Employing Supervised Machine Learning Algorithms For Classification And Prediction Of Anemia Among Youth Girls In Ethiopia

This article discusses the use of machine learning algorithms for classification and prediction in addressing real-world problems. The study focuses on predicting anemia and identifying its predictors using advanced machine learning techniques. The findings can be used by policymakers to plan effective interventions to prevent anemia in vulnerable populations.