Machine learning framework for prospectivity mapping of Cu–Au porphyry mineralisation in the Lachlan Fold Belt, eastern Australia
Researchers developed a machine learning framework to predict where copper–gold porphyry deposits are likely to occur in the Lachlan Fold Belt of New South Wales, Australia. By combining geological, geophysical and remote sensing data with a positive-unlabelled bagging and random forest approach, the model successfully captures 95% of known mineral occurrences within just 5% of … Read more…