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Predicting household poverty with machine learning methods: the case of Malawi
Poverty alleviation continues to be paramount for developing countries. This necessitates the need for poverty tracking tools to monitor progress towards this goal and effect timely interventions. One major way poverty has been tracked in Malawi is by carrying out integrated household surveys every...
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| Language: | English |
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Department of Computer Science
2022
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