code: def test_model_equality_classification():
      exp = ClassificationExperiment()
      exp.setup(
          pycaret.datasets.get_data("juice"),
          target="Purchase",
      )
      check_exp(exp, cross_validation=False)
  
file_path: pycaret/tests/test_models.py
imports: from unittest.mock import patch
  import numba
  import pytest
  from numba.core.dispatcher import Dispatcher
  import pycaret.datasets
  from pycaret.anomaly import AnomalyExperiment
  from pycaret.classification import ClassificationExperiment
  from pycaret.clustering import ClusteringExperiment
  from pycaret.regression import RegressionExperiment
  from pycaret.time_series import TSForecastingExperiment
label_desc: Use image node_id 3 for calling a global function with example usage: test_model_equality_classification() without return types