Practice Post-hoc (2.4) - Explainable AI (XAI) and Model Interpretability

Practice: Post-Hoc

Lesson 2.4Explainable AI (XAI) and Model Interpretability

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9 questions

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3 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 does LIME stand for?
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Think about a tool that helps explain individual predictions.
Question 2.
Name one industry where post-hoc methods are important.
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Consider areas where decisions impact lives.
3Question 3.
What does the acronym LIME represent?
- Large Interpretative Model Explanations
- Local Interpretable Model-agnostic Explanations
- Lasting Interpretation of Machine Events
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Focus on individual predictions.
4Question 4.
True or False: SHAP is based on game theory principles.
- True
- False
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Recall how features contribute to predictions like players do in a game.
Question 5.
Design a scenario where LIME could significantly impact a medical diagnosis AI's acceptance in a hospital. What are the factors to consider?
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Think about the implications of healthcare decisions.
Question 6.
Assess the implications of using SHAP on a credit scoring model. What ethical considerations might arise?
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Analyze how data representation impacts outcomes.

5 more questions in this section. Enroll free to practise them all.