Practice Local Interpretable Model Training - 3.3.1.1.4 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

3.3.1.1.4 - Local Interpretable Model Training

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does LIME stand for?

πŸ’‘ Hint: Think about the focus of interpretability.

Question 2

Easy

Why is it important for AI models to be interpretable?

πŸ’‘ Hint: Consider the stakeholders 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 is the main purpose of LIME?

  • To provide local explanations
  • To optimize model accuracy
  • To analyze global feature responses

πŸ’‘ Hint: Think about its full name.

Question 2

SHAP is based on which theory?

  • Statistics
  • Game Theory
  • Machine Learning

πŸ’‘ Hint: Consider what concept underpins fair attribution.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Demonstrate how you would conduct a local interpretability analysis using LIME for a specific prediction in a healthcare model.

πŸ’‘ Hint: Remember to consider a few features related to patient history.

Question 2

Imagine you are presenting a model to stakeholders who are concerned with fairness in predictions. How can you employ SHAP to address their concerns?

πŸ’‘ Hint: Think about what questions stakeholders might have about fairness.

Challenge and get performance evaluation