Decision Tree and Random Forest
Chen Jialuo;Chen Longran;College of Control Science and Engineering, Zhejiang University;Hangzhou Normal University Qianjiang College;
Decision tree algorithm is a research hotspot in the field of data mining. Decision tree represents a mapping relationship between object attributes and object values, which is represented by tree structure and is widely used in practice. Firstly, this paper introduces the information theory, emphatically expounds the principles of three typical decision tree classification algorithms, analyses the advantages and disadvantages of different algorithms, and finally introduces the random forest algorithm based on decision tree and its role in machine learning.
【CateGory Index】： TP18;TP311.13