Timeline for Model stability when dealing with large $p$, small $n$ problem
Current License: CC BY-SA 3.0
11 events
when toggle format | what | by | license | comment | |
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Jan 24, 2018 at 1:06 | history | edited | kjetil b halvorsen♦ | CC BY-SA 3.0 |
deleted 39 characters in body
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Feb 22, 2015 at 17:58 | answer | added | Bakaburg | timeline score: 3 | |
Jun 1, 2012 at 16:18 | answer | added | cbeleites | timeline score: 6 | |
May 31, 2012 at 23:21 | comment | added | user88 | Random forest, SVR... For feature selection you can try some all-relevant method (should be more stable) like ACE or Boruta. | |
May 31, 2012 at 22:16 | history | edited | Macro | CC BY-SA 3.0 |
edited title
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May 31, 2012 at 21:08 | comment | added | dimi | which ML approaches suited for continuous or ordinal dependent variable would you suggest? | |
May 31, 2012 at 20:13 | answer | added | Pardis | timeline score: 12 | |
May 31, 2012 at 19:03 | comment | added | user88 | Maybe regularized regression is just not enough? Have you tried some machine learning approach? | |
May 31, 2012 at 18:57 | history | edited | user88 | CC BY-SA 3.0 |
edited title
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May 31, 2012 at 17:14 | history | tweeted | twitter.com/#!/StackStats/status/208245178752970754 | ||
May 31, 2012 at 15:46 | history | asked | dimi | CC BY-SA 3.0 |