Application of Machine Learning on Identifying the Strongest Predictors for Adolescent Positive Mental Health and Mental Health Difficulties

This study leveraged machine learning and feature importance analysis to identify the strongest predictors for positive mental health and mental health problems among adolescents. The findings showed that compared to traditional statistical modeling, machine learning provided higher predictive power. Furthermore, the strongest predictors for positive and negative mental health differed.