Welcome

This is a project aiming at predicting binary outcomes of badminton matches (i.e., who will win?). The accuracy is around 70%.

Getting data

Use the scrapers provided to fetch all the data out there from the internation badminton society's website, http://bwfbadminton.com. It will store all data in a SQLite database as db/app.db.

python -m scraper.players
python -m scraper.rankings
python -m scraper.tournaments

Generating features

This will take some time. It will store a pickle representation of the entire dataset once done. You will have to regenerate this again, once you've fetched new data.

python -m model.make_data

Training model

This will also save a pickled version of the Keras classifier.

python -m train_nn

Predicting new matches

See model/pred.py.