Balancing the Costs of Forecasting Errors in Parole Decisions

By Richard A. Berk. 2010

7 citations recorded by the source corpus.

How researchers see this paper

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

1. Cynthia Rudin
2. Berk Ustun
3. Jiaming Zeng
4. Tong Wang
5. Nadia Burkart
6. Lesia Semenova
7. Ş. Ertekin
8. Zhi Chen

Citations in the corpus

• Interpretable classification models for recidivism prediction (2015, methodology): “The method was originally developed by Breiman (2001a) but is widely used for prediction of recidivism (see, for example, Berk et al. (2009) and Ritter (2013)). (e) SVMs are a popular black box method for non-parametric linear classification. The RBF kernel lets the method handle classification prob”