Ensemble Learning Models for Food Safety Risk Prediction

Ensemble learning was adopted to design risk prediction models with the aim of improving border inspection methods for food imported into Taiwan. Specifically, we constructed a set of prediction models to enhance the hit rate of non-conforming products, thus strengthening the border control of food...

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Auteurs principaux: Li-Ya Wu, Sung-Shun Weng
Format: article
Langue:EN
Publié: MDPI AG 2021
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Accès en ligne:https://doaj.org/article/07f4a2acf777474da4f65f38a9d1b6b2
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