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  3. Support Vector Machines in R

Exercise

Quadratic SVM for complex dataset

In this exercise you will build a default quadratic (polynomial, degree = 2) linear SVM for the complex dataset you created in the first lesson of this chapter. You will also calculate the training and test accuracies plot the classification boundary against the training dataset. The e1071 library has been loaded, and test and training datasets have been created for you and are available in the data frames trainset and testset.

Instructions 1/3

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  • Build a polynomial SVM of degree 2 using the default parameters.