Downloads · 30 days
0
california-housing-regression
abiramiiii24/california-housing-regression
california-housing-regression is a machine learning model from abiramiiii24. 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 sklearn.
This model predicts California housing prices using a Random Forest Regressor.
Access
Public
Updated Aug 8, 2026
Repo size
15.3 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.joblib15.3 MB · 100%
At a glance
- Library
- sklearn
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- 8da22cd0
Model card
From the Hugging Face model README
California Housing Price Prediction
This model predicts California housing prices using a Random Forest Regressor.
Model Information
- Framework: scikit-learn
- Algorithm: RandomForestRegressor
- Dataset: California Housing Dataset
Evaluation Metrics
- MAE: 0.3658
- RMSE: 0.5434
- R2_Score: 0.7746
Deployment
This model was automatically trained, evaluated and deployed using a GitHub Actions CI/CD pipeline.
- Library
- sklearn
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026