A __________ classifies a categorical outcome variable by splitting observations into groups via a sequence of hierarchical rules.
A)regression tree
B)scatter chart
C)classification tree
D)confusion matrix

Question

Quizplus · Accepted Answer

A classification tree is a common machine learning technique for predicting categorical outcomes. It works by recursively splitting the data set into smaller and smaller groups, based on the most informative features or variables, until it can predict the class label of each observation with high accuracy. Each node in the tree represents a certain condition (e.g., if age < 50) and each branch represents one of two possible outcomes (e.g., yes or no). The final leaves of the tree correspond to the different classes that the outcome variable can take.

A __________ Classifies a Categorical Outcome Variable by Splitting Observations