Machine Intelligence & Ensemble Learning Quiz - UE21CS352A
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Questions and Answers

What is Ensemble Learning's basic idea?

  • Relying on one highly sophisticated model for learning to save time
  • Using multiple models, some computationally inexpensive, to improve predictive power (correct)
  • Using only strong learners like SVM for better accuracy
  • Building weak learners like a Decision stump for computational efficiency

    • What is the example of a weak learner mentioned in the text?

  • Perceptron with high predictive power
  • Decision stump - Decision tree with only 1 decision node (correct)
  • Support Vector Machine (SVM)
  • Random classifier with low accuracy

    • What is the advantage of using weak learners in Ensemble Learning?

  • They have extremely high accuracy
  • They require less training and testing time
  • They always outperform strong learners
  • They are computationally inexpensive (correct)

    • Why is using multiple weak learners preferred over a single strong learner?

    <p>It improves predictive power</p> Signup and view all the answers

    What is the role of Ensemble Learning in the context of Machine Intelligence?

    <p>It presents a different approach to Machine Learning</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 how many dimensions does the separator become a (d-1) dimensional hyperplane in SVM?

    <p>4 dimensions</p> Signup and view all the answers

    What is the decision boundary in SVM in 2 dimensions?

    <p>A line</p> Signup and view all the answers

    What is the role of Dr. Rajnikanth K in the context of MACHINE INTELLIGENCE?

    <p>Academic Advisor, PESU</p> Signup and view all the answers

    What is one of the applications of SVM mentioned in the text?

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

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