Practice Recall (Sensitivity) - 8.4.3 | 8. Evaluation | CBSE Class 10th AI (Artificial Intelleigence)
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8.4.3 - Recall (Sensitivity)

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define recall in the context of model evaluation.

💡 Hint: Think about what it means to detect true positives.

Question 2

Easy

What does a high recall indicate?

💡 Hint: Consider how this impacts the identification of relevant examples.

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 recall measure in AI?

  • Precision of the model
  • Ability to identify true positives
  • Number of false positives

💡 Hint: Recall is concerned with actual positive results.

Question 2

True or False: Recall is an important metric in applications where missing a positive case is critical.

  • True
  • False

💡 Hint: Think about scenarios where errors could lead to significant consequences.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A fraud detection model investigates 50 cases of fraud. It identifies 40 fraud cases correctly but misses 10 actual frauds. Calculate the recall and discuss its impact on the business.

💡 Hint: Use recall formula to analyze the performance.

Question 2

In a study of 100 diseases, 30 were actually positive. The test identified 25 of them as positive but wrongly labeled 5 diseases as negative. Calculate recall and analyze the scenario.

💡 Hint: Focus on how to use the recall formula to assess outcomes.

Challenge and get performance evaluation