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REDEX-Labs/
resi-baseline-model

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%

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RESI Baseline Model (SN46)

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

MIT