Open AccessPrediction of Undergraduate Student’s Study Completion Status Using MissForest Imputation in Random Forest and XGBoost Models
Author(s) -
Intan Nirmala,
Hari Wijayanto,
Khairil Anwar Notodiputro
Publication year - 2022
Publication title -
comtech/comtech
Language(s) - English
Resource type - Journals
eISSN - 2476-907X
pISSN - 2087-1244
DOI - 10.21512/comtech.v13i1.7388
Subject(s) - imputation (statistics) , random forest , missing data , christian ministry , computer science , gradient boosting , boosting (machine learning) , statistics , predictive modelling , machine learning , mathematics , philosophy , theology