code: def test_classification_defaults(mnist_visiondata_train):
      # Arrange
      check = SingleDatasetPerformance()
  
      # Act
      result = check.run(mnist_visiondata_train)
  
      # Assert
      assert_that(result.value.Value.mean(), close_to(0.975, 0.01))
  
file_path: deepchecks/tests/vision/checks/model_evaluation/single_dataset_performance_test.py
imports: from hamcrest import assert_that, close_to, equal_to, has_length
  from ignite.metrics import Accuracy, Precision
  from sklearn.metrics import jaccard_score, make_scorer
  from deepchecks.core import ConditionCategory
  from deepchecks.vision.checks import SingleDatasetPerformance
  from deepchecks.vision.metrics_utils import ObjectDetectionTpFpFn
  from deepchecks.vision.metrics_utils.custom_scorer import CustomClassificationScorer
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 4 for calling a global function with example usage: test_classification_defaults(mnist_visiondata_train) without return types