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Tuning a linear SVM

In this exercise you will study the influence of varying cost on the number of support vectors for linear SVMs. To do this, you will build two SVMs, one with cost = 1 and the other with cost = 100 and find the number of support vectors. A model training dataset is available in the dataframe trainset.

This exercise is part of the course

Support Vector Machines in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

#build svm model, cost = 1
svm_model_1 <- svm(y ~ .,
                   data = ___,
                   type = "C-classification",
                   cost = ___,
                   kernel = "___",
                   scale = FALSE)

#print model details
___
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