Predicting the Unpredictable: Identifying Patient-Level Drivers of Predictive Error Across Psychotherapy Outcome Algorithms

Introduction: Machine learning models for psychotherapy outcome prediction are typically evaluated using aggregate performance metrics, with prediction errors treated as unsystematic noise. This study examined whether conditional prediction difficulty is systematically associated with patient charac