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3 cards from this section. Quick, good the night before a test.
What is the purpose of evaluating AI models?
Think about what information we gain from testing.
Name one risk associated with not evaluating an AI model?
Consider the outcomes of untested systems.
What does evaluating an AI model help determine?
Think about what you'd want to verify before using it in practice.
True or False: A model that overfits performs well on unseen data.
What happens when a model learns patterns too strictly?
Design a hypothetical AI system for diagnosing illnesses. Describe in detail how you would evaluate its performance.
Think about which metrics are most important for healthcare applications.
Critique a fictional scenario where a weather prediction model was used without evaluation, leading to faulty forecasts. What were the consequences?
Visualize how human behavior could be affected by faulty predictions.
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