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- W4221129603 abstract "Seasonal agricultural workers are the most disadvantaged group of work forces in terms of poverty even though they are significant contributors to the agricultural economy in Turkey. The objectives of this study were to determine the food security status of seasonal agricultural workers and to determine the most important variables in the classification of household food security status for the seasonal agriculture workers. Responses of seasonal apricot workers in Malatya to 18 questions of the Household Food Security Survey Module (HFSSM) were analyzed using the Random Forests (RF) algorithm (n = 65). Results indicated that 55.4% of households suffered from food insecurity, where 7.7% of them with moderate hunger and 13.8% of them with severe hunger. The area under curve value of the RF model was estimated at 0.846 as the classification accuracy. The question “running out of food before having money to buy more” was the most important variable in the classification of the food security groups. Seasonal agricultural workers are prone to food insecurity and poverty due to low income and job insecurity in Turkey and in the world. Therefore, it is important to implement social aid programs to solve food insecurity issue in risk groups like seasonal agricultural workers." @default.
- W4221129603 created "2022-04-03" @default.
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- W4221129603 date "2022-03-24" @default.
- W4221129603 modified "2023-10-06" @default.
- W4221129603 title "Determination of Important Variables in Food Security Classification Using Random Forest" @default.
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- W4221129603 doi "https://doi.org/10.31200/makuubd.1038467" @default.
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