---
license: mit
language:
- en
---

# classical_automl_model

This is a AutoML for classical machine learning model trained on a student sleeping habits dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.83
- F1: 0.75

## Model description

This model evaluates tabular data of student sleeping habits. This model was developed with AutoGluon's TabularPredictor. 

## Intended uses & limitations

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.

## Training and evaluation data

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