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...
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Medienart: | Elektronisch Aufsatz |
Sprache: | Englisch |
Veröffentlicht: |
2017
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In: |
Criminal justice policy review
Jahr: 2017, Band: 28, Heft: 6, Seiten: 570-600 |
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Volltext (Resolving-System) |
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Verfügbarkeit prüfen: | HBZ Gateway |
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