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1. Introduction Mineral prospectivity mapping (MPM) has seen many advancements over the past 30 years, beginning with the original work by Bonham-Carter [1,2]. MPM involves the use of geoscience data in the form of evidence or predictor maps representing vectors for various types of mineralization. These data are input into machine learning algorithms to produce maps that identify areas with higher probabilities for various types of mineral deposits.
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