Concept加权绝对百分比误差 / Weighted Absolute Percentage Error
WAPE
A commonly used evaluation metric in demand forecasting that computes the absolute percentage error weighted by sales volume. It is more robust than MAPE for low-selling or zero-selling items and aligns more closely with the focus of retail operations.
Timeline (last 90 days)
Oct 12
WAPE is a commonly used evaluation metric in demand forecasting, calculated as the sum of absolute errors across all samples divided by the sum of actual values and then multiplied by 100%; compared with MAPE it is more robust for low-sales or zero-sales items, and a WAPE below 30% is generally considered a good level.
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