Question: SVM Model in LibSVM Train SVM to learn non-linear decision boundaries such as a Polynomial or an RBF curve. 1. Build a non-linear SVM model

SVM Model in LibSVM

Train SVM to learn non-linear decision boundaries such as a Polynomial or an RBF curve.

1. Build a non-linear SVM model with a polynomial kernel with degree 2 & test it on the any test set.

What are the obtained testing errors?

Which SVM model gives the lowest testing error?

How to do you explain that?

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