_____ 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
a. Underfitting b. Overfitting
c. Oversampling d. Undersampling
b
RATIONALE: Overfitting occurs when 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.
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