Active learning is the field of machine learning dedicated to identifying the input parameters one at a time to augment computer simulations . Two standard methods are the active learning MacKay (ALM) and active learning Cohn (ALC) . While the ALM aims at maximizing the predicted variance, the ALC targets the maximization of the expected average variance. The next two sections define the ALM and ALC in the context of EIS.