hydropython/MLAs-for-groundwater-potential-zone-mapping-

Kidist Eshetu

Kidist Eshetu

To predict possible groundwater sites for the research region, this effort was done using machine learning models of the random forest classifier (RFC), a gradient boosting classifier (GBC), a decision tree classifier (DTC), and a K-Neighbors classifier (k-NN).
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Posted Aug 7, 2024

To predict possible groundwater sites for the research region, this effort was done using machine learning models of the random forest classifier (RFC), a gra…