main webpage W Topic Decision Tree Learning Journal of Physics Conference Series • Vol 2161 • No 1 Predicting Mental Health Illness using Machine Learning Algorithms 2022 Abstract Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feel… Article Open Decision Tree Learning Open Article Page

Decision Tree Learning

Machine learning algorithm Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called classification trees ; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees . Critical Symbolic Virtual Narrative Open Decision Tree Learning Open Article Page

Exploring foci of: Journal of Physics Conference Series • Vol 2161 • No 1 Predicting Mental Health Illness using Machine Learning Algorithms 2022 Abstract Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feels, and acts. Mental health is very important at every stage of life, from childhood and adolescence through adulthood. This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy… Open Article Page

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Explore Decision Tree Learning W Topic Decision Tree Learning Journal of Physics Conference Series • Vol 2161 • No 1 Predicting Mental Health Illness using Machine Learning Algorithms 2022 Abstract Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feel… Article Critical Symbolic Virtual Narrative Open Decision Tree Learning Open Article Page