| license: mit | |
| pipeline_tag: tabular-classification | |
| library_name: PyTorch | |
| metrics: | |
| - Binary Cross Entropy | |
| - F1 Score | |
| - Accuracy | |
| # Nigl | |
| Nigl is a collection of machine learning models the are built to predict the outcomes of NCAA D1 basketball games, particularly for the march madness tournament. Nigl gets its name after [Greg Nigl](https://www.si.com/college/2019/03/26/march-madness-ncaa-tournament-perfect-bracket-greg-nigl), who as of now has the record for the most amount of games in a row predicted in the mens NCAA tournament (49 in 2019). | |
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