def get_false_negative(self, scalar=True):
ans = pd.Series(PrettyDict([(k, safe_div(np.sum(self.loc[k]) - self[k][k],<EOL>np.sum(self.sum() - self.loc[k]))) for k in self.columns]))<EOL>if (not self._scalar_stats and not scalar) or self._num_classes != <NUM_LIT:2>:<EOL><INDENT>return ans<EOL><DEDENT>return ans[self._pos_label]<EOL>
Normalized false positive rate (0 <= fp <= 1)