Open access
Aug 2026
Statistical Models and Machine Learning in Depression Detection: Evaluating XGBoost
The research compares the performance of XGBoost with traditional logistic regression and decision tree approaches for identifying and predicting depression and argues that XGBoost has the potential to improve current diagnostic practices by reducing current time and costs.
María Barrera, Cristian Inca, Zilma Diago et al.
· WSEAS Transactions on Biolog... · 0 citations