| license: mit | |
| library_name: scikit-learn | |
| tags: | |
| - sklearn | |
| - random-forest | |
| - regression | |
| - california-housing | |
| - mlops | |
| # California Housing Price Prediction | |
| This model predicts the median house value in California districts using a Random Forest Regressor. | |
| The model is trained and deployed automatically using a GitHub Actions CI/CD pipeline. | |
| ## Model Information | |
| - **Algorithm:** Random Forest Regressor | |
| - **Framework:** Scikit-Learn | |
| - **Dataset:** California Housing | |
| ## Evaluation Metrics | |
| - **R2**: 0.7748 | |
| - **RMSE**: 0.5433 | |
| - **MAE**: 0.3657 | |
| ## Pipeline | |
| Data Preparation → Training → Evaluation → Automatic Deployment |