Timeline for Random Forest: IncNodePurity and Feature Selection for Binary Logistic Regression
Current License: CC BY-SA 3.0
3 events
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| Sep 4, 2013 at 18:23 | comment | added | O_Devinyak |
This can be mean squared error obtained via cross-validation. Cross-validation is very useful trick, I'd suggest you to find its explanation in web - that would be more clear than explanations of mine. In R there is function cv.glm() in package boot that can help you.
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| Sep 4, 2013 at 17:55 | comment | added | Matt Reichenbach | the goal, in my case, is to obtain a predictive model, can you provide more information on "cross-validation statistics"? | |
| Sep 4, 2013 at 17:03 | history | answered | O_Devinyak | CC BY-SA 3.0 |