The Chicago Department of Public Health (CDPH) conducts routine food inspections of over 15,000 food establishments to ensure the health and safety of their patrons.
The City of Chicago released the training data and source code for the model, allowing anyone to examine the model. We provide the first independent analysis of the model, the data, the predictor variables, the performance metrics, and the underlying assumptions. We present a summary of our findings, share lessons learned, and make recommendations to address some of the issues our analysis unearthed.
Hindsight analysis of the Chicago food inspection forecasting model, 2019
Illinois Institute of Technology
Vinesh Kannan, Matthew Shapiro, and Mustafa Bilgic