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