24/5/2025

 24/5/2025

In the previous model building, I found that after adding lag_365, lag_730 and other lag features, the model predicted well in normal time periods, but around holidays, especially during peak consumption periods like Hari Raya, the prediction effect was biased. I strengthened the dummy features related to festivals in the model, such as marking the day of Hari Raya (is_raya), the day before (is_raya_before) and the day after (is_raya_after) as independent variables to help the model clearly distinguish between festival periods.

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