def fhalf_score(self):
return self.fbeta_score(<NUM_LIT:0.5>)<EOL>
Return :math:`F_{0.5}` score.

        The :math:`F_{0.5}` score emphasizes precision over recall in
        comparison to the :math:`F_{1}` score

        Cf. https://en.wikipedia.org/wiki/F1_score

        Returns
        -------
        float
            The :math:`F_{0.5}` score of the confusion table

        Example
        -------
        >>> ct = ConfusionTable(120, 60, 20, 30)
        >>> ct.fhalf_score()
        0.8450704225352114