Quiz – Model Evaluation Metrics

Question 1 of 6

1. Question

Never, it is automatic

Before training

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After deployment

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Only if the model fails

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Never, it is automatic

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Question 2 of 6

2. Question

The number of layers

Stakeholder needs to avoid costly errors

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The GPU memory size

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The programming language

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The number of layers

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Question 3 of 6

3. Question

The cloud provider

Class imbalance and fairness issues

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The model file size

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The training duration

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The cloud provider

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Question 4 of 6

4. Question

Ignoring fairness

Transparency

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Secrecy

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Random choice

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Ignoring fairness

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Question 5 of 6

5. Question

Match each evaluation idea to its description.

Sort elements

It shapes deployment success
Align with stakeholders
Explain metric selection openly
Watch for hidden imbalance

Choose metric early

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Precision recall tradeoff

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Transparency

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Benchmark awareness

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Question 6 of 6

6. Question

Name one classification metric whose tradeoff must be aligned with stakeholders.

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