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1 Ergebnisse
1
Students' Academic Performance and Engagement Prediction in..:
Khurram Jawad
;
Muhammad Arif Shah
;
Muhammad Tahir
https://www.mdpi.com/2071-1050/14/22/14795. , 2022
Link:
https://doi.org/10.3390/su142214795
RT Journal T1
Students' Academic Performance and Engagement Prediction in a Virtual Learning Environment Using Random Forest with Data Balancing
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:95cf3df856b445ec85610000eadfd3e1&Exemplar=1&LAN=DE A1 Khurram Jawad A1 Muhammad Arif Shah A1 Muhammad Tahir PB MDPI AG YR 2022 K1 student academic performance K1 virtual learning environment K1 random forest K1 SMOTE K1 Environmental effects of industries and plants K1 TD194-195 K1 Renewable energy sources K1 TJ807-830 K1 Environmental sciences K1 GE1-350 JF https://www.mdpi.com/2071-1050/14/22/14795 LK http://dx.doi.org/https://doi.org/10.3390/su142214795 DO https://doi.org/10.3390/su142214795 SF ELIB - SuUB Bremen
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