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README.md
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license: mit
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# Nigl
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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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license: mit
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pipeline_tag: tabular-classification
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library_name: PyTorch
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metrics:
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- Binary Cross Entropy
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- F1 Score
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- Accuracy
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# Nigl
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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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