Obesity is a global public health issue with serious consequences on physical and mental health. Numerous studies suggest that obesity is influenced by behavioral, dietary, and genetic factors. Early prediction of obesity based on lifestyle variables can help in creating targeted interventions. This study aims to explore obesity prediction using various classification techniques, utilizing a dataset containing demographic and behavioral health data.

Statistical analysis of top fielders

Statistical analysis of top bowlers