Predicting age at onset of childhood obesity using regression, Random Forest, Decision Tree, and K-Nearest Neighbour-A case study in Saudi Arabia.

Childhood and adolescent overweight and obesity are one of the most serious public health challenges of the 21st century. A range of genetic, family, and environmental factors, and health behaviors are associated with childhood obesity. Developing models to predict childhood obesity requires careful examination of how these factors contribute to the emergence of childhood obesity.