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Iron Ore Quality Prediction Using ML by rkgadalhat is a document available to read on EtoBox.

The document discusses predicting the percentage of silica concentrate in iron ore using machine learning algorithms. It describes variables in an iron ore froth flotation process and the dataset used. Various regression algorithms are compared to determine the best model for predicting silica concentrate without using iron concentrate as a feature.

Author
rkgadalhat
Language
EN