Adakitic rocks hold significant geodynamic and metallogenic implications,and accurately determining their tectonic setting is crucial for understanding regional tectonic-magmatic evolution.However,due to the diverse sources,heat regimes,and magma generation mechanisms of adakitic rocks,conventional low-dimensional geochemical methods face limitations in tectonic setting identification.With the exponential growth of geoscience data and advancements in artificial intelligence,machine learning offers a novel approach to address this challenge.In this study,we integrate machine learning with geolo...
