American Psychological Association 6th edition

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 December 2025. Vol. 3, no. 1, . DOI 10.1007/s44282-025-00304-3.

Modern Language Association 9th edition

Dake, D. K. “Information Technology Graduates Employability Prediction Model in a Low-Income Country Using Tree-Based Machine Learning Classifiers”. Discover Global Society, vol. 3, no. 1, Dec. 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 - Harvard

Dake, 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, available at:https://doi.org/10.1007/s44282-025-00304-3.

Warning: These citations may not always be 100% accurate.