Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data

Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data

We apply tree-based classification algorithms, namely the classification trees, with the use of the rpart algorithm, random forests and XGBoost methods to detect mood disorder in a group of 2508 lower secondary school students. The dataset presents many challenges, the most important of which is man...

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Bibliographic Details
Main Authors: Elzbieta Turska, Szymon Jurga, Jaroslaw Piskorski
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Entropy
Subjects:
classification
classification trees
rpart algorithm
random forests
XGBoost
mood disorders
Online Access:https://www.mdpi.com/1099-4300/23/9/1210

Internet

https://www.mdpi.com/1099-4300/23/9/1210

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