Timeline for Linear Regression Feature selection: multiple-regression p-value filter versus Lasso / Recursive Feature Elimination
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 24, 2017 at 5:07 | 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 25, 2016 at 20:35 | answer | added | Michael Bawol | timeline score: 1 | |
| Sep 12, 2016 at 9:13 | comment | added | Silverfish | See also To select variables or not in logistic regression, and Should covariates that are not statistically significant be 'kept in' when creating a model? | |
| Sep 12, 2016 at 8:49 | comment | added | Richard Hardy | This has been discussed extensively multiple times before. Please see older posts on feature-selection etc. | |
| Sep 12, 2016 at 8:26 | history | edited | Silverfish | CC BY-SA 3.0 |
remove greeting and irrelevant tags (this is a general statistical issue, not just of interest to users of those packages)
|
| Sep 12, 2016 at 6:18 | review | First posts | |||
| Sep 12, 2016 at 8:26 | |||||
| Sep 12, 2016 at 6:16 | history | asked | Heavy Breathing | CC BY-SA 3.0 |