12.3.4 - Specificity
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Practice Questions
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Define specificity in the context of AI models.
💡 Hint: Think about what it means for negative cases.
What does TN stand for?
💡 Hint: Remember it's about correct predictions for negative cases.
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Interactive Quizzes
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What does specificity measure in model evaluation?
💡 Hint: Think about what it means for negative cases.
True or False: A high specificity ensures that negative cases are often misclassified as positive.
💡 Hint: Consider how false positives affect specificity.
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Challenge Problems
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An AI model identifies users as either legitimate (positive) or impostors (negative). If the model has a specificity of 0.95 and observes 100 actual impostors, how many are likely to be incorrectly categorized as legitimate?
💡 Hint: Use the definition of specificity to adjust your calculations.
In a healthcare application, a test shows a specificity of 0.9. If 200 tests result in false positives, how would you leverage this to assess the performance of the test?
💡 Hint: Model the logic of the specificity formula here.
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