h2o-py/h2o/model/metrics_base.py
def mean_per_class_error(self, thresholds=None):
        """
        :param thresholds: thresholds parameter must be a list (i.e. [0.01, 0.5, 0.99]). If None, then the
            thresholds in this set of metrics will be used.
        :returns: mean per class error.
        """
        return [[x[0], 1 - x[1]] for x in self.metric("mean_per_class_accuracy", thresholds=thresholds)]
def mean_per_class_error(self, thresholds=None):
        """
        :param thresholds: thresholds parameter must be a list (i.e. [0.01, 0.5, 0.99]). If None, then the
            thresholds in this set of metrics will be used.
        :returns: mean per class error.
        """
        return [[x[0], 1 - x[1]] for x in self.metric("mean_per_class_accuracy", thresholds=thresholds)]
:param thresholds: thresholds parameter must be a list (i.e. [0.01, 0.5, 0.99]). If None, then the
            thresholds in this set of metrics will be used.
        :returns: mean per class error.