Wine Vinification Disposition Prophecy Using Machine Learning Methodology

Abstract

Wine: one of the most sophisticated and posh
drinks has posed itself as a favorite among all of us
humans. But when it comes to its quality, we get cautious.
Here there exists a wine-maker who wishes to launch a
new wine. To predict its quality, we dive into its chemical
factors. For that matter, we have few factors like acetic
acid content, sweetness etc. to know the quality of our
sample. As a solution, we have created a machine learning
model using random forest approach to predict whether
the quality is worth it or not.