Predicting Students' Progression in Higher Education by Using the Random Forest Algorithm
Year: 2012
Type: article
DOI: 10.1002/sres.2130
Institution: Manchester Metropolitan University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: closed
OpenAlex ID: W1573845792
