Polynomial Features: Head Grade: Still highly significant with a feature importance of 0.73 and permutation importance of 1.646 (Std: 0.646), though slightly reduced compared to the original feature.
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Interpretable Machine Learning for Identifying Key Variables Influencing Gold Recovery and Grade.
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