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Support Vector Machine (SVM)
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Support Vector Machine (SVM)

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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</p> Signup and view all the answers

    What is the role of hyperplanes in SVM?

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

    Why is maximizing the margin important in SVM?

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

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