What is the primary purpose of a decision tree in machine learning?

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Question: What is the primary purpose of a decision tree in machine learning?

Options:

Correct Answer: To classify or predict outcomes based on input features

Solution:

A decision tree is primarily used for classification or regression tasks, where it predicts outcomes based on input features.

What is the primary purpose of a decision tree in machine learning?

What is the primary purpose of a decision tree in machine learning?

Step 1: Understand that a decision tree is a tool used in machine learning.
Step 2: Know that it helps in making decisions based on data.
Step 3: Learn that it can be used for two main tasks: classification and regression.
Step 4: Classification means predicting a category or class for an input (like 'spam' or 'not spam').
Step 5: Regression means predicting a numerical value (like predicting house prices).
Step 6: Realize that the decision tree uses input features (data points) to make these predictions.

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