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

Shanwen Lei

doi:10.62051/ijcsit.v2n3.07

Authors

Shanwen Lei

DOI:

https://doi.org/10.62051/ijcsit.v2n3.07

Keywords:

Decision Tree Regression Model, Python, Data Mining, Predictive Analysis

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.

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References

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