Practice Recall (Sensitivity or True Positive Rate) - 30.3.3 | 30. Confusion Matrix | CBSE Class 10th AI (Artificial Intelleigence)
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Practice Questions

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Question 1

Easy

What is the formula for Recall?

💡 Hint: Think about how we measure true positives against total positives.

Question 2

Easy

If a model has 60 True Positives and 20 False Negatives, what is its Recall?

💡 Hint: Use the Recall formula, substituting the values.

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 a classification model?

  • False Positives
  • True Positives
  • True Positive Rate

💡 Hint: Recall focuses on correctly identifying actual positives.

Question 2

True or False: A high Recall value means few False Negatives.

  • True
  • False

💡 Hint: Think about the implications of Recall in identifying positives.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of 200 cases with 80 True Positives, 5 False Negatives, and 15 False Positives. Calculate the Recall and discuss its adequacy in a healthcare setting.

💡 Hint: Use the formula and think about the importance of Recall in critical applications.

Question 2

A model shows TP = 40, FN = 10, and FP = 5 with 100 actual cases. Calculate Recall and suggest strategies to improve it.

💡 Hint: Consider practical approaches to address Recall in your explanation.

Challenge and get performance evaluation