Predicting Mental Health Illness using Machine Learning Algorithms

Abstract Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality life. Mental is about one’s psychological, emotional, social well-being. It affects the way how one thinks, feels, acts. very important at every stage life, from childhood adolescence through adulthood. This study identified five machine learning techniques assessed their accuracy in identifying using several criteria. The are Logistic Regression, K-NN Classifier, Decision Tree Random Forest, Stacking. We have compared these implemented also obtained most accurate Stacking technique based with an prediction 81.75%.