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Which of the following is NOT a characteristic of Random Forests?
Practice Questions
Q1
Which of the following is NOT a characteristic of Random Forests?
They use multiple decision trees.
They are less prone to overfitting.
They can handle missing values.
They always provide the best accuracy.
Questions & Step-by-Step Solutions
Which of the following is NOT a characteristic of Random Forests?
Steps
Concepts
Step 1: Understand what Random Forests are. They are a type of machine learning model that uses many decision trees to make predictions.
Step 2: Know the characteristics of Random Forests. They are usually robust, can handle large datasets, and reduce overfitting.
Step 3: Identify what is NOT a characteristic. While they are strong models, they do not always provide the best accuracy for every dataset.
Step 4: Conclude that the statement about not guaranteeing the best accuracy is correct and is NOT a characteristic of Random Forests.
No concepts available.
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