code: def test_dataset_no_label(iris_dataset_no_label, iris_adaboost):
      # Assert
      assert_that(
          calling(SingleDatasetPerformance().run).with_args(
              iris_dataset_no_label, iris_adaboost
          ),
          raises(
              DeepchecksNotSupportedError,
              "Dataset does not contain a label column",
          ),
      )
  
imports: from typing import List
  from hamcrest import assert_that, calling, close_to, equal_to, has_entries, has_items, has_length, instance_of, none, raises
  from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from deepchecks.core import ConditionResult
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks import SingleDatasetPerformance
  from deepchecks.tabular.dataset import Dataset
  from deepchecks.tabular.metric_utils.scorers import DEFAULT_MULTICLASS_SCORERS, DEFAULT_REGRESSION_SCORERS
  from tests.base.utils import equal_condition_result
  from tests.common import is_nan
label_desc: Use image node_id 3 for calling a global function with example usage: test_dataset_no_label(iris_dataset_no_label, iris_adaboost) without return types