The Application of the AdaBoost Algorithm in the Text Classification

Boosting is a representative combined predictive method for improving learning accuracy in machine learning. AdaBoost algorithm is the most typical one in the Boosting family. This paper briefly introduced the AdaBoost algorithm, analyzed and discussed the application of AdaBoost. OC and AdaBoost. MO algorithm as solving the single label problem, and finally discussed and analyzed the AdaBoost. R algorithm to solve a regression problem.