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SVM Fundamentals
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SVM Fundamentals

Created by
@CompatibleGreen

Questions and Answers

What is the default behavior of SVM as a classifier?

  • SVM works as a multi-class classifier
  • SVM works as a non-linear classifier
  • SVM works as a binary classifier
  • SVM works as a linear classifier (correct)

    • In SVM, what is the decision boundary in 2 dimensions?

  • A line (correct)
  • A point
  • A curve
  • A plane

    • In SVM, what is the separator in d dimensions?

  • A curve
  • A line
  • A point
  • A plane (correct)

    • What does it mean for a data set to be linearly separable?

    <p>It can be separated into a required number of classes</p> Signup and view all the answers

    What are the applications of SVM?

    <p>Classification</p> Signup and view all the answers

    Which of the following correctly describes the decision boundary in SVM?

    <p>A hyperplane in d dimensions</p> Signup and view all the answers

    What is the default behavior of SVM as a classifier?

    <p>Linear classifier</p> Signup and view all the answers

    In SVM, what is the separator in d dimensions called?

    <p>Hyperplane</p> Signup and view all the answers

    What does it mean for a data set to be linearly separable in SVM?

    <p>The data set can be separated by a line</p> Signup and view all the answers

    What are the applications of SVM?

    <p>Classification</p> Signup and view all the answers

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