Which statement is true about cross- validation.
A) It examines whether the regression model continues to hold on comparable data not used in the estimation.
B) A special form of validation is called double cross- validation where the sample is split into halves.
C) It can be used for evaluating the model for chance variations in the data and other problems associated with regression.
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

Cross-validation is a technique used to assess the generalizability of a model by testing it on different subsets of data. All the statements describe aspects of cross-validation, including its purpose (A), a specific method (B), and its utility in evaluating model robustness (C).

Which Statement Is True About Cross- Validation