Practice Model Evaluation Terminology - 29 | 29. Model Evaluation Terminology | CBSE 10 AI (Artificial Intelleigence)
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Model Evaluation Terminology

29 - Model Evaluation Terminology

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define True Positive.

💡 Hint: Look for the correct identification of positive cases.

Question 2 Easy

What does accuracy measure?

💡 Hint: Think about total correct predictions versus total predictions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a True Positive indicate?

The model predicted YES
it is YES
The model predicted NO
it is YES
The model predicted YES
it is NO

💡 Hint: Consider what 'true' means in a prediction context.

Question 2

Accuracy is calculated as?

💡 Hint: Think about the total count of correct outcomes.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a model that correctly identifies 120 out of 150 positive cases and mistakenly identifies 30 as positive. Calculate the model's accuracy, precision, and recall.

💡 Hint: Think systematically through definitions and formulas.

Challenge 2 Hard

Discuss a scenario where high recall is necessary but low precision is acceptable. What would it look like?

💡 Hint: Think about contexts where missing a positive could have severe consequences.

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