A Provable Algorithm for Learning Interpretable Scoring Systems

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker

Abstract: Score learning aims at taking advantage of supervised learning to produce interpretable models which facilitate decision making. Scoring systems are simple classification models that let users quic...