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In classical conditioning, responses are said to be
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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