Explainable machine learning for predicting homicide clearance in the United States

Gian Maria Campedelli

Journal of Criminal Justice, 2022, vol. 79, issue C

Abstract: To explore the potential of Explainable Machine Learning in the prediction and detection of drivers of cleared homicides at the national- and state-levels in the United States.

Keywords: Murder Accountability Project; Explainable Artificial Intelligence; SHAP; Algorithmic criminology; Homicide (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:79:y:2022:i:c:s0047235222000186

DOI: 10.1016/j.jcrimjus.2022.101898

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