Prison data analysis finds choosing lowest reoffending risk scores preserves overall accuracy

LearningWire.com brief · 24m ago · 1 min read · via phys.org

Whether an individual reoffends after their release from prison or is successfully rehabilitated depends on several factors. When assessing the risk of recidivism, all of these are taken into account—both by human experts and by machine learning models. If several equally reliabl

Whether an individual reoffends after their release from prison or is successfully rehabilitated depends on several factors. When assessing the risk of recidivism, all of these are taken into account—both by human experts and by machine learning models. If several equally reliabl This story matters for Science & Discovery readers tracking science. Reported by phys.org. Read the full original at the source link below.

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