      result = check.run(train_ds, test_ds, clf).value
      # Assert
      assert_classification(result, ["a", "b"])
  
imports: from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_entry, has_items, has_length, is_, raises
  from sklearn.metrics import f1_score, get_scorer, make_scorer, recall_score
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.model_evaluation import SimpleModelComparison
  from deepchecks.tabular.metric_utils.scorers import get_default_scorers
  from deepchecks.tabular.utils.task_type import TaskType
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 5 for calling a global function with example usage: test_classification_binary_string_labels(iris_binary_string_split_dataset_and_model) without return types