LIBRE: Learning Interpretable Boolean Rule Ensembles

Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi

Abstract: We present a novel method—LIBRE—learn an interpretable classifier, which materializes as a set of Boolean rules. LIBRE uses an ensemble of bottom-up, weak learners operating on a random subset of f...