Practice Local Explanations - 3.2.1 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.2.1 - Local Explanations

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does LIME stand for?

πŸ’‘ Hint: Look for a technique that explains individual predictions.

Question 2

Easy

Why are local explanations important in AI?

πŸ’‘ Hint: Think about user trust in sensitive applications.

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 the primary goal of local explanations in AI?

  • To increase model accuracy
  • To clarify individual predictions
  • To reduce data requirements

πŸ’‘ Hint: Consider the purpose behind explaining predictions.

Question 2

True or False: LIME can be applied to any machine learning model regardless of its type.

  • True
  • False

πŸ’‘ Hint: Think about the versatility of LIME.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss how using LIME in a healthcare AI might change how a doctor interacts with AI-generated diagnoses. What potential ethical considerations arise?

πŸ’‘ Hint: Think about shifts in responsibility and patient trust.

Question 2

Compare how local and global explanations differ in their approach to interpretability using a practical example.

πŸ’‘ Hint: Consider the scale at which each operates.

Challenge and get performance evaluation