Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students’ Learning Performance - Huynh-Cam, Thao-Trang; Chen, Long-Sheng; Le, Huynh (Algorithms, 2021)
Keywords: Academic achievement; Algorithms; Artificial intelligence; At risk students; College students; Colleges & universities; Data mining; Decision making; decision tree (DT); Decision trees; Economic factors; Education; feature selection; Gender; Learning; Machine learning; Multilayer perceptrons; Performance prediction; prediction model; Prediction models; random forest (RF); Schools; Students; students’ learning performance; technological and vocational education; Tuition; University students; Taiwan