Introduction Predicting rock shear strength parameters is crucial for safe and cost-effective rock engineering projects. Traditional models often struggle with nonlinearities and complex interactions in geological data. This article presents a data-driven framework that combines advanced machine learning with interpretability analysis to predict rock shear strength parameters more accurately and transparently. The framework addresses two…