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Question & Answer
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It indicates the limit beyond which a predictor is considered significant.
It measures the overall accuracy of the model.
It is the average value of all predictors combined.
It shows the correlation between two predictors.
Understanding the Answer
Let's break down why this is correct
The threshold is a cutoff number. Other options are incorrect because People sometimes think the threshold tells how well the whole model works, but it only deals with individual predictors; Some think the threshold is the average of all predictors, but it is not a mean.
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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