Practice Precision - 29.5 | 29. Model Evaluation Terminology | CBSE Class 10th AI (Artificial Intelleigence)
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Knowledge

29.5 - Precision

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define precision in the context of model evaluation.

💡 Hint: Think about what it means for a model to predict a positive outcome.

Question 2

Easy

What is the formula for calculating precision?

💡 Hint: Look for the terms used in the definition.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does precision measure in a model?

  • Overall correctness
  • Reliability of positive predictions
  • General performance

💡 Hint: Remember, it focuses only on the positives.

Question 2

False positives contribute to which evaluation metric?

  • True
  • False

💡 Hint: Consider how inaccurate predictions impact metrics.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You developed a model that predicts a health condition. If it correctly identifies 50 out of 70 actual cases as positive but wrongly identifies 20 healthy individuals as positive, calculate the model's precision and discuss the implications of this result.

💡 Hint: Use the precision formula to calculate.

Question 2

If a model has a high precision rate but a low recall rate, what might this indicate about the model's performance? Give an example of what this could look like in a real-world context.

💡 Hint: Think about how precision and recall interact with one another.

Challenge and get performance evaluation