code: def setUp(self):
      (
          self.X_train,
          self.Y_train,
          self.X_test,
          self.Y_test,
      ) = get_dataset("iris")
  
      eliminate_class_two = self.Y_train != 2
      self.X_train = self.X_train[eliminate_class_two]
      self.Y_train = self.Y_train[eliminate_class_two]
  
file_path: auto-sklearn/test/test_metalearning/test_metalearning.py
imports: from sklearn.datasets import load_breast_cancer
  from autosklearn.classification import AutoSklearnClassifier
  from autosklearn.constants import MULTICLASS_CLASSIFICATION, REGRESSION
  from autosklearn.metalearning.mismbo import suggest_via_metalearning
  from autosklearn.pipeline.util import get_dataset
  from autosklearn.smbo import _calculate_metafeatures, _calculate_metafeatures_encoded
  from autosklearn.util.pipeline import get_configuration_space
  import unittest
label_desc: Use image node_id 1 for calling the Test obj's underlying member method code with example usage: obj.setUp() without return types