def METHOD_NAME(self):
    train_data, test_data, y_train, y_test, feature_names = \
        create_housing_data()
    train_data = pd.DataFrame(train_data, columns=feature_names)
    test_data = pd.DataFrame(test_data, columns=feature_names)
    model = create_sklearn_random_forest_regressor(train_data, y_train)
    train_data[LABELS] = y_train
    test_data[LABELS] = y_test
    self.validate_rai_insights_for_non_large_data(
        model, train_data, test_data, LABELS, [], 'regression')