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A machine learning-based exploration of resilience and food security

By: Contributor(s): Material type: TextTextPublication details: Applied Economic Perspectives and Policy; 2024Description: 1479-1505ISSN:
  • 2040-5804
Subject(s): Online resources: Summary: Leveraging advancements in remote data collection and using the Food Insecurity Experience Scale (FIES) as a proxy measure of resilience, we show that machine learning models (such as Gradient Boosting Classifier, eXtreme Gradient Boosting, and Artificial
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Article Index Article Index Dr VKRV Rao Library Vol. 46, No. 4 Not for loan AI1083

Leveraging advancements in remote data collection and using the Food Insecurity Experience Scale (FIES) as a proxy measure of resilience, we show that machine learning models (such as Gradient Boosting Classifier, eXtreme Gradient Boosting, and Artificial

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