15/7/2025

 15/7/2025

Today, I rebuilt and optimized the XGBoost model, and further strengthened the business sensitivity of the model based on the original sales forecasting architecture. I successfully added the key factors of "sales change after price increase" and "sales increase one day before the festival", making the model closer to the actual operation scenario of Ecoshop.

From the model evaluation results, the overall MAPE has decreased, and the model's explanatory power in actual business scenarios has been enhanced. The prediction curve can better reflect the changing logic of sales behavior.

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