def METHOD_NAME(mnist_visiondata_train, mnist_visiondata_test):
    # Arrange
    check = SimpleModelComparison().add_condition_gain_greater_than(0.968)
    # Act X
    result = check.run(mnist_visiondata_train, mnist_visiondata_test)
    # Assert
    assert_that(result.conditions_results, has_items(
        equal_condition_result(
            is_pass=False,
            name='Model performance gain over simple model is greater than 96.8%',
            details='Found metrics with gain below threshold: {\'F1\': {\'1\': \'95.09%\'}}')
    ))