Which of the following is a key advantage of using Random Forests over a single

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Question: Which of the following is a key advantage of using Random Forests over a single decision tree?

Options:

Correct Answer: Reduced risk of overfitting

Solution:

Random Forests reduce the risk of overfitting by averaging the predictions of multiple decision trees, leading to better generalization.

Which of the following is a key advantage of using Random Forests over a single decision tree?

Which of the following is a key advantage of using Random Forests over a single decision tree?

Step 1: Understand what a decision tree is. A decision tree is a model that makes decisions based on asking a series of questions.
Step 2: Recognize that a single decision tree can sometimes make mistakes by fitting too closely to the training data, which is called overfitting.
Step 3: Learn that Random Forests use many decision trees instead of just one. This means they make predictions based on the average of all the trees.
Step 4: Realize that by averaging the predictions from multiple trees, Random Forests can reduce the chances of making mistakes that a single tree might make.
Step 5: Conclude that the key advantage of Random Forests is that they provide better predictions by reducing overfitting.

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