A _____ can be learned by splitting the source set into subsets based on an attribute value test.
A)Clustering
B)RFM
C)Decision Tree
D)Regression analysis
E)Fuzzy Logic

Question

Quizplus · Accepted Answer

This is the definition of a decision tree. Decision trees learn by recursively splitting the source set into subsets based on attribute value tests, with the goal of creating branches that result in the smallest impurity in the leaf nodes.

A _____ Can Be Learned by Splitting the Source Set