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Homework2_Classical_ML

Tabular Classification

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@@ -19,7 +19,7 @@ This model was developed as part of a class assignment on designing and deployin
 It demonstrates the use of AutoML (AutoGluon Tabular) to build a binary classifier on football receiver stats.
 ## Dataset
-- **Source:** [<classmate name + Hugging Face dataset link if public> ](https://huggingface.co/datasets/james-kramer/receiverstats)
 - **Split:** Stratified Train/Test = 80/20 on the **original** split.
 - **Features:** ['Tgt', 'Rec', 'Yds', 'YBC_per_R', 'YAC_per_R', 'ADOT', 'Drop_pct', 'Rat']
 - **Target:** `Elite` (0/1)

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