[R] Variable importance - ANN

2013-12-04 Thread Giulia Di Lauro
Hi everybody,
I created a neural network for a regression analysis with package ANN, but
now I need to know which is the significance of each predictor variable in
explaining the dependent variable. I thought to analyze the weight, but I
don't know how to do it.

Thanks in advance,
Giulia Di Lauro.

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Re: [R] Variable importance - ANN

2013-12-04 Thread Liaw, Andy
You can try something like this:
http://pubs.acs.org/doi/abs/10.1021/ci050022a

Basically similar idea to what is done in random forests: permute predictor 
variable one at a time and see how much that degrades prediction performance.

Cheers,
Andy

-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
Behalf Of Giulia Di Lauro
Sent: Wednesday, December 04, 2013 6:42 AM
To: r-help@r-project.org
Subject: [R] Variable importance - ANN

Hi everybody,
I created a neural network for a regression analysis with package ANN, but
now I need to know which is the significance of each predictor variable in
explaining the dependent variable. I thought to analyze the weight, but I
don't know how to do it.

Thanks in advance,
Giulia Di Lauro.

[[alternative HTML version deleted]]

__
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and provide commented, minimal, self-contained, reproducible code.
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Re: [R] Variable importance - ANN

2013-12-04 Thread Max Kuhn
If you are using the nnet package, the caret package has a variable
importance method based on Gevrey, M., Dimopoulos, I.,  Lek, S. (2003).
Review and comparison of methods to study the contribution of variables in
artificial neural network models. Ecological Modelling, 160(3), 249-264. It
is based on the estimated weights.

Max


On Wed, Dec 4, 2013 at 6:41 AM, Giulia Di Lauro giulia.dila...@gmail.comwrote:

 Hi everybody,
 I created a neural network for a regression analysis with package ANN, but
 now I need to know which is the significance of each predictor variable in
 explaining the dependent variable. I thought to analyze the weight, but I
 don't know how to do it.

 Thanks in advance,
 Giulia Di Lauro.

 [[alternative HTML version deleted]]

 __
 R-help@r-project.org mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide
 http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.




-- 

Max

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