Other questions in this quiz

2. Which of the following statements about probabilities is false?

  • Joint probability distributions model relationships between multiple variables.
  • Two variables are independent if the knowledge of one does not affect the probability distribution of the other.
  • Probability density functions model mainly discrete data.
  • Probability density functions model mainly continuous data.

3. Which of the following statements about Naïve Bayes is false?

  • It computes probabilities by calculating proportions of instances.
  • It assumes that the attributes are conditionally independent.
  • It can be mainly applied to nominal attributes.
  • It uses Laplacian estimation to deal with missing values.

4. What is a prior probability?

  • The probability of observing the data, given that the a hypothesis holds.
  • The probability that a hypothesis holds, given the data.
  • The probability that a hypothesis holds without having observed any data.
  • The probability of observing the data without a hypothesis.

5. What is a mixture model?

  • A model combining simpler component distributions.
  • An optimization algorithm for maximizing likelihood.
  • A Gaussian model.
  • None of the other choices is correct.

Comments

No comments have yet been made

Similar Computing resources:

See all Computing resources »See all DM week 5 resources »