saisrk/superkart-sales-model

SuperKart Sales Forecasting Model

Scikit-learn pipeline (StandardScaler + OneHotEncoder -> XGBRegressor) that predicts Product_Store_Sales_Total for a product in a store.

• superkart_sales_model_v1.joblib - the tuned scikit-learn pipeline (joblib)
• superkart_sales_model_v1_portable.json - the same model exported to JSON (scaler, encoder, trees) for dependency-free scoring; validated to match the pipeline on the test set

Trained on saisrk/superkart-sales-dataset at 2026-09-27 09:56:56 UTC.

Test metric	Value
RMSE	270.66
MAE	104.56
R2	0.9360
MAPE	0.0381

Best hyper-parameters: {'colsample_bytree': 1.0, 'learning_rate': 0.05, 'max_depth': 7, 'n_estimators': 100, 'subsample': 0.8}