Recent research evidence has concluded which of the following about cross-validation approaches?
A)No statistical corrections provide a satisfactory solution to the problem which cross-validation seeks to address.
B)Formula and empirical cross-validation are both equally efficient, simple to use, and accurate.
C)Formula cross-validation is more efficient, simpler to use, and no less accurate than empirical validation.
D)Empirical cross-validation is more efficient, simpler to use, and no less accurate than formula cross-validation.

Question

Quizplus · Accepted Answer

Formula cross-validation is generally considered more efficient and simpler to use than empirical cross-validation, without sacrificing accuracy. This is because formula cross-validation relies on mathematical models that can be applied consistently across different datasets, making it a more streamlined and less resource-intensive approach compared to the empirical method, which requires separate data sets for training and testing.

Recent Research Evidence Has Concluded Which of the Following About