Assessing the Predictive Utility of Logistic Regression, Classification and Regression Tree, Chi-Squared Automatic Interaction Detection, and Neural Network Models in Predicting Inmate Misconduct

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This study assesses the relative utility of a traditional regression approach - logistic regression (LR) - and three classification techniques - classification and regression tree (CART), chi-squared automatic interaction detection (CHAID), and multi-layer perceptron neural network (MLPNN)—in predic...

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Bibliographic Details
Authors: Ngo, Fawn T. (Author) ; Govindu, Ramakrishna (Author) ; Agarwal, Anurag (Author)
Format: Electronic Article
Language:English
Published: 2015
In: American journal of criminal justice
Year: 2015, Volume: 40, Issue: 1, Pages: 47-74
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Keywords:
Inmate misconduct
Importation model
Neural networks
Chi-squared automatic interaction detection
Classification and regression tree
Logistic regression
Comparative statistical techniques
Actuarial risk assessment techniques