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Number: NCJ 240696     Find in a Library Title: Predicting
Recidivism Risk: New Tool in Philadelphia Shows Great Promise
Journal: NIJ Journal  Issue:271  Dated:February
2013  Pages:4 to 13 Author(s): Nancy Ritter Date Published:
02/2013 Page Count: 10 Document: HTML PDF  Language: English
Country: United States of America Annotation: This article
discusses the Philadelphia Police Department’s use of a
computerized system to predict with greater accuracy which
probationers would be more likely to reoffend. Abstract: This
article discusses the random forest model, a computerized system
developed by criminologists from the University of Pennsylvania
and officials with the Philadelphia Department of Adult
Probation and Parole to more accurately predict which
probationers would be more likely to reoffend within two years
of returni