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Crossvalidation of liinear models?

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Tania
Tania 2014-8-9
评论： Greg Heath 2014-9-2
Hi, does anyone knows if there is a function to crossvalidated my linear model? i can only find it for descision trees unfortunately.. Thank you!

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Greg Heath
Greg Heath 2014-8-9
help crossval, doc crossval
help cvpartition, doc cvpartition
Hope this helps
Thank you for formally accepting my answer
Greg
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Tania
Tania 2014-8-10
Thank you, do you know if this works although on more than 1 variable? would like to split my multiple linear model...
It looks like it does it only for one variable...
load fisheriris; y = species; c = cvpartition(y,'k',10);
Thank you!

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Ahmet Cecen
Ahmet Cecen 2014-8-9
编辑：Ahmet Cecen 2014-8-9
This depends on how you would like to do the cross validation. Leave-one-out cross validation has a nice trick for linear models that can be exploited to perform the whole thing in mere seconds. If you would like to leave more out, or use a k-fold validation, you just have to retrain the model each time and calculate the cross-validation error. I am not aware of any native functions in MATLAB that does CV for linear models. My file exchange function MultiPolyRegressV3 has built in leave-one-out cross validation with the trick exploited.

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