Underfitting occurs when a prediction rule fails to capture useful structure in the target relation. A straight-line polynomial regression fitted to a genuinely quadratic noiseless target illustrates a representational limitation. Poor prediction alone does not identify the cause: compare candidate rules using cross-validation or a validation set, while keeping the final test set reserved for assessment.
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