A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending

Liu, Yuan Y.; Yang, Mingshi; Ramsay, Malcolm; Li, Xiao S.; Coid, Jeremy W.

doi:10.1007/s10940-011-9137-7

A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending

Previous studies that have compared logistic regression (LR), classification and regression tree (CART), and neural networks (NNs) models for their predictive validity have shown inconsistent results in demonstrating superiority of any one model. The three models were tested in a prospective sample...

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Bibliographische Detailangaben
1. VerfasserIn:	Liu, Yuan Y. (VerfasserIn)
Beteiligte:	Yang, Mingshi 1660-1736 ; Ramsay, Malcolm ; Li, Xiao S. ; Coid, Jeremy W.
Medienart:	Elektronisch Aufsatz
Sprache:	Englisch
Veröffentlicht:	2011
In:	Journal of quantitative criminology Jahr: 2011, Band: 27, Heft: 4, Seiten: 547-573
Online-Zugang:	Volltext (lizenzpflichtig) Volltext (lizenzpflichtig)
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Verfügbarkeit prüfen:	HBZ Gateway
Schlagwörter:	HCR-20 Classification and regression tree Neural networks Risk Assessment Violence reconviction