Wine quality grade data analysis and prediction based on multiple machine learning algorithms

HIGHLIGHTS

• What: This study has certain reference value for the development of wine industry and consumers` purchase.
• Who: Chunzhang Zeng and collaborators from the School of Land Resource and Environment, Jiangxi Agricultural University, Jiangxi, Nanchang, China have published the article: Wine quality grade data analysis and prediction based on multiple machine learning algorithms, in the Journal: (JOURNAL)
• How: This paper presents wine evaluation indexes including fixed acidity volatile acidity citric acid residual sugar chloride free sulphur dioxide total sulphur dioxide density pH sulphate and alcohol. This paper introduces the application of machine_learning models including . . .
  

   

  

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