29.6 - Recall (Sensitivity or True Positive Rate)
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Practice Questions
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What does Recall measure in machine learning?
💡 Hint: Think about the positive cases in a dataset.
How is Recall calculated?
💡 Hint: What do you need to know about True Positives?
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is Recall also known as?
💡 Hint: Think about its application in healthcare.
True or False: A high Recall means that there are no False Negatives.
💡 Hint: Consider what it means to have a high Recall.
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Challenge Problems
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A model has 100 True Positives, 10 False Negatives, and 70 True Negatives. Calculate Recall and explain its significance.
💡 Hint: Ensure you understand the implications of the Recall result.
Discuss the trade-offs between Recall and Precision in a healthcare application.
💡 Hint: Consider how a model could benefit from optimizing both metrics.
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