ExploreSA02 Mar - 31 Jul
The Gawler Challenge
This competition has finished.
Interpretable Mineral Prediction Models for Iron, Copper and Gold
A Machine Learning approach was used to identify anomalous mineralogical deposits within the GCAS region. The methodology used considered the imbalanced dataset and was validated using SHAP summary plots and comparing against known deposits. Prediction heatmaps were generated for the GCAS region by element. Zones of interest were then identified from these heatmaps. These zones of interest were investigated further, and targets extracted. Multiple zones of high probability targets have been identified for further investigation.