What is the primary purpose of using Random Forests in machine learning?

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Question: What is the primary purpose of using Random Forests in machine learning?

Options:

Correct Answer: To reduce variance and improve accuracy

Solution:

Random Forests aim to reduce variance and improve accuracy by averaging multiple Decision Trees.

What is the primary purpose of using Random Forests in machine learning?

What is the primary purpose of using Random Forests in machine learning?

Step 1: Understand that Random Forests are a type of machine learning model.
Step 2: Know that they are made up of many smaller models called Decision Trees.
Step 3: Recognize that each Decision Tree makes its own predictions based on the data.
Step 4: Learn that Random Forests combine the predictions of all these Decision Trees.
Step 5: Understand that by averaging the predictions, Random Forests can reduce errors.
Step 6: Realize that this process helps to improve the overall accuracy of the model.

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