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@@ -17,7 +17,8 @@ It uses a **AutoGluon Tabular model** trained during last session.
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  ## Dataset & Model Card
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- - **Dataset:** Book metadata dataset (features: `Height`, `Width`, `Depth`, `Page Count`; label: `Genre`).
 
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  - **Model Repo:** [FaiyazAzam/24679-tabular-autolguon-predictor](https://huggingface.co/FaiyazAzam/24679-tabular-autolguon-predictor)
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  - **Framework:** [AutoGluon Tabular](https://auto.gluon.ai/stable/index.html)
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  - **Task:** Multi class classification -> predict `Genre` (numeric code).
 
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  ## Dataset & Model Card
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+ - **Dataset:** Book metadata dataset (features: `Height`, `Width`, `Depth`, `Page Count`; label: `Genre`).
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+ - **Dataset Information:** This app uses the [Books-tabular-dataset (its-zion-18)](https://huggingface.co/datasets/its-zion-18/Books-tabular-dataset) The dataset is licensed under **MIT** and consists of **~330 records** in Parquet format (split into `original` and `augmented`). :contentReference[oaicite:10]{index=10}
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  - **Model Repo:** [FaiyazAzam/24679-tabular-autolguon-predictor](https://huggingface.co/FaiyazAzam/24679-tabular-autolguon-predictor)
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  - **Framework:** [AutoGluon Tabular](https://auto.gluon.ai/stable/index.html)
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  - **Task:** Multi class classification -> predict `Genre` (numeric code).