__________ is a measure of the heterogeneity of observations in a classification tree.
A)Sensitivity
B)Specificity
C)Accuracy
D)Impurity

Question

Quizplus · Accepted Answer

Impurity is a measure of the heterogeneity of observations in a classification tree. It represents the degree of mixing of the classes in a node. Impurity measures commonly used in decision trees include Gini impurity, entropy, and classification error.

__________ Is a Measure of the Heterogeneity of Observations in a Classification