Advancing Flotation Process Modeling: Bayesian vs. Sklearn Approaches for Gold Grade Prediction

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Advancing Flotation Process Modeling: Bayesian vs. Sklearn Approaches for Gold Grade Prediction

This study explores Bayesian Ridge Regression and PyMC-based probabilistic modelling to predict the cumulative grade of gold based on key operational variables in gold flotation. By integrating prior knowledge and quantifying uncertainty, the Bayesian approach enhances both interpretability and pred...

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Bibliographic Details
Main Author:	Devasahayam, Sheila
Format:	Journal Article
Language:	English
Published:	MDPI AG 2025
Online Access:	http://hdl.handle.net/20.500.11937/97944

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