Practice Instance Re-weighting - 10.5.1 | 10. Causality & Domain Adaptation | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of instance re-weighting in domain adaptation?

πŸ’‘ Hint: Think about mismatched distributions.

Question 2

Easy

What formula is used for assigning weights in instance re-weighting?

πŸ’‘ Hint: Consider the distributions involved.

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 instance re-weighting aim to correct?

  • Underfitting
  • Distribution mismatch
  • Overfitting

πŸ’‘ Hint: Consider how it aligns training with target performance.

Question 2

True or False: Instance re-weighting increases the importance of instances that are common in the source domain.

  • True
  • False

πŸ’‘ Hint: Think about which domain's instances are prioritized.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given a dataset with 90% healthy patients and 10% patients with a rare condition. How would you apply instance re-weighting to improve the model's predictive accuracy on the rare condition?

πŸ’‘ Hint: Focus on changing how the model treats the rare versus common classes.

Question 2

Discuss a case where implementing instance re-weighting without thorough testing might result in a biased model. How could such biases be identified post-implementation?

πŸ’‘ Hint: Think about varying results in different demographic segments.

Challenge and get performance evaluation