Characterising the Personality of the Public Safety Offender and Non-offender using Decision Trees: The Case of Colombia
Author
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Masías Hinojosa, Víctor
Author
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Valle, Mauricio
Author
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Amar, José
Author
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Cervantes, Marco
Author
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Brunal, Gustavo
Author
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Crespo, Fernando
Admission date
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2017-04-03T18:48:07Z
Available date
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2017-04-03T18:48:07Z
Publication date
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2016
Cita de ítem
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J. Investig. Psych. Offender Profil. 13: 198–219 (2016)
es_ES
Identifier
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10.1002/jip.1451
Identifier
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https://repositorio.uchile.cl/handle/2250/143436
Abstract
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The aim of this paper was to create a decision tree (DT) to identify personality profiles of offenders against public safety. A technique meeting this requirement was proposed that uses the C4.5 algorithm to derive decision rules for personality profiling of public safety offenders. The Mini-Mult test was used to measure the personality profiles of 238 individuals. With the test results as our database, a C4.5 DT was applied to construct rules that classify each profile into one of two groups, those without and those with records of offences against public safety. The model correctly classified 80% of the personality profiles and delivered a set of decision rules for distinguishing the profiles by group, and the principal personality profiles were interpreted. We conclude that DTs are a promising technique for analysing personality profiles by their offender or non-offender status. Finally, we believe that the development of a classifying model using DT may have practical applications in the Colombian prison system