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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does LIME stand for?
💡 Hint: Think about what 'LIME' helps with in AI.
Question 2
Easy
What is the main purpose of Weighted Local Sampling?
💡 Hint: Focus on how we assess what matters in explanations.
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 Integrated Model Explanations
- Local Interpretable Model-agnostic Explanations
- Linear Integrated Machine Explanations
💡 Hint: Focus on what 'interpretable' and 'model-agnostic' mean.
Question 2
True or False: In Weighted Local Sampling, perturbations that are further from the original input are assigned higher weights.
- True
- False
💡 Hint: Think about how importance is determined in this context.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a black-box model that predicts the likelihood of loan approval based on several attributes. Craft a detailed explanation using LIME's approach, outlining how you'd perturb the input and weigh the samples.
💡 Hint: Remember to assess which small changes offer the most clarity.
Question 2
Using a sentiment analysis model that categorizes movie reviews as positive or negative, describe how you would apply Weighted Local Sampling to understand a specific prediction.
💡 Hint: Focus on understanding how positive and negative sentiments contribute to predictions.
Challenge and get performance evaluation