What is the basic idea behind a Support Vector Machine (SVM)?

Options

  • A. To find a decision boundary that separates classes while maximizing the margin between them
  • B. To group data randomly into different classes
  • C. To always construct a decision tree
  • D. To predict only time-series values
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. To find a decision boundary that separates classes while maximizing the margin between them

Detailed Explanation

Support Vector Machine (SVM) is a supervised learning algorithm commonly used for classification. Its basic idea is to find a decision boundary, called a hyperplane, that separates classes while attempting to maximize the margin between the classes.

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