def aic(log_likelihood, k):
    """Returns the score for the Akaike information criterion (AIC-score) for the given log-likelihood and number
        of parameters k.

    :param log_likelihood: The maximized value of the likelihood function for the model
    :type log_likelihood: float
    :param k: The number of parameters
    :type k: int
    :return: The score for the Akaike information criterion (AIC-score) for the given log-likelihood and number of
        parameters k
    :rtype: float
    """
    return 2 * k - 2 * log_likelihood