Open AccessWine Quality Prediction Using Machine Learning
Author(s) -
Vrusha P. Sangodkar
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37629
Subject(s) - wine , wine tasting , artificial intelligence , backpropagation , computer science , feature selection , machine learning , artificial neural network , support vector machine , quality (philosophy) , pattern recognition (psychology) , random forest , selection (genetic algorithm) , process (computing) , food science , philosophy , chemistry , epistemology , operating system
Nowadays people are living a luxurious lifestyle, wine has become a part of one's culture. consumption of wine is very common throughout the world so its quality is very important. hence its important to analyse wine quality quality of the wines are usually checked by humans through tasting but it has other physicochemical attributes which affects the taste but the process is slow hence machine learning methods can be used for the same. dataset is taken and feature selection is done using pca feature selection and then accuracy is find using SVM, backpropagation neural network and Random forest algorithm to find which model fits best and gives greater accuracy. Keywords: Data Extraction, PCA, SVM,BP neural network, Randomforest