bryium/house_price_predictor

House Price Predictor (India)

XGBoost model that predicts house prices in Indian Rupees using features like location, carpet area, number of bedrooms (BHK), furnishing, and more. Trained on Indian housing data with an R² of ~0.84.

Model Details

Model type	XGBoost Regressor
Task	Regression (house price prediction)
Input	Location, carpet area, BHK, furnishing, status, transaction, etc.
Output	Predicted price in ₹ (Indian Rupees)
R²	~0.84
RMSE	~0.21 (log scale)

Files

File	Description
model.joblib	Trained XGBRegressor
preprocessor.joblib	Sklearn ColumnTransformer (imputer + scaler + OneHotEncoder)
encodings.joblib	Target/frequency encodings for location & society
feature_columns.joblib	Feature column order

Usage

Load the model

hon import joblib from huggingface_hub import hf_hub_download

model = joblib.load(hf_hub_download(repo_id="bryium/house-price-predictor", filename="model.joblib")) preprocessor = joblib.load(hf_hub_download(repo_id="bryium/house-price-predictor", filename="preprocessor.joblib")) encodings = joblib.load(hf_hub_download(repo_id="bryium/house-price-predictor", filename="encodings.joblib")) feature_columns = joblib.load(hf_hub_download(repo_id="bryium/house-price-predictor", filename="feature_columns.joblib"))