Spaces:
Sleeping
Sleeping
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README.md
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# Device Use Before Sleep Predictor
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This Gradio Space hosts a machine learning model that predicts whether a student uses their device before sleep based on various factors related to their device usage and sleeping habits.
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* **sleep_hours:** The average number of hours the student sleeps per night (decimal).
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The app will output the predicted outcome ("Uses device before bed" or "Does not use device before bed") and the confidence score for the prediction.
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---
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title: Device Use Before Sleep Predictor
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emoji: 🛌
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colorFrom: purple
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colorTo: indigo
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sdk: gradio
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sdk_version: "4.37.2"
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app_file: app.py
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pinned: false
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---
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# Device Use Before Sleep Predictor
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This Gradio Space hosts a machine learning model that predicts whether a student uses their device before sleep based on various factors related to their device usage and sleeping habits.
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* **sleep_hours:** The average number of hours the student sleeps per night (decimal).
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The app will output the predicted outcome ("Uses device before bed" or "Does not use device before bed") and the confidence score for the prediction.
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## Examples
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Here are a few representative examples you can try:
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* Phone Hours: 2.0, Computer Hours: 3.0, Device Count: 3, Sleep Quality: Good, Sleep Time: 2200, Sleep Hours: 8.0
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* Phone Hours: 5.0, Computer Hours: 6.0, Device Count: 5, Sleep Quality: Fair, Sleep Time: 100, Sleep Hours: 6.0
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* Phone Hours: 1.0, Computer Hours: 1.0, Device Count: 1, Sleep Quality: Excellent, Sleep Time: 2300, Sleep Hours: 9.0
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