def METHOD_NAME(
    cls: Any, column: str, threshold: float, data_label: str, **kwargs: Any
) -> np.ndarray:
    """
    Implement the yes/no question for the expectation
    """
    labeler = dp.DataLabeler(labeler_type="structured")
    labeler.postprocessor.set_params(is_pred_labels=False)
    results = labeler.predict(
        column,
        predict_options={"show_confidences": True},
    )
    if data_label.upper() in labeler.label_mapping.keys():
        data_label_ind = labeler.label_mapping[data_label.upper()]
    else:
        raise ValueError(
            """
            The only values acceptable for the data label parameter are as follows:
            ['PAD', 'UNKNOWN', 'ADDRESS', 'BAN', 'CREDIT_CARD', 'DATE', 'TIME', 'DATETIME',\
                'DRIVERS_LICENSE', 'EMAIL_ADDRESS', 'UUID', 'HASH_OR_KEY', 'IPV4', 'IPV6',\
                'MAC_ADDRESS', 'PERSON', 'PHONE_NUMBER', 'SSN', 'URL', 'US_STATE', 'INTEGER',\
                'FLOAT', 'QUANTITY', 'ORDINAL']
        """
        )
    data_label_conf = results["conf"][:, data_label_ind]
    return data_label_conf >= threshold