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regression_obesityWeight_model
CSC310-fall25/regression_obesityWeight_model
regression_obesityWeight_model is a machine learning model from CSC310-fall25. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn. The card lists the license as mit.
This model predicts a person’s weight (kg) based on height (m) and age (years) using a Linear Regression model from scikit-learn.
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At a glance
- Library
- scikit-learn
- License
- mit
- Access
- Public
- Created
- Nov 6, 2025
- Updated
- Nov 6, 2025
- SHA
- eea85a9d
Model card
From the Hugging Face model README
Obesity Weight Prediction Model — Linear Regression
Overview
This model predicts a person’s weight (kg) based on height (m) and age (years) using a Linear Regression model from scikit-learn.
Training
| Detail | Value |
|---|---|
| Algorithm | LinearRegression() |
| Features | Height, Age |
| Target | Weight |
| Train/Test Split | 75% / 25% |
| Random State | 42 |
| Dataset | ObesityDataSet_raw_and_data_sinhtetic.csv |
Performance
| Metric | Score |
|---|---|
| MSE (Mean Squared Error) | 511.55 |
| R^2 Score | 0.2777 |
These results indicate that height and age alone do not fully explain weight — important factors like diet, genetics, and exercise are missing.
Visualization
Below is a scatter plot showing predicted vs true weights:
The wide spread around the regression line shows prediction uncertainty for heavier individuals.
Limitations
- Only two features used → reduced explanatory power
- Synthetic dataset — not reflective of real population variation
- Performance not suitable for real-world medical decisions
This model is intended for educational use only.
Strengths
- Easy to interpret
- Fast and simple
- Good educational model
Weaknesses
- Low accuracy
- Missing key health variables
- Not production-ready
Citation
- "Estimation of Obesity Levels Based On Eating Habits and Physical Condition ." UCI Machine Learning Repository, 2019, https://doi.org/10.24432/C5H31Z.
- Library
- scikit-learn
- License
- mit
- Created
- Nov 6, 2025
- Updated
- Nov 6, 2025