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