Timeline for Does weighted MAPE (wMAPE) provide an accurate estimate of error?
Current License: CC BY-SA 4.0
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| Feb 15, 2023 at 7:51 | comment | added | Tim | @NGSK why would you assume 1.25*wMAPE*mean tells you anything about standard deviation of the data? wMAPE is an error metric, it can be arbitrarily high or low depending on the performance of the model, regardless of the data. | |
| Feb 15, 2023 at 6:07 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 4, 2022 at 17:22 | comment | added | NGSK | Trying to calculate demand standard deviation for gamma distribution by using the value 1.25*wMAPE*mean forecast | |
| Nov 4, 2022 at 6:30 | history | edited | Stephan Kolassa |
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| Nov 4, 2022 at 6:29 | answer | added | Stephan Kolassa | timeline score: 1 | |
| Nov 4, 2022 at 6:16 | comment | added | Stephan Kolassa | What do you mean by "calculating demand standard deviation for future forecasts", and how would this be connected to the wMAPE? Are you trying to forecast volatility? (I assume not, but I don't quite see what else you could mean.) | |
| S Nov 4, 2022 at 1:38 | review | First questions | |||
| Nov 4, 2022 at 4:09 | |||||
| S Nov 4, 2022 at 1:38 | history | asked | NGSK | CC BY-SA 4.0 |