Timeline for Shift target values by a big value to improve the Mean Absolute Percentage error (MAPE)
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Oct 5, 2023 at 17:24 | comment | added | Dave | Do you have any values of zero in the original data? | |
| Oct 5, 2023 at 14:47 | answer | added | Dave | timeline score: 1 | |
| Oct 5, 2023 at 14:27 | comment | added | Mohamed Essam | hi @Dave , thanks for the response, I didn't try other values than 100, but I thing if add more bigger values like 10000, the mape will decrease, the thing is, is adding or shifting the target values for training, and then subtracting the shifting value from the predictions, is this statistically or mathematically right to do, even if it's improve the model performance ? | |
| Oct 5, 2023 at 14:16 | comment | added | Dave | Welcome to Cross Validated! $//$ $1)$ Note the issues with MAPE. $//$ $2)$ If you are able to achieve (reliable) strong predictive performance, quantified by your measure of performance of interest, what else is there? $//$ $3)$ I wonder if it would be possible to treat that $100$ as a hyperparameter to tune. Sure, you get good performance by adding/subtracting $100$, but what about if you use $10$ or $10000?$ (Perhaps you have already tried various values.) | |
| Oct 5, 2023 at 14:12 | history | edited | Mohamed Essam | CC BY-SA 4.0 |
deleted 8 characters in body
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| S Oct 5, 2023 at 13:55 | review | First questions | |||
| Oct 5, 2023 at 15:02 | |||||
| S Oct 5, 2023 at 13:55 | history | asked | Mohamed Essam | CC BY-SA 4.0 |