search for: nnetsiz

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2006 Feb 02
0
problem with nnet
...nalysis on 80% of chip data from both the classes.(selected by random sampling) 3> I then use the data of only the significant genes from this samr analysis to train nnet. 4> The parameters I am currently using for nnet are: result <- nnet(traindata[sortsamp,], targets[sortsamp,], size = nnetsize , rang =0.00000003 ,decay = 0.00009, maxit = 100, MaxNWts =100000) traindata is the significant gene's data, sortsamp is the randomly sampled number out of those genes and targets is the class indicator of the significant genes. 5> Then I am using the data from the chips left...