Revisiting the Geochemical Classification of Zircon Source Rocks Using a Machine Learning Approach

Keyphrases

• Trace Elements 100%
• Zircon 100%
• Machine Learning Approach 100%
• Geochemical Classification 100%
• Source Rock 100%
• Rock Type 50%
• Detrital Zircon 25%
• Quadrupole 25%
• Random Forest 25%
• Decision Tree Analysis 25%
• Classification Model 25%
• Inductively Coupled Plasma Mass Spectrometry 25%
• Precision-recall 25%
• F1 Score 25%
• Trace Element Composition 25%
• Precision Score 25%
• Recall Score 25%
• That-trace 25%
• Carbonatite 25%
• Elemental Fingerprint 25%
• Support Vector Machine Algorithm 25%
• Geochemical Indicators 25%
• Mineral Exploration 25%
• Source Type 25%
• High-precision Classification 25%
• Zircon Trace Elements 25%
• Accurate Classification 25%
• Crystallization Conditions 25%
• Kimberlite 25%
• Nepheline Syenite 25%
• Source Rock Characteristics 25%
• New Dataset 25%

Earth and Planetary Sciences

• Trace Element 100%
• Zircon 100%
• Machine Learning 100%
• Source Rock 100%
• Peridotite 16%
• Inductively Coupled Plasma Mass Spectrometry 16%
• Quadrupole 16%
• Nepheline Syenite 16%
• Carbonatite 16%
• Mineral Exploration 16%
• Igneous Rocks 16%
• Support Vector Machine 16%