Support Vector Machine (SVM)

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson
Download our mobile app to listen on the go
Get App

Questions and Answers

What type of tasks can Support Vector Machines (SVM) be used for?

  • Weather prediction, stock market analysis, social media monitoring
  • Music composition, video editing, game development
  • Summarization, translation, transcription
  • Text classification, image classification, spam detection (correct)

What is the main goal in SVM when finding the hyperplane?

  • Only consider one class for separation
  • Ignore the margin and focus on speed
  • Maximize the margin between the classes (correct)
  • Minimize the margin between the classes

What are support vectors in SVM?

  • Data points farthest from the hyperplane
  • Data points in the center of the data distribution
  • Data points closest to the hyperplane (correct)
  • Data points in a random order

How do SVMs handle high-dimensional data?

<p>Efficiently by finding optimal hyperplanes (B)</p> Signup and view all the answers

What is the role of hyperplanes in SVM?

<p>Decision boundary to separate data points into classes (D)</p> Signup and view all the answers

Why is maximizing the margin important in SVM?

<p>Helps improve classification accuracy (D)</p> Signup and view all the answers

Flashcards are hidden until you start studying

More Like This

Support Vector Classifier Quiz
25 questions
Support Vector Machines Overview
34 questions
Use Quizgecko on...
Browser
Browser