Classification problems are distinguished from estimation problems in that
A) classification problems require the output attribute to be numeric.
B) classification problems require the output attribute to be categorical.
C) classification problems do not allow an output attribute.
D) classification problems are designed to predict future outcome.

Question

Quizplus · Accepted Answer

Classification problems require the output attribute to be categorical or nominal, while in estimation problems, the output attribute is typically numerical. Choices A and C are incorrect because classification problems do not require an output attribute to be numeric, nor do they disallow an output attribute. Choice D is also incorrect because both classification and estimation problems can be used to predict future outcomes.

Classification Problems Are Distinguished from Estimation Problems in That