how to plot one-class SVM in R?

Question

i'm using the package e1071 in R in order to build a one-class SVM model. I was able to model it and print the model, but i am having difficulties plotting it.

I have followed this link, and also this, which is using the iris dataset, but all SVM examples use C-classification.

library(e1071)

day = c(0,1,2,3,4,5,6)
weather = c(6,5,4,3,2,1,0) #on the example, it was: c(1,0,0,0,0,0,0)
happy = factor(c(T,T,T,T,T,T,T)) #on the example it was: happy = factor(c(T,F,F,F,F,F,F))

d = data.frame(day=day, weather=weather, happy=happy)
model = svm(happy ~ day + weather, data = d, type='one-classification') #on the example it was: model = svm(happy ~ day + weather, data = d)

plot(model, d)

Since it is one-class i modified the factors to the same label. It gives the following error:

Error in rect(0, levels[-length(levels)], 1, levels[-1L], col = col)
  cannot mix zero-length and non-zero-length coordinates
In addition: Warning messages:
1: package 'e1071' was built under R version 3.2.3
2: In Ops.factor(yorig, ret$fitted) : '-' not meaningful for factors

I am using R version 3.2.2 (2015-08-14) (windows).

How can i plot this model?

Thank you

Hi @Sebastian M. Müller. Yes, it does, but if you do not put it takes the default value 0.5 — Turay Melo, Apr 06 '16 at 17:31
Hi @lejlot i have. it gives an error of missing data... argument data missing... — Turay Melo, Apr 07 '16 at 09:31

score -1 · Answer 1 · edited May 23 '17 at 12:15

-1

thanks. I guess this answer works. If you are able to find how to plot for 2d in a quicker way, please share. Otherwise, this is great.

It presents a 3d plot for 3 feature values. It also draws the hyperplane and you can even play around with the nu value and see the increase or decrease of the margin. Very cool..

edited May 23 '17 at 12:15

Community

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answered Apr 07 '16 at 17:59

Turay Melo

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how to plot one-class SVM in R?

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