[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.
Re: [R] Variable importance - ANN
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.
Re: [R] Variable importance - ANN
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 [[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.