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A Review On Random Forest: An Ensemble Classifier by matheusgomes.finkler is a document available to read on EtoBox.

What is A Review On Random Forest: An Ensemble Classifier about?

This paper reviews the Random Forest algorithm, an ensemble classifier that combines multiple decision trees to improve classification accuracy and reduce overfitting. It discusses the historical development of Random Forest, its advantages over other classification methods like boosting and bagging, and its wide range of applications. The authors aim to provide a comprehensive understanding of Random Forest for non-specialists, highlighting its effectiveness in various fields such as web page classificatio

Author

matheusgomes.finkler

Language

EN