where t tot is the total number of timesteps, µ To complete the error metric, the variance of the predictions needs to be calculated. At high temperatures, the variance allows us to conclude whether our predictions are robust, in addition to be accurate. However, at low temperatures, where the bias cannot be computed, the variance is the only metric available in order to estimate the reliability of the kMC predictions.