code: def setUpClass(cls):
      cls.X, cls.y = datasets.make_regression(
          n_samples=100,
          n_features=5,
          n_informative=4,
          n_targets=1,
          shuffle=False,
          random_state=0,
      )
  
file_path: mljar-supervised/tests/tests_algorithms/test_decision_tree.py
imports: import unittest
  import tempfile
  import json
  import numpy
  import pandas
  import os
  from numpy.testing import assert_almost_equal
  from sklearn import datasets
  from supervised.algorithms.decision_tree import DecisionTreeAlgorithm, DecisionTreeRegressorAlgorithm
  from supervised.utils.metric import Metric
  import tempfile
label_desc: Use image node_id 1 for calling the DecisionTreeTest obj's underlying member method code with example usage: obj.setUpClass(cls) without return types