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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does AIC stand for?
💡 Hint: What is the full name of AIC?
Question 2
Easy
True or False: Lower values of BIC indicate a better model.
💡 Hint: Remember what BIC assesses.
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 is one reason we select the number of components K in a mixture model?
- To avoid overfitting
- To increase complexity
- To ensure uniform distribution
💡 Hint: Think about what happens when a model is too complex.
Question 2
Is AIC related to model complexity?
- True
- False
💡 Hint: Consider how AIC factors in the number of parameters.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A researcher tests various K values from 2 to 10 for a dataset of 150 samples. After calculating AIC and BIC, they observe that both criteria favor K=5. Discuss why this validation is important.
💡 Hint: Consider what each criterion is indicating.
Question 2
Given two models with the following AIC values: Model 1 (K=3, AIC=300) and Model 2 (K=4, AIC=295), interpret these in terms of model selection.
💡 Hint: Think about the implications of AIC regarding trade-offs.
Challenge and get performance evaluation