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superkart-sales-xgb
Saiadi/superkart-sales-xgb
superkart-sales-xgb is a machine learning model from Saiadi. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Task: Regression — predict ProductStoreSalesTotal Data: Saiadi/Superkart/processed (Xtrain/Xtest/ytrain/ytest + schema) Features: 4 numeric, 7 categorical Model: XGBRegressor with GridSearchCV (CV=3)
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Updated Nov 8, 2025
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- Access
- Public
- Created
- Nov 5, 2025
- Updated
- Nov 8, 2025
- SHA
- 6eaf46d0
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Model card
From the Hugging Face model README
SuperKart Sales Forecast — XGBoost Regressor
Task: Regression — predict Product_Store_Sales_Total
Data: Saiadi/Superkart/processed (Xtrain/Xtest/ytrain/ytest + schema)
Features: 4 numeric, 7 categorical
Model: XGBRegressor with GridSearchCV (CV=3)
Metrics (Test)
- RMSE: 287.9323
- MAE: 107.5487
- R²: 0.9273
Usage
import joblib, pandas as pd
pipe = joblib.load("model.joblib")
# df must include the training feature columns:
# numeric: ['Product_Weight', 'Product_Allocated_Area', 'Product_MRP', 'Store_Establishment_Year']
# categorical: ['Product_Id', 'Product_Sugar_Content', 'Product_Type', 'Store_Id', 'Store_Location_City_Type', 'Store_Size', 'Store_Type']
y_pred = pipe.predict(df)
- Created
- Nov 5, 2025
- Updated
- Nov 8, 2025