uding: criminal offences, anti-social behaviour, school exclusion or persistent absence, benefit cap, rent arrears, claims for free school meals, victim of domestic violence and abuse (according to the Niche database), access to drug or alcohol support. The Child at Risk of Criminal Exploitation (CSE) and Child at Risk of Sexual Exploitation (CCE) Models These models highlight forms of vulnerability in individuals drawing on consistent data from across the jurisdiction of Avon and Somerset Police, and while the exploitation models do use some indicators from the TFD, they are not based on the TFD in the same way the NEET model is. This is to allow the Police to profile children across the entire area they operate in, rather than only within Bristol. The CSE & CCE Risk Models final scores show a numerical score for any individual who has scored between 50-100, with higher scores indicating higher vulnerability/risk. The user receives a numerical score for the individual they have looked up as well as a descriptive paragraph briefly detailing the variables the score is summarising. The model complements the other information presented alongside it on TFD dashboards. The CSE/CCE models are developed and used by Avon and Somerset Police. These are 2 separate models, each one combines logistic and decision tree techniques. Each model outcome is a score between 0 and 100, which is considered ‘at risk’ if it’s above 50, in which case, the corresponding risk score is added to the TFD along with some explainer text which lists the indicators in the child’s data contributing to their score. The model is also used separately by the Police team responsible for reducing CCE/CSE, known as Operation TOPAZ. An important advantage of a decision tree as the machine learning method, is th