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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Comparative Analysis of Machine Learning Models on Employees’ Attrition Prediction

2024Publication

10.1109/seb4sdg60871.2024.10629847 Full text1 citations

Authors

9 authors.

Christianah O. AkinduyiteFirst author
- Afe Babalola University (NG)
Abiodun Oguntimilehin
- Afe Babalola University (NG)
Bukola Badeji-Ajisafe
- Afe Babalola University (NG)
Stephen E. Obamiyi
- Afe Babalola University (NG)
Toyin Okebule
- Afe Babalola University (NG)
Kehinde Adebola Olatunji
- Afe Babalola University (NG)
as printed: Kehinde A. Olatunji
Oluwaseyi Adesina Adeyemo
- Afe Babalola University (NG)
as printed: Oluwaseyi A. Adeyemo
Gbemisola O. Babalola
- Afe Babalola University (NG)
Sarima L. CollinsSenior author
- Afe Babalola University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

AI and HR Technologieslevel 3 · 0.92

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · 1 citations
https://openalex.org/W4401608656

Comparative Analysis of Machine Learning Models on Employees’ Attrition Prediction · Sankore