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]] ______________________________________________ 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. Notice: This e-mail message, together with any attachme...{{dropped:11}} ______________________________________________ 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.
