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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are Shapley values used for?
π‘ Hint: Think about the fairness in assigning credit to features.
Question 2
Easy
Define marginal contribution in your own words.
π‘ Hint: What happens when you add a feature to a set?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What do Shapley values help with in machine learning?
π‘ Hint: Consider how different features interact.
Question 2
True or False: Marginal contributions take into account only the last feature added.
π‘ Hint: Think about combinations of features.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Suppose you have a machine learning model predicting house prices based on features like size, neighborhood, and age. Explain how you'd set up a Shapley value calculation for a new property and what information you'd derive from it.
π‘ Hint: Utilize combinations of features to analyze contribution.
Question 2
Illustrate how marginal contribution calculations might differ between a linear and non-linear model. What are the implications for feature interactions?
π‘ Hint: Consider the types of relationships in your models.
Challenge and get performance evaluation