This competition challenges participants to develop a machine learning model that predicts whether a child under 2 years old is at risk of malnutrition.  

The dataset is synthetic but designed to reflect realistic health and demographic patterns from Ecuadorian regions.  

Your goal is to build an accurate and reliable classification model.