In the context of modeling types, supervised learning is called classification when
A) the target variable is continuous.
B) a testing dataset is used to evaluate the final selected algorithm.
C) the target variable is categorical.
D) an unlabeled dataset is used to develop an algorithm.

Question

Quizplus · Accepted Answer

In supervised learning, when the target variable is categorical (meaning it can be divided into classes), the task is called classification. The goal is to predict which category or class new observations belong to based on a training dataset where the category of each observation is already known.

In the Context of Modeling Types, Supervised Learning Is Called