Which ensemble method combines multiple decision trees and aggregates their results for improved accuracy and reduced overfitting?
- Logistic Regression
- Naive Bayes
- Principal Component Analysis (PCA)
- Random Forest
Random Forest is an ensemble method that combines multiple decision trees. It aggregates their results through techniques like bagging and boosting to achieve better accuracy and reduce overfitting. Random Forest is a popular choice for various machine learning tasks.
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