ISACA Certified Artificial Intelligence Auditor (CAIA) — Question 47

Which of the following is the PRIMARY advantage of using K-fold cross validation when evaluating the performance of a machine learning (ML) model?

Answer options

• A. It facilitates performing regressions on smaller data sets.
• B. It helps minimize computational costs when evaluating complex models.
• C. It enables the reduction of model bias by setting the K variable to higher values.
• D. It uses multiple training and testing cycles to minimize overfitting.

Correct answer: D

Explanation

The correct answer is D because K-fold cross validation uses multiple training and testing cycles, which helps ensure that the model generalizes well to unseen data, thereby minimizing overfitting. Options A and B are incorrect as they do not accurately reflect the primary purpose of K-fold cross validation, and option C misrepresents the relationship between the K value and model bias.