Depression Prediction Using the Classification and Regression Tree (CART)

Depression is a mood disorder that involves the continuing feeling of sadness and loss interest. The crucial life events for an individual, such as losing job may lead to depression. However, feelings grief are clinically diagnosed part depression only if symptoms persist at least two weeks. Eventually, can last several weeks, months, or years. Some overlap with other somatic illnesses cause difficulty in diagnosing it. This research aims use developed forecast model predict future cases it uses classification regression tree (CART) data mining approach, classify whether individual suffers from not. dataset was used this Dataset Students’ Mental Health international university Japan. consists 268 numbers instances has 10 attributes. In addition, acquire results, machine learning software R Studio language Programming. Besides that, evaluation metrics were evaluate performance forecasted accuracy, precision recall. From research, shows value accuracy 0.50(50%), 1.00 (100%) recall 0.50 (50%). Following forecasting highest which 1.00(100%). Furthermore, data, also teenagers age range 18-22 most likely get they have intention suicide. Lastly, future, could be continued more training on different datasets techniques used. improved by adding algorithms best understand strengths weaknesses techniques.