分类器模型,用于预测设施是否通过食品安全检查。
This dataset contains information from inspections of restaurants and other food establishments in Chicago from July 1, 2018 to September 25, 2018. It has 15 columns and 2701 rows of data.
Mining Goal: We want to predict if a facility (restaurant or other) will pass or fail in the food inspection visit by a staff member from the Chicago Department of Public Health.
Class Attribute: Result (Not ready, no entry, pass, pass with conditions, pass, fail) is the class attribute.
Dataset Source: https://data.cityofchicago.org/Health-Human-Services/Food-Inspections/4ijn-s7e5
Data Owner: Chicago Department of Public Health