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In Classical Conditioning, Responses Are Said to Be

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In classical conditioning, responses are said to be


Definitions:

Underspecified Models

Models that do not have enough predictors or independent variables to adequately model the observed outcomes or responses.

Underspecified Model

An underspecified model is when a statistical model lacks enough parameters to accurately capture the underlying data structure or dynamics of the dataset.

Independent Variables

Variables in an experiment or model that are manipulated to observe their effect on dependent variables.

Relevant Predictors

Variables that have a significant impact on the outcome of a statistical model or prediction.

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