This program is to test sklearn, with simple machine learning algorithms, saving classifiers and a basic dataset of wine attributes.

80.8828% white wine accuracy with hyperparameter tuning for random forest classifier.

87.8828% red wine accuracy with hyperparameter tuning for random forest classifier.

The dataset, additional metadata, and the .csv files used in this program can be found at: https://archive.ics.uci.edu/dataset/186/wine+quality

If you'd like to contribute to python_wine_classifier please submit a pull-request on a feature branch.

Clone the repo:

git clone https://github.com/Sommos/python_wine_classifier

cd python_wine_classifier