Question $3(45$ Points$)$:

Consider the learning task represented by the training example of the following table.

Suppose we have a system that observes a person's TV watching habits to recommend other TV shows the person may like. Suppose that we have characterized each show by whether it is a comedy, doctors, lawyers, or guns. The table shows a training set telling whether the person likes various TV shows or not.

$1.$ What are the features, and targets in this training dataset? How many classes does this example have?

$2.$ Use Support Vector Machines on the training dataset, to predict whether the user will like or not like the TV show with the attributes Comedy $=$ true, Doctors $=$ true, Lawyers $=$ False, Guns $=$ False

$3.$ Is Support Vector Machines a supervised or unsupervised learning? Explain why.