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All Journal International Journal of Applied Sciences and Smart Technologies
Hutabarat, Kevin Silvanus
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Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering

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Red Wine Classification Using SVM and RBF Kernel Hutabarat, Kevin Silvanus; Kumalasanti, M.T., Rosalia Arum
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.7416

Abstract

Today’s cultural diversity has influenced lifestyle, especially at the time of certain events. Food and drink are important in the event. Quality food is a key ingredient in a person’s eating. Red wine is one of the most popular beverages in the West because of its cold climate but today Red wine has become a popular drink not only among Western countries. The love of red wine should also be balanced with his knowledge of the quality of the beverage because it has various variations. The duration of fermentation and the materials used will give different quality products. Nowadays technology is present to provide solutions to these problems by using the SVM algorithm on Machine Learning. The approach is carried out by performing several experiments to obtain optimal evaluation results. The study has achieved accuracy of 90.93%, precision of 72.5% and recall of 61.70%.Keywords: SVM, machine learning, accuracy, precision, recall
Co-Authors Kumalasanti, M.T., Rosalia Arum