This research paper presents a comparative analysis of various machine learning classifiers for the detection of depression using questionnaire data. Depression is a prevalent mental health issue worldwide, and its early detection is crucial for effective intervention and treatment. The study utilizes a dataset consisting of responses to ten questions (q1-q10) from individuals, along with their corresponding depression class labels. Keywords— Depression detection, Machine learning classifiers, Questionnaire data, Comparative analysis, Mental health.