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+ ---
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+ license: mit
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+ language:
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+ - en
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+ ---
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+
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+ # classical_automl_model
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+ This is a AutoML for classical machine learning model trained on a student sleeping habits dataset.
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+ It achieves the following results on the evaluation set:
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+ - Accuracy: 0.83
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+ - F1: 0.75
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+ ## Model description
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+ This model evaluates tabular data of student sleeping habits. This model was developed with AutoGluon's TabularPredictor.
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+ ## Intended uses & limitations
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+ This model aims to identify if a student uses their phone before bed based on their sleeping habits. It is not intended for any other purposes.
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+ ## Training and evaluation data
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+ This model was trained and evaluated on the original and augmented tabular datasets of student sleeping habits. These were sourced from Iris314/Students_sleep_tabular