Jean-Daniel Zucker

A Provable Algorithm for Learning Interpretable Scoring Systems

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 quickly perform stratification. Ideally, a scoring system is based on simple arithmetic operations, is spar…