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california-housing-regression
Poonguzhali25/california-housing-regression
california-housing-regression is a machine learning model from Poonguzhali25. 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 7, 2026
Repo size
15.3 MB
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0
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Repo makeup
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.joblib15.3 MB · 100%
At a glance
- Library
- sklearn
- Access
- Public
- Created
- Aug 7, 2026
- Updated
- Aug 7, 2026
- SHA
- 0affb9f0
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 7, 2026
- Updated
- Aug 7, 2026