Practice - Recall (Sensitivity)
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Practice Questions
Test your understanding with targeted questions
Define recall in the context of model evaluation.
💡 Hint: Think about what it means to detect true positives.
What does a high recall indicate?
💡 Hint: Consider how this impacts the identification of relevant examples.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does recall measure in AI?
💡 Hint: Recall is concerned with actual positive results.
True or False: Recall is an important metric in applications where missing a positive case is critical.
💡 Hint: Think about scenarios where errors could lead to significant consequences.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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