Constanza Núñez

Stacking Ensemble Learning for Copper Grade Prediction at the Sungun Porphyry Copper Deposit: Statistical Performance Versus Geological Coherence

Mineral resource estimation has traditionally relied on geostatistical techniques such as Ordinary Kriging (OK), which explicitly account for spatial continuity but may introduce smoothing effects and require extensive manual parameterization. In parallel, Machine Learning (ML) methods have emerged as flexible alternat...