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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

  • 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.

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plate_model.zip

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