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This project builds a machine learning model for Zyfra to predict gold recovery from ore. It aims to optimize production efficiency and remove unprofitable parameters by modeling rougher and final recovery values. Models are evaluated using sMAPE to select the best-performing solution.
In this project, I developed a **binary classification model** to analyze clients’ past behavior and contract termination data to predict whether a customer is likely to leave the company.