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README.md
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- **Task type:** Regression (predicting daily sleep hours)
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- **Goal:** Predict `sleep_hours` from usage and sleep-related features
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## Data Splits
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- No fixed train/test split is provided.
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- Users can apply their own strategy (e.g., 80/20 split).
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## Intended Uses
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- **Regression Task:** Predict `sleep_hours` from device usage.
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- **Correlation Analysis:** Study relationships between screen time and sleep quality.
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- **Education:** Demonstrates dataset augmentation (30 → 300 samples).
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| 42 |
- **Task type:** Regression (predicting daily sleep hours)
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| 43 |
- **Goal:** Predict `sleep_hours` from usage and sleep-related features
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| 44 |
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| 45 |
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| 46 |
## Data Splits
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| 47 |
- No fixed train/test split is provided.
|
| 48 |
- Users can apply their own strategy (e.g., 80/20 split).
|
| 49 |
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| 50 |
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| 51 |
## Intended Uses
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| 52 |
- **Regression Task:** Predict `sleep_hours` from device usage.
|
| 53 |
- **Correlation Analysis:** Study relationships between screen time and sleep quality.
|
| 54 |
- **Education:** Demonstrates dataset augmentation (30 → 300 samples).
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