Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches-Reference-Cited by-同舟云学术

Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 Conference on Information Communications Technology and Society (ICTAS)
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Author:

Mbunge Elliot¹,Sibiya Maureen Nokuthula²,Takavarasha Sam³,Millham Richard C⁴,Chemhaka Garikayi⁵,Muchemwa Benhildah⁶,Dzinamarira Tafadzwa⁷

Affiliation:

1. University of Eswatini (formerly Swaziland),Faculty of Science and Engineering,Department of Computer Science

2. Mangosuthu University of Technology,Research, Innovation and Engagement,Umlazi,South Africa,4031

3. Women's University of Africa,Faculty of Management and Entrepreneurial Sciences,Harare,Zimbabwe

4. Durban University of Technology,Faculty of Accounting and Informatics,Department of Information,South Africa,4001

5. University of Eswatini,Faculty of Social Sciences,Department of Statistics and Demography,Kwaluseni,Eswatini

6. University of Eswatini (formerly Swaziland),Faculty of Science and Engineering,Department of Computer Science,Manzini,Eswatini

7. ICAP,Harare,Zimbabwe

Publisher

IEEE

Link

Reference45 articles.

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