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SuperKart Sales Forecast
Best model: random_forest
Files:
- random_forest_model.pkl
- metrics.json (MAE/RMSE/R2 per model)
- best_model.json (best by lowest RMSE)
Usage: import joblib pipe = joblib.load('random_forest_model.pkl') y_pred = pipe.predict(X) # X must include the same feature columns used during training
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