About this document
Machine Learning Insights on Ethiopia by Yoseph is a document available to read on EtoBox.
This study utilizes machine learning to analyze the Ethiopia Demographic and Health Survey (EDHS-2019) data to predict determinants of unimproved water supply in Ethiopia. The Random Forest model outperformed other models, identifying community-level poverty as the most significant predictor of water access. The findings emphasize the need for targeted interventions in high-poverty areas to address the ongoing water crisis in Ethiopia.
- Author
- Yoseph
- Language
- EN