def correctly_classified_negatives(negatives, threshold):
    """Evaluates correctly classifed negatives in a set, based on a threshold

    This method returns an array composed of booleans that pin-point, which
    negatives where correctly classified for the given threshold

    The pseudo-code for this function is:

    .. code-block:: python

       classified = []
       for k in negatives:
           if k < threshold:
               classified.append(True)
           else:
               classified.append(False)


    Parameters
    ==========

    negatives : numpy.ndarray (1D, float)

        The scores generated by comparing objects of different classes

    threshold : float

        The threshold, for which scores should be considered to be
        correctly classified


    Returns
    =======

    classified : numpy.ndarray (1D, bool)

        The decision for each of the ``negatives``

    """
    return negatives < threshold