Practice Why It's Important (2.5.3) - AI PROJECT CYCLE - CBSE 9 AI (Artificial Intelligence)

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9 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is model evaluation?
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Think about why we test models before using them.
Question 2.
Name one metric used in evaluating AI models.
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It's about how often the model gets the right answer.
3Question 3.
What is a key metric for evaluating model performance?
- R-squared
- Accuracy
- F1-score
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It's often the first metric mentioned.
4Question 4.
True or False: Evaluation is only necessary if the model performs poorly during training.
- True
- False
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Think about deployment risks.
Question 5.
Describe a scenario where a lack of evaluation could lead to a detrimental outcome in AI use.
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Consider sectors where trust is crucial.
Question 6.
Create an evaluation plan addressing potential biases in AI model predictions.
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Reflect on fairness and representation.

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