Timeline for How to avoid overfitting in random forest?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Apr 13, 2018 at 9:43 | comment | added | Pierre | @David What do you mean by "which isn't necessarily the case for something like out of the bag error"? Do you mean that out of the bag estimation is not a good way to avoid overfitting? | |
| Aug 5, 2015 at 14:38 | comment | added | David | That sounds like a different question to post -- the differences are vast given that you run things like recursive feature selection using any algorithm of your choice in caret. | |
| Aug 5, 2015 at 10:39 | comment | added | Arun | Thank you very much for the reply and advice. Just want to know how different is using a caret package for feature selection when compared to selecting important variables using the randomForest algorithm? | |
| Aug 5, 2015 at 10:24 | vote | accept | Arun | ||
| Aug 5, 2015 at 10:23 | vote | accept | Arun | ||
| Aug 5, 2015 at 10:24 | |||||
| Jul 10, 2015 at 15:56 | history | edited | David | CC BY-SA 3.0 |
deleted 306 characters in body
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| Jul 10, 2015 at 15:23 | review | First posts | |||
| Jul 11, 2015 at 16:04 | |||||
| Jul 10, 2015 at 15:18 | history | answered | David | CC BY-SA 3.0 |