To establish trust between the public and the Seattle Police Department (SPD), it is imperative that there is accountability and transparency with SPD’s processes and procedures. In this project, we build a machine learning model that can be used to predict and audit adequate Use of Force (UOF) by officers based on the nature of a dispatch event. The model developed through this project can serve as a tool for the SPD to identify and understand deviance from regular trends to guide police training and will also help to identify whether UOF is being accurately reported.