Kizspy | Question: 49
(Choose 1 answer)
You are explaining the concept of impurity to a colleague who is new to decision trees. Which of the following
statements best describes impurity in the context of decision trees?
A. Impurity measures the purity of a node in terms of class distribution.
B. Impurity measures the level of randomness in the dataset.
C. Impurity measures the depth of a decision tree to prevent overfit problem.
D. Impurity measures the number of features in a dataset that are not relevant for classification.
