Interpretable machine learning as a tool for scientific discovery in chemistry
Richard Dybowski · New Journal of Chemistry · 2020
There has been an upsurge of interest in applying machine learning to chemistry, and impressive predictive accuracies have been achieved, but this has been done without providing any insight into what has been learnt from the training data.