Practice Evaluation (7.2.5) - AI Project Cycle - CBSE 11 AI (Artificial Intelligence)

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10 questions

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4 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does accuracy in AI model evaluation mean?
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Think about what it means to be correct.
Question 2.
What is precision?
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Consider what it means to predict something positively.
3Question 3.
What is the primary purpose of the Evaluation phase?
- To train the model
- To assess model performance
- To collect data
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Remember the purpose behind each phase in the AI cycle.
4Question 4.
True or False: High accuracy always means a good model.
- True
- False
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Consider what else can affect model reliability.
Question 5.
A model has an accuracy of 90% but a recall of only 50%. What does this indicate about the model's performance?
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Consider how many true positives it identifies among the total positives.
Question 6.
You have a dataset with a serious imbalance between classes (90% Negative, 10% Positive). Discuss your evaluation metric strategy.
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Think about how each metric plays a role in performance assessment.

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