Using Machine Learning Algorithms to Determine the Food Insecurity Level of Households of Public School Children

• Main Authors: Cruz, Arnold Dela, Gallegos, Nathaniel Isaiah, Gattud, Kyle Aiden, Antonio, Victor A, Miro, Eden Delight, Go, Clark C
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: Applied Mathematics; Food Security; Mathematics; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/mathematics-faculty-pubs/251; https://doi.org/10.1063/5.0192150
• Institution: Ateneo De Manila University

Hunger and food insecurity continue to rise in the shadow of the COVID-19 pandemic affecting many vulnerable groups, especially children. As food is one of many fundamental human rights, looking into the problem contributes to helping uphold this basic right. Using survey data collected from househo...