Question

In a Decision Tree, the leaf node represents a
Predictor variable
Response variable.​

Answer 1

Answer:

Response variable

Explanation:

Response variable

Answer 2

The correct answer is OPTION B: Response Variable

• A Decision Tree is a supervised and immensely valuable Machine Learning technique in which each node represents a predictor variable, the link between the nodes represents a Decision, and each leaf node represents the response variable.
• Here are some compelling reasons to use a Decision Tree:

1. It's often considered to be the most understandable and interpretable Machine Learning algorithm.
2. It can be used to address classification and regression difficulties.
3. Unlike most Machine Learning algorithms, it works well with non-linear data.
4. Building a Decision Tree is a rapid process because it just employs one feature per node to segment the data.