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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Optimizing Credit Risk Assessment in Ghanaian Micro-Lending Institutions: A Comparative Analysis of Random Forest, Extra Tree Classifier, and Ensemble Machine Learning Models

2026Journal of Applied Social Sciences and Entrepreneurship EducationJournalOpen access

10.64922/jassee.v1i1.33 Full text0 citations

Authors

7 authors across 4 institutions in 2 countries.

Prince Clement AddoFirst author
- University of Skills Training and Entrepreneurial Development (GH)
Samuel Kofi Akpatsa
Emmanuel Owusu Mensah
Nora Bakabbey Kulbo
- University for Development Studies (GH)
William Asiedu
Joana Dango
- Kumasi Technical University (GH)
William Atuahene AgyeiSenior author

Fields

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

Financial Distress and Bankruptcy Predictionlevel 3 · 0.99
Microfinance and Financial Inclusionlevel 3 · 0.00
Imbalanced Data Classification Techniqueslevel 3 · 0.00

Sources

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

openalexseen September 5, 2026
2026 · Journal of Applied Social Sciences and Entrepreneurship Education · 0 citations
https://openalex.org/W7171955185

Optimizing Credit Risk Assessment in Ghanaian Micro-Lending Institutions: A Comparative Analysis of Random Forest, Extra Tree Classifier, and Ensemble Machine Learning Models · Sankore