A study on the factors influencing university students’ subjective well-being based on machine learning methods

Abstract Subjective well-being is a key area of research in psychology. Based on survey data from 384 university students, this study employed automated machine learning methods to construct a predictive model of subjective well-being, in which the Support Vector Machine (SVM) model performed best,...

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Hauptverfasser:	Yunkun Zhang, Muhammad Syawal Amran, Hazrati Husnin, Lanlan Yin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2026-03-01
Schriftenreihe:	BMC Psychology
Schlagworte:	Subjective well-being Family functioning Psychological risk factors Machine learning methods
Online-Zugang:	https://doi.org/10.1186/s40359-026-04415-7
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