Author(s)

Zexing Hao, Gaizhi Guo

Corresponding Author

Zexing Hao

ABSTRACT

Machine learning is an important method to realize artificial intelligence. The random forest algorithm, which is known for its simplicity and efficiency, is one of the representative algorithms of machine learning. It is a decision tree-based classifier, which selects the best classification tree as the classification algorithm of the final classifier by voting. Currently, it is in news classification, intrusion detection, content information filtering, sentiment analysis, there are a wide range of applications in the field of image processing. This paper will mainly introduce the decision tree, the construction process of random forests, and the research status of random forests in terms of performance improvement and performance indicators.

KEYWORDS

Random forest, decision tree, performance index, machine learning