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It serves as an independent variable that predicts the probability of a binary outcome.
It measures the variability of the dependent variable.
It transforms the dependent variable into a categorical variable.
It is used to calculate the mean of the response variable.
Understanding the Answer
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A parametrized predictor is an input that helps the model estimate how likely a binary outcome is. Other options are incorrect because This option mixes up the predictor with the outcome; Predictors do not turn the outcome into categories.
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Parametrized Predictors
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Definition
Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.
Topic Definition
Parametrized predictors are predictive models that are defined by a set of parameters, such as vectors or matrices. Examples include linear regression models for scalar and vector outputs. The parameters determine the structure and behavior of the predictor.
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