Spremanje mape

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Spremanje mape

FAQ - 💬

👉 It represents the average of the absolute percentage errors of each entry in a dataset, showing, on average, how accurate the forecasted quantities were in comparison with the actual quantities. MAPE is often effective for analyzing larger sets of data, but it's not possible to calculate the MAPE of datasets with zero values.

👉 MAPE is a straightforward metric, meaning a 10% MAPE represents the average deviation between the forecasted value and actual values was 10%, regardless of whether the deviation was positive or negative. However, there's no industry standard for what's considered to be a good MAPE.

👉 For example, an organization that changes prices frequently or offers promotions often may have a higher MAPE than an organization with consistent pricing does. This is because changes in pricing may make it challenging to forecast sales accurately, but both organizations may still be successful. Why is MAPE important?

👉 This is because the calculation would require dividing by zero, which is impossible. MAPE is a straightforward metric, meaning a 10% MAPE represents the average deviation between the forecasted value and actual values was 10%, regardless of whether the deviation was positive or negative.

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