<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def matthewscc(self, use_global=False):
 """ Calculate the Matthew's Correlation Coefficent """

        if use_global:
            if not self.global_total_examples:
                return 0.

            true_pos = float(self.global_true_positives)
            false_pos = float(self.global_false_positives)
            false_neg = float(self.global_false_negatives)
            true_neg = float(self.global_true_negatives)
        else:
            if not self.total_examples:
                return 0.

            true_pos = float(self.true_positives)
            false_pos = float(self.false_positives)
            false_neg = float(self.false_negatives)
            true_neg = float(self.true_negatives)

        terms = [(true_pos + false_pos),
                 (true_pos + false_neg),
                 (true_neg + false_pos),
                 (true_neg + false_neg)]
        denom = 1.
        for t in filter(lambda t: t != 0., terms):
            denom *= t
        return ((true_pos * true_neg) - (false_pos * false_neg)) / math.sqrt(denom)