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Published online by Cambridge University Press: 13 December 2024
Overfitting refers to the use of a model with more parameters than can be justified by the data. Models that are overfit are often poor at predicting the outcome of new observations, that is, observations that were not used in the construction of the model. The next example illustrates this concept.
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