predicting-activity-by-machine-learning. Machine learning protocols for identifying biological activity determinants in the structural and chemical features of a set of small molecules that have been assayed. Useful for structure-activity relationship analysis of compounds identified by Screenlamp and other screening approaches. See Raschka et al. (2018) (ISBN 1-4939-7755-5)