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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