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What is the primary purpose of using Random Forests in machine learning?
Practice Questions
Q1
What is the primary purpose of using Random Forests in machine learning?
To increase model interpretability
To reduce variance and improve accuracy
To simplify the model
To eliminate the need for feature selection
Questions & Step-by-Step Solutions
What is the primary purpose of using Random Forests in machine learning?
Steps
Concepts
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.
No concepts available.
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