Dear all,
I would like to use KSVM with weighted classes. Thus I created a named
vector as follows:
> VECT = c(1.0, 0.5, 0.7)
> names(VECT) = c("negative", "positive", "uncertain")
> VECT
negative positive uncertain
1.0 0.5 0.7
The data TRAIN contains the following levels:
> unique(TRAIN$z)
[1] negative positive uncertain
Levels: negative positive uncertain
Actually, I copied and pasted these values to create VECT.
Then I ran the model as follows:
> mod = ksvm(z ~ a+b, data = TRAIN,
+ type = "C-svc",
+ kernel = "rbfdot",
+ kpar = "automatic",
+ C = 1,
+ prob.model = TRUE,
+ class.weights = VECT
+ )
Error in .local(x, ...) :
At least one level name is missing or misspelled.
>
Since there are only values for the variable z and I pasted them into
VECT, how can this be a misspelling error?
Would you have any tips?
Thank you,
Luigi
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