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Question & Answer
Choose the Best Answer
The accuracy will be higher than 90%
The accuracy will be lower than 50%
The accuracy will be around 78%
The accuracy cannot be determined without additional information
Understanding the Answer
Let's break down why this is correct
Sensitivity tells us how many sick people the model finds. Other options are incorrect because Many think a high sensitivity automatically means very high accuracy; Some assume that a low false positive rate guarantees accuracy above 50%.
Key Concepts
Sensitivity of Predictors
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Deep Dive: Sensitivity of Predictors
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Definition
The sensitivity of a predictor measures its responsiveness to changes in input features. Insensitive predictors exhibit stability in their predictions when inputs are close. Sensitivity is crucial for generalization and performance, especially with limited training data.
Topic Definition
The sensitivity of a predictor measures its responsiveness to changes in input features. Insensitive predictors exhibit stability in their predictions when inputs are close. Sensitivity is crucial for generalization and performance, especially with limited training data.
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