Depression is a mental health disorder that requires accurate detection and effective treatment. Electroencephalography (EEG) based analysis has emerged as a promising approach for objective depression evaluation. This study leverages selected EEG features using hybrid feature selection approach to train an EoXGBoost model and evaluates its generalization on unlabeled posttest depression data....