Improved machine learning framework with feature engineering and SHAP analysis for predicting wine quality

Abstract Wine quality assessment in the modern viticulture industry faces significant challenges due to reliance on subjective expert evaluation, leading to inconsistencies, scalability limitations, and high costs in commercial applications. Traditional approaches lack standardization and struggle w...

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Auteurs principaux:	Rijwan Khan, Ankur Goyal, Hoshiyar Singh Kanyal, Deepak Parashar, Sheelesh Kumar Sharma, Md. Iqbal
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2025-12-01
Collection:	Discover Applied Sciences
Sujets:	Wine quality classification Machine learning Ensemble methods SHAP analysis Feature engineering Random forest
Accès en ligne:	https://doi.org/10.1007/s42452-025-07999-8
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