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README.md
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It demonstrates the use of AutoML (AutoGluon Tabular) to build a binary classifier on football receiver stats.
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## Dataset
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- **Source:** <classmate name + Hugging Face dataset link if public>
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- **Split:** Stratified Train/Test = 80/20 on the **original** split.
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- **Features:** ['Tgt', 'Rec', 'Yds', 'YBC_per_R', 'YAC_per_R', 'ADOT', 'Drop_pct', 'Rat']
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- **Target:** `Elite` (0/1)
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It demonstrates the use of AutoML (AutoGluon Tabular) to build a binary classifier on football receiver stats.
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## Dataset
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- **Source:** [<classmate name + Hugging Face dataset link if public> ](https://huggingface.co/datasets/james-kramer/receiverstats)
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- **Split:** Stratified Train/Test = 80/20 on the **original** split.
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- **Features:** ['Tgt', 'Rec', 'Yds', 'YBC_per_R', 'YAC_per_R', 'ADOT', 'Drop_pct', 'Rat']
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- **Target:** `Elite` (0/1)
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