code: def setUpClass(cls):
      cls.X, cls.y = datasets.make_classification(
          n_samples=100,
          n_features=5,
          n_informative=4,
          n_redundant=1,
          n_classes=2,
          n_clusters_per_class=3,
          n_repeated=0,
          shuffle=False,
          random_state=0,
      )
  
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.xgboost import XgbAlgorithm, additional
  from supervised.utils.metric import Metric
  from supervised.utils.constants import BINARY_CLASSIFICATION
  import tempfile
label_desc: Use image node_id 1 for calling the XgboostAlgorithmTest obj's underlying member method code with example usage: obj.setUpClass(cls) without return types