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An Improved Tuna Swarm Optimization Algorithm based XGBOOST Classification Method for Food Risk Evaluation
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DOI：10.1016/j.swevo.2025.102249.png)
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Abstract
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• The XGBOOST classification method based on improved tuna swarm optimization algorithm is proposed. • The tuna swarm optimization algorithm demonstrates its superiority on seven different functions. • The results demonstrate that the proposed method significantly outperforms other methods in both the highest accuracy and the F1. • The proposed model effectively enables reliable food safety risk level evaluation.
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