Machine Learning Repository
Master's Degree in Data Science - Università Bicocca
Platform: KNIME
Dataset: https://www.kaggle.com/zynicide/wine-reviews
Wine classification is a difficult task since taste is the least understood of the human senses [2]. The aim of this work is to establish whether it is possible to implement an automatic system of wine quality classification, in order to support decision-making processes; we propose a data mining approach to predict human wine taste preferences based on physicochemical properties from wine analyses. The question to be answered is: is it possible to predict wine quality effectively and automatically?
In this study a predictive modeling of wine quality and performance evaluation of different classification models is presented in order to use a model that classifies as correctly as possible the quality of Portoguese ”Vinho Verde” red wine.