From Scarcity to Solutions: Innovative Evapotranspiration Modeling in Arid Zones
Researcher: Emelia Thembile Kammies
Supervisor: Dr Lyson Chaka

Researcher: Emelia Thembile Kammies
Supervisor: Dr Lyson Chaka
Data mining, a vital machine learning technique, extracts valuable information from raw data across diverse fields like healthcare, retail, logistics, military, banking, and sports. It employs supervised and unsupervised methods, with classification being the most popular. This study evaluated six common machine learning classification models across six different datasets and identified their strengths.
Researcher: Kenneth Matsimbi, University of Limpopo
Supervisors: Dr. Martins A. Arasomwan, University of the Witwatersrand, Johannesburg
Researcher: Siphosihle Lebea, University of the Witwatersrand, Johannesburg
Supervisors: Dr. Martins A. Arasomwan, University of the Witwatersrand, Johannesburg