تجزیه و تحلیل داده‌های زندان نشان می‌دهد که انتخاب کمترین امتیاز خطر جرم مجدد، دقت کلی را حفظ می‌کند

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

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 reliable computational models produce different risk ratings, the lowest value should be used for the individual concerned, suggest Ashwin Singh…