A Model for Predicting the Class of Illicit Drug Suspects and Offenders

In this study, the artificial neural network was deployed to develop a classification model for predicting the class of a drug-related suspect into either the drug peddler or non-drug peddler class. A dataset consisting of 262 observations on drug suspects and offenders in central Nigeria was used t...

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Bibliographic Details
Authors: Atsa'am, Donald D. (Author) ; Balogun, Oluwafemi S. (Author) ; Agjei, Richard O. (Author) ; Devine, Samuel N. O. (Author) ; Akingbade, Toluwalase J. (Author) ; Omotehinwa, Temidayo O. (Author)
Format: Electronic Article
Language:English
Published: 2022
In: Journal of drug issues
Year: 2022, Volume: 52, Issue: 2, Pages: 168-181
Online Access: Volltext (lizenzpflichtig)
Check availability: HBZ Gateway
Keywords:
Artificial neural network
Classification model
Suspect classification
Drug Trafficking
Drug use