The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.
A) training; test
B) positive; negative
C) holdout; training
D) matrix; test

Question

Quizplus · Accepted Answer

The simple split methodology involves splitting the data into two mutually exclusive subsets called a training set and a test set. The training set is used to build the model, while the test set is used to evaluate the performance of the model on unseen data. Choice A correctly identifies these subsets. Choice B refers to a different concept (positive and negative) and choice C is a variation of the simple split methodology where the holdout set is used for final evaluation after model selection. Choice D is not a commonly used term in the context of machine learning.

The Simple Split Methodology Splits the Data into Two Mutually