Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
Víctor Rodríguez‐GalianoGlobal Environmental Change and Earth Observation Research Group, Geography and Environment, University of Southampton, Southampton SO17 1BJ, United KingdomM. Sánchez-CastilloDepartment of Haematology, Wellcome Trust and MRC Cambridge Stem Cell Institute and Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, United KingdomMario Chica‐OlmoDepartamento de Geodinámica, Universidad de Granada, 18071‐Granada, SpainM. Chica-RivasDepartamento de Análisis Matemático, Universidad de Granada, 18071 Granada (SPAIN)
2015en
ABI
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