Interpretable Classification Models for Recidivism Prediction

We investigate a long-debated question, which is how to create predictive models of recidivism that are sufficiently accurate, transparent, and interpretable to use for decision-making. This question is complicated as these models are used to support different decisions, from sentencing, to determin...

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Bibliographic Details
Main Author: Rudin, Cynthia (Author)
Contributors: Zeng, Jiaming ; Ustun, Berk
Format: Electronic Article
Language:English
Published: 2016
In: Journal of the Royal Statistical Society. Series A, Statistics in society
Year: 2016
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