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What is Wine Quality Prediction Using Vivino Data about?

This document presents a marketing strategy case study for Vivino, focusing on identifying key physicochemical properties of French Bordeaux wines to classify wine quality using machine learning models. The Random Forest model outperformed the Naive Bayes model, achieving an accuracy of 82.9% compared to 80.83%, with both models identifying alcohol, sulphates, and volatile acidity as critical factors for high-quality wines. Recommendations for wine producers include focusing on alcohol content, increasing s

Author

Gamyuii Kitsana

Language

EN