Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy
Author:
Affiliation:
1. Department of Information Technology, Georgia Southern University, Statesboro, GA, USA
Funder
Dean’s Office of the Allen E. Paulson College of Engineering and Computing at Georgia Southern University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10620272.pdf?arnumber=10620272
Reference94 articles.
1. Early Neolithic wine of Georgia in the South Caucasus
2. Exploring flavors through AI: The future of culinary taste prediction;Yavas
3. Using Data Mining for Wine Quality Assessment
4. Selection of important features and predicting wine quality using machine learning techniques;Gupta;Proc. Comput. Sci.,2018
5. A Machine Learning Based Approach for Wine Quality Prediction
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