code: def test_custom_init(self):
      X = np.random.uniform(size=(60, 2))
      y = np.random.randint(0, 2, size=(60,))
  
      automl = AutoML(
          results_path=self.automl_dir,
          model_time_limit=10,
          algorithms=["Xgboost"],
          mode="Compete",
          explain_level=0,
          start_random_models=1,
          hill_climbing_steps=0,
          top_models_to_improve=0,
          kmeans_features=False,
          golden_features=False,
          features_selection=False,
          boost_on_errors=False,
      )
      automl.fit(X, y)
  
      self.assertFalse(
          os.path.exists(
              os.path.join(self.automl_dir, "1_DecisionTree")
          )
      )
  
file_path: mljar-supervised/tests/tests_automl/test_adjust_validation.py
imports: import os
  import unittest
  import tempfile
  import json
  import numpy
  import pandas
  import shutil
  from supervised import AutoML
  from supervised.exceptions import AutoMLException
label_desc: Use image node_id 2 for calling the AutoMLAdjustValidationTest obj's underlying member method code with example usage: obj.test_custom_init() without return types