Practice More Questions From: Module 3 Quiz
Q:
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:
Q:
The dataset available for the first task is:
Q:
Suppose you decide to train a support vector machine classifier for this first task. The methodology you will employ will be a:
Q:
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:
Q:
The dataset available for the second task is:
Q:
Suppose you decide to train a support vector machine classifier for the second task. The methodology you will employ will be a:
Q:
How many binary classifiers will you need to train for the second task using the one-vs-one classification approach?
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