Cross-validation is necessary because of which of the following problems associated with predictive accuracy?
A)shrinkage
B)inflation
C)bias
D)contamination

Question

Quizplus · Accepted Answer

Cross-validation helps to address the problem of shrinkage, which occurs when a model performs well on training data but less so on unseen data. It provides a more accurate estimate of a model's predictive accuracy by using different subsets of the data for training and validation.

Cross-Validation Is Necessary Because of Which of the Following Problems