Exercise

Tuning an RBF kernel SVM

In this exercise you will build a tuned RBF kernel SVM for a the given training dataset (available in dataframe trainset) and calculate the accuracy on the test dataset (available in dataframe testset). You will then plot the tuned decision boundary against the test dataset.

Instructions 1/4

XP

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Use tune.svm() to build a tuned RBF kernel SVM.

Take Hint (-7 XP)