Prediction of wine quality using Multiclass Classification 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 Multiclass Classification analysis, where wine quality is modeled in from 0 (very bad) to 10 (excellent). In this experiment we compare the performance of several Multiclass Classification algorithms available in Azure ML. Published by a Microsoft employee.