House Price Prediction
CatBoost regression achieving 90.4% R² accuracy with 223 engineered features and SHAP explainability
Technology Stack
ROI
Property valuation automation
Accuracy
90.4% R² (0.904)
Key Performance Indicators
Business Impact Summary
| Return on Investment | Property valuation automation |
| Model Accuracy | 90.4% R² (0.904) |
| RMSE | 0.0485 |
| MAE | 0.0318 |
| Features Engineered | 223 from 81 original |
Overview
Enterprise-grade property valuation platform using CatBoost regression with 223 engineered features from 81 original variables. Achieves 90.4% R² accuracy with SHAP explainability for transparent pricing decisions.
Live Demo
Live Demo
Interactive Streamlit application
House Price Prediction Demo
Click below to load the interactive demo
This is a live, interactive demo deployed on Streamlit Cloud. You can:
- •Upload your own data for predictions
- •Explore model performance metrics
- •View interactive visualizations
- •Understand model predictions with explainability
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