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house-price-model
vramados/house-price-model
house-price-model is a machine learning model from vramados. 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 pytorch.
PyTorch MLP trained on synthetic US housing data.
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Public
Updated Apr 17, 2026
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.pkl190 KB · 50%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- c378189c
Model card
From the Hugging Face model README
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.
- Library
- pytorch
- Languages
- en
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026