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2004 Sep 23
0
nnet with weights parameter: odd error
...== i,] <- res[rand == i,] + predict(learn, data[rand == i,]) res[rand == i,] <- res[rand == i,] + resmatrix(res[rand == i,],learn,data, rand, i) } } factor(levels(truth)[max.col(res/nreps)], levels = levels(truth)) } res.nn2 <- CVnn2(GROUP ~ ., rae.data.subsetted1, skip = T, maxit = 500, nreps = cv.repeat) con(true = rae.data.subsetted$GROUP, predicted = res.nn2) ### Coordinates: platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 9.1 year 2004 month 06 day 21 lang...