code: def test_default_iris(self):
      if self.__class__ == BaseClassificationComponentTest:
          return
  
      for i in range(2):
          predictions, targets, n_calls = _test_classifier(
              dataset="iris", classifier=self.module
          )
          self.assertAlmostEqual(
              self.res["default_iris"],
              sklearn.metrics.accuracy_score(targets, predictions),
              places=self.res.get("default_iris_places", 7),
          )
  
          if self.res.get("iris_n_calls"):
              self.assertEqual(self.res["iris_n_calls"], n_calls)
  
imports: from typing import Dict, Optional
  import numpy
  import sklearn.metrics
  from autosklearn.pipeline.constants import SPARSE
  from autosklearn.pipeline.util import _test_classifier, _test_classifier_iterative_fit, _test_classifier_predict_proba
  import unittest
  from test.test_pipeline.ignored_warnings import classifier_warnings, ignore_warnings
label_desc: Use image node_id 1 for calling the BaseClassificationComponentTest obj's underlying member method code with example usage: obj.test_default_iris() without return types