Practice Methods - 5.6.1 | 5. Latent Variable & Mixture Models | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does AIC stand for?

πŸ’‘ Hint: Think of a name associated with model selection.

Question 2

Easy

What does a lower AIC value indicate?

πŸ’‘ Hint: Lower scores are often seen as favorable in statistics.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does AIC stand for?

  • Alpha Information Criterion
  • Akaike Information Criterion
  • Alternative Information Criterion

πŸ’‘ Hint: Remember that it relates to model selection.

Question 2

A lower BIC is indicative of what?

  • True
  • False

πŸ’‘ Hint: Lower is generally better in model selection criteria.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss the implications of choosing a model based solely on AIC when the underlying data is non-Gaussian.

πŸ’‘ Hint: Explore the types of data and their fundamental properties.

Question 2

Given a scenario with a dataset of 100 samples, explain how you would approach model selection using AIC and BIC.

πŸ’‘ Hint: Think about how sample size affects the model's evaluation.

Challenge and get performance evaluation