Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention

•Worry is a prevalent mental health issue associated with negative health outcomes•A worry postponement intervention is a personalizable treatment for worry•Mixed models were used to model changes in worry across the intervention•Machine learning models were used to predict worry outcomes via baseline variables•Baseline affective information can be used to accurately predict worry outcomes