Artificial Intelligence Random Forest Algorithm and the Application

Random forest (RF) refers to a combined classifier of machine learning algorithms or a representative algorithm of integrated learning. Bagging algorithm is used to realize the integration of multiple decision trees and output results by voting, which has been well evaluated in industry and academia. This paper analyzes the random forest algorithm of artificial intelligence, hoping to provide a foundation for the subsequent optimization research of the algorithm.