SuperKart Sales Prediction Model
Model Description
This is a RandomForest model trained to predict sales revenue (Product_Store_Sales_Total) for SuperKart stores.
It utilizes a Scikit-Learn Pipeline that handles:
- Preprocessing: OneHotEncoding for categorical variables and Scaling for numerical variables.
- Modeling: The best performing regressor selected from Random Forest, Gradient Boosting, and XGBoost.
Performance
- RMSE: 280.8544
- R2 Score: 0.9309
- MAE: 114.7186
Usage
This model expects a pandas DataFrame with the same columns as the training set (Product_Weight, Product_Sugar_Content, etc.).
