Timeline for Loss functions for target values very close to 0 [duplicate]
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| Aug 6 at 19:06 | comment | added | Stephan Kolassa | A 5% error on a very small actual is very hard to achieve. If your actuals can vary from very small values, percentage errors are quite probably not what you want to use. Please take a look at the proposed duplicate. I would argue that it tells you that aiming for small percentage errors is mistaken in your case. | |
| Aug 6 at 19:04 | history | closed | Stephan Kolassa machine-learning Users with the machine-learning badge or a synonym can single-handedly close machine-learning questions as duplicates and reopen them as needed. | Duplicate of What are the shortcomings of the Mean Absolute Percentage Error (MAPE)? | |
| Aug 6 at 18:14 | history | edited | mkrz7 |
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| S Aug 6 at 18:13 | review | First questions | |||
| Aug 6 at 19:06 | |||||
| S Aug 6 at 18:13 | history | asked | mkrz7 | CC BY-SA 4.0 |