Bayesian Classification Quiz
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Questions and Answers

What is the key idea behind Bayesian classification?

  • Assuming that the features follow a Gaussian (normal) distribution within each class
  • Modeling the probability distribution of word occurrences in each class
  • Calculating the probability that a given data instance belongs to each class and then assigning the instance to the class with the highest probability (correct)
  • Assuming that features are conditionally independent given the class label
  • What is the Naive Bayes classifier based on?

  • Assuming that features are conditionally independent given the class label (correct)
  • Calculating the probability that a given data instance belongs to each class and then assigning the instance to the class with the highest probability
  • Assuming that the features follow a Gaussian (normal) distribution within each class
  • Modeling the probability distribution of word occurrences in each class
  • In which type of data is Multinomial Naive Bayes classifier used?

  • Discrete data (correct)
  • Ordinal data
  • Continuous data
  • Categorical data
  • What does Gaussian Naive Bayes classifier assume about the features?

    <p>They follow a Gaussian (normal) distribution within each class</p> Signup and view all the answers

    What is the fundamental principle in probability theory that Bayesian classification is based on?

    <p>Bayes' theorem</p> Signup and view all the answers

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