code: def test_regression_uniform(diabetes_split_dataset_and_model):
      train_ds, test_ds, clf = diabetes_split_dataset_and_model
      # Arrange
      check = SimpleModelComparison(strategy="uniform")
      # Act X
      result = check.run(train_ds, test_ds, clf).value
      # Assert
      assert_regression(result)
  
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 12 for calling a global function with example usage: test_regression_uniform(diabetes_split_dataset_and_model) without return types