A comparative analysis of extreme gradient boosting, decision tree, support vector machines, and random forest algorithm in data analysis of college students' psychological health

URN:NBN:SI:doc-CXNK53WQ2025Li, QiongZhou, Jiandocuments/doc/C/URN_NBN_SI_doc-CXNK53WQ_001.pdfdocuments/doc/C/URN_NBN_SI_doc-CXNK53WQ_001.txt1549articlestr. 127-13310.31449/inf.v49i15.70041854-3871243161091URN:NBN:SI:doc-CXNK53WQengInformatikaInformatica (Ljubljana)BYduševno zdravjenaključni gozdstrojno učenještudentiumetna inteligencaA comparative analysis of extreme gradient boosting, decision tree, support vector machines, and random forest algorithm in data analysis of college students' psychological health