Juraj Majzlan

Modeling of Cu, Pb, and Zn reservoirs in crustal igneous rocks using explainable machine learning

Abstract Here we use explainable machine-learning (ML) analysis to determine which variables, so-called features, are most important for the prediction of trace concentrations of Cu, Pb, and Zn in a large data set for igneous rocks. After data filtering and preparation, a gradien...