To enhance interpretability, the SHAP framework was utilized being a sport-theory–primarily based method that assigns each aspect a measurable influence on predictions. K-fold cross-validation is especially practical for protecting against overfitting, mainly because it enables us to comprehensively evaluate a model’s predictive functionality on various elements of the dataset. https://medium.com/@vertechs/fluid-rheology-and-its-transformative-role-in-modern-oilfield-operations-c860e56e98a6