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Tags:
educational data mining
Formats:
R
XLSX
XLSX
Publication Year:
2019
Andreas Behr
;
Marco Giese
;
Herve Donald Teguim Kamdjou
;
Katja Theune
Early prediction of university dropouts - a random forest approach
We predict university dropout using random forests based on conditional inference trees and on a broad German data set covering a wide range of aspects of student life and study...
DOI:10.15456/jbnst.2019333.185049
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