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Results tagged with mape
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user 49034
The Mean Absolute Percentage Error (MAPE) is a point forecast accuracy measure. As a percentage, it can be compared between forecasts for time series on different scales, and it is easily interpreted. However, it is asymmetric (underforecasts' MAPEs are bounded at 100%, while overforecasts' are unbounded), potentially leading to biased forecasts. The MAPE is undefined if any actual is zero.
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votes
Weird forecasting results
In such a mixed model, MAPE from one of the underlying time series can affect the overall MAPE giving erroneous results. … I would suggest that you try using a Symmetrical MAPE (sMAPE) or Weighted Absolute Percentage Error (WAPE). …
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