Predicting health risk using random forest algorithm
The Behavioral Risk Factor Surveillance System (BRFSS) is the nation's premier system of health-related telephone surveys that collect state data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. Established in 1984 with 15 states, BRFSS now collects data in all 50 states as well as the District of Columbia and three U.S. territories. BRFSS completes more than 400,000 adult interviews each year, making it the largest continuously conducted health survey system in the world.
The following data set is from the Centers for Disease Control and Prevention (CDC) and includes socioeconomic and lifestyle indicators for hundreds of thousands of individuals. The objective is to predict the overall health of an individual: either 0 for poor health or 1 for good health. We'll limit the data to 100,000 individuals to speed up training.
The Kaggle dataset is available at https://www.kaggle.com/datasets/cdc/behavioral-risk-factor-surveillance-system