Dear John,
there *are* indeed 3 classifiers trained, as you can see from
predict(model, iris, decision.values = TRUE)
However, the coefficients are stored in a compressed format -- see
svminternals.txt in the /doc subdirectory.
Best
David
-----------------
I run multiclass SVM for iris data, which contains 3 classes (manual page
52). Based on manual, the implementation uses one-against-one approach:
k*(k-1)/2 binary classifiers trained. However, I am getting only two models
instead of three (only two columns of support vectors and coefficients).
What do I miss?
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