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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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