Re: [R] Need help on nnet

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

Re: [R] Need help on nnet

On 10/12/10 02:56:13, jothy wrote: Am working on neural network. Below is the coding and the output [...] summary (uplift.nn) a 3-3-1 network with 16 weights options were - b-h1 i1-h1 i2-h1 i3-h1 16.646.62 149.932.24 b-h2 i1-h2 i2-h2 i3-h2 -42.79 -17.40 -507.50

[R] Need help on nnet

Hi, Am working on neural network. Below is the coding and the output library (nnet) uplift.nn-nnet (PVU~ConsumerValue+Duration+PromoVolShare,y,size=3) # weights: 16 initial value 4068.052704 final value 3434.194253 converged summary (uplift.nn) a 3-3-1 network with 16 weights

[R] need help with nnet

HI, Dear R community, My data set has 2409 variables, the last one is response variable. I have used the nnet after feature selection and works. But this time, I am using nnet to fit a model without feature selection. I got the following error information: dim(train) [1] 1827 2409

Re: [R] need help with nnet

Thanks, Claudia! On Tue, Oct 12, 2010 at 9:54 AM, Claudia Beleites cbelei...@units.itwrote: I'm not sure how much fun it is to fit 7000 weights with 1800 samples, but you can tell nnet to allow more weights with MaxNWts, see ?nnet On 10/12/2010 06:45 PM, Changbin Du wrote: HI, Dear R