Which of the following procedure is used to break datasets into different pairs of training and testing sets?
A) resampling
B) sampling
C) trial and error
D) random

Question

Quizplus · Accepted Answer

Resampling, particularly cross-validation, is commonly used to break datasets into different pairs of training and testing sets. This helps in reducing the variance in the estimates of the performance metrics of a model. Sampling, on the other hand, is commonly used to randomly select observations from a dataset. Trial and error and random are not valid options for breaking datasets into training and testing sets.

Which of the Following Procedure Is Used to Break Datasets