Since the most of copper deposits in Iran are porphyry in type, optimizations in exploration of such deposits are of great importance. In exploration of this type of deposits, geophysical and geological perceptions provide useful information for researchers to determine the location of mineralization, separation of high grade zones from background and determination of optimal location of exploration boreholes. Due to the high complexity, interpreting and analyzing of raw data is very difficult; thus, using multivariate statistical analysis and supervised normal" 60% accuracy, provided better performance in classification of data. In Darehzereshk deposit SVM displayed 81% accuracy in comparison to LDA and QDA methods showing 60.7% and 59.5% accuracy respectively.
