Realization of Student Grade Prediction Based on the Random Forest Algorithm
Educational data mining is one of the important fields in data mining,and grade prediction is its key re-search content.Grade data is an important reflection of students'learning behavior.Based on data mining technol-ogy,this paper explores the correlation between behavioral characteristics and academic performance by collecting various data such as students'basic information,book borrowing,consumption behavior and access control data,and builds a grade prediction model based on student behavior data,in order to achieve the early warning of the ab-normal situation of students,optimize the teaching implementation process,and promote the training,guidance and management of different groups of students.
Random forestGrade predictionR languageData mining
NETL
NSTL
万方数据
