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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Published Paper Details:
Paper Title
MACHINE LEARNING APPROACH FOR ATTRIBUTE IDENTIFICATION AND QUALITY PREDICTION FOR RED WINE
Authors
Kushalatha.M.R., Rachana Pai, Sameep Pai K S, Shrreesha.S.Bhat
Keywords
SVM, SVM with GridSearch CV, Machine learning, Random Forest Classifier, Hyper parameters.
Abstract
The paper focuses on quality prediction analysis of red wine which contains the attributes such as fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfuric acids, total sulfuric acid, density, pH, sulphates, alcohol - quantity. The Prediction is evaluated through various machine learning algorithms such as Logistic Regression, Support Vector Machine, Decision Tree Classifier and Random Forest Classifier. By applying these algorithms, a detailed view of the tested results and the trained results of the machines were obtained. The results were visualized using Boxplot, Correlation matrix, joint plot. The Support Vector Machine (SVM) algorithm yields highest Accuracy of 87.5%, when used with grid search CV the accuracy was approximately equal to 90%.
IJCRT's Publication Details
Unique Identification Number - IJCRT2104589
Paper ID - 206354
Page Number(s) - 4906-4910
Pubished in - Volume 9 | Issue 4 | April 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kushalatha.M.R., Rachana Pai, Sameep Pai K S, Shrreesha.S.Bhat, "MACHINE LEARNING APPROACH FOR ATTRIBUTE IDENTIFICATION AND QUALITY PREDICTION FOR RED WINE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.4906-4910, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104589.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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