as the Ferrobamba Formation is acknowledged as a favorable precipitation environment in skarn systems and may be relevant in district-scale analyses. The study area was defined to encompass the full spatial extent of the Andahuaylas–Yauri Batholith (Figure 3), ensuring geological coherence of the modeling domain. Figure 3 - Location of the study area. 2.2. MACHINE LEARNING INTEGRATION WORKFLOW Spatial predictors derived from Fertility and Architecture were standardized and integrated using two supervised machine learning algorithms: Random Forest (RF) and Artificial Neural Networks (Multilayer Perceptron, MLP)Training labels were defined as: Class 01: Known porphyry–skarn
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