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@@ -16,12 +16,16 @@ A minimal GUI that drives a classmate’s AutoGluon Tabular model to predict whe
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  - **Model (classmate’s):** https://huggingface.co/jennifee/classical_automl_model
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  - **Dataset (original docs):** https://huggingface.co/datasets/Iris314/Students_sleep_tabular
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- ## How this meets the rubric
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- - Uses a **classmate’s tabular model** (not my own) and links dataset/model docs.
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- - Accepts **single-record** inputs with clear integer/category widgets and labels.
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- - Includes **≥ 3 example** inputs.
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- - Validates via constrained ranges & dropdown choices; **clear prediction** panel (ranked probabilities).
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- - Public Space with this **README** as documentation.
 
 
 
 
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  ## Notes
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- Predictions are probabilistic and for educational use only.
 
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  - **Model (classmate’s):** https://huggingface.co/jennifee/classical_automl_model
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  - **Dataset (original docs):** https://huggingface.co/datasets/Iris314/Students_sleep_tabular
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+ ---
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+
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+ ## Example Inputs
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+ Here are 3 sample records from the dataset (you can try these directly in the app):
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+
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+ - **Example 1:** phone_hours=3, computer_hours=5, device_count=3, sleep_quality="good", sleep_time=23, sleep_hours=7
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+ - **Example 2:** phone_hours=4, computer_hours=6, device_count=3, sleep_quality="medium", sleep_time=0, sleep_hours=6
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+ - **Example 3:** phone_hours=6, computer_hours=5, device_count=4, sleep_quality="bad", sleep_time=1, sleep_hours=6
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+
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+ ---
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  ## Notes
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+ Predictions are probabilistic and for educational use only. Interface was created with the assistance of GenAI