code: def create_sklearn_random_forest_classifier(self, X, y):
      rfc = RandomForestClassifier(
          n_estimators=10, max_depth=4, random_state=777
      )
      model = rfc.fit(X, y)
      return model
  
file_path: DiCE/tests/test_model.py
imports: import pytest
  from rai_test_utils.datasets.tabular import create_iris_data
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.ensemble import RandomForestClassifier
  import dice_ml
  from dice_ml.utils import helpers
label_desc: Use image node_id 1 for calling the TestModelUserValidations obj's underlying member method code with example usage: obj.create_sklearn_random_forest_classifier(X, y) and returns: model