000			01036nam a2200241Ia 4500
008			250131s9999||||xx |||||||||||||| ||und||
022			_a2040-5804
100			_aVillacis, Alexis H. _9124918
245		2	_aA machine learning-based exploration of resilience and food security
260			_bApplied Economic Perspectives and Policy
260			_c2024
300			_a1479-1505
520			_aLeveraging 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
650			_a Ethiopia _9124919
650			_a Food Insecurity Experience Scale _9124920
650			_a Malawi _9124921
650			_a Nigeria _9124922
650			_a Uganda _9124923
650			_aPredictive Performance _9124924
700			_a Badruddoza, Syed _9124925
700			_a Mishra, Ashok K. _9124926
856			_uhttps://onlinelibrary.wiley.com/doi/abs/10.1002/aepp.13475
999			_c134869 _d134869