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What is a key characteristic of ensemble methods like Random Forests?
Practice Questions
Q1
What is a key characteristic of ensemble methods like Random Forests?
They use a single model for predictions
They combine multiple models to improve performance
They require less computational power
They are only applicable to regression tasks
Questions & Step-by-Step Solutions
What is a key characteristic of ensemble methods like Random Forests?
Steps
Concepts
Step 1: Understand that ensemble methods are techniques that use multiple models together.
Step 2: Learn that Random Forests is a type of ensemble method that uses many decision trees.
Step 3: Know that the main idea is to combine the predictions from all these trees.
Step 4: Realize that by combining models, ensemble methods can make better predictions than a single model.
Step 5: Remember that this combination helps to reduce errors and improve the reliability of the results.
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