Hi Georg, I am new to R and I am curious if there is a simple way to do the feature selection you described:
"feature selection is essentially an exhaustive approach which tries every possible subset of your predictors, trains a network and sees what the prediction error is. The subset which is best (lowest error) is then chosen in the end. It normally (as a side-effect) also gives you something like an importance ranking of the variables when using backward or forward feature selection. But be careful of interactions between variables. " Is it an option with nnet or should I use leaps in conjunction with nnet ? Thanks, Arun -- View this message in context: http://r.789695.n4.nabble.com/Need-help-on-nnet-tp3081744p3630984.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
