EGU25-275, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-275
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Application of Machine Learning Algorithms to Predict Rock Types Using Geochemical Data: A Case Study from the Obuasi Gold District, Ghana
- 1Geological Engineering Department, Faculty of Geosciences and Environmental Studies, University of Mines and Technology,Tarkwa, Ghana (bellomuhammed1999@gmail.com, edsunkari@umat.edu.gh )
- 2Department of Chemical Sciences, Faculty of Science, University of Johannesburg, Johannesburg, South Africa ( edsunkari@umat.edu.gh)
- 3Department of Computer Science and Engineering, Faculty of Computing and Mathematical Sciences, University of Mines and Technology, Tarkwa, Ghana (awbasit99@gmail.com)
How to cite: Muhammed, A. B., Sunkari, E. D., and Basit, A. W.: Application of Machine Learning Algorithms to Predict Rock Types Using Geochemical Data: A Case Study from the Obuasi Gold District, Ghana, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-275, https://doi.org/10.5194/egusphere-egu25-275, 2025.