Evaluation of machine learning models based on household food insecurity data in Indonesia
Household food insecurity is a critical issue, and accurate prediction models are essential for identifying at-risk households and guiding policy decisions to address this issue. This study compared the effectiveness and stability of two machine learning models: random forests (RF) and generalized r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2025/22/bioconf_fisaed2025_02011.pdf |
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