Predicting which soldiers will commit severe, violent crimes
Tuesday, October 6, 2015 - 09:20
in Mathematics & Economics
A new report shows that a machine learning model using Department of Defense and Army administrative records was able to identify in advance the 5 percent of US Army soldiers serving from 2004 to 2009 who later committed more than one-third of all major Army workplace violent crimes over that time period.