Applying XGBoost, Neural Networks, and Oversampling in the Undernutrition Classification of School-Aged Children in the Philippines
In the Philippines, one in five school-aged children are affected by undernutrition, increasing their risk of physical and cognitive development. The Department of Education (DepEd) attempts to address this issue by targeting children with low body mass index (BMI) for their school-based feeding pro...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | text |
| Published: |
Archīum Ateneo
2024
|
| Subjects: | |
| Online Access: | https://archium.ateneo.edu/mathematics-faculty-pubs/301 https://doi.org/10.1063/5.0213404 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|