SVM Classifier Quiz
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Questions and Answers

Who introduced the Support Vector Machine classifier?

  • Vapnik and Chervonenkis (correct)
  • Yann LeCun
  • Geoffrey Hinton
  • Andrew Ng
  • What is another name for Support Vector Machines (SVM)?

  • Naive Bayes classifier
  • Maximum margin classifier (correct)
  • K-nearest neighbors classifier
  • Decision tree classifier
  • In SVM, what does a hyperplane do?

  • Fits a curve to the data
  • Calculates the mean of the data
  • Separates data belonging to two different classes (correct)
  • Clusters the data points
  • When is a data set considered linearly separable in the context of SVM?

    <p>If the convex hull of the positive category and the convex hull of the negative category do not intersect</p> Signup and view all the answers

    What is the primary characteristic of Support Vector Machines (SVM) as a classification technique?

    <p>Useful and robust</p> Signup and view all the answers

    Study Notes

    Machine Learning Summer 2023 Lecture 15: Support Vector Machine Classifier

    • Topic: Support Vector Machine (SVM) - Hard Margin
    • Instructor: Dr. Tanmay Basu
    • Scribes: Not subjected to usual scrutiny for formal publications
    • Contact: [email protected] for queries/suggestions
    • SVM: Useful and robust classification technique
    • Also known as maximum margin classifier
    • Introduced by Vapnik and Chervonenkis
    • Method finds a hyperplane to separate data of two classes
    • Focus of article: SVM for linearly separable data
    • Definition of linearly separable data
    • Example of linearly separable data with positive and negative categories
    • Reference to Figure 15.1 showing linearly separable data

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    Description

    Test your understanding of support vector machine (SVM) classifiers with this machine learning quiz. Challenge your knowledge of hard margin SVM, and solidify your understanding of the lecture material.

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