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

Question

Quizplus · Accepted Answer

All three statements are true about cross-validation. Double cross-validation is a form of cross-validation where the sample dataset is split into two random halves, and the model is trained and tested on both halves. 
Cross-validation can be used to evaluate the model for chance variations and other issues associated with regression. 
Finally, cross-validation examines whether the regression model continues to hold on similar data that was not used during estimation. Therefore, option D is the correct answer.

Which Statement Is True About Cross-Validation