Using decision tree algorithms to screen individuals at risk of entry into sexual recidivism

Patrick Lussier, Nadine Deslauriers-Varin, Justine Collin-Santerre and Roxane Bélanger

Journal of Criminal Justice, 2019, vol. 63, issue C, 12-24

Abstract: •Decision-tree algorithms (DTA) can be used to examine the risk profiles of convicted offenders.•DTA highlight the importance of the offender's age at assessment as key risk factor.•DTA findings suggest that risk factors of sexual recidivism vary across age-groups.•DTA provide comparable predictive value compared to that based on logistic regression.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:63:y:2019:i:c:p:12-24

DOI: 10.1016/j.jcrimjus.2019.05.003

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