Practice Partial Dependence Plots (pdp) (3.3) - Explainable AI (XAI) and Model Interpretability

Practice: Partial Dependence Plots (PDP)

Lesson 3.3Explainable AI (XAI) and Model Interpretability

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a Partial Dependence Plot used for?
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Think about what it aims to clarify.
Question 2.
True or False: PDPs can only be applied to linear regression models.
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Consider if PDPs are model specific.
3Question 3.
What does a Partial Dependence Plot (PDP) visualize?
- The entire correlation across all features
- The effect of a single feature on predictions
- The accuracy of a model
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Focus on what the plot is meant to clarify.
4Question 4.
True or False: PDPs can reveal interactions between features.
- True
- False
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Consider the nature of the plots.
Question 5.
You have three features influencing a model’s prediction. Create separate PDPs for two of the features and describe their impact when analyzed independently.
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Make sure to clarify the relationships.
Question 6.
Given a PDP that begins to plateau after a certain feature value, formulate a hypothesis on what this means in practical applications.
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Think of real-world implications of such findings.

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