Practice - Black Box Prediction
Practice Questions
Test your understanding with targeted questions
What is a black box model?
💡 Hint: Think about how transparent a model's decisions are.
What does XAI stand for?
💡 Hint: What do we call AI methods that clarify how decisions are made?
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary focus of LIME?
💡 Hint: Think about whether LIME is for one prediction or many.
True or False: SHAP is solely focused on local explanations.
💡 Hint: Consider the breadth of SHAP's capabilities.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a healthcare AI system that predicts heart disease risk but does not reveal how it reaches its conclusions. Apply the concepts of LIME and SHAP to propose how you would communicate the model's predictions to patients.
💡 Hint: Think about the needs of patients for understanding their health conditions.
Imagine you are a data scientist responsible for an AI model used in hiring. The management demands no bias in decisions, yet the model is a black box. How might you employ SHAP to tackle these concerns?
💡 Hint: Consider how transparency could influence hiring outcomes.
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Reference links
Supplementary resources to enhance your learning experience.