You are given a dataset on movie reviews with a 1,000 labeled reviews. The labels are one of five movie genres: Action, Comedy, Drama, Horror, and Sci-Fi. The dataset has roughly 200 movie reviews for each movie genre.

Your first task is to learn a supervised classifier to identify just the reviews for Comedy movies from the dataset. Such a task is:

The dataset available for the first task is:

Suppose you decide to train a support vector machine classifier for this first task. The methodology you will employ will be a:

You are given a dataset on movie reviews with a 1,000 labeled reviews. The labels are one of five movie genres: Action, Comedy, Drama, Horror, and Sci-Fi. The dataset has roughly 200 movie reviews for each movie genre.

Your second task is to learn to identify all five movie genres. Such a task is:

The dataset available for the second task is:

Suppose you decide to train a support vector machine classifier for the second task. The methodology you will employ will be a:

How many binary classifiers will you need to train for the second task using the one-vs-one classification approach?