31/7/2025

 31/7/2025

Today, my focus is to verify the impact of dummying future data's time-category variables on the accuracy of the XGBoost model. After multiple rounds of testing, the results show that this adjustment indeed improves model performance during certain time periods. In particular, the discrepancy between the predicted curve and actual sales data is significantly reduced, indicating that the model is better able to capture sales trends after price changes.

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