Prediction Wine Quality: Exploring Chemical Properties for Machine Learning Modelling and Parameter Fine-Tuning

Authors

  • Animireddy Anusha, Adduri Lavan Kumar, Valaboju Aravind, Polapelly Nithin, Yelle Akshay

Keywords:

Keywords: Wine quality assessment, Predictive analytics, ML modeling, Gradient boosting, Multi layer perceptron.

Abstract

Wine quality is a multifaceted attribute influenced by various chemical properties, such as acidity, sugarcontent, and alcohol levels. Traditionally, wine quality assessment has relied on expert tasters, a methodthat is subjective, time-consuming, and inconsistent. Traditional wine quality assessment methods haveseveral limitations, including subjectivity, variability, and scalability issues

References

Chen, J., Li, R., & Yang, J. A Prediction Model for Quality of Red Wine through Explainable Artificial Intelligence. In 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, 2022: 268-272.

Kumar, S., Agrawal, K., & Mandan, N. Red Wine Quality Prediction Using Machine Learning Techniques. In 2020 International Conference on Computer Communication and Informatics, 2020: 16

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Published

2025-04-10

How to Cite

Animireddy Anusha, Adduri Lavan Kumar, Valaboju Aravind, Polapelly Nithin, Yelle Akshay. (2025). Prediction Wine Quality: Exploring Chemical Properties for Machine Learning Modelling and Parameter Fine-Tuning . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 61–70. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2273

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