It is very useful to partition a large data set into all of the following subsets,except the _____ data set.
A)training
B)data
C)explanatory
D)prediction

Question

Quizplus · Accepted Answer

The correct term commonly used in the context of partitioning data sets for machine learning and data analysis is "validation" rather than "explanatory." Training, test, and validation (or prediction) subsets are standard, but "explanatory" is not a standard term for a type of data set in this context.

It Is Very Useful to Partition a Large Data Set