Predicting Recidivism Risk: New Tool in Philadelphia Shows Great Promise
Tool uses random forest modeling to identify probationers likely to reoffend within two years of returning to the community.
Tool uses random forest modeling to identify probationers likely to reoffend within two years of returning to the community.
Watch two experts talk about developing a computerized system that successfully predicts — with a high degree of accuracy — which probationers are likely to violently reoffend within two years of returning to the community.
Drs. Barnes and Hyatt teamed up with the Philadelphia Adult Probation & Parole Department in an NIJ-funded project. Here they discuss:
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