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 computer mathematics and engineering applications
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 , statistics , gradient boosting , computer science , boosting (machine learning) , predictive modelling , mathematics , machine learning , philosophy , theology
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