computed as the unbiased estimator of the population standard deviation. In the following, we compute s as defined above, but note that for a low number of committee members, a correction to the underestimation of the true population standard deviation by the committee standard deviation can be applied. The mean ŷ is subsequently used as overall model prediction and s as an estimator of the model uncertainty. Repeating this experiment (i.e. training N C models and averaging their predictions ŷl to ŷ) multiple times would reveal that ŷ is distributed around the target with a standard deviation of s ŷ = s/ √ N C . Choosing the target y = 0 we can, without loss of generality, then obtain the expectation value of the absolute error via