Practice Need For Evaluation (8.2) - Evaluation - CBSE 10 AI (Artificial Intelleigence)

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10 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define correctness in the context of AI.
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Think about accurate predictions.
Question 2.
What does it mean for a model to be robust?
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Consider how it reacts to different inputs.
3Question 3.
What is meant by the term correctness in AI evaluation?
- Accuracy of predictions
- Speed of processing
- Complexity of the model
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Focus on the result of the predictions.
4Question 4.
Is robustness important for AI models?
- True
- False
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Think about different scenarios.
Question 5.
Analytically evaluate a situation where lacking robustness led to a significant failure in an AI application.
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Reflect on how diverse data scenarios are essential.
Question 6.
Critically examine how biases formed from inadequate evaluation can perpetuate through AI applications.
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Identify the importance of evaluation to mitigate such impact.

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