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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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# 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 |
