House Price Prediction Model
PyTorch MLP trained on synthetic US housing data.
Model details
- Architecture: Dense MLP (6 → 256 → 128 → 64 → 1)
- Features: zipcode, house_sqft, lot_sqft, num_beds, num_baths, property_type
- R2 Score: 0.9856
- RMSE: ±$110,504
How to use
pip install torch scikit-learn python predict.py --zipcode 94102 --house_sqft 1500 ...
Training data
Synthetic US housing data — 1,000 rows, 10 cities, 50 zip codes.
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