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Decision-Centered Evaluation of Machine Learning Poverty Maps Using Mobile Phone and Satellite Data

Algama, Chanuka et al.
arXiv (All) · Papers
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computers-and-society
Identifying the poorest communities is essential for poverty alleviation, but household surveys and censuses are costly and infrequent. Machine learning offers alternative poverty estimates from mobile phone and satellite data, yet average prediction accuracy alone does not show whether maps support
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