Out With the Old and in With the New? An Empirical Comparison of Supervised Learning Algorithms to Predict Recidivism
Recent research has produced mixed results as to whether newer machine learning algorithms outperform older, more traditional methods such as logistic regression in predicting recidivism. In this study, we compared the performance of 12 supervised learning algorithms to predict recidivism among offe...
Autor principal: | |
---|---|
Otros Autores: | |
Tipo de documento: | Electrónico Artículo |
Lenguaje: | Inglés |
Publicado: |
2017
|
En: |
Criminal justice policy review
Año: 2017, Volumen: 28, Número: 6, Páginas: 570-600 |
Acceso en línea: |
Volltext (Resolving-System) |
Journals Online & Print: | |
Verificar disponibilidad: | HBZ Gateway |
Palabras clave: |