Timeline for Feature Selection in unbalanced data
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18 events
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Jul 14, 2021 at 16:11 | answer | added | Dikran Marsupial | timeline score: 3 | |
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Apr 6, 2020 at 6:01 | history | tweeted | twitter.com/StackStats/status/1247041603946110977 | ||
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Nov 24, 2019 at 18:04 | answer | added | Fatima | timeline score: 0 | |
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Nov 1, 2018 at 14:23 | answer | added | iamgin | timeline score: 1 | |
May 18, 2018 at 9:37 | history | edited | Riddle-Master | CC BY-SA 4.0 |
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May 16, 2018 at 20:57 | comment | added | gung - Reinstate Monica | @Denwid, there aren't typically references for not doing things under any circumstances (except for the most common & egregious--eg median splits). That said, there are a ton of papers that have shown problems w/ the common methods; you can see some listed here: Backward selection for Cox model using R. It should be obvious that for any method you would it use only when it would be both valid & help you achieve your goals. The point is that lots of people believe they should select features (& thus do so) when those criteria aren't met. | |
May 16, 2018 at 20:34 | comment | added | Denwid | @gung can you point to some good sources arguin for not doing feature selection at all? | |
May 16, 2018 at 16:41 | comment | added | gung - Reinstate Monica | Why do you need to select features at all? Feature selection has fewer benefits than people believe & a lot of potential pitfalls. | |
May 16, 2018 at 16:22 | history | asked | Riddle-Master | CC BY-SA 4.0 |