Hi all,
Sorry to be bothering again with probably an easy error to fix, but I've been
trying to solve the problem and haven't yet been able to do it. So, I'm doing
this:
> dados<-read.table("b.txt",sep="",nrows=30000)
> model<-svm(x=dados[,-1],y=dados[,1],scale=TRUE,type="C-classification",kernel="radial",cost=1,degree=3,gamma=0.083,coef0=0,nu=0.5,epsilon=0.1)
Warning message:
In svm.default(x = dados[, -1], y = dados[, 1], scale = TRUE, type =
"C-classification", :
Variable(s) V12 and V13 constant. Cannot scale data.
> summary(model)
Call:
svm.default(x = dados[, -1], y = dados[, 1], scale = TRUE, type =
"C-classification",
kernel = "radial", degree = 3, gamma = 0.083, coef0 = 0, cost = 1,
nu = 0.5, epsilon = 0.1)
Parameters:
SVM-Type: C-classification
SVM-Kernel: radial
cost: 1
gamma: 0.083
Number of Support Vectors: 19665
( 8284 7579 1327 943 510 875 147 )
Number of Classes: 7
Levels: (as integer)
2 1 3 7 5 6 4
> class<-factor(dados[,1])
> plot(model, data= dados[,-1], formula= class~.,svSymbol = 1, dataSymbol = 2,
> symbolPalette = rainbow(4),color.palette = terrain.colors)
Error in Summary.factor(c(2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, :
min not meaningful for factors
I should be very grateful if someone could help me on this..
Best regards,
Pedro Marques
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