Hi all,
I don't know how to choose the formula to use when plotting an svm model, I
think I'm using the wrong one and so that is why I'm having trouble. I should
be very grateful if someone could help me on 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
Best regards,
Pedro Marques
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