Exercise

Visualizing decision & margin bounds using `plot()`

In this exercise, you will rebuild the SVM model (as a refresher) and use the built in SVM plot() function to visualize the decision regions and support vectors. The training data is available in the dataframe trainset.

Instructions

100 XP

Load the library needed to build an SVM model.
Build a linear SVM model using the training data.
Plot the decision regions and support vectors.

Take Hint (-30 XP)