Upload README.md with huggingface_hub

0a44f1b verified 6 months ago

468 Bytes

license: mit
tags:
  - bittensor
  - real-estate
  - onnx
  - sn46

RESI Baseline Model (SN46)

Input: 79 float32 features (51 numeric + 28 boolean)
Output: 1 float32 predicted sale price (USD)
Format: ONNX (opset 15)
Size: ~6.9 MB
Training: 200K synthetic US residential property samples
Test MAPE: 12.63%

XGBoost-based real estate price prediction model for Bittensor Subnet 46 (RESI).

Model Details

MIT