where µ(x) and σ(x) are the mean and standard deviation of the regressor for molecule x, and β is a parameter controlling the degree of exploration (high β increases the chances that a molecule with moderate score but high uncertainty will be picked). The effects of the choice of machine learning model and acquisition function, as well as other active learning hyperparameters, are discussed later.