Estimation of emerald mineralization probability using machine learning algorithms

This research proposes a machine learning (ML) model that estimates the probability of emerald mineralization in rocks of the Western Emerald Belt (CEOC). Element concentrations, lithologies and coordinates were used as input variables and productivity as the target variable (176 samples). The varia...

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Bibliographic Details
Main Authors: Daniela Neva-Rodriguez, Luis Hernán Ochoa-Gutierrez
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2025-01-01
Series:Dyna
Subjects:
Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/112504
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