The wine quality dataset contains data on different wines and their overall quality.

The data has 1599 records with 11 features and one ordinal target column, referring to the overall quality of a specific wine. see for additional information.

The typical ML task in this dataset is to build a model that predicts the overall quality of Wine.

This dataset is licensed under the Open Data Commons Open Database License (ODbL) v1.0 ( Right reserved to P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.


load_data([data_format, as_train_test])

Load and returns the Wine Quality dataset (regression).


Load and return a fitted regression model to predict the quality in the Wine Quality dataset.