Published July 19, 2023
| Version v0.1
Journal article
Open
Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabelled machine learning – supplement
Authors/Creators
- 1. The University of Sydney
- 2. BHP
Description
Source data used to create training and test datasets for the machine learning models presented in the paper: Alfonso, C.P., Müller, R.D., Mather, B., Anthony, M. In prep. Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabelled machine learning.
Python notebooks and scripts can be found in the GitHub repository.