Prediction Model Hadoop-based for High-risk Students

Abstract

In order to effectively predict high-risk students, this paper proposed a weighted voting combination prediction model based on Hadoop for high-risk students. Firstly, the design idea of the model was given, and the data of students were stored and processed by Hadoop platform. Secondly, according to the prediction method of students' characteristics and selection, a specific weighted voting combination prediction model Hadoopbased for high-risk students was constructed. Finally, the prediction model was evaluated and the rationality of the model was proved. The model can analyze the collected data of students and predicts the high-risk students in big data environment.