def get_sensitivity(self, scalar=None):
<EOL>if ((not self._scalar_stats and not scalar and self._num_classes > <NUM_LIT:2>) or<EOL>((scalar is False or self._scalar_stats is False) and self._num_classes > <NUM_LIT:1>)):<EOL><INDENT>return pd.Series(PrettyDict([(k, safe_div(self[k][k], self.loc[k].sum())) for k in self.columns]))<EOL><DEDENT>return self._binary_sensitivity<EOL>
True Positive Rate = TP / P = Num_True_Positive / (Num_True_Postive + Num_False_Negative)