Comparative Study of AutoML Approach, Conventional Ensemble Learning Method, and KNearest Oracle-AutoML Model for Predicting Student Dropouts in Sub-Saharan African Countries

Student dropout in secondary schools is a major issue in developing countries, particularly in Sub-Saharan Africa. Sub-Saharan African countries had the highest dropout rate (37.5%), followed by South Asia (15.5%), the Middle East (11%), East Asia (9.5%), Latin America (7%), and Central Asia (3.5%)....

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Detalhes bibliográficos

Principais autores:	Yuda N Mnyawami, Hellen H Maziku, Joseph C Mushi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2022-12-01
coleção:	Applied Artificial Intelligence
Assuntos:	machine learning techniques automated machine learning hyper-parameter optimization techniques student dropout prediction secondary school dropout
Acesso em linha:	http://dx.doi.org/10.1080/08839514.2022.2145632
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