def METHOD_NAME(self):
    test_data = self.__create_test_data()
    result = RemoveOutliers(
        test_data['df'],
        test_data['column_types'],
        test_data['statistics'],
        custom_config=dict(max_z_score=2),
    ).evaluate()
    self.assertEqual(
        result,
        [
            dict(
                title='Remove outliers',
                message='Remove 1 outlier(s) and null values to reduce the amount of '
                        'noise in this column.',
                status='not_applied',
                action_payload=dict(
                    action_type='filter',
                    action_arguments=['number3'],
                    action_code='number3 <= 1491.0900000000001 and'
                    ' number3 >= 339.40999999999997',
                    action_options={},
                    action_variables={},
                    axis='row',
                    outputs=[],
                ),
            ),
        ],
    )