 The proposed RFKNN underscore MPA algorithm is a powerful tool for accurately predicting the distribution of mineral grades within a deposit. It outperformed other techniques such as geostatistics and conventional machine learning techniques, offering a novel solution to a problem with practical applications in the mining sector. This article was authored by M. M. Zaki, Xiao Jieqian, Ji Chengzhang, and others.