code: def setUpClass(self):
      from sklearn.datasets import load_boston
      from sklearn.tree import DecisionTreeClassifier
  
      # Load data and train model
      scikit_data = load_boston()
      self.scikit_data = scikit_data
      self.X = scikit_data.data.astype("f").astype(
          "d"
      )  ## scikit-learn downcasts data
      self.target = 1 * (
          scikit_data["target"] > scikit_data["target"].mean()
      )
      self.feature_names = scikit_data.feature_names
      self.output_name = "target"
  
imports: import os
  import itertools
  import pandas
  import unittest
  from coremltools._deps import _HAS_SKLEARN
  from coremltools.models.utils import evaluate_classifier, _macos_version, _is_macos
  import pytest
label_desc: Use image node_id 1 for calling the DecisionTreeBinaryClassificationBostonHousingScikitNumericTest obj's underlying member method code with example usage: obj.setUpClass() without return types