Sacrificing Accuracy for Transparency in Recidivism Risk Assessment: The Impact of Classification Method on Predictive Performance

By G. Duwe, KiDeuk Kim. 2016

24 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Madars Virza
2. Karthik Dinakar
3. Chelsea Barabas
4. Joichi Ito
5. Jonathan L. Zittrain
6. Momin M. Malik

In Sociology and Political Science

1. Madars Virza
2. Karthik Dinakar
3. Chelsea Barabas
4. Joichi Ito
5. Jonathan L. Zittrain
6. Momin M. Malik

Citations in the corpus

• Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment (2017, background): “For example, Kim and Duwe show [20] how supervised machine learning models outperform classical regression models for predicting recidivism.”
• Optimized Risk Scores (2017, unknown): “, the validated performance of CHADS2 in [22], and heuristic risk scores in [8]).”