Practice Evaluation (2.5) - AI PROJECT CYCLE - CBSE 9 AI (Artificial Intelligence)

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9 questions

Flashcard drill
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 is the definition of accuracy in AI model evaluation?
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Think about how we judge a model's correctness.
Question 2.
What does a confusion matrix visualize?
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Consider how we categorize the outcomes.
3Question 3.
What metric indicates how often the model gives correct predictions?
- Efficacy
- Accuracy
- Reliability
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Focus on how we assess performance.
4Question 4.
True or False: Recall measures the ability of the model to identify positive cases.
- True
- False
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Think about what recall represents.
Question 5.
Given a true positive count of 80, false positive count of 20, and false negative count of 15, calculate precision and recall.
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Use the definitions for precision and recall.
Question 6.
Discuss the implications of deploying a healthcare AI model without sufficient evaluation. Provide examples of potential risks.
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Think about real-life consequences of health decisions.

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