Prediction of Women Obesity using Naive Baye's Algorithm

Abstract

Obesity is a familiar problem nowadays and in women within age 19-35 can cause infertility, miscarriage, heart diseases, diabetes, hypertension, arthritis etc. Every year the percentage of obesity is increasing. Predicting obesity at an earlier stage will be helpful for people to be more cautious about their health. The data sets of women within the age 19-35 are collected from various sources. The risk factors causing obesity is considered and Naive Baye's algorithm is applied to predict the obesity. The main aim of this work is to show the society, the adverse effect of being obese and also to analyze the risk factors causing obesity. Accuracy of the Naive Baye's model is calculated and results show that the algorithm can be applied for better prediction which can be used by doctors, patients, biomedical researchers.