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Question & Answer
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Parametrized predictors can only be used for linear relationships.
The parameters in a parametrized predictor define both its structure and behavior.
Non-linear models can also be considered as parametrized predictors.
Parametrized predictors do not require any data for determining the parameters.
The function g in a parametrized predictor can be adjusted to fit various data types.
Understanding the Answer
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Parameters decide how the predictor works, so they set its shape and behavior. Other options are incorrect because Some think predictors only work for straight lines; Some think parameters can be set without data.
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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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