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The ground under TBM excavation was prone to collapse due to the natural occurrences of fault zones and karstic caves, unlocated by prior geological surveys. Three machine learning classifiers, 1) multilayer perceptron (MLP), 2) support vector machine (SVM), and 3) random forest (RF), were trained on TBM data to predict these collapse incidents.