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Supersparse Linear Integer Models for Interpretable Classification

Published in arXiv (Cornell University) • Jun 27, 2013
NobleIDNI1P96W50R91S62
Authors:
Berk Ustun
,
Stefano Tracà
,
Cynthia Rudin

Abstract

Scoring systems are classification models that only require users to add, subtract and multiply a few meaningful numbers to make a prediction. These models are often used because they are practical and interpretable. In this paper, we introduce an off-the-shelf tool to create scoring systems that bo...

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