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A multiclass classification problem

In this exercise, you will use the svm() function from the e1071 library to build a linear multiclass SVM classifier for a dataset that is known to be perfectly linearly separable. Calculate the training and test accuracies, and plot the model using the training data. The training and test datasets are available in the dataframes trainset and testset. Use the default setting for the cost parameter.

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.

#load library and build svm model
library(___)
svm_model<- 
    svm(y ~ ., data = ___, type = "C-classification", 
        kernel = ___, scale = FALSE)
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