Classification of food security status in disaster-prone areas: a comparative analysis of machine learning models using Support Vector Machine, Random Forest, and Logistic Regression
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Food security assessment in disaster-prone areas requires accurate and adaptive approaches capable of capturing dynamic production-consumption relationships. This study aims to develop and evaluate machine learning-based classification models for determining r... ...
