The results of this experiment are shown in Figure . We also varied our training times by 2 orders of magnitude since our initial sweep which set the model architecture did not utilize this new input in its hyperparameter selection and we do not know how long the model would need to train. We also evaluated every active learning selection criteria with this new In this experiment we only ran 1 seed on 1 fold of the data, and only used the NIG regression approach to active learning.