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Check out the documentation for more information.
SuperKart Sales Prediction Model
Model Description
This model predicts Product_Store_Sales_Total using product and store
characteristics from the SuperKart dataset.
Model
Random Forest
Target
Product_Store_Sales_Total
Evaluation Metrics
- MAE: 115.2639
- RMSE: 285.2186
- R²: 0.9287
- MAPE: 4.20%
Features
Product_Weight, Product_Sugar_Content, Product_Allocated_Area, Product_Type, Product_MRP, Store_Id, Store_Establishment_Year, Store_Size, Store_Location_City_Type, Store_Type
Usage
The saved Joblib artifact contains both preprocessing and the trained model. It can therefore receive a dataframe containing the original model input features and produce sales predictions.
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