Building a linear SVM classifier
In this exercise, you will use the svm() function from the e1071 library to build a linear SVM classifier using training dataset you created in the previous exercise. The training dataset has been loaded for you in the dataframe trainset
Deze oefening maakt deel uit van de cursus
Support Vector Machines in R
Oefeninstructies
- Load the
e1071library. - Build an SVM model using a linear kernel.
- Do not scale the variables (this is to allow comparison with the original dataset later).
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
library(___)
#build svm model, setting required parameters
svm_model<- svm(y ~ .,
data = ___,
type = "C-classification",
kernel = "___",
scale = ___)