Dake, D. K. (2025). Information technology graduates employability prediction model in a low-income country using tree-based machine learning classifiers. Discover Global Society, 3(1). https://doi.org/10.1007/s44282-025-00304-3
ISO-690 (author-date, English)DAKE, Delali Kwasi, 2025. Information technology graduates employability prediction model in a low-income country using tree-based machine learning classifiers. Discover Global Society. 1 Dezember 2025. Vol. 3, no. 1, . DOI 10.1007/s44282-025-00304-3.
Modern Language Association 9th editionDake, D. K. „Information Technology Graduates Employability Prediction Model in a Low-Income Country Using Tree-Based Machine Learning Classifiers“. Discover Global Society, Bd. 3, Nr. 1, Dezember 2025, https://doi.org/10.1007/s44282-025-00304-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Dake, Delali Kwasi: Information technology graduates employability prediction model in a low-income country using tree-based machine learning classifiers, Discover Global Society 2025,
Emerald - HarvardDake, D.K. (2025), „Information technology graduates employability prediction model in a low-income country using tree-based machine learning classifiers“, Discover Global Society, Vol. 3 No. 1, verfügbar unter:https://doi.org/10.1007/s44282-025-00304-3.