Assessment of Undergraduate Psychological Wellbeing Using Explainable Machine Learning: A Study from Sri Lanka

Academic, psychosocial, financial, environmental, and interpersonal factors are widely recognized as important contributors to the overall wellbeing of students. This study aimed to identify factors associated with the psychological wellbeing of university undergraduates and compare the performance of machine learning models for binary and multiclass classification of wellbeing status using self-reported survey data from undergraduates at the University of Peradeniya, Sri Lanka. The findings may facilitate the early identification of students with lower wellbeing and inform targeted interventi

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