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:

  1. Preprocessing: OneHotEncoding for categorical variables and Scaling for numerical variables.
  2. 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.).

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