def human_and_11(X, y, model_generator, method_name):
    """ AND (true/true)

    This tests how well a feature attribution method agrees with human intuition
    for an AND operation combined with linear effects. This metric deals
    specifically with the question of credit allocation for the following function
    when all three inputs are true:
    if fever: +2 points
    if cough: +2 points
    if fever and cough: +6 points

    transform = "identity"
    sort_order = 2
    """
    return _human_and(X, model_generator, method_name, True, True)
AND (true/true)

    This tests how well a feature attribution method agrees with human intuition
    for an AND operation combined with linear effects. This metric deals
    specifically with the question of credit allocation for the following function
    when all three inputs are true:
    if fever: +2 points
    if cough: +2 points
    if fever and cough: +6 points

    transform = "identity"
    sort_order = 2