Predicting adolescent conduct problems: A machine learning approach using early family and child predictors.
Early recognition of predictors of adolescents' conduct problems is crucial for timely intervention. The use of traditional regression models, however, is limited in the ability to identify non-linear relationships between predictor variables. This study employed multiple machine learning algorithms to predict adolesce...