Analysis and Implementation of University Teacher Salary Prediction Based on Decision Tree Regression Model

Abstract

This study is based on the decision tree regression model, utilizing the Python programming language and third-party libraries such as Scikit-learn, to mine and analyze data of university teachers over the past five years. A decision tree regression model is constructed, enabling the prediction and analysis of university teacher salaries. This achievement provides university administrators with a more scientific, objective, and efficient decision-making reference, aiding in the construction of a more scientific and systematic budget management system for universities.