Practice Perturbation of the Input - 3.3.1.1.1 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.3.1.1.1 - Perturbation of the Input

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define LIME in your own words.

πŸ’‘ Hint: Think about how changing inputs could impact outputs in a model.

Question 2

Easy

What does perturbation mean in the context of LIME?

πŸ’‘ Hint: What happens to the input data when it’s slightly altered?

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 LIME stand for?

  • Local Interpretable and Model-agnostic Explanations
  • Local Interpretive Model-agnostic Explanations
  • Local Interpretable Model-agnostic Explanations

πŸ’‘ Hint: Look for words emphasizing individual understanding and flexibility.

Question 2

True or False: LIME can only be used with decision trees.

  • True
  • False

πŸ’‘ Hint: Consider whether the method is restricted to one type of model.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a dermatology AI that predicts skin conditions. You’re tasked with explaining a prediction using LIME. Discuss how you would approach input perturbation and the criteria for selecting which features to manipulate.

πŸ’‘ Hint: Think about what aspects of skin conditions matter most in evaluation.

Question 2

You have a language model predicting sentiment. Explain how you would use LIME to gain insights about a specific negative review, detailing the steps taken.

πŸ’‘ Hint: What specific words or phrases affect sentiment significantly?

Challenge and get performance evaluation