[R] polynomial svms and in-sample error

[Jessica Streicher]

Hi again!

This might be more of a statistical question, but anyway: 
If i train several support vector machines with different degrees of polynomials, and as result, get that higher degrees not only have a higher test error, but also a higher in-sample error, why is that?

I would assume i should get an in-sample error lower or at least the same as the linear case.

i'm worried i did something wrong there.