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 b

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 > -4

[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