Impact of Income Level of an Individual on his BMI and Performance Analysis using Various Machine Learning Approaches on ATUS Survey 2014–16

Body Mass Index(BMI) is widely accepted as a measure to assess various health risks of a person. Eating habits, stress and lifestyle followed by an individual are some of the factors that affect our health. All these contribute towards an increased BMI and in turn to more health issues related to overweight and obesity. In this paper, the American Time Use Survey (ATUS) Eating & Health Module Files from 2014 survey is used to predict the BMI of people based on their income and through it, we try to establish a relationship between overweight/obese likely based on the income of the family. To do this analysis different machine learning algorithms will be used and finally a comparison of all the algorithms are done with the help of ROC curve.