Timeline for Will a classifier trained on undersampled data make accurate predictions on new imbalanced data?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 20 at 5:03 | 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. | |
| Apr 21 at 1:03 | 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. | |
| Dec 20, 2024 at 3:01 | 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. | |
| Feb 22, 2022 at 23:40 | answer | added | Erwan | timeline score: 0 | |
| Feb 22, 2022 at 23:07 | comment | added | Dave | Statisticians do not see class imbalance as such a problem, and there is no need to use undersampling to solve a non-problem. It might be helpful if you say why you find the imbalance problematic. You might find the following links enlightening, especially Harrell’s blog. stats.stackexchange.com/questions/357466 fharrell.com/post/class-damage fharrell.com/post/classification stats.stackexchange.com/a/359936/247274 stats.stackexchange.com/questions/464636 twitter.com/f2harrell/status/1062424969366462473?lang=en | |
| Feb 22, 2022 at 21:32 | history | asked | Step92 | CC BY-SA 4.0 |