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refers to the scenario in which the analyst builds a model that does a great job of explaining the sample of data on which it
refers to the scenario in which the analyst builds a model that does a great job of explaining the sample of data on which it is based but fails to accurately predict outside the sample data.
Multiple Choice
Underfitting
CrossValidation
Overfitting
Estimation
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