 those at risk of not being in education, employment or training. This model is composed of three internal logistic regression ‘sub-models’ trained on a cohort of 1,000 individuals, which feed into the final NEET model risk score. They are: the attendance model, attainment model, and Supporting Families model.  CSE model – to identify children at risk from sexual exploitation. This model was trained using the Barnados Against Sexual Exploitation (BASE) cohort of around 1,000 children known to have 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 Page loads Quarter starting date Triage Social Care Early Intervention Other Social Finance Limited +44 (0) 20 7770 6836 87 Vauxhall Walk, London SE11 5HJ socialfinance.org.uk 15 been sexually exploited, alongside a set of children assumed not to be at risk, taken from the Police database.  CCE model – was used to identify children at risk from criminal exploitation. This model used 27 predictor variables, all drawn from the Niche database (the Police’s crime recording system). The variables are counts of occurrences within certain time periods where a child is reported as missing, or as the victim or offender in domestic abuse, violence, a public order offence, a sexual offence, or as the victim of a vehicle offence. The CSE and CCE models, which have been recently decommissioned, were based on data across the jurisdiction of Avon and Somerset Police and don’t use TFD data as the NEET model does. This is to allow the Police to profile children across the entire Avon and Somerset Police boundary, rather than in Bristol alone. Why were the targeted risk models created? The development of the targeted risk models arose from a need to provide information around complex issues that practitioners were largely unable to access and the