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Mental State Prediction of College Students Based on Decision Tree

In: Liss 2021

Author

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  • Qixin Bo

    (University of Science and Technology Beijing)

  • Xuedong Gao

    (University of Science and Technology Beijing)

Abstract

Based on the relevant data of college students’ mental health status and various social problems caused by it, this paper constructs a prediction model of college students’ mental health by using decision tree C4.5 algorithm, and extracts classification rules to predict and evaluate the mental health status of college students. The experimental results show that the model has a good accuracy and can correctly classify the mental health status of college students. To some extent, the prediction model can provide reference for the planning and decision-making of mental health education in colleges and universities.

Suggested Citation

  • Qixin Bo & Xuedong Gao, 2022. "Mental State Prediction of College Students Based on Decision Tree," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 345-357, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_32
    DOI: 10.1007/978-981-16-8656-6_32
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    Keywords

    Data mining; Decision tree; C4.5 algorithm; Mental health;
    All these keywords.

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