دورية أكاديمية

A discussion of current crime forecasting indices and an improvement to the prediction efficiency index for applications.

التفاصيل البيبلوغرافية
العنوان: A discussion of current crime forecasting indices and an improvement to the prediction efficiency index for applications.
المؤلفون: White, Veronica M., Hunt, Joel, Green, Brannon
المصدر: Security Journal; Mar2024, Vol. 37 Issue 1, p47-64, 18p
مصطلحات موضوعية: CRIME forecasting, FORECASTING, RESOURCE allocation, CRIME analysis
مستخلص: Hot-spot maps regularly aid many policing resource allocation decisions in today's data-driven age. However, it is unclear what forecasting algorithm(s) should be used to create these maps. To address this gap, we must be able to assess how "good" a generated hot-spot map is. Currently, four main metrics are used for evaluation: the prediction accuracy index (PAI), the recapture rate index (RRI), the prediction efficiency index (PEI), and the prediction efficiency index* (PEI*). This article discusses PAI, RRI, and PEI's strengths and weaknesses, articulates and justifies PEI*, and demonstrates the differences in calculations and interpretations of each metric. We argue that PEI* measures the efficiency of a crime forecasting algorithm while being operationally realistic and should be used in conjunction with other appropriate measures. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:09551662
DOI:10.1057/s41284-023-00367-4