Teen Substance Use Prediction: Dynamic ABCD Models Improved AUROC
A 2026 ABCD Study preprint found that teen substance-use initiation prediction improved more when models included changing risk over time than when they simply switched from logistic regression to multi-task learning.1 Dynamic models raised AUROC by 0.044 to 0.062 in multi-task learning and by 0.050 to 0.084 in logistic regression, which makes timing the main …
