A Study into the Classification and Prediction of University Teachers' Workload Assessment Based on Naive Bayesian

摘要

This paper serves the management system of college teachers, provides decision support for the workload assessment of college teachers, and predicts the teaching burden of college teachers with the help of Naive Bayesian classification model. This paper uses the workload of teachers in a college in 16 years of a university as the data basis. The experiment proves that the Naive Bayesian classification process is a simple and easy to implement method. This can be used to predict and assist assessment decision-making on the assessment classification of university teachers' workload.