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                                    Predicting Recidivism Risk: New Tool In Philadelphia Shows Great Promise

      

                    
          
    Predicting Recidivism Risk: New Tool in Philadelphia Shows Great Promise
“As ever-increasing numbers of offenders are supervised in the community - witness the massive “realignment” of prisoners in California - parole and probation departments must find the balance between dwindling dollars and the lowest possible risk to public safety. The good news is that researchers and officials in Philadelphia, Pa., believe they have developed a tool that helps find that balance” (p. 4). This article explains how your jurisdiction can use a random forest risk-forecasting tool. Sections of this article cover: what random forest modeling is; pre-random forest times; getting started; forecast begin- and end-points; determining an acceptable error rate; accuracy; the benefits of random forest modeling; resources, equity, and fairness; the role of ethics in statistical forecasting; the key-a strong partnership; and recommendations from the research.Accession Number
              027548

      
  
  Publication Year
              2013

  Authors
          Nancy Ritter

  Series
          NIJ Journal
Tags
    Probation
          Recidivism
          Pennsylvania
          Incarcerated Individual assessment
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