How to evaluate and rank the contributions of the independent variables in the dependent variable in a Multilayer Perceptron Model

[email protected]
Newsgroups gmane.comp.ai.weka
Message-ID <162746223429.81574.13019427818140744025@sys-mailman-prd.its.waikato.ac.nz>
Hello everyone, May I ask how we can evaluate and rank the contributions of the independent variables in the dependent variable in a Multilayer Perceptron Model. I have built a MLP model with eight independent variables and 1 dependent variable. The correlation coeffiient is good as 98%. However I don't know how to determine which variable contributed the most or which one the least in the model I have estimated. My variables are all of numerical type. Can you help please? Thanks.
_______________________________________________
Wekalist mailing list -- [email protected]
Send posts to [email protected]
To unsubscribe send an email to [email protected]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html
lmpx.com only provides a reader for public news (NNTP) servers. It is not affiliated with the servers or forums shown here and is not responsible for the content of articles, which is written by their respective authors.