Contrasting prediction methods for early warning systems at undergraduate level

Article ID	Journal	Published Year	Pages	File Type
6841958	The Internet and Higher Education	2018	20 Pages	PDF

Abstract

Abbreviations: Bayesian Additive Regressive Trees (BART); Random Forests (RF); Principal Components Regression (PCR); Multivariate Adaptive Regression Splines (Splines); K-Nearest Neighbours (KNN); Neural Networks (NN) and; Support Vector Machine (SVM)

Keywords

KNN Splines BART Learning analytics Multivariate adaptive regression splines Random forests undergraduate education Principal components regression Early warning systems Neural networks Support vector machine SVM Prediction modelling k-nearest neighbours PCR