Many repeated manual feature adjustments and much heuristic parameter tuning are required during the debugging of machine learning (ML)-based transient stability assessment (TSA) of power systems. Furthermore. the results produced by ML-based TSA are often not explainable. This paper handles both the automation and interpretability issues of ML-based TSA. https://www.ealisboa.com/bargain-1984-2001-Jeep-Cherokee-XJ-Front-Suspension-Lift-Kit-Bilstein-Shocks-2WD-4WD-flash-choice/