Timeline for How to handle variable size input data (incomplete) to build/train a model for regression?
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21 events
| when toggle format | what | by | license | comment | |
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| Aug 28, 2024 at 12:49 | answer | added | Björn | timeline score: 2 | |
| Aug 28, 2024 at 12:27 | answer | added | mkt | timeline score: 2 | |
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| Oct 24, 2019 at 8:45 | history | edited | gustavovelascoh | CC BY-SA 4.0 | deleted 30 characters in body; edited title |
| Oct 18, 2018 at 15:00 | history | edited | gustavovelascoh | CC BY-SA 4.0 | explained, added previous comments |
| Oct 18, 2018 at 14:52 | comment | added | Jan | An approach often used is to take the mean of the values. If you have a categorical variable you could also specify a separate category which would have the same effect. Sometimes it is better to fill in a 0, but this can also go very wrong if we have a linear function. So the more complicated answer is: it depends. | |
| Oct 18, 2018 at 14:38 | answer | added | Novak | timeline score: -1 | |
| Oct 17, 2018 at 13:35 | review | First posts | |||
| Oct 17, 2018 at 13:37 | |||||
| Oct 17, 2018 at 13:34 | history | asked | gustavovelascoh | CC BY-SA 4.0 |