In cases of bad calibration (either average or local) one can do a re-calibration based on a validation set. Typically this is done by minimizing the NLL for the validation set. The NLL assumes normally distributed errors, so as an alternative we propose a re-calibration based on the linear error-based calibration fit of the validation set.