Timeline for Should you use the same algorithm in your feature selection as your model
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Nov 15, 2021 at 17:04 | 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. | |
| Jul 13, 2021 at 11:02 | 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. | |
| Mar 13, 2021 at 18:02 | 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 11, 2021 at 15:43 | answer | added | Brian Spiering | timeline score: 2 | |
| Jan 5, 2021 at 20:34 | comment | added | Jonathan | In theory, a drawback of using different models could be that features being important to your model being used as a filter to select features might not have the same importance for your model applied during inference | |
| Jan 5, 2021 at 18:27 | comment | added | Nikos M. | there is no theoretical reason not to use same (class of) algorithms both for feature selection and as model | |
| Jan 5, 2021 at 14:54 | history | asked | Austin Johnson | CC BY-SA 4.0 |