12.3.2 - Recall (Sensitivity)
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Practice Questions
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What does recall measure?
💡 Hint: Think about how many of actual positives are captured.
What is the formula for calculating recall?
💡 Hint: Recall involves true positives and false negatives.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does recall measure in an AI model?
💡 Hint: Remember, recall is all about capturing positives!
True or False: Recall is the same as precision.
💡 Hint: Recall emphasizes capturing highs, while precision assesses correctness of predictions.
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Challenge Problems
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In an AI model testing for a rare disease, there are 90 true positives, 10 false negatives, and 100 true negatives. Calculate the recall and explain its significance.
💡 Hint: Focus on true positives and false negatives for your calculation.
Discuss how to balance recall and precision in a machine learning model designed for fraud detection in banking. What are the implications of focusing on one over the other?
💡 Hint: Reflect on the customer experience versus fraud detection efficiency.
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