Prediction of wine quality using regression analysis.
The data contains quality ratings for a few thousands of wines (1599 red wine samples), along with their physical and chemical properties (11 predictors). We want to use these properties to predict a rating for a wine. This case study was addressed by regression analysis, where wine quality is modeled in a continuous scale, from 0 (very bad) to 10 (excellent). In this experiment we compare the performance of several regression algorithms available in Azure ML. Published by a Microsoft Employee