A robust evaluating strategy of tunnel deterioration using ensemble machine learning algorithms

Liang Du, Zhang Rui, Yuguang Fu

Abstract: Highlights•Novel data-driven strategy evaluates tunnel deterioration accurately and robustly.•Use of both the latest and traditional models enhances model coverage.•Comparative analysis of numerical and categorical features in model performance.•A robust and accurate strategy for diverse tunnel datasets and model choices.