Trade-Off Between Accuracy and Interpretability for Predictive<i>In Silico</i>Modeling

Abstract

Results on 16 biopharmaceutical classification tasks demonstrate that, although the opaque methods generally obtain higher accuracies than the transparent ones, one often only has to pay a quite limited penalty in terms of predictive performance when choosing an interpretable model.