<p>In 2020, Rwanda recorded a 33% prevalence of stunting. Malnutrition is responsible for 45% of all child deaths worldwide. Stunting in children under the age of five remains an issue in Rwanda, despite the government's significant achievement in lowering infant mortality. Machine learning is currently a key component in predicting and evaluating treatment outcomes, as well as determining nutritional status in children under the age of five. Hence, building a model capable of predicting stunting in Rwandan children is crucial, so that early identification and treatment of stunting are made.</p>