Practice Recall (sensitivity Or True Positive Rate) (5.3.4) - Supervised Learning - Classification Fundamentals (Weeks 5)
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Recall (Sensitivity or True Positive Rate)

Practice - Recall (Sensitivity or True Positive Rate)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define recall in your own words.

💡 Hint: Think about how it relates to identifying true positives.

Question 2 Easy

What is the formula for recall?

💡 Hint: Remember the relationship between true positives and false negatives.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does recall measure?

The proportion of false positives
The proportion of actual positives correctly identified
The overall accuracy of the model

💡 Hint: Focus on the 'true positive' aspect.

Question 2

True or False: Recall is also known as the false positive rate.

True
False

💡 Hint: Revisit the definitions we've discussed.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a model that predicts whether an email is spam. It correctly identified 70 spam emails but missed 30. Calculate the recall and interpret its result.

💡 Hint: Calculate using the recall formula.

Challenge 2 Hard

Discuss how you would improve recall in a fraud detection system without significantly impacting user experience.

💡 Hint: Think of strategies that balance detection with user satisfaction.

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Reference links

Supplementary resources to enhance your learning experience.